IEOR E Fieldwork. 0 points.

IEOR E1000 Frontiers in Operations Research and Data Analytics. 1.00 point.

Introductory course for overview of modern approaches and ideas of operations research and data analytics. Through a series of interactive sessions, students engage in activities exploring OR topics with various faculty members from the IEOR department

Spring 2024: IEOR E1000
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 1000 001/12883 F 1:30pm - 2:30pm
141 Uris Hall
Yi Zhang 1.00 53/60

IEOR E2000 Data Engineering with Python. 3.00 points.

Introduction to essential data engineering methods. Potential topics include Arrays, Linked Lists, Stacks and Queues, Trees and Graphs, Hash Tables, Search Algorithms and Efficiency, Relational databases, SQL, NoSQL, and Data Wrangling. Practice both theory and applications using Python programming. Prerequisites: ENGI E1006 or competency in Python

Spring 2024: IEOR E2000
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 2000 001/11815 M W 2:40pm - 3:55pm
303 Seeley W. Mudd Building
Yi Zhang 3.00 34/50

IEOR E2261 ACCOUNTING AND FINANCE. 3.00 points.

Lect: 3.

Prerequisites: (ECON UN1105)
For undergraduates only. Examines the fundamental concepts of financial accounting and finance, from the perspective of both managers and investors. Key topics covered include principles of accrual accounting; recognizing and recording accounting transactions; preparation and analysis of financial statements; ratio analysis; pro-forma projections; time value of money (present values, future values and interest/discount rates); inflation; discounted-cash-flow (DCF) project evaluation methods; deterministic and probabilistic measures of risk; capital budgeting

Fall 2023: IEOR E2261
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 2261 001/12327 F 10:10am - 12:40pm
614 Schermerhorn Hall
Nadejda Zaets 3.00 106/120

IEOR E3106 STOCHASTIC SYSTEMS AND APPLICATIONS. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3658) and
Some of the main stochastic models used in engineering and operations research applications: discrete-time Markov chains, Poisson processes, birth and death processes and other continuous Markov chains, renewal reward processes. Applications: queueing, reliability, inventory, and finance. IEOR E3106 must be completed by the fifth term. Only students with special academic circumstances may be allowed to take these courses in alternative semesters with the consultation of CSA and Departmental advisers

Fall 2023: IEOR E3106
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3106 001/11851 T Th 11:40am - 12:55pm
310 Fayerweather
Kaizheng Wang 3.00 95/96

IEOR E3402 PRODUCTN-INVENTORY PLAN-CONTRL. 4.00 points.

Lect: 3. Recit: 1.

Prerequisites: (IEOR E3608) and (IEOR E3658) and
For undergraduates only. Required for all undergraduate students majoring in IE, OR:EMS, OR:FE, and OR. Must be taken during (or before) the sixth semester. Inventory management and production planning. Continuous and periodic review models: optimal policies and heuristic solutions, deterministic and probabilistic demands. Material requirements planning. Aggregate planning of production, inventory, and work force. Multi-echelon integrated production-inventory systems. Production scheduling. Term project. Recitation section required

Spring 2024: IEOR E3402
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3402 001/11586 M W 8:40am - 9:55am
614 Schermerhorn Hall
Ali Sadighian 4.00 67/100

IEOR E3404 SIMULATION MODELING AND ANALYSIS. 4.00 points.

Prerequisites: (IEOR E3658) and (IEOR E4307) and knowledge of a programming language such as Python, C, C++ or Matlab.
Corequisites: IEOR E3106
It is strongly advised that Stochastic modeling (IEOR E3106 or IEOR E4106) be taken before this course. This is an introductory course to simulation, a statistical sampling technique that uses the power of computers to study complex stochastic systems when analytical or numerical techniques do not suffice. The course focuses on discrete-event simulation, a general technique used to analyze a model over time and determine the relevant quantities of interest. Topics covered in the course include the generation of random numbers, sampling from given distributions, simulation of discrete-event systems, output analysis, variance reduction techniques, goodness of fit tests, and the selection of input distributions. The first half of the course is oriented toward the design and implementation of algorithms, while the second half is more theoretical in nature and relies heavily on material covered in prior probability courses. The teaching methodology consists of lectures, recitations, weekly homework, and both in-class and take-home exams. Homework almost always includes a programming component for which students are encouraged to work in teams

Spring 2024: IEOR E3404
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3404 001/11816 T Th 10:10am - 11:25am
303 Seeley W. Mudd Building
Christopher Dolan 4.00 80/73

IEOR E3608 FOUNDATIONS OF OPTIMIZATION. 3.00 points.

Lect: 3.

Prerequisites: (MATH UN2010)
Corequisites: COMS W3134,COMS W3137
This first course in optimization focuses on theory and applications of linear optimization, network optimization, and dynamic programming

Fall 2023: IEOR E3608
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3608 001/11970 M W 11:40am - 12:55pm
428 Pupin Laboratories
Eric Balkanski 3.00 92/95

IEOR E3609 ADVANCED OPTIMIZATION. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3608)
For undergraduates only. Required for all undergraduate students majoring in IE, OR:EMS, OR:FE, and OR. This is a follow-up to IEOR E3608 and will cover advanced topics in optimization, including integer optimization, convex optimization, and optimization under uncertainty, with a strong focus on modeling, formulations, and applications

Spring 2024: IEOR E3609
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3609 001/11817 M W 4:10pm - 5:25pm
303 Seeley W. Mudd Building
Jay Sethuraman 3.00 70/73

IEOR E3658 PROBABILITY FOR ENGINEERS. 3.00 points.

Lect: 3.

Prerequisites: Solid knowledge of calculus, including multiple variable integration.
Introductory course to probability theory and does not assume any prior knowledge of subject. Teaches foundations required to use probability in applications, but course itself is theoretical in nature. Basic definitions and axioms of probability and notions of independence and conditional probability introduced. Focus on random variables, both continuous and discrete, and covers topics of expectation, variance, conditional distributions, conditional expectation and variance, and moment generating functions. Also Central Limit Theorem for sums of random variables. Consists of lectures, recitations, weekly homework, and in-class exams

Fall 2023: IEOR E3658
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3658 001/11981 T Th 10:10am - 11:25am
833 Seeley W. Mudd Building
Daniel Lacker 3.00 111/120
Spring 2024: IEOR E3658
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3658 001/11818 T Th 10:10am - 11:25am
310 Fayerweather
Daniel Lacker 3.00 96/96

IEOR E3700 Research Immersion in OR and Data Analytics. 3.00 points.

An overview of active research areas in Operations Research and Data Analytics, and an introduction to the essential components of research studies. This course helps students develop fundamental research skills, including paper reading, problem formulation, problem-solving, scientific writing, and research presentation. Classes are in seminar format, with students analyzing research papers, developing research projects, and presenting research findings

Spring 2024: IEOR E3700
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3700 001/11819 T Th 2:40pm - 3:55pm
627 Seeley W. Mudd Building
Eric Balkanski 3.00 20/35

IEOR E3899 Research Training. 0.00 points.

Research training course. Recommended in preparation for laboratory related research

IEOR E3900 UNDERGRAD RESEARCH OR PROJECT. 1.00-3.00 points.

Prerequisites: approval by a faculty member who agrees to supervise the work.
Independent work involving experiments, computer programming, analytical investigation, or engineering design

Spring 2024: IEOR E3900
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3900 001/11712  
Anish Agarwal 1.00-3.00 0/40
IEOR 3900 002/11713  
Shipra Agrawal 1.00-3.00 0/40
IEOR 3900 003/11715  
Eric Balkanski 1.00-3.00 0/40
IEOR 3900 004/11716  
Daniel Bienstock 1.00-3.00 0/40
IEOR 3900 005/11718  
Agostino Capponi 1.00-3.00 0/40
IEOR 3900 006/11719  
Rachel Cummings 1.00-3.00 0/40
IEOR 3900 007/11721  
Antonius Dieker 1.00-3.00 0/40
IEOR 3900 008/11723  
Christopher Dolan 1.00-3.00 0/40
IEOR 3900 009/11724  
Adam Elmachtoub 1.00-3.00 0/40
IEOR 3900 010/11725  
Yuri Faenza 1.00-3.00 1/40
IEOR 3900 011/11726  
Donald Goldfarb 1.00-3.00 0/40
IEOR 3900 012/11727  
Vineet Goyal 1.00-3.00 0/40
IEOR 3900 013/11728  
Ali Hirsa 1.00-3.00 0/40
IEOR 3900 014/11729  
Garud Iyengar 1.00-3.00 0/40
IEOR 3900 015/11730  
Hardeep Johar 1.00-3.00 0/40
IEOR 3900 016/11731  
Cedric Josz 1.00-3.00 0/40
IEOR 3900 017/11732  
Soulaymane Kachani 1.00-3.00 4/40
IEOR 3900 018/11733  
Yaren Kaya 1.00-3.00 0/40
IEOR 3900 019/11734  
Christian Kroer 1.00-3.00 0/40
IEOR 3900 020/11735  
Daniel Lacker 1.00-3.00 0/40
IEOR 3900 021/11737  
Henry Lam 1.00-3.00 0/40
IEOR 3900 022/11740  
Fabrizio Lecci 1.00-3.00 0/40
IEOR 3900 023/11741  
Uday Menon 1.00-3.00 0/40
IEOR 3900 024/11742  
Jay Sethuraman 1.00-3.00 0/40
IEOR 3900 025/11743  
Karl Sigman 1.00-3.00 0/40
IEOR 3900 026/11744  
Clifford Stein 1.00-3.00 0/40
IEOR 3900 027/11746  
Wenpin Tang 1.00-3.00 0/40
IEOR 3900 028/11750  
Kaizheng Wang 1.00-3.00 0/40
IEOR 3900 029/11754  
David Yao 1.00-3.00 0/40
IEOR 3900 030/11755  
Yi Zhang 1.00-3.00 7/40
IEOR 3900 031/11757  
Xunyu Zhou 1.00-3.00 0/40
IEOR 3900 032/11711  
Carmen Ng, Cindy Borgen 1.00-3.00 1/40

IEOR E3999 FIELDWORK. 1.00-1.50 points.

1-1.5 pts. (up to 2 pts. summer only)

Prerequisites: Obtained internship and approval from faculty advisor.
Prerequisites: Obtained internship and approval from faculty advisor. Only for IEOR undergraduate students who need relevant work experience as part of their program of study. Final reports are required. This course may not be taken for pass/fail credit or audited

Fall 2023: IEOR E3999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3999 001/18705  
Yi Zhang, Cindy Borgen 1.00-1.50 1/40
Spring 2024: IEOR E3999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 3999 001/11674  
Yi Zhang 1.00-1.50 2/50

IEOR E4001 DESIGN/MGT OF PROD/SERV SYSTMS. 3.00 points.

IEOR E4003 CORPORATE FINANCE FOR ENGINEERS. 3.00 points.

Lect: 3.

Introduction to the economic evaluation of industrial projects. Economic equivalence and criteria. Deterministic approaches to economic analysis. Multiple projects and constraints. Analysis and choice under risk and uncertainty

Fall 2023: IEOR E4003
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4003 001/13158 Th 7:10pm - 9:40pm
303 Seeley W. Mudd Building
Maya Waisman 3.00 61/73

IEOR E4004 OPTIMIZATION MODELS AND METHODS. 3.00 points.

Lect: 3.

A graduate course only for MS&E, IE, and OR students. This is also required for students in the Undergraduate Advanced Track. For students who have not studied linear programming. Some of the main methods used in IEOR applications involving deterministic models: linear programming, the simplex method, nonlinear, integer and dynamic programming

Fall 2023: IEOR E4004
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4004 001/11497 M W 11:40am - 12:55pm
833 Seeley W. Mudd Building
Yaren Kaya 3.00 98/100
IEOR 4004 002/11798 M W 4:10pm - 5:25pm
203 Mathematics Building
Yaren Kaya 3.00 107/100
Spring 2024: IEOR E4004
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4004 001/11679 M W 2:40pm - 3:55pm
614 Schermerhorn Hall
Daniel Bienstock 3.00 116/110
IEOR 4004 002/11682 M W 4:10pm - 5:25pm
833 Seeley W. Mudd Building
Daniel Bienstock 3.00 85/110

IEOR E4007 OPT MODELS & METHODS FOR FE. 3.00 points.

Lect: 3.

Prerequisites: Linear algebra.
Linear, quadratic, nonlinear, dynamic, and stochastic programming. Some discrete optimization techniques will also be introduced. The theory underlying the various optimization methods is covered. The emphasis is on modeling and the choice of appropriate optimization methods. Applications from financial engineering are discussed

Fall 2023: IEOR E4007
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4007 001/12419 M W 10:10am - 11:25am
833 Seeley W. Mudd Building
Garud Iyengar 3.00 105/120

IEOR E4008 COMPUTATION DISCRETE OPT. 3.00 points.

Not offered during 2023-2024 academic year.

Discrete optimization problems. Mathematical techniques and testing strengths and limits in practice on relevant applications. Transportation (travelling salesman and vehicle routing) and matching (online advertisement and school allocation) problems

Spring 2024: IEOR E4008
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4008 001/11683 M W 10:10am - 11:25am
415 Schapiro Cepser
Yuri Faenza 3.00 16/40

IEOR E4009 NON-LINEAR OPTIMIZATION. 3.00 points.

Lect.: 2.5.Not offered during 2023-2024 academic year.

Prerequisites: A course on optimization models and methods (at the level of IEOR 4004) and a course on linear algebra.
Unconstrained and constrained nonlinear optimization involving continuous functions. Additionally, fundamental concepts such as optimality conditions and convergence, principle focus on practical optimization methods

IEOR E4100 STATISTICS & SIMULATION. 1.50 point.

Lecture 1.5

Prerequisites: Understanding of single- and multi-variable calculus.
Probability and simulation. Statistics building on knowledge in probability and simulation. Point and interval estimation, hypothesis testing, and regression. A specialized version of IEOR E4150 for MSE and MSBA students who are exempt from the first half of IEOR E4101. Must obtain waiver for E4101

Fall 2023: IEOR E4100
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4100 001/12480 M W 10:10am - 11:25am
312 Mathematics Building
Christopher Dolan 1.50 1/10
IEOR 4100 002/12482 M W 1:10pm - 2:25pm
501 Northwest Corner
Christopher Dolan 1.50 1/10
IEOR 4100 003/12483 M W 4:10pm - 5:25pm
833 Seeley W. Mudd Building
Karl Sigman 1.50 0/10

IEOR E4101 PROBABILITY STAT & SIMULATION. 3.00 points.

Prerequisites: Understanding of singe and multi-variable calculus.
Basic probability theory, including independence and conditioning, discrete and continuous random variable, law of large numbers, central limit theorem, and stochastic simulation, basic statistics, including point and interval estimation, hypothesis testing, and regression; examples from business applications such as inventory management, medical treatments, and finance. A specialized version of IEOR E4150 for MSE and MSBA students

Fall 2023: IEOR E4101
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4101 001/12063 M W 10:10am - 11:25am
312 Mathematics Building
Christopher Dolan 3.00 94/90
IEOR 4101 002/12071 M W 1:10pm - 2:25pm
501 Northwest Corner
Christopher Dolan 3.00 98/90

IEOR E4102 STOCHASTIC MODELING FOR MSE. 3.00 points.

Prerequisites: IEOR E4101
Introduction to stochastic processes and models, with emphasis on applications to engineering and management; random walks, gambler’s ruin problem, Markov chains in both discrete and continuous time, Poisson processes, renewal processes, stopping times, Wald’s equation, binomial lattice model for pricing risky assets, simple option pricing; simulation of simple stochastic processes, Brownian motion, and geometric Brownian motion. A specialized version of IEOR E4106 for MSE students

Spring 2024: IEOR E4102
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4102 001/11697 T Th 10:10am - 11:25am
209 Havemeyer Hall
Antonius Dieker 3.00 86/110

IEOR E4106 STOCHASTIC MODELS. 3.00 points.

Lect: 3.

Prerequisites: (STAT GU4001)
Some of the main stochastic models used in engineering and operations research applications: discrete-time Markov chains, Poisson processes, birth and death processes and other continuous Markov chains, renewal reward processes. Applications: queueing, reliability, inventory, and finance

Fall 2023: IEOR E4106
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4106 001/12430 M W 2:40pm - 3:55pm
614 Schermerhorn Hall
3.00 92/120
Spring 2024: IEOR E4106
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4106 001/11703 T Th 10:10am - 11:25am
501 Northwest Corner
Kaizheng Wang 3.00 156/150

IEOR E4108 SUPPLY CHAIN ANALYTICS. 3.00 points.

Prerequisites: IEOR E3402, IEOR E4000 or instructor’s permission.

Prerequisites: see notes re: points IEOR 3402, IEOR 4000 or permission of instructor
Supply chain management, model design of a supply chain network, inventories, stock systems, commonly used inventory models, supply contracts, value of information and information sharing, risk pooling, design for postponement, managing product variety, information technology and supply chain management; international and environmental issues. Note: replaced IEOR E4000 beginning in fall 2018

Spring 2024: IEOR E4108
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4108 001/11704 T Th 2:20pm - 3:50pm
Othr Other
Awi Federgruen 3.00 20/25

IEOR E4111 OPERATIONS CONSULTING. 3.00 points.

Prerequisites: (IEOR E3658) and (IEOR E4307) or (STAT GU4001) and Deterministic Models at the level of IEOR E3608 or IEOR E4004, or instructor permission.
Aims to develop and harness the modeling, analytical, and managerial skills of engineering students and apply them to improve the operations of both service and manufacturing firms. Structured as a hands-on laboratory in which students "learn by doing" on real-world consulting projects (October to May). The student teams focus on identifying, modeling, and testing (and sometimes implementing) operational improvements and innovations with high potential to enhance the profitability and/or achieve sustainable competitive advantage for their sponsor companies. The course is targeted toward students planning careers in technical consulting (including operations consulting) and management consulting, or pursuing positions as business analysts in operations, logistics, supply chain and revenue management functions, positions in general management, and future entrepreneurs

Fall 2023: IEOR E4111
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4111 001/12076 Th 7:10pm - 9:40pm
501 Northwest Corner
Soulaymane Kachani 3.00 90/100
Spring 2024: IEOR E4111
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4111 001/11705 Th 7:10pm - 9:40pm
501 Northwest Corner
Soulaymane Kachani 3.00 0/0

IEOR E4150 INTRO-PROBABILITY & STATISTICS. 3.00 points.

Lect: 3.

Prerequisites: Calculus, including multiple integration.
Covers the following topics: fundamentals of probability theory and statistical inference used in engineering and applied science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference: pint and confidence interval estimation, hypothesis tests, linear regression. For IEOR graduate students

Fall 2023: IEOR E4150
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4150 001/12431 T Th 8:40am - 9:55am
301 Pupin Laboratories
Antonius Dieker 3.00 175/160

IEOR E4177 Think Bigger. 3.00 points.

Innovative solutions to complex problems that are both novel and useful. Focuses on The Think Bigger Innovation Method, uses decision-making theory, cognitive science, and industry practice to facilitate creativity and innovation. Designed to foster new ideas during the beginning of the semester that will then function as the seeds for entrepreneurially minded. Culminates in a final project with presentation of formal and polished pitch of an innovative idea in front of a distinguished panel of successful minds from across the city

IEOR E4199 MSIEOR Quantitative Bootcamp. 0.00 points.

Zero-credit course. Primer on quantitative and mathematical concepts. Required for all incoming MSOR and MSIE students

Fall 2023: IEOR E4199
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4199 001/17188  
Michael Miller 0.00 211/200

IEOR E4205 STUDIES IN OPERATIONS RESEARCH. 3.00 points.

IEOR E4206 Intellectual Property for Engineers. 0.00 points.

Many of this century’s biggest business successes have emerged from science-based innovations: Google, next gen semiconductors, cancer therapeutics, DNA sequencing, CRISPR, advanced batteries, and more. For most of these, strong intellectual property is a critical part of the business’ success. This class will provide an overview of how intellectual property (primarily patents, but also trademarks and copyrights) is created, protected, and leveraged by successful startups and large companies alike. In addition to lectures and exercises, there will be many guest speakers from successful venture capital firms, startups, and industry. While legal principles will be addressed, the primary focus is on leveraging intellectual property to create competitive advantage

IEOR E4207 HUMAN FACTORS: PERFORMANCE. 3.00 points.

Lect: 3.

Prerequisites: Refer to course syllabus.
Required for undergraduate students majoring in IE. Sensory and cognitive (brain) processing considerations in the design, development, and operations of systems, products, and tools. User or operator limits and potential in sensing, perceiving decision making, movement coordination, memory, and motivation

Fall 2023: IEOR E4207
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4207 001/12331 M 4:10pm - 6:40pm
627 Seeley W. Mudd Building
Leon Gold 3.00 27/50

IEOR E4208 SEM IN HUMAN FACTORS DESIGN. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4207) or IEOR E4207: Human Factors: Performance or the instructor's permission.
An elective for undergraduate students majoring in IE. An in-depth exploration of the application potential of human factor principles for the design of products and processes. Applications to industrial products, tools, layouts, workplaces, and computer displays. Consideration to environmental factors, training and documentation. Term project

Spring 2024: IEOR E4208
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4208 001/11613 M 4:10pm - 6:40pm
627 Seeley W. Mudd Building
Leon Gold 3.00 30/50

IEOR E4210 SUPPLY CHAIN MANAGEMENT. 3.00 points.

IEOR E4211 APPLIED CONSULTING. 3.00 points.

Prerequisites: (IEOR E3658) and (IEOR E4307) or (IEOR E4150) or (STAT GU4001) and familiarity with R or SAS.

Basic and advanced techniques in commercial and government consulting. Case studies supported by lectures focused on collecting and analyzing skills, client/market data, client interview techniques, and application of quantitative and qualitative methodologies. Exposure to critical skills on workplan development, interview techniques, presentation deck preparation, costing, and application of analytic techniques to solve complex problems. 

IEOR E4212 Data Analytics & Machine Learning for OR. 3.00 points.

Surveys tools available in Python for getting (web scraping and APIs) and visualizing data (charts and maps). Introduction to analytics through machine learning (ML algorithms, model evaluation, text analytics, network algorithms, deep learning)

Fall 2023: IEOR E4212
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4212 001/12087 M W 2:40pm - 3:55pm
331 Uris Hall
Hardeep Johar 3.00 39/40

IEOR E4307 STATISTICS AND DATA ANALYSIS. 3.00 points.

Lect: 3.

Prerequisites: Probability, linear algebra.
Descriptive statistics, central limit theorem, parameter estimation, sufficient statistics, hypothesis testing, regression, logistic regression, goodness-of-fit tests, applications to operations research models

Fall 2023: IEOR E4307
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4307 001/12092 T Th 4:10pm - 5:25pm
310 Fayerweather
Fabrizio Lecci 3.00 67/90

IEOR E4311 Derivatives Marketing & Structuring. 1.50 point.

Points: 1.5 Prerequisites: IEOR E3402, IEOR E4000 or permission of instructor.

Prerequisites: see notes re: points
Covers topics in Accounting, relationships among different elements of financial statements, short- term and long-term financing alternatives, using swaps, cap, and floors to manage interest rate risk, hedging interest risk of corporate finance, using options as cheapeners, structured swaps, accounting treatment of derivatives, cash flow hedging, accrual accounting, hedging issuance of a bond using treasuries, hedging employee stock options, preferred shares and their use in corporate treasury, FX risk and FX translation, commodities hedging, operating lease vs capital lease, credit risk, and cred spread and funding. Note: restricted to IEOR MS students

IEOR E4312 Application of OR & AI Techniques in Marketing. 1.50 point.

1.5 Points Prerequisites: Working knowledge EXCEL and a high-level language such as Python, R, MATLAB, or VBA and an introductory courses in Probability and Statistics.

Prerequisites: see notes re: points
Covers working knowledge of quantitative methods and data mining techniques applied to marketing and customer relationship management. Topics include clustering methods, conjoint analysis and customer preferences, forecasting, market share, product life cycle, new product, nearest neighbor, discriminant analysis, decision tree, revenue management, price and advertising elasticity, resource allocation and return on investment (ROI), economic analysis of a network and its formation, and networked markets. Note: restricted to IEOR MS students

IEOR E4399 MSE Quantitative Bootcamp. 0.00 points.

Zero-credit course. Primer on quantitative and mathematical concepts. Required for all incoming MSOR and MSIE students

Fall 2023: IEOR E4399
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4399 001/17185  
Michael Miller 0.00 91/200

IEOR E4402 Corporate Finance, Accounting & Investment Banking. 3.00 points.

Interpret financial statements, build cash flow models, value projects, value companies, and make Corporate Finance decisions. Additional topics include: cost of capital, dividend policy, debt policy, impact of taxes, Shareholder/Debtholder agency costs, dual-class shares, using option pricing theory to analyze management behavior, investment banking activities, including equity underwriting, syndicated lending, venture capital, private equity investing and private equity secondaries. Application of theory in real-world situations: analyzing financial activities of companies such as General Electric, Google, Snapchat, Spotify, and Tesla

Fall 2023: IEOR E4402
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4402 001/12332 T 7:10pm - 9:40pm
301 Pupin Laboratories
Rodney Sunada-Wong 3.00 89/100
Spring 2024: IEOR E4402
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4402 001/11717 Th 4:10pm - 6:40pm
329 Pupin Laboratories
Rodney Sunada-Wong 3.00 38/100

IEOR E4403 QUANTITATIVE CORPORATE FINANCE. 3.00 points.

Lect: 3.

Prerequisites: Probability theory and linear programming.
Required for students in the Undergraduate Advanced Track. Key measures and analytical tools to assess the financial performance of a firm and perform the economic evaluation of industrial projects. Deterministic mathematical programming models for capital budgeting. Concepts in utility theory, game theory and real options analysis

Fall 2023: IEOR E4403
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4403 001/12333 F 10:10am - 12:40pm
833 Seeley W. Mudd Building
David DeRosa 3.00 13/75

IEOR E4404 SIMULATION. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3658) and (IEOR E4307) or (STAT GU4001) and computer programming.
Corequisites: IEOR E3106,IEOR E4106
Generation of random numbers from given distributions; variance reduction; statistical output analysis; introduction to simulation languages; application to financial, telecommunications, computer, and production systems. Graduate students must register for 3 points. Undergraduate students must register for 4 points. Note: Students who have taken IEOR E4703 Monte Carlo simulation may not register for this course for credit. Recitation section required

Fall 2023: IEOR E4404
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4404 001/12095 M W 4:10pm - 5:25pm
501 Schermerhorn Hall
Christopher Dolan 3.00 116/120
Spring 2024: IEOR E4404
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4404 001/11720 T Th 4:10pm - 5:25pm
501 Schermerhorn Hall
Christopher Dolan 3.00 103/150

IEOR E4405 PRODUCTION SCHEDULING. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3608) and (IEOR E3658) and computer programming.
Required for undergraduate students majoring in IE and OR. Job shop scheduling: parallel machines, machines in series; arbitrary job shops. Algorithms, complexity, and worst-case analysis. Effects of randomness: machine breakdowns, random processing time. Term project

Spring 2024: IEOR E4405
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4405 001/11606 M W 11:40am - 12:55pm
517 Hamilton Hall
Yuri Faenza 3.00 22/80

IEOR E4406 FAC LOC,ROUTING,NETWORK DESIGN. 3.00 points.

IEOR E4407 GAME THEOR MODELS OF OPERATION. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4004) or (IEOR E3608) and (IEOR E4106) or (IEOR E3106) and familiarity with differential equations and computer programming; or instructor's permission.
Required for undergraduate students majoring in OR:FE and OR. A mathematically rigorous study of game theory and auctions, and their application to operations management. Topics include introductory game theory, private value auction, revenue equivalence, mechanism design, optimal auction, multiple-unit auctions, combinatorial auctions, incentives, and supply chain coordination with contracts. No previous knowledge of game theory is required

IEOR E4408 RESOURCE ALLOCATION. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E3608) or (IEOR E4004) and basic knowledge of nonlinear and integer programming.
Overview of resource allocation models. Single resource allocation with concave returns; equitable resource allocation; lexicographic minmax/maxmin optimization; extensions to substitutable resources; multiperiod resource allocation; equitable allocation in multi-commodity network flow models; equitable content distribution in networks; equitable resource allocation with discrete decision variables

IEOR E4412 QUALITY CONTROL AND MANAGEMENT. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3658) and (STAT GU4001) Additional pre-requisite: working knowledge of statistics
Required for undergraduate students majoring in IE. Statistical methods for quality control and improvement: graphical methods, introduction to experimental design and reliability engineering and the relationships between quality and productivity. Contemporary methods used by manufacturing and service organizations in product and process design, production and delivery of products and services

IEOR E4418 TRANSPORTATION ANALYTICS & LOGISTICS. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3608 or IEOR E4404 or IEOR E4007 or CSOR W4231 or CSOR W4246) and (IEOR E3106 or IEOR E4307 or SIEO W3600 or IEOR E4100 or IEOR E4101 or IEOR E4150 or STAT GR5701 or STAT GR5703) or permission of instructor.
Transportation, primarily focused on the movement of people, and logistics, primarily focused on the movement of goods, are two of the most fundamental challenges to modern society. To address many problems in these areas, a wide array of mathematical models and analytics tools have been developed. This class will introduce many of the foundational tools used in transportation and logistics problems, relying on ideas from linear optimization, integer optimization, stochastic processes, statistics, and simulation. We will address problems such as optimizing the routes of cars and delivery trucks, positioning emergency vehicles, and controlling traffic behavior. Moreover, we will discuss modern issues such as bicycle sharing, on-demand car and delivery services, humanitarian logistics, and autonomous vehicles. Concepts will be reinforced with technical content as well as real-world data and examples

IEOR E4500 APPLICATIONS PROGRAMMNG FOR FE. 3.00 points.

Lect: 3.

Prerequisites: Computer programming or instructor's approval.
We will take a hands-on approach to developing computer applications for Financial Engineering. Special focus will be placed on high-performance numerical applications that interact with a graphical interface. In the course of developing such applications we will learn how to create DLLs, how to integrate VBA with C/C programs, and how to write multithreaded programs. Examples of problems settings that we consider include simulation of stock price evolution, tracking, evaluation and optimization of a stock portfolio; optimal trade execution. In the course of developing these applications, we review topics of interest to OR:FE in a holistic fashion

Fall 2023: IEOR E4500
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4500 001/12096 T Th 4:10pm - 5:25pm
329 Pupin Laboratories
Daniel Bienstock 3.00 81/100

IEOR E4501 TOOLS FOR ANALYTICS. 3.00 points.

MS IEOR students only. Introduction programming in Python, tools with the programmer's ecosystem. Python, Data Analysis tools in Python (NumPy, pandas, bokeh), GIT, Bash, SQL, VIM, Linux/Debia, SSH

Fall 2023: IEOR E4501
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4501 001/12334 M 7:10pm - 9:40pm
329 Pupin Laboratories
Lynn Root 3.00 98/100
Spring 2024: IEOR E4501
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4501 001/11722 M 7:10pm - 9:40pm
313 Fayerweather
Lynn Root 3.00 15/75

IEOR E4502 Python for Analytics. 0.00 points.

Zero-credit course. Primer on Python for analytics concepts. Required for MSBA students

Fall 2023: IEOR E4502
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4502 001/17180  
Paul Bulkley-Logston, Abhishank Khadka 0.00 191/600

IEOR E4505 OPERATION RES IN PUBLIC POLICY. 3.00 points.

Prerequisites: (IEOR E3608) or (IEOR E4004) and (IEOR E3106) or (IEOR E4106)
Aims to give the student a broad overview of the role of Operations Research in public policy. The specific areas covered include voting theory, apportionment, deployment of emergency units, location of hazardous facilities, health care, organ allocation, management of natural resources, energy policy, and aviation security. Draws on a variety techniques such as linear and integer programming, statistical and probabilistic methods, decision analysis, risk analysis, and analysis and control of dynamic systems

Spring 2024: IEOR E4505
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4505 001/15102 M W 1:10pm - 2:25pm
501 Northwest Corner
Yaren Kaya 3.00 36/80

IEOR E4506 DESIGN DIGITAL OPERATING MODELS. 3.00 points.

IEOR students only. Understand digital businesses, apply scientific, engineering thinking to digital economy. Data-driven digital strategies and operating models. Sectors: ecommerce, advertising technology, and marketing technology. Automation of the marketing, sales, and advertising functions. Algorithms, patents, and business models. Business side of the digital ecosytem and the digital economy

Fall 2023: IEOR E4506
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4506 001/12696 M 7:10pm - 9:40pm
633 Seeley W. Mudd Building
Anthony Effik 3.00 68/70

IEOR E4507 HEALTHCARE OPERATIONS MGT. 3.00 points.

Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E3608) and (IEOR E3658) and (IEOR E4307)
Prerequisite(s): for senior undergraduate Engineering students: IEOR E3608, E3658, and E4307; for Engineering graduate students (M.S. or Ph.D.): Probability and statistics at the level of IEOR E4150, and deterministic models at the level of IEOR E4004; for healthcare management students: P8529 Analytical methods for health services management. Develops modeling, analytical, and managerial skills of engineering and health care management students. Enables students to master an array of fundamental operations management tools adapted to the management of health care systems. Through real-world business cases, students learn to identify, model, and analyze operational improvements and innovations in a range of health care contexts

Spring 2024: IEOR E4507
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4507 001/11612 M 7:10pm - 9:40pm
501 Northwest Corner
Amit Arora 3.00 36/100

IEOR E4510 PROJECT MANAGEMENT. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4004) or (IEOR E3608)
Management of complex projects and the tools that are available to assist managers with such projects. Topics include project selection, project teams and organizational issues, project monitoring and control, project risk management, project resource management, and managing multiple projects

Spring 2024: IEOR E4510
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4510 001/11607 W 7:10pm - 9:40pm
614 Schermerhorn Hall
Moshe Rosenwein 3.00 51/120

IEOR E4511 Industry Projects in Analytics & Operations Research. 3.00 points.

Teams of students work on real-world projects in analytics. Focus on three aspects of analytics: identifying client analytical requirements; assembling, cleaning and organizing data; identifying and implementing analytical techniques (e.g., statistics and/or machine learning); and delivering results in a client-friendly format. Each project has a defined goal and pre-identified data to analyze in one semester. Client facing class. Class requires 10 hours of time per week and possible client visits on Fridays

Fall 2023: IEOR E4511
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4511 001/12337 M 9:00am - 11:30am
303 Seeley W. Mudd Building
Michael Robbins 3.00 124/150
Spring 2024: IEOR E4511
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4511 001/11608 M 9:00am - 11:30am
633 Seeley W. Mudd Building
Michael Robbins 3.00 55/150

IEOR E4520 APPLIED SYSTEMS ENGINEERING. 3.00 points.

Lect: 3.

Prerequisites: B.S. in Engineering or Applied Sciences; Professional experience recommended; Calculus, Probability and Statistics, Linear Algebra.
Introduction to fundamental methods used in systems engineering. Rigorous process that translates customer needs into a structured set of specific requirements; synthesizes a system architecture that satisfies those requirements and allocates them in a physical system, meeting cost, schedule, and performance objectives throughout the product life-cycle. Sophisticated modeling of requirements optimization and dependencies, risk management, probabilistic scenario scheduling, verification matrices, and systems-of-systems constructs are synthesized to define the meta-workflow at the top of every major engineering project

IEOR E4521 SYSTEM ENGI TOOLS/METHODS. 3.00 points.

Applications of SE tools and methods in various settings. Encompasses modern complex system development environments, including aerospace and defense, transportation, energy, communications, and modern software-intensive systems

IEOR E4522 PYTHON FOR OPERATIONS RESEARCH. 1.50 point.

Lect: 1.5.Not offered during 2023-2024 academic year.

IEOR Students Only; Priority to MSOR Students. Introduction to programming in Python, providing a working knowledge of how to use Python to extract knowledge and information from data. Overview of Python libraries for data analysis. Fundamental course for MSOR students in order to engage in higher level analytics courses.

IEOR E4523 DATA ANALYTICS. 3.00 points.

Lect: 3.

Corequisites: IEOR E4501
IEOR students only; priority to MSBA students. Survey tools available in Python for getting, cleaning, and analyzing data. Obtain data from files (csv, html, json, xml) and databases (Mysql, PostgreSQL, NoSQL), cover the rudiments of data cleaning, and examine data analysis, machine learning, and data visualization packages (NumPy, pandas, Scikit-lern, bokeh) available in Python. Brief overview of natural language processing, network analysis, and big data tools available in Python. Contains a group project component that will require students to gather, store, and analyze a data set of their choosing

Fall 2023: IEOR E4523
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4523 001/12425 T Th 10:10am - 11:25am
209 Havemeyer Hall
Uday Menon 3.00 85/80
IEOR 4523 002/12426 T Th 1:10pm - 2:25pm
326 Uris Hall
Uday Menon 3.00 66/69
IEOR 4523 003/12428 T Th 4:10pm - 5:25pm
312 Mathematics Building
Uday Menon 3.00 69/80
Spring 2024: IEOR E4523
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4523 001/11771 T Th 5:40pm - 6:55pm
833 Seeley W. Mudd Building
Uday Menon 3.00 32/80

IEOR E4524 ANALYTICS IN PRACTICE. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4523) and IEOR E4501
MSBA students only. Groups of students will work on real world projects in analytics, focusing on three aspects: identifying client analytical requirements; assembling, cleaning, and organizing data; identifying and implementing analytical techniques (statistics, OR, machine learning); and delivering results in a client-friendly format. Each project has a well-defined goal, comes with sources of data preidentified, and has been structured so that it can be completed in one semester. Client-facing class with numerous on-site client visits; students should keep Fridays clear for this purpose

Spring 2024: IEOR E4524
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4524 001/11824 Th 7:10pm - 9:40pm
301 Pupin Laboratories
Uday Menon, Yaren Kaya 3.00 178/200

IEOR E4525 MACHINE LEARNING FE & OPR. 3.00 points.

Prerequisites: optimization, applied probability, statistics or simulation.
MS IEOR students only. Introduction to machine learning, practical use of ML algorithms and applications to financial engineering and operations. Supervised learning: regression, classification, resampling methods, regularization, support vector machines (SVMs), and deep learning. Unsupervised learning: dimensionality reduction, matrix decomposition, and clustering algorithms

Fall 2023: IEOR E4525
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4525 001/12340 T Th 8:40am - 9:55am
614 Schermerhorn Hall
Anish Agarwal 3.00 43/120
Spring 2024: IEOR E4525
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4525 001/11774 F 10:10am - 12:40pm
833 Seeley W. Mudd Building
Christian Kroer 3.00 54/120

IEOR E4526 ANALYTICS ON THE CLOUD. 3.00 points.

Prerequisites: IEOR E4501 and IEOR E4523
To introduce students to programming issues around working with clouds for data analytics. Class will learn how to work with infrastructure of cloud platforms, and discussion about distributed computing, focus of course is on programming. Topics covered include MapReduce, parallelism, rewriting of algorithms (statistical, OR, and machine learning) for the cloud, and basics of porting applications so that they run on the cloud

Fall 2023: IEOR E4526
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4526 001/12342 W 8:40am - 11:10am
303 Seeley W. Mudd Building
Hardeep Johar 3.00 63/65

IEOR E4530 TOPICS IN OPERATIONS RESEARCH. 3.00 points.

This course focuses on core statistical techniques that are necessary to excel in a career in data science or business analytics. We start the course with a deeper dive into the theory of statistical inference, and introduce the Bayesian approach, which is common in industry. Next we introduce a common suite of testing methods, with a special emphasis on the general linear model. We conclude the course with several advanced topics that are highly useful in industry. Emphasis will be placed on applications and examples from industry

Fall 2023: IEOR E4530
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4530 001/12349 M W 1:10pm - 2:25pm
303 Seeley W. Mudd Building
Christian Kroer 3.00 53/73

IEOR E4532 Visualization and Storytelling with Data. 1.50 point.

Data visualization and how to build a story with data. Using complex data or statistics to communicate results effectively. Learn to present analysis and results conscisely and effectively

Fall 2023: IEOR E4532
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4532 001/12505 F Sa S 9:00am - 5:00pm
633 Seeley W. Mudd Building
Michelle Glaser 1.50 57/60

IEOR E4533 Performance, Objectives, & Results Using Data Analytics. 1.50 point.

OKR framework and different variations. Measurement techniques (A/B testing, validation, correlation, etc.) Identifying what to measure in product experience and business initiatives. Data-driven decision making

Fall 2023: IEOR E4533
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4533 001/12527 F Sa S 9:00am - 5:00pm
633 Seeley W. Mudd Building
Nicolas Chikhani 1.50 55/60
Spring 2024: IEOR E4533
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4533 001/11827 F Sa S 9:00am - 5:00pm
633 Seeley W. Mudd Building
Nicolas Chikhani 1.50 39/60

IEOR E4540 DATA MINING. 3.00 points.

Course covers major statistical learning methods for data mining under both supervised and unsupervised settings. Topics covered include linear regression and classification, model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. Students learn about principles underlying each method, how to determine which methods are most suited to applied settings, concepts behind model fitting and parameter tuning, and how to apply methods in practice and assess their performance. Emphasizes roles of statistical modeling and optimization in data mining

Fall 2023: IEOR E4540
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4540 001/12343 W 7:10pm - 9:40pm
303 Seeley W. Mudd Building
Krzysztof Choromanski 3.00 58/73
Spring 2024: IEOR E4540
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4540 001/11777 W 7:10pm - 9:40pm
633 Seeley W. Mudd Building
Krzysztof Choromanski 3.00 42/60

IEOR E4544 Statistical Methods for Analytics. 3.00 points.

Focus on advanced statistical techniques for a career in data science or business analytics. Covers the use of writing probabilistic models for data-generating processes, using Bayesian Methods/MCMC to solve such problems. Emphasizes problem identification and general problem-solving tools. Special Topics: Survival Analysis, Missing Data, Robust Statistics, Sequential Analysis, Multiple Testing. Assignments are case-based

Spring 2024: IEOR E4544
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4544 001/11773 T Th 1:10pm - 2:25pm
627 Seeley W. Mudd Building
Christopher Dolan 3.00 14/50

IEOR E4545 Causal Analysis for Data Analytics and OR. 3.00 points.

Survey of different approaches to causal inference with an emphasis on applications. Counterfactuals, Causal Structural Models and Graphical Models. G-formula, IP weighting, and g-estimation. Backdoor and Frontdoor adjustment, introduction to the do-calculus. Regression discontinuity, Instrumental Variables, Difference-in-Difference, Synthetic Control. Advanced Topics: Causal Survival Analysis, Time-Varying Treatments, Competing Events. Emphasis on problem-solving and working with data

IEOR E4550 ENTREPRENEURIAL BUS CREA-ENGIN. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E2261)
Required for undergraduate students majoring in OR:EMS. Introduces the basic concepts and methodologies that are used by the nonengineering part of the world in creating, funding, investing in, relating to, and operating entrepreneurial ventures. The first half of the course focuses on the underpinning principles and skills required in recognizing, analyzing, evaluating, and nurturing a business idea. The second half focuses on basic legal knowledge necessary in creating a business entity, defending your business assets, and in promoting effective interaction with other individuals and organizations

IEOR E4555 DESIGN/AGILE PROJ MGMT ENG LAB. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Intensive, team-, and project-based seminar covering multidisciplinary approach to evidence-based product design; agile project planning and execution; rapid MVP prototyping; and launch strategy formulation and implementation. Focuses on practical use of design thinking, design studio, and iterative design sprint methodologies. Systematic approaches to Lean User Research, User Experience (UX), and User Interface (UI) design and deployment are integral components of course curriculum. Mix of startup and enterprise projects, including application drive, data-driven, or combination of both. Teams are fully supported in devising prototypes and actualizing proposed solutions

IEOR E4560 THE LEAN LAUNCH PAD. 3.00 points.

IEOR E4561 LAUNCH YOUR STARTUP: TECH. 3.00 points.

Tools and knowledge to develop a comprehensive new venture that is scalable, repeatable, and capital efficient. Covers customer discovery, market sizing, pricing, competition, distribution, funding, developing a minimal viable product, and other facets of creating new ventures. A company blueprint and final investor pitch are deliverables

IEOR E4562 Innovate Using Design Thinking. 3.00 points.

How Design Thinking can enhance innovation activities, market impact, value creation, and speed. Topics include: conceptual and practical understanding of design thinking, creative solutions, develop robust practices to lead interdisciplinary teams. Course aims to strengthen individuals and collaborative capabilities to identify customer needs, indirect and qualitative research, create concept hypotheses, develop prototype, defined opportunities into actionable innovation possibilities, and recommendations for client organizations

IEOR E4563 Technology Breakthroughs. 1.50 point.

Technological breakthroughs driven change, disruption, and transformation of the business landscape/society. Course covers overview of deep learning and neural networks; AI and robotics; imaging and vision; photonics; blockchain; smart/digital cities; and the application of these technologies for creating new products and services

Fall 2023: IEOR E4563
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4563 001/18692 M 2:20pm - 5:35pm
520 Geffen Hall
Shih-Fu Chang, Constantinos Maglaras 1.50 6/20

IEOR E4570 TOPICS IN OPERATIONS RESEARCH. 1.50 point.

1.5 points

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Fall 2023: IEOR E4570
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4570 001/15261 F 9:00am - 5:00pm
303 Uris Hall
David Lerner 1.50 39/60

IEOR E4571 TOPICS IN OPERATIONS RESEARCH. 3.00 points.

We introduce various queueing models, including queueing networks, some classic and some new, with applications to a variety of industries such as telecommunications, computer science, inventory systems, health care, and insurance risk, among others. The basic mathematical tools for analyzing the models and solving for quantities of interest involve stochastic processes such as Markov chains, but also other tools from operations research such as optimization and stochastic simulation. This course is aimed at MS and undergraduate students who have already had a basic course in stochastic modeling such as IEOR 3106/4106

Fall 2023: IEOR E4571
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4571 001/12891 Th 1:10pm - 3:40pm
420 Pupin Laboratories
Khosrow Dehnad 3.00 21/70

IEOR E4572 TOPICS IN OPERATIONS RESEARCH. 3.00 points.

Lect: 3.,Points: 1.5

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Spring 2024: IEOR E4572
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4572 001/11772 T Th 2:40pm - 3:55pm
633 Seeley W. Mudd Building
Uday Menon 3.00 8/70

IEOR E4573 TOPICS IN OR. 3.00 points.

Points: 1.5

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

IEOR E4574 TOPICS IN OR. 3.00 points.

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Fall 2023: IEOR E4574
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4574 001/15259 T 7:00pm - 9:30pm
330 Uris Hall
Syed Haider, Robert Kramer 3.00 12/60
Spring 2024: IEOR E4574
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4574 001/15103 M W 11:40am - 12:55pm
428 Pupin Laboratories
Fabrizio Lecci 3.00 57/70

IEOR E4575 TOPICS IN OPERATIONS RESEARCH. 3.00 points.

Note to students: 1.5 credits Note to students re: pre-requisites: Probability and statistics, Basic optimization (e.g., familiarity with linear and convex optimization, gradient descent, basic algorithm design constructs), familiarity with Programming in python (or experience with programming in other languages like C/C++/Matlab and willingness to learn python). Knowledge of machine learning is not required, but some basic familiarity may help.

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

IEOR E4576 TOPICS IN OPERATIONS RESEARCH. 3.00 points.

1.5 pts

This course provides students with a strategic perspective and practical tools for using data to add value when answering research questions. Students will use financial and alternative data and participate in an internal real-time forecasting competition. The course emphasizes a project-based, hands-on approach to thoroughly understanding the methodologies and techniques underlying scientific, data-driven, quantitative finance

Fall 2023: IEOR E4576
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4576 001/14157 M 7:10pm - 9:40pm
140 Uris Hall
Naftali Cohen 3.00 48/50

IEOR E4577 TOPICS IN OPERATIONS RESEARCH. 1.50 point.

Points: 1.5

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Fall 2023: IEOR E4577
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4577 001/12489 T 4:10pm - 6:40pm
633 Seeley W. Mudd Building
Amit Arora 1.50 51/55

IEOR E4578 TOPICS IN OPERATION RESEARCH. 3.00 points.

Prerequisites: Must be registered in one of the MS IEOR Programs
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Fall 2023: IEOR E4578
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4578 001/12551 T 6:00pm - 8:30pm
141 Uris Hall
Owen Davis, Cindy Borgen 3.00 30/60
Spring 2024: IEOR E4578
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4578 001/12910 T 7:00pm - 9:30pm
633 Seeley W. Mudd Building
Syed Haider, Robert Kramer 3.00 61/70

IEOR E4579 TOPICS IN OR. 1.50-3.00 points.

Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit

Fall 2023: IEOR E4579
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4579 001/18425  
Kenneth Goodman 1.50-3.00 28/60
Spring 2024: IEOR E4579
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4579 001/11610 T 6:00pm - 8:30pm
501 Northwest Corner
Gary Kazantsev 1.50-3.00 70/100

IEOR E4599 MSBA Quantitative Bootcamp. 0.00 points.

Primer on quantitative and mathematical concepts. Required for all incoming MSBA students

Fall 2023: IEOR E4599
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4599 001/17190  
Michael Miller 0.00 191/200

IEOR E4600 APPLIED INTEGER PROGRAMMING. 3.00 points.

Lect: 3.

Prerequisites: Linear programming, linear algebra, and computer programming.

This course is required for undergraduate students majoring in OR. This course covers applications of mathematical programming techniques, especially integer programming, with emphasis on software implementation. This course also covers topics of modeling and solution of problems in supply chain, logistics, routing. Particular emphasis is placed on optimization modeling systems, such as AMPL and OPL and state-of-the-art solvers.

IEOR E4601 DYNAMIC PRICING/REVENUE MGMT. 3.00 points.

Lect: 3.

Prerequisites: (STAT GU4001) and (IEOR E4004)
Focus on capacity allocation, dynamic pricing and revenue management. Perishable and/or limited product and pricing implications. Applications to various industries including service, airlines, hotel, resource rentals, etc

IEOR E4602 QUANTITATIVE RISK MANAGEMENT. 3.00 points.

Lect: 3.

Prerequisites: (STAT GU4001) and (IEOR E4106)
Risk management models and tools; measure risk using statistical and stochastic methods, hedging and diversification. Examples include insurance risk, financial risk, and operational risk. Topics covered include VaR, estimating rare events, extreme value analysis, time series estimation of extremal events; axioms of risk measures, hedging using financial options, credit risk modeling, and various insurance risk models

Fall 2023: IEOR E4602
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4602 001/12356 M W 11:40am - 12:55pm
750 Schapiro Cepser
Agostino Capponi 3.00 34/50

IEOR E4611 DECISION MODELS AND APPLIC. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E3608) and (IEOR E4004) or (IEOR E3658) and (IEOR E4307) and (STAT GU4001) or the equivalent. For graduate students: instructor's permission is required.
Corequisites: IEOR E4404

Students are introduced to deterministic and stochastic decision tools used by leading corporations and applied researchers, and apply these software packages to complex, real-world problems in engineering and finance. Building on a basic theoretical understanding of optimization, simulation and game theory obtained in prerequisite classes, students master commercial decision modeling programs such as Premium Solver Professional (linear, integer and non-linear optimization), TreePlan (decision-trees), Crystal Ball (simulation), and OptQuest (optimization under uncertainty). Students are also welcome to complete most modeling assignments with Matlab. After students have mastered the course software, its limitations and the frameworks for applying it, they work in small teams to address (as a mid-term project) one large-scale deterministic project and (as an end-of-semester project) one similarly-complex stochastic problem. While addressing their first projects, students learn effective presentation and project reporting skills, suitable for communicating with CFOs and CEOs. Students present their project analyses to a small panel of industry experts and executives. Throughout the course, the importance of outside-the-model considerations, model limitations and sources of modeling error are stressed, and general frameworks for approaching particular problem types are developed.

IEOR E4615 SERVICE ENGINEERING. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: (SIEO W3600) and (IEOR E3106) or (IEOR E4106) or equivalent.
Focus on service systems viewed as stochastic networks, exploiting the theoretical framework of queueing theory. Includes multidisciplinary perspectives involving Statistics, Psychology, and Marketing. Significant emphasis on data analysis, exploiting data from banks, hospitals, and call centers to demonstrate the use of decision support tools. Analytical models, flow models of service networks, Little’s law, measuring methods in face-to-face and computerized systems, forecasting methods, stability of service systems, operational quality of service, economies of scale, staffing, complex service networks, skill-based routing

IEOR E4620 PRICING MODELS FOR FIN ENGIN. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4700)
Required for undergraduate students majoring in OR:FE. Characteristics of commodities or credit derivatives. Case study and pricing of structures and products. Topics covered include swaps, credit derivatives, single tranche CDO, hedging, convertible arbitrage, FX, leverage leases, debt markets, and commodities

Fall 2023: IEOR E4620
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4620 001/12097 T 7:10pm - 9:40pm
633 Seeley W. Mudd Building
Michael Miller 3.00 37/70

IEOR E4630 ASSET ALLOCATION. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4700)
Models for pricing and hedging equity, fixed-income, credit-derivative securities, standard tools for hedging and risk management, models and theoretical foundations for pricing equity options (standard European, American equity options, Asian options), standard Black-Scholes model (with multiasset extension), asset allocation, portfolio optimization, investments over longtime horizons, and pricing of fixed-income derivatives (Ho-Lee, Black-Derman-Toy, Heath-Jarrow-Morton interest rate model)

Spring 2024: IEOR E4630
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4630 001/11714 T Th 4:10pm - 5:25pm
301 Pupin Laboratories
3.00 104/130

IEOR E4650 BUSINESS ANALYTICS. 3.00 points.

Prepares students to gather, describe, and analyze data, using advanced statistical tools to support operations, risk management, and response to disruptions. Analysis is done by targeting economic and financial decisions in complex systems that involve multiple partners. Topics include probability, statistics, hypothesis testing, experimentation, and forecasting

Fall 2023: IEOR E4650
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4650 001/12361 W 10:10am - 12:55pm
590 Geffen Hall
Charles Guetta 3.00 146/150
IEOR 4650 002/12412 W 5:40pm - 8:25pm
590 Geffen Hall
Charles Guetta 3.00 138/150
Spring 2024: IEOR E4650
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4650 001/11673 M W 5:40pm - 6:55pm
303 Seeley W. Mudd Building
Yi Zhang 3.00 36/73
IEOR 4650 002/11611 M W 7:10pm - 8:25pm
303 Seeley W. Mudd Building
Yi Zhang 3.00 26/73

IEOR E4651 DATA MINING. 3.00 points.

IEOR E4700 INTRO TO FINANCIAL ENGINEERING. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E3106) or (IEOR E4106)
Prerequisite(s): IEOR E4106 or E3106. Required for undergraduate students majoring in OR:FE. Introduction to investment and financial instruments via portfolio theory and derivative securities, using basic operations research/engineering methodology. Portfolio theory, arbitrage; Markowitz model, market equilibrium, and the capital asset pricing model. General models for asset price fluctuations in discrete and continuous time. Elementary introduction to Brownian motion and geometric Brownian motion. Option theory; Black-Scholes equation and call option formula. Computational methods such as Monte Carlo simulation

Fall 2023: IEOR E4700
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4700 001/12364 M W 1:10pm - 2:25pm
209 Havemeyer Hall
Wenpin Tang 3.00 41/100
Spring 2024: IEOR E4700
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4700 001/11623 T Th 11:40am - 12:55pm
209 Havemeyer Hall
Xunyu Zhou 3.00 97/105

IEOR E4701 STOCHASTIC MODELS FOR FIN ENG. 3.00 points.

Lect: 3.

Prerequisites: (STAT GU4001)
This graduate course is only for M.S. Program in Financial Engineering students, offered during the summer session. Review of elements of probability theory, Poisson processes, exponential distribution, renewal theory, Wald’s equation. Introduction to discrete-time Markov chains and applications to queueing theory, inventory models, branching processes

Fall 2023: IEOR E4701
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4701 001/12098 T Th 11:40am - 12:55pm
301 Pupin Laboratories
Daniel Lacker 3.00 105/120

IEOR E4703 MONTE CARLO SIMULATION METHODS. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4701)
This graduate course is only for M.S. Program in Financial Engineering students. Multivariate random number generation, bootstrapping, Monte Carlo simulation, efficiency improvement techniques. Simulation output analysis, Markov-chain Monte Carlo. Applications to financial engineering. Introduction to financial engineering simulation software and exposure to modeling with real financial data. Note: Students who have taken IEOR E4404 Simulation may not register for this course for credit

Spring 2024: IEOR E4703
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4703 001/11632 T Th 8:40am - 9:55am
833 Seeley W. Mudd Building
Ali Hirsa 3.00 97/120

IEOR E4705 STUDIES IN OPERATION RESEARCH. 3.00 points.

IEOR E4706 FOUNDATIONS FR FINANCIAL ENGIN. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4701) and (IEOR E4702) and linear algebra.
This graduate course is only for M.S. Program in Financial Engineering students, offered during the summer session. Discrete-time models of equity, bond, credit, and foreign-exchange markets. Introduction to derivative markets. Pricing and hedging of derivative securities. Complete and incomplete markets. Introduction to portfolio optimization and the capital asset pricing model

Fall 2023: IEOR E4706
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4706 001/12099 M W 8:40am - 9:55am
833 Seeley W. Mudd Building
Wenpin Tang 3.00 107/120

IEOR E4707 FE CONTINUOUS TIME MODELS. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4701)
This graduate course is only for MS program in FE students. Modeling, analysis, and computation of derivative securities. Applications of stochastic calculus and stochastic differential equations. Numerical techniques: finite-difference, binomial method, and Monte Carlo

Spring 2024: IEOR E4707
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4707 001/11636 T Th 2:40pm - 3:55pm
833 Seeley W. Mudd Building
Xunyu Zhou 3.00 100/120

IEOR E4708 SEM-OLD & NEW IDEAS-QUANT FIN. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4703) and (IEOR E4706) and IEOR E4703, E4706, probability and statistics.
Selected topics of special interest to M.S. students in financial engineering. If topics are different then this course can be taken more than once for credit

IEOR E4709 STATISTICAL ANALYSIS AND TIME SERIES. 3.00 points.

Lect: 3.

Prerequisites: Probability.
Corequisites: IEOR E4706,IEOR E4702
This graduate course is only for M.S. Program in Financial Engineering students. Empirical analysis of asset prices: heavy tails, test of the predictability of stock returns. Financial time series: ARMA, stochastic volatility, and GARCH models. Regression models: linear regression and test of CAPM, non-linear regression and fitting of term structures

Spring 2024: IEOR E4709
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4709 001/11648 M W 10:10am - 11:25am
833 Seeley W. Mudd Building
Agostino Capponi 3.00 96/120

IEOR E4710 TERM STRUCTURE MODELING. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E4706) and (IEOR E4707) and computer programming.
Interest rate models and numerical techniques for pricing and hedging interest rate contracts and fixed income securities

IEOR E4711 GLOBAL CAPITAL MARKETS. 3.00 points.

Prerequisites: Refer to course syllabus.
An introduction to capital markets and investments providing an overview of financial markets and tools for asset valuation. Topics covered include the pricing of fixed-income securities (treasury markets, interest rate swaps futures, etc.), discussions on topics in credit, foreign exchange, sovereign ad securitized markets—private equity and hedge funds, etc

Fall 2023: IEOR E4711
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4711 001/12368 M 6:00pm - 8:30pm
313 Fayerweather
Siddhartha Ghosh Dastidar 3.00 65/70

IEOR E4712 BEHAVIORAL FINANCE. 1.50 point.

Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E4700)
Behavioral finance is the application of behavioral psychology to financial decision making. Focuses on the portfolio aspect of behavioral finance and briefly touches on other aspects. Compared with classical theory of portfolio choice, behavioral portfolio choice features human being’s psychological biases. It builds both on behavioral preference structures different from mean variance theory and expected utility theory and on systematic biases against rational beliefs such as Bayesian rule

IEOR E4714 RISK MGMT,FIN SYSTM,FIN CRISIS. 1.50 point.

Risk-taking and risk management are at the heart of the financial system, and of the current financial crisis. An introduction to risk management both from an individual financial firm’s and from a public policy viewpoint. Overview of the con- temporary financial system, focusing on innovations of the past few decades that have changed how financial risk is generated and distributed among market participants, such as the growth of non-bank financial intermediaries, the increased prevalence of leverage and liquidity risk, and the development of structured credit products. Introduction to the basic quantitative tools used in market, credit, and liquidity risk management. The two strands of the course are brought together to help understand how the financial crisis arose and is playing out, examining the mechanics of runs and the behavior of asset prices during crises. Attempt to understand the emergency programs deployed by central bankers and other policy makers to address crises historically and today

IEOR E4715 COMMODITY DERIVATIVES. 1.50 point.

Commodities markets have been much in the public eye recently as volatility has increased and they changed from markets dominated by physical participants to ones which have a significant investor component. The largest banks either already have profitable commodities franchises or are actively building them, and money managers and funds are increasingly including these assets in their portfolio mix. The end result is a dramatic increase in focus on these markets from all aspects of the financial markets, including the quantitative end

IEOR E4718 INTRO-IMPLIED VOLATILITY SMILE. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4706) and knowledge of derivatives valuation models.
During the past 15 years the behavior of market options prices have shown systematic deviations from the classic Black-Scholes model. Examines the empirical behavior of implied volatilities, in particular the volatility smile that now characterizes most markets, the mathematics and intuition behind new models that can account for the smile, and their consequences for hedging and valuation

Spring 2024: IEOR E4718
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4718 001/11658 T 7:10pm - 9:40pm
313 Fayerweather
Amal Moussa 3.00 51/75

IEOR E4720 TOPICS IN QUANT FINANCE. 3.00 points.

Prerequisites: (IEOR E4700) and additional prerequisites will be announced depending on offering.
Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

Fall 2023: IEOR E4720
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4720 001/12372 T Th 2:40pm - 3:55pm
310 Fayerweather
Fabrizio Lecci 3.00 70/70
Spring 2024: IEOR E4720
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4720 001/11609 M W 1:10pm - 2:25pm
633 Seeley W. Mudd Building
Fabrizio Lecci 3.00 70/70

IEOR E4721 TOPICS IN QUANT FINANCE. 3.00 points.

Prerequisites: IEOR E4700: Introduction to Financial Engineering, additional pre-requisites will be announced depending on offering.
Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

Spring 2024: IEOR E4721
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4721 001/11766  
Ali Hirsa 3.00 68/70

IEOR E4722 TOPICS IN QUANT FINANCE. 3.00 points.

Prerequisites: IEOR E4707 Refer to course syllabus.
Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

IEOR E4723 TOPICS IN QUANTATIVE FINANCE. 1.50 point.

Course Points: 1.5

Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

Fall 2023: IEOR E4723
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4723 001/12484 T 7:10pm - 9:40pm
644 Seeley W. Mudd Building
Cyril Shmatov 1.50 29/44

IEOR E4724 TOPICS IN QUANTATIVE FINANCE. 3.00 points.

In this course, we will cover the basics of mathematical modeling of interest rates and credit derivatives. In the first part, we will cover basic interest rate derivatives, the Heath-Jarrow-Morton (HJM) framework, classic short rate models (for both interest rates and default intensities), and the numerical techniques used in practice for their calibration. In the second part, we will cover the basics of single-name derivatives modeling, and we will discuss pricing simple credit derivatives. We will also discuss correlation products and the most common techniques used for their pricing. In the third part, we will discuss some recent research papers addressing the use of adjoint algorithmic differentiation for the calculation of risk for interest rate and credit derivatives

Fall 2023: IEOR E4724
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4724 001/12375 W 6:00pm - 8:30pm
750 Schapiro Cepser
Luca Capriotti 3.00 22/50

IEOR E4725 Topics in Quantitative Finance: Numerical Solutions of Partial Differential Equation. 3 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: (IEOR E4706) and (IEOR E4707) IEOR E4706 and IEOR E4707.

Networks are ubiquitous in our modern society. Economic and social networks have been used extensively to model a variety of situations, in which individual decision-makers are affected by the choices of their peers in the network. This course will introduce the main mathematical models for the study of these networks. It will discuss game theoretical and dynamic optimization techniques, which can be used to analyze a wide variety of these networks, including their resilience to shocks, the diffusion of information leading to social contagion, and how the strategic behavior of agents shapes the performance of the network

IEOR E4726 TOPICS IN QUANTATIVE FINANCE. 3.00 points.

Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

IEOR E4727 TOPICS IN QUANTATIVE FINANCE. 3.00 points.

Prerequisites: Refer to course syllabus.
Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

IEOR E4728 TOPICS IN QUANTITATIVE FINANCE. 1.50 point.

Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets. Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

Fall 2023: IEOR E4728
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4728 001/12485 Th 4:10pm - 6:40pm
303 Seeley W. Mudd Building
Khosrow Dehnad 1.50 55/60

IEOR E4729 TOPICS IN QUANTATIVE FINANCE. 1.50 point.

NOTE: If you have previously completed IEOR 4733 Algorithmic Trading or IEOR 4729 Model Based Trading, please note that while this version of 4729 has many new elements, it materially overlaps with these two classes and is intended to replace both.

Selected topics of interest in the area of quantitative finance. Offerings vary each year; some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets

IEOR E4731 CREDIT RISK/CREDIT DERIVATIVES. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4701) and (IEOR E4707)
Introduction to quantitative modeling of credit risk, with a focus on the pricing of credit derivatives. Focus on the pricing of single-name credit derivatives (credit default swaps) and collateralized debt obligations (CDOs). Detail topics include default and credit risk, multiname default barrier models and multiname reduced form models

Fall 2023: IEOR E4731
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4731 001/12378 M W 10:10am - 11:25am
524 Seeley W. Mudd Building
Agostino Capponi 3.00 12/50

IEOR E4732 COMPUT METHODS IN FINANCE. 3.00 points.

Prerequisites: (IEOR E4700)
MS IEOR students only. Application of various computational methods/techniques in quantitative/computational finance. Transform techniques: fast Fourier transform for data de-noising and pricing, finite difference methods for partial differential equations (PDE), partial integro-differential equations (PIDE), Monte-Carlo simulation techniques in finance, and calibration techniques, filtering and parameter estimation techniques. Computational platform will be C /Java/Python/Matlab/R

Spring 2024: IEOR E4732
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4732 001/11764 Th 7:10pm - 9:40pm
415 Schapiro Cepser
Alireza Javaheri 3.00 6/40

IEOR E4733 ALGORITHMIC TRADING. 3.00 points.

Prerequisites: IEOR E4700
Prerequisite(s): IEOR E4700. Large and amorphous collection of subjects ranging from the study of market microstructure, to the analysis of optimal trading strategies, to the development of computerized, high-frequency trading strategies. Analysis of these subjects, the scientific and practical issues they involve, and the extensive body of academic literature they have spawned. Attempt to understand and uncover the economic and financial mechanisms that drive and ultimately relate them

Spring 2024: IEOR E4733
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4733 001/11765 W 7:10pm - 9:40pm
833 Seeley W. Mudd Building
Sebastien Donadio 3.00 98/90

IEOR E4734 FOR EXCH/RELATD DERIVATVS INST. 1.50 point.

1.5.

Prerequisites: (IEOR E4700)
Foreign exchange market and its related derivative instruments—the latter being forward contracts, futures, options, and exotic options. What is unusual about foreign exchange is that although it can rightfully claim to be the largest of all financial markets, it remains an area where very few have any meaningful experience. Virtually everyone has traded stocks, bonds, and mutual funds. Comparatively few individuals have ever traded foreign exchange. In part that is because foreign exchange is an interbank market. Ironically the foreign exchange markets may be the best place to trade derivatives and to invent new derivatives—given the massive two-way flow of trading that goes through bank dealing rooms virtually 24 hours a day. And most of that is transacted at razor-thin margins, at least comparatively speaking, a fact that makes the foreign exchange market an ideal platform for derivatives. The emphasis is on familiarizing the student with the nature of the foreign exchange market and those factors that make it special among financial markets, enabling the student to gain a deeper understanding of the related market for derivatives on foreign exchange

IEOR E4735 Structured and Hybrid Products. 3 points.

Lect: 3.

Prerequisites: (IEOR E4700)

Conceptual and practical understanding of structured and hybrid products from the standpoint of relevant risk factors, design goals and characteristics, pricing, hedging and risk management. Detailed analysis of the underlying cash-flows, embedded derivative instruments and various structural features of these transactions, both from the investor and issuer perspectives, and analysis of the impact of the prevailing market conditions and parameters on their pricing and risk characteristics. Numerical methods for valuing and managing risk of structured/hybrid products and their embedded derivatives and their application to equity, interest rates, commodities and currencies, inflation and credit-related products. Conceptual and mathematical principles underlying these techniques, and practical issues that arise in their implementations in the Microsoft Excel/VBA and other programming environments. Special contractual provisions often encountered in structured and hybrid transactions, and attempt to incorporate yield curves, volatility smile, and other features of the underlying processes into pricing and implementation framework for these products.

Fall 2023: IEOR E4735
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4735 001/12379 Th 7:10pm - 9:40pm
301 Pupin Laboratories
Alireza Javaheri 3 65/80

IEOR E4736 EVENT DRIVEN FINANCE. 3.00 points.

Lect: 3.

Prerequisites: (IEOR E4706 and IEOR E4707) equivalent.

The course takes a long deep look at the actual behavior of real stocks and options in the presence of commonplace, but singular events, such as earnings take-overs, hard-to-borrowness, expirations, etc. The course introduces concepts to propose trading schema (we organize tests via the very extensive and robust IVY options/stock database) and carry out tests efficiently and accurately. It exposes students to the striking differences between the model-based (static, thermodynamic/SDE model solutions) behavior predicted for stocks and options and their real (often quite different) behavior. They will become familiar with computational techniques for modeling and testing proposals for trading strategies. 

IEOR E4738 PROGRAMMING FOR FE 1. 0.00 points.

Lect: 3.

Prerequisites: Familiarity with object-oriented programming.
Object-oriented programming and database development for building financial data and risk systems; Python and Python's scientific libraries; basic database theory, querying and constructing databases; basic risk management and design of risk systems

IEOR E4739 PROGRAMMING FOR FE 2. 3.00 points.

Lect: 2.5.

Prerequisites: (IEOR E4738)
Developing effective software implementations in C programming language; modeling of portfolio optimization; modeling of price impact trading models; review of synchronization of programs using the file system; review of synchronization of programs using threads; review of synchronization of programs using sockets; implementation of high-performance simulations in finance

IEOR E4741 Programming for Financial Engineering. 3.00 points.

Covers C programming language, applications, and features for financial engineering, and quantitative finance applications. Note: restricted to IEOR MS FE students only

Fall 2023: IEOR E4741
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4741 001/12381 W 7:10pm - 9:40pm
633 Seeley W. Mudd Building
Sebastien Donadio 3.00 20/60

IEOR E4742 Deep Learning for OR and FE. 3.00 points.

Selected topics of interest in area of quantitative finance. Some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets. Note: open to IEOR students only

Fall 2023: IEOR E4742
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4742 001/12445  
Ali Hirsa 3.00 53/73

IEOR E4743 Financial Correlations – Modeling, Trading, Risk Management & AI. 3.00 points.

Introduction to math finance, knowledge of working as a "Quant" in investment banking, hedge funds, algo shop, HFT firm, Fed, Exchange, SEC, IMF, back office, mutual fund, as a trader in risk management, product development, model validation, compliance, reporting, academia. Open only to master's students in IEOR department

IEOR E4744 Modeling & Market Making in Foreign Exchange. 1.50 point.

Introduction to topics in modeling and market making in foreign exchange, such as spots markets, forward markets, vanilla option markets, exotic derivative markets, and algorithmic index markets. Open only to master's students in IEOR department

IEOR E4745 Applied Financial Risk Management. 3.00 points.

Prerequisites: Probability and statistics, instruments of the financial markets, and asset pricing models

Prerequisites: see notes re: points
Introduces risk management principles, practical implementation and applications, standard market, liquidity, and credit risk measurement techniques, and their drawbacks and limitations. Note: restricted to IEOR students only

Fall 2023: IEOR E4745
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4745 001/12383 T Th 2:40pm - 3:55pm
209 Havemeyer Hall
Allan Malz 3.00 77/90

IEOR E4798 Financial Engineering Practitioners Seminar Series. 0.00 points.

Degree requirement for all MSFE first-year students. Topics in Financial Engineering. Past seminar topics include Evolving Financial Intermediation, Measuring and Using Trading Algorithms Effectively, Path-Dependent Volatility, Artificial Intelligence and Data Science in modern financial decision making, Risk-Based Performance Attribution, and Financial Machine Learning. Meets select Monday evenings

Fall 2023: IEOR E4798
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4798 001/16063 M 7:00pm - 9:00pm
301 Uris Hall
Ali Hirsa, Winsor Yang 0.00 108/130
Spring 2024: IEOR E4798
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4798 001/11814 M 7:00pm - 9:00pm
301 Uris Hall
Ali Hirsa, Winsor Yang 0.00 0/110

IEOR E4799 MSFE Quantitative and Computational Bootcamp. 0.00 points.

Primer on quantitative and mathematical concepts. Required of all incoming MSFE students

Fall 2023: IEOR E4799
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4799 001/17191  
Sebastien Donadio, Michael Miller 0.00 98/120

IEOR E4899 Research Training. 0.00 points.

Research training course. Recommended in preparation for laboratory related research

IEOR E4900 MASTERS RESEARCH OR PROJECT. 1.00-3.00 points.

Prerequisites: Approval by a faculty member who agrees to supervise the work.
Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design

Spring 2024: IEOR E4900
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4900 001/11997  
Anish Agarwal 1.00-3.00 0/40
IEOR 4900 002/12000  
Shipra Agrawal 1.00-3.00 0/40
IEOR 4900 003/12001  
Eric Balkanski 1.00-3.00 0/40
IEOR 4900 004/12003  
Daniel Bienstock 1.00-3.00 0/40
IEOR 4900 005/12004  
Agostino Capponi 1.00-3.00 0/40
IEOR 4900 006/12006  
Rachel Cummings 1.00-3.00 0/40
IEOR 4900 007/12007  
Antonius Dieker 1.00-3.00 0/40
IEOR 4900 008/12008  
Christopher Dolan 1.00-3.00 0/40
IEOR 4900 009/12013  
Adam Elmachtoub 1.00-3.00 0/40
IEOR 4900 010/12014  
Yuri Faenza 1.00-3.00 0/40
IEOR 4900 011/12015  
Donald Goldfarb 1.00-3.00 0/40
IEOR 4900 012/12016  
Vineet Goyal 1.00-3.00 0/40
IEOR 4900 013/12017  
Ali Hirsa 1.00-3.00 0/40
IEOR 4900 014/12020  
Garud Iyengar 1.00-3.00 0/40
IEOR 4900 015/12023  
Hardeep Johar 1.00-3.00 0/40
IEOR 4900 016/12028  
Cedric Josz 1.00-3.00 0/40
IEOR 4900 017/12031  
Soulaymane Kachani 1.00-3.00 0/40
IEOR 4900 018/12034  
Yaren Kaya 1.00-3.00 0/40
IEOR 4900 019/12035  
Christian Kroer 1.00-3.00 0/40
IEOR 4900 020/12037  
Daniel Lacker 1.00-3.00 0/40
IEOR 4900 021/12038  
Henry Lam 1.00-3.00 0/40
IEOR 4900 022/12039  
Fabrizio Lecci 1.00-3.00 0/40
IEOR 4900 023/12041  
Uday Menon 1.00-3.00 0/40
IEOR 4900 024/12043  
Jay Sethuraman 1.00-3.00 0/40
IEOR 4900 025/12046  
Karl Sigman 1.00-3.00 0/40
IEOR 4900 026/12048  
Clifford Stein 1.00-3.00 0/40
IEOR 4900 027/12049  
Wenpin Tang 1.00-3.00 0/40
IEOR 4900 028/12062  
Kaizheng Wang 1.00-3.00 0/40
IEOR 4900 029/12076  
David Yao 1.00-3.00 0/40
IEOR 4900 030/12089  
Yi Zhang 1.00-3.00 0/40
IEOR 4900 031/12100  
Xunyu Zhou 1.00-3.00 0/40
IEOR 4900 032/12110  
Carmen Ng, Chris Lee 1.00-3.00 0/40

IEOR E4998 MANAG TECH INNOV & ENTREPRENEURSHIP. 3.00 points.

Lect: 3.

A required course for undergraduate students majoring in OR:EMS. Focus on the management and consequences of technology-based innovation. Explores how new industries are created, how existing industries can be transformed by new technologies, the linkages between technological development and the creation of wealth and the management challenges of pursuing strategic innovation

Spring 2024: IEOR E4998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4998 001/11616 F 10:10am - 12:40pm
517 Hamilton Hall
Gerard Neumann 3.00 49/80

IEOR E4999 FIELDWORK. 1.00-1.50 points.

Prerequisites: Obtained internship and approval from faculty advisor.
Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports required. May not be taken for pass/fail credit or audited

Fall 2023: IEOR E4999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4999 001/18702  
Ali Hirsa, Chris Lee 1.00-1.50 11/200
IEOR 4999 002/18703  
Hardeep Johar, Chris Lee 1.00-1.50 51/200
IEOR 4999 003/18704  
Chris Lee, Fabrizio Lecci 1.00-1.50 19/200
Spring 2024: IEOR E4999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 4999 001/11768  
Ali Hirsa, Chris Lee 1.00-1.50 0/150
IEOR 4999 002/11767  
Hardeep Johar, Chris Lee 1.00-1.50 0/150
IEOR 4999 003/11769  
Chris Lee, Fabrizio Lecci 1.00-1.50 1/150

IEOR E6003 Prof Dev for PHDS:3rd Yr . 3.00-3.50 points.

IEOR E6004 Professional Development and Leadership for PhDs - Fourth Year and Beyond. 3.00 points.

IEOR E6602 NONLINEAR & CONVEX PROGRAMMING. 3.00 points.

Lect: 3.

Prerequisites: PhD-level Linear Programming.
Convex sets and functions, convex duality and optimality conditions. Computational methods: steepest descent, Newton and quasi-Newton methods for unconstrained problems, active set, penalty set, interior point, augmented Lagrangian and sequential quadratic programming methods for constrained problems. Introduction to nondifferentiable optimization and bundle methods

IEOR E6608 INTEGER PROGRAMMING. 3.00 points.

IEOR E6613 Optimization, I. 4.5 points.

Prerequisites: Refer to course syllabus.

Theory and geometry of linear programming. The simplex method. Duality theory, sensitivity analysis, column generation and decomposition. Interior point methods. Introduction to nonlinear optimization: convexity, optimality conditions, steepest descent and Newton's method, active set and barrier methods.

Fall 2023: IEOR E6613
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 6613 001/12914 M W 11:40am - 12:55pm
829 Seeley W. Mudd Building
Yuri Faenza 4.5 37/40

IEOR E6614 OPTIMIZATION II. 4.50 points.

Lect: 3.

Prerequisites: Refer to course syllabus.
An introduction to combinatorial optimization, network flows and discrete algorithms. Shortest path problems, maximum flow problems. Matching problems, bipartite and cardinality nonbipartite. Introduction to discrete algorithms and complexity theory: NP-completeness and approximation algorithms

Spring 2024: IEOR E6614
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 6614 001/11953 M W 10:10am - 11:25am
829 Seeley W. Mudd Building
Shipra Agrawal 4.50 18/40

IEOR E6616 CONVEX OPTIMIZATION. 3.00 points.

IEOR E6617 Machine Learning and High-Dimensional Data Analysis in Operations Research. 3.00 points.

Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN

Fall 2023: IEOR E6617
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 6617 001/12384 M 7:10pm - 9:40pm
627 Seeley W. Mudd Building
Krzysztof Choromanski 3.00 27/50

IEOR E6703 ADVANCED FINANCIAL ENGINEERING. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: Probability theory and advanced stochastic models at the SIEO GR6501 level.
Review of basic mathematics, including renewal theory and stochastic calculus. Martingale approach to Black-Scholes formula. Optimal stopping and American options. Pricing of continuous and discrete exotic options. Term structure models and pricing of bond options. Jump diffusion models. Applications, including pricing of real and electricity options and hedging of real options

IEOR E6704 QUEUING THEORY & APPLICATIONS. 3.00 points.

IEOR E6706 QUEUEING NETWORKS. 3.00 points.

IEOR E6711 STOCHASTIC MODELING I. 4.50 points.

Prerequisites: (STAT GU4001) or Refer to course syllabus.
Advanced treatment of stochastic modeling in the context of queueing, reliability, manufacturing, insurance risk, financial engineering and other engineering applications. Review of elements of probability theory; exponential distribution; renewal theory; Wald’s equation; Poisson processes. Introduction to both discrete and continuous-time Markov chains; introduction to Brownian motion

Fall 2023: IEOR E6711
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 6711 001/12697 T Th 10:10am - 11:25am
415 Schapiro Cepser
Henry Lam 4.50 31/40

IEOR E6712 STOCHASTIC MODELING II. 4.50 points.

Prerequisites: (IEOR E6711) or Refer to course syllabus.
Continuation of IEOR E6711, covering further topics in stochastic modeling in the context of queueing, reliability, manufacturing, insurance risk, financial engineering, and other engineering applications. Topics from among generalized semi-Markov processes; processes with a non-discrete state space; point processes; stochastic comparisons; martingales; introduction to stochastic calculus

Spring 2024: IEOR E6712
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 6712 001/11950 T Th 11:40am - 12:55pm
415 Schapiro Cepser
Antonius Dieker 4.50 19/40

IEOR E8100 ADVANCED TOPICS IN IEOR. 3.00 points.

Prerequisites: Faculty adviser's permission.
Selected topics in IEOR. Content varies from year to year. May be repeated for credit

Fall 2023: IEOR E8100
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 8100 002/12386 W 4:10pm - 6:40pm
332 Uris Hall
Xunyu Zhou 3.00 7/30
IEOR 8100 003/12447 F 10:10am - 12:40pm
326 Uris Hall
Rachel Cummings 3.00 6/30
IEOR 8100 004/12455 T Th 11:40am - 12:55pm
337 Seeley W. Mudd Building
Antonius Dieker 3.00 11/30
Spring 2024: IEOR E8100
Course Number Section/Call Number Times/Location Instructor Points Enrollment
IEOR 8100 002/11959 M W 11:40am - 12:55pm
829 Seeley W. Mudd Building
Anish Agarwal 3.00 22/25

IEOR E9101 RESEARCH. 1.00-6.00 points.

Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit

IEOR E9800 DOCTORAL RESEARCH INSTRUCTION. 3.00-12.00 points.

IEOR S3900 UNDERGRAD RESEARCH OR PROJECT. 1.00-3.00 points.

CSOR E4010 GRAPH THEORY: COMBINATL VIEW. 3.00 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: Linear Algebra, or instructor's permission.
An introductory course in graph theory with emphasis on its combinatorial aspects. Basic definitions, and some fundamental topics in graph theory and its applications. Topics include trees and forests graph coloring, connectivity, matching theory and others

CSOR E4200 Data-driven Decision Modeling. 3.00 points.

Introduction to modeling, estimating, and solving decision-making problems in the context of artificial intelligence and analytics. Potential topics include choice models, quantity models, online learning using multi-armed bandits, dynamic decision modeling, dynamic games, and Bayesian learning theory. Practice both theory and applications using Python programming

CSOR E4231 ANALYSIS OF ALGORITHMS I. 3.00 points.

Prerequisites: COMS W3134, COMS W3136, or COMS W3137, and COMS W3203. Introduction to the design and analysis of efficient algorithms. Topics include models of computation, efficient sorting and searching, algorithms for algebraic problems, graph algorithms, dynamic programming, probabilistic methods, approximation algorithms, and NP-completeness

Spring 2024: CSOR E4231
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSOR 4231 001/11942 M W 4:10pm - 5:25pm
313 Fayerweather
Rachel Cummings 3.00 27/78

CSOR W4231 ANALYSIS OF ALGORITHMS I. 3.00 points.

Lect: 3.

Prerequisites: (COMS W3134 or COMS W3136COMS W3137) and (COMS W3203)
Prerequisites: (COMS W3134 or COMS W3136COMS W3137) and (COMS W3203) Introduction to the design and analysis of efficient algorithms. Topics include models of computation, efficient sorting and searching, algorithms for algebraic problems, graph algorithms, dynamic programming, probabilistic methods, approximation algorithms, and NP-completeness

Fall 2023: CSOR W4231
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSOR 4231 001/11294 T Th 8:40am - 9:55am
451 Computer Science Bldg
Timothy Roughgarden 3.00 98/110
CSOR 4231 002/11296 T Th 10:10am - 11:25am
451 Computer Science Bldg
Timothy Roughgarden 3.00 105/110
CSOR 4231 V01/18299  
Timothy Roughgarden 3.00 16/99
Spring 2024: CSOR W4231
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSOR 4231 001/12124 T Th 11:40am - 12:55pm
833 Seeley W. Mudd Building
Eleni Drinea 3.00 132/120
CSOR 4231 002/12125 T Th 10:10am - 11:25am
451 Computer Science Bldg
Christos Papadimitriou 3.00 75/100
CSOR 4231 V01/18719  
Eleni Drinea 3.00 12/99

CSOR W4246 ALGORITHMS FOR DATA SCIENCE. 3.00 points.

Prerequisites: basic knowledge in programming (e.g. at the level of COMS W1007), a basic grounding in calculus and linear algebra. Methods for organizing data, e.g. hashing, trees, queues, lists,priority queues. Streaming algorithms for computing statistics on the data. Sorting and searching. Basic graph models and algorithms for searching, shortest paths, and matching. Dynamic programming. Linear and convex programming. Floating point arithmetic, stability of numerical algorithms, Eigenvalues, singular values, PCA, gradient descent, stochastic gradient descent, and block coordinate descent. Conjugate gradient, Newton and quasi-Newton methods. Large scale applications from signal processing, collaborative filtering, recommendations systems, etc

Fall 2023: CSOR W4246
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSOR 4246 001/11297 T Th 11:40am - 12:55pm
833 Seeley W. Mudd Building
Eleni Drinea 3.00 109/120
CSOR 4246 002/11299 T Th 1:10pm - 2:25pm
329 Pupin Laboratories
Eleni Drinea 3.00 100/100
CSOR 4246 V01/20634  
Eleni Drinea 3.00 5/99

COSA E9800 Data Science Doctoral Seminar. 1 point.

Not offered during 2023-2024 academic year.

The Data Science Doctoral Seminar is a 1-credit course that meets weekly. The purpose is to expose the doctoral students to a breadth of ideas in data science across disciplinary domains. The syllabus combines guest lectures from academic data scientists in the greater NYC area and faculty at Columbia, along with a selection of related readings chosen by the guest lecturers. As part of this seminar, students will be expected to engage in active open discussion about the topics and readings covered in class, as well as discuss how such topics apply to their own respective research areas.

ECIE W4280 CORPORATE FINANCE. 3.00 points.

IEME E4200 HUMAN-CENTERED DESIGN AND INNOVATION. 3.00 points.

Open to SEAS graduate and advanced undergraduate students, Business School, and GSAPP. Students from other schools may apply. Fast-paced introduction to human-centered design. Students learn the vocabulary of design methods, understanding of design process. Small group projects to create prototypes. Design of simple product, more complex systems of products and services, and design of business

IEME E4310 MANUFACTURING ENTERPRISE. 3.00 points.

Lect: 3.

The strategies and technologies of global manufacturing and service enterprises. Connections between the needs of a global enterprise, the technology and methodology needed for manufacturing and product development, and strategic planning as currently practiced in industry

IEME E4810 INTRO-HUMANS IN SPACE FLIGHT. 3.00 points.

Introduction to human spaceflight from a systems engineering perspective. Historical and current space programs and spacecraft. Motivation, cost, and rationale for human space exploration. Overview of space environment needed to sustain human life and health, including physiological and psychological concerns in space habitat. Astronaut selection and training processes, spacewalking, robotics, mission operations, and future program directions. Systems integration for successful operation of a spacecraft. Highlights from current events and space research, Space Shuttle, Hubble Space Telescope, and International Space Station (ISS). Includes a design project to assist International Space Station astronauts

MEIE E4810 INTRO TO HUMAN SPACE FLIGHT. 3.00 points.

Prerequisites: Department permission and knowledge of MATLAB or equivalent
Introduction to human spaceflight from a systems engineering perspective. Historical and current space programs and spacecraft. Motivation, cost, and rationale for human space exploration. Overview of space environment needed to sustain human life and health, including physiological and psychological concerns in space habitat. Astronaut selection and training processes, spacewalking, robotics, mission operations, and future program directions. Systems integration for successful operation of a spacecraft. Highlights from current events and space research, Space Shuttle, Hubble Space Telescope, and International Space Station (ISS). Includes a design project to assist International Space Station astronauts

MSIE W6408 Inventory Theory. 3 points.

Lect: 3.Not offered during 2023-2024 academic year.

Prerequisites: Probability theory, dynamic programming.

Construction and analysis of mathematical models used in the design and analysis of inventory systems. Deterministic and stochastic demands and lead times. Optimality of (s, S) policies. Multiproduct and multiechelon systems. Computational methods.

SIEO W3001 INTRO-PROBABILITY & STATISTICS. 3.00 points.

SIEO W3600 INTRO PROBABILITY/STATISTICS. 4.00 points.

SIEO W3612 PROBABLTY-STATSTCAL INFRNCE II. 3.00 points.

SIEO W4150 INTRO-PROBABILITY & STATISTICS. 3.00 points.