Optimization@MIT

Here is a list of all optimization classes available at MIT and Harvard (through cross registration). Please select a course number for more details on the class. By using the links on the right, you may also browse classes by keyword or by level (undergraduate, graduate) and find out more about various degree programs in optimization at MIT.

MIT Classes

1.021 Introduction to Modeling and Simulation1.045 Systems Design and Optimization

1.200J Transportation Systems Analysis

1.206J Airline Schedule Planning

10.34 Numerical Methods Applied to Chemical Engineering

10.557 Mixed-integer and Nonconvex Optimization

14.102 Mathematics for Economists

14.128 Dynamic Optimization and Economic Applications

15.025 Game Theory for Strategic Advantage

15.053 Optimization Methods in Management Science

15.057 Systems Optimization

15.060 Data, Models, and Decisions

15.066J System Optimization and Analysis for Manufacturing

15.094J Systems Optimization: Models and Computation

15.760 Introduction to Operations Management

15.762J Supply Chain Planning

15.763J Manufacturing System and Supply Chain Design

15.764 Theory of Operations Management

16.410 Principles of Autonomy and Decision Making

16.888J Multidisciplinary System Design Optimization

18.086 Computational Science and Engineering II

18.433 Combinatorial Optimization

2.035 Special Topics in Mathematics with Applications

2.086 Numerical Computation for Mechanical Engineers

2.089J Computational Geometry

2.687 Time Series Analysis and System Identification

6.231 Dynamic Programming and Stochastic Control

6.241 Dynamic Systems and Control

6.242 Advanced Linear Control Systems

6.245 Multivariable Control Systems

6.251J Introduction to Mathematical Programming

6.252J Nonlinear Programming

6.253 Convex Analysis and Optimization

6.254 Game Theory with Engineering Applications

6.255J Optimization Methods

6.256 Algebraic Techniques and Semidefinite Optimization

6.282J Quantitative Foundations of Engineering Systems

6.336J Introduction to Numerical Simulation

6.337J Introduction to Numerical Methods

6.339J Numerical Methods for Partial Differential Equations

6.673 Introduction to Numerical Simulation in Electrical Engineering

6.855J Network Optimization

6.859J Integer Programming and Combinatorial Optimization

Harvard Classes

Applied Mathematics 107 Graph Theory and CombinatoricsApplied Mathematics 121 Introduction to Optimization: Models and Methods

Applied Mathematics 211 Introduction to Numerical Mathematics

Applied Mathematics 221 Advanced Optimization

Engineering Sciences 210 Mathematical Programming

Mathematics 116 Convexity and Optimization with Applications

Suggestions, feedback? Please send your thoughts to optimization-www@mit.edu.