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 Simulation
1.045 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 Combinatorics
Applied Mathematics 121 Introduction to Optimization: Models and Methods
Applied Mathematics 211 Introduction to Numerical Mathematics
Engineering Sciences 210 Mathematical Programming
Mathematics 116 Convexity and Optimization with Applications
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