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Combinatorial Optimization

Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization.

Error-Correcting Codes Laboratory

This course introduces students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes.

Introduction to Numerical Analysis

This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering.

Computational Science and Engineering I

This course provides the fundamental computational toolbox for solving science and engineering problems.

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks.

Space Systems Engineering

Space Systems Engineering (16.83X) is the astronautical capstone course option in the Department of Aeronautics and Astronautics.

Engineering Design and Rapid Prototyping

This course provides students with an opportunity to conceive, design and implement a product, using rapid prototyping methods and computer-aid tools.

Engineering Design and Rapid Prototyping

This course provides students with an opportunity to conceive, design and implement a product, using rapid prototyping methods and computer-aid tools.

Private Pilot Ground School

This is a three-day workshop that took place during the MIT Independent Activities Period (IAP) in January, 2019.

Prototyping Avionics

In the past building prototypes of electronic components for new projects/products was limited to using protoboards and wirewrap.

Introduction to Lean Six Sigma Methods

This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors.

System Safety

This course introduces the concepts of system safety and how to analyze and design safer systems.

Experimental Projects I

The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I (this course) and 16.622 Experimental Projects II.

Aerospace Dynamics

This undergraduate course builds upon the dynamics content of Unified Engineering, a sophomore course taught in the Department of Aeronautics and Astronautics at MIT.

Introduction to Propulsion Systems

This course presents aerospace propulsive devices as systems, with functional requirements and engineering and environmental limitations along with requirements and limitations that constrain design choices

Principles of Autonomy and Decision Making

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids.

Human Factors Engineering

This course is designed to provide both undergraduate and graduate students with a fundamental understanding of human factors that must be taken into account in the design and engineering of complex aviation and space systems.

Communication Systems Engineering

This course will cover fundamentals of digital communications and networking.

Feedback Control Systems

This course will teach fundamentals of control design and analysis using state-space methods.

Estimation and Control of Aerospace Systems

This course focuses on the design of control systems.

Techniques for Structural Analysis and Design

This course introduces analysis techniques for complex structures and the role of material properties in structural design, failure, and longevity.

Structural Mechanics

Applies solid mechanics to analysis of high-technology structures. Structural design considerations. Review of three-dimensional elasticity theory; stress, strain, anisotropic materials, and heating effects.


This course extends fluid mechanic concepts from Unified Engineering to the aerodynamic performance of wings and bodies in sub/supersonic regimes.


This course covers the fundamentals of Newtonian mechanics, including kinematics, motion relative to accelerated reference frames, work and energy, impulse and momentum, 2D and 3D rigid body dynamics.
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