Introduction to MATLAB
This is an accelerated introduction to MATLAB® and its popular toolboxes.Computational Biology
This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice.Design and Analysis of Algorithms
Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice.Design and Analysis of Algorithms
This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application.Introduction to Algorithms (SMA 5503)
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Automata, Computability, and Complexity
This course provides a challenging introduction to some of the central ideas of theoretical computer science.Mathematics for Computer Science
This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering.Mathematics for Computer Science
This course covers elementary discrete mathematics for computer science and engineering.Probabilistic Systems Analysis and Applied Probability
Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.Computer Language Engineering (SMA 5502)
6.035 is a course within the department’s “Computer Systems and Architecture” concentration.Computer Language Engineering
This course analyzes issues associated with the implementation of higher-level programming languages. Artificial Intelligence
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.Artificial Intelligence
This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of viewIntroduction to EECS II: Digital Communication Systems
An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. Electromagnetics and Applications
This course explores electromagnetic phenomena in modern applications,Electromagnetics and Applications
This course explores electromagnetic phenomena in modern applicationsMicroelectronic Devices and Circuits
6.012 is the header course for the department’s “Devices, Circuits and Systems” concentration.Microelectronic Devices and Circuits
6.012 is the header course for the department’s “Devices, Circuits and Systems” concentration.Microelectronic Devices and Circuits
6.012 is the header course for the department’s “Devices, Circuits and Systems” concentration. Signals, Systems and Inference
This course covers signals, systems and inference in communication, control and signal processing.Electromagnetic Energy: From Motors to Lasers
This course discusses applications of electromagnetic and equivalent quantum mechanical principles to classical and modern devices.Introduction to Algorithms
This course provides an introduction to mathematical modeling of computational problems.Introduction to Algorithms
This course provides an introduction to mathematical modeling of computational problems. Introduction to Algorithms
This course is an introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems.
