Analysis and Programming Degrees

...Beginning in antiquity—with Euclid's algorithm and other ancient examples of computational thinking—the course will progress rapidly through propositional logic...

...such as dynamic memory allocation, concurrency and synchronization, UNIX signals and process control, library development and usage. Daily programming... Learn about: C programming...

...resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up... Learn about: Object-oriented training, Object oriented Programming, Oriented Programming...

...Each class is a combination of lecture, and lab to both present and reinforce the material. Due to the long class period, opportunities for students stretch...

...2 sessions / week for 4 weeks, 1 hour / session This course is an introduction to software engineering, using the Java™ programming language... Learn about: Java Programming, Software Engineering, Quality Training...

...but optional. Students who complete 6.092 will learn Java™ fundamentals in preparation for taking 6.170 in the Spring. We'll cover the Java™ language plus...

...of a small audio amplifier and preamplifier. Seven weeks are devoted to the design and implementation, and written and oral presentation of a project... Learn about: Construction Training...

...to introduce fundamental topics before students embark on lab assignments and ultimately, a digital design project. The students design and implement...

...simplicity, and modularity. Topics also include functional programming, relational databases, and security. Lectures: 2 sessions / week, 1.5 hours / session Recitations... Learn about: Software Engineering...

...obtaining good performance requires a comprehensive understanding of all layers of the underlying platform, deep insight into the computation at...

...1 hour / session Labs: 3 sessions / week for 3 weeks, 2 hours / session Welcome to 6.189! This course will provide a comprehensive, fast-paced introduction to Python...

...platform as they learn how to design and implement exciting applications for multicore architectures. At the end of the course, students will have an understanding...

...as well as perfectly or imperfectly observed systems. We will also discuss approximation methods for problems involving large state spaces. Applications... Learn about: Decision Making...

...H-infinity controller design; Mu-synthesis; model and compensator simplification; and nonlinear effects. The assignments for the course comprise of computer-aided (MATLAB®)... Learn about: Computer Aided Design...

...the simplex method, sensitivity analysis, robust optimization, large scale optimization network flows, solving problems with an exponential number of constraints... Learn about: Network Training...

...and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization...

...Lectures: 2 sessions / week, 1.5 hours / session This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms...

...pricing and investment decisions in the Internet), and social models (including social and economic networks). The course emphasizes theoretical foundations... Learn about: Communication Training...

...optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming... Learn about: Network Training...

...single and multi-server queues, multi-class queueing networks, fluid models, adversarial queueing networks, heavy-traffic theory and diffusion approximations...