IT, Computing, Telecommunications Undergraduate Degrees

...written by Arthur Gelb and Professor Wallace Vander Velde. Lectures: 3 sessions / week, 1 hour / session Grading Grade distribution is: Final...

...and recent major accidents in particular; hazard analysis, safety-driven design techniques; design of human-automation interaction; integrating safety... Learn about: System Engineering...

...aerodynamics, dynamics and control, and aerospace systems. Techniques covered include numerical integration of systems of ordinary differential equations... Learn about: Fluid Mechanics, Aerospace Engineering...

...they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty... Learn about: Data analysis...

...It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals...

...It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major...

...It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major...

...Our primary goal is for you to learn to appreciate and use the fundamental design principles of modularity and abstraction in a variety of contexts...

...the core of departmental subjects which is required for all undergraduates in Electrical Engineering and Computer Science. It offers an online version...

...(singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear... Learn about: GCSE Physics, Signal processing...

...combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms are explored...

...and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance...

...methods work under a variety of circumstances. Lectures: 2 sessions / week, 1 hour / session Mega-recitations: 1 session / week, 1 hour / session Recitations... Learn about: Artificial Intelligence...

...up to 4 sessions / week, 1 hour / session This course analyzes issues associated with the implementation of higher-level programming languages...

...of high-level programming languages. Topics covered include: fundamental concepts, functions, and structures of compilers, basic program optimization techniques...

...Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: Lectures...

...Lectures: 3 sessions / week, 1.5 hour / session This subject offers an introduction to discrete mathematics oriented toward computer science and engineering... Learn about: Team Training, GCSE Mathematics, Problem Solving...

...through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem...

...Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography. Lectures...

...1.5 hours / session Recitations: 1 session / week, 1 hour / session This course introduces students to the analysis and design of computer algorithms...