IT, Computing, Telecommunications Degrees

...Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. No regular class schedule... Learn about: Team Training...

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

...1.5 hours / session This course covers the analysis and design of digital integrated circuits using CMOS technology. The course emphasizes design...

...vector spaces of random variables; Bayesian and Neyman-Pearson hypothesis testing; Bayesian and nonrandom parameter estimation; minimum-variance unbiased... Learn about: Signal processing...

...1.5 hours / session Recitations: 1 session / week, 1 hour / session Ljung, Lennart. System Identification: A Theory for the User. 2nd ed. Upper Saddle River...

...The course covers most of the topics in 6.431 (sample space, random variables, expectations, transforms, Bernoulli and Poisson processes, finite Markov chains...

...The second class, 6.451 Principles of Digital Communication II, is offered in the spring. Lectures: 2 sessions / week, 1.5 hours / session This course... Learn about: Communication Training, Signal processing...

...The second class, 6.451, is offered in the spring. Lectures: 2 sessions / week, 1.5 hours / session This course is a graduate level introduction to... Learn about: Communication Training...

...channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing... Learn about: Communication Training...

...availability of and access to unprecedented amounts of data and computational resources. Unlike classical statistics, the need to process and manage massive... Learn about: Data analysis...

...to the CSE PhD program, indicating the department they wish to be hosted in. To gain admission, CSE program applicants must receive approval from... Learn about: Computational Science...

...with an interest in doing research in theoretical aspects of algorithms that aim to extract information from data. These often lie in overlaps of two or more of the following... Learn about: GCSE Mathematics...

...knowledge of the analytical tools that bear most directly on the economic decisions firms must regularly make. We will emphasize market structure and industrial performance... Learn about: Pricing Strategy...

...the opportunity to analyze business opportunities and regulatory decisions. Members of the class have the added advantage of being able to meet and...

...or thinking structurally about decision problems in order to make informed management decisions. Lectures: 2 sessions / week, 1.5 hours / session Recitations... Learn about: Team Training...

...has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices... Learn about: Artificial Intelligence, Credit Rating, Database training...

...linear regression, analysis of variance, categorical data analysis, and nonparametric statistics. Lectures: 2 sessions / week, 1.5 hours / session Recitations... Learn about: Data analysis...

...Among the areas covered are: individual affect and cognition; group process and performance; and organizational culture and adaptation. The class...

...to develop breakthroughs systematically. 15.356 How to Develop Breakthrough Products and Services explores several practical idea generation development methods...

...approach writing their essays, which cover topics of their choosing. Lectures: 2 sessions / week, 1.5 hours / session Firms must develop major innovations...