16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonli ...

This research-oriented course will focus on algebraic and computational techniques for optimization problems involving polynomial equations and inequalities with particular emphasis on the conne ...

The first course in the study of linear algebra that will be offered by all 100 level students wishing to have a Bachelors' degree in Mathematics, Chemistry, Physics, Mathematics Education, ...

This is a undergraduate course. It will cover normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completene ...

For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrat ...

Statistics 20, 002 Introduction to Probability and Statistics Professor Deborah Nolan

With the classification and understanding of various kinds of quantitative data, useful computer programs will be practiced for efficient data processing. Statistical analysis, numerical a ...

The course guide provides you with the various topics on the introductory course in indexing and classification theory. In this course we will study the origin of classification and of the vario ...

This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits a ...