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1-24 of 99 results for Materials Submitted by Sorel Reisman

This class covers quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of... see more

This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431... see more

This course is offered to undergraduates and introduces basic mathematical models of computation and the finite... see more

6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference... see more

This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling,... see more

6.895 covers theoretical foundations of general-purpose parallel computing systems, from languages to architecture. The... see more

This research-oriented course will focus on algebraic and computational techniques for optimization problems involving... see more

This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced... see more

This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty... see more

Course Highlights This course aims to facilitate students understanding of the basics of probability and statistics,... see more

The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms... see more

'Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is... see more

This course gives an introduction to probability and statistics, with emphasis on engineering applications. Course topics... see more

This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from... see more

A presentation of the fundamentals of modern numerical techniques for a wide range of linear and nonlinear elliptic,... see more

This introductory calculus course covers differentiation and integration of functions of one variable, with applications.

18.014, Calculus with Theory, covers the same material as 18.01 (Calculus), but at a deeper and more rigorous level. It... see more

This course covers vector and multi-variable calculus. It is the second semester in the freshman calculus sequence.... see more

This course covers vector and multi-variable calculus. It is the second semester in the freshman calculus sequence.... see more

This is an undergraduate course on calculus of several variables. It covers all of the topics covered in Calculus II... see more

The following topics are covered in the course: complex algebra and functions; analyticity; contour integration, Cauchy's... see more

This course explored topics such as complex algebra and functions, analyticity, contour integration, Cauchy's theorem,... see more

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other... see more

This is a communication intensive supplement to Linear Algebra (18.06). The main emphasis is on the methods of creating... see more