This course covers widely applicable mathematical tools for computer science, including topics from logic, set theory, combinatorics, number theory, probability theory, and graph theory. It includes practice in reasoning formally and proving theorems. Students meet twice a week via web conference to solve problems collaboratively. They also watch recorded lectures from the Harvard School of Engineering and Applied Sciences course Computer Science 20. Formerly CSCI E-120.

Prerequisite: MATH E-15, or the equivalent. (4 credits)

会期:

- 2014年1月28日

还有这个题目的:

Principles of Applied Mathematics (Fall 2007)

Principles of Applied Mathematics is a study of illustrative topics in discrete...

Principles of Applied Mathematics is a study of illustrative topics in discrete...

Data Structures and Algorithms

This is a rigorous course on the design and analysis of efficient algorithms...

This is a rigorous course on the design and analysis of efficient algorithms...

Software Engineering

This course examines how current software engineering methods approach...

This course examines how current software engineering methods approach...

Mathematics for Computer Science (Fall 2005)

This is an introductory course in Discrete Mathematics oriented toward Computer...

This is an introductory course in Discrete Mathematics oriented toward Computer...

Combinatorial Theory: Introduction to Graph Theory, Extremal and Enumerative Combinatorics

This course serves as an introduction to major topics of modern enumerative...

This course serves as an introduction to major topics of modern enumerative...

还有标题«数学与统计»:

Model-Based Automotive Systems Engineering

Learn how to model and simulate system dynamics in automotive engineering Modeling...

Learn how to model and simulate system dynamics in automotive engineering Modeling...

Using Python for Research

Take your introductory knowledge of Python programming to the next level and...

Take your introductory knowledge of Python programming to the next level and...

Observation Theory: Estimating the Unknown

Learn how to estimate parameters from observational data for real-world engineering...

Learn how to estimate parameters from observational data for real-world engineering...

Introduction to Analytics Modeling

Learn essential analytics models and methods and how to appropriately apply...

Learn essential analytics models and methods and how to appropriately apply...

Computing for Data Analysis

A hands-on introduction to basic programming principles and practice relevant...

A hands-on introduction to basic programming principles and practice relevant...

还有Harvard Extension School:

Abnormal Psychology

We examine a variety of mental disorders from several different theoretical...

We examine a variety of mental disorders from several different theoretical...

Abstract Algebra

Algebra is the language of modern mathematics. This course introduces students...

Algebra is the language of modern mathematics. This course introduces students...

Abstraction and Design in Computation

This course covers abstraction and design in computation. Topics include...

This course covers abstraction and design in computation. Topics include...

Academic Writing and Critical Reading

This course introduces students to the demands and conventions of academic...

This course introduces students to the demands and conventions of academic...

Adult Development

This course explores adulthood—the latter two-thirds to three-quarters...

This course explores adulthood—the latter two-thirds to three-quarters...

© 2013-2019