Mathematics for Computer Science - MIT OpenCourseWare
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting ...
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MIT OpenCourseWare
Department of Mathematics and the Computer Science and AI Laboratory, Massachussetts Institute of Technology; Akamai Technologies. Albert R Meyer. Department of Electrical Engineering and Computer Science and the Computer Science and AI Laboratory, Massachussetts Institute of Technology. 2015, Eric Lehman, F Tom Leighton, Albert R Meyer.
Mathematics for Computer Science - MIT OpenCourseWare
This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: 1. Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations. 2. Discrete structures: graphs, state machines, modular arithmetic, counting. 3. Discrete probability theory. On completion of 6.042J ...
MIT6_042JS15_textbook.pdf | Mathematics for Computer Science ...
Electrical Engineering and Computer Science; Mathematics; As Taught In Spring 2015 Level Undergraduate. Topics Engineering. Computer Science. Mathematics. Applied Mathematics. Probability and Statistics. Learning Resource Types menu_book Online Textbook. theaters Lecture Videos. notes ...
Introduction to Computational Thinking | Mathematics - MIT …
This class uses revolutionary programmable interactivity to combine material from three fields -- Computer Science + Mathematics + Applications -- creating an engaging, efficient learning solution to prepare students to be sophisticated and intuitive thinkers, programmers, and solution providers for the modern interconnected online world. …
Mathematics for Computer Science - MIT OpenCourseWare
The text is Mathematics for Computer Science, available in the Readings section. Reading will be assigned each week with the problem sets. Homework and Exams. There are 12 problem sets. Typically, a problem set is due a week after it is assigned. There are two exams: one 2-hour evening midterm, and a 3-hour final during finals week.
Mathematics for Computer Science - MIT OpenCourseWare
This section contains the course notes, Mathematics for Computer Science. Chapter 8 is not available on MIT OpenCourseWare. Chapter 8 is not available on MIT OpenCourseWare. These notes are courtesy of Eric Lehman, Tom Leighton, and …
Video Lectures | Mathematics for Computer Science | Electrical ...
Mathematics for Computer Science. Menu. More Info Syllabus Calendar Readings Video Lectures Recitations Assignments Exams Video Lectures. Lecture 1: Introduction and Proofs. Lecture 2: Induction. Lecture 3: Strong Induction. Lecture 4: Number Theory I. …
Mathematics for Computer Science - MIT OpenCourseWare
Mathematics for Computer Science. Menu. More Info Online Publication. Syllabus Online Textbook Readings. The full course textbook, Mathematics for Computer Science, is available for download (PDF 5.8MB). SES # READINGS Unit 1: Proofs: 1 Chapter 1.1–1.6 (PDF) 2 Chapter 1.7–1.9 (PDF) ...
Mathematics for Computer Science - MIT OpenCourseWare
This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds: 1. Fundamental Concepts of Mathematics: Definitions, Proofs, Sets, Functions, Relations 2. Discrete Structures: Modular Arithmetic, Graphs, State Machines, Counting 3. Discrete Probability Theory A version of this course from a previous term was also ...