MIT 6 00 - Lecture notes (10 pages)

Previewing pages 1, 2, 3 of 10 page document View the full content.
View Full Document

Lecture notes



Previewing pages 1, 2, 3 of actual document.

View the full content.
View Full Document
View Full Document

Lecture notes

69 views

Lecture Notes


Pages:
10
School:
Massachusetts Institute of Technology
Course:
6 00 - Introduction to Computer Science and Programming
Introduction to Computer Science and Programming Documents

Unformatted text preview:

MIT OpenCourseWare http ocw mit edu 6 00 Introduction to Computer Science and Programming Fall 2008 Please use the following citation format Eric Grimson and John Guttag 6 00 Introduction to Computer Science and Programming Fall 2008 Massachusetts Institute of Technology MIT OpenCourseWare http ocw mit edu accessed MM DD YYYY License Creative Commons Attribution Noncommercial Share Alike Note Please use the actual date you accessed this material in your citation For more information about citing these materials or our Terms of Use visit http ocw mit edu terms MIT OpenCourseWare http ocw mit edu 6 00 Introduction to Computer Science and Programming Fall 2008 Transcript Lecture 17 OPERATOR The following content is provided under a Creative Commons license Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free To make a donation or view additional materials from hundreds of MIT courses visit MIT OpenCourseWare at ocw mit edu PROFESSOR OK we re now kind of on the home stretch and we re entering the part of the course that s actually my favorite part of the course I can t promise it will be your favorite part of the course but I hope so at least for many of you Throughout the term we ve been talking about ways to solve problems using computation And one of the key lessons that I hope you re beginning to absorb is that we might use a completely different way to solve a problem with the computer than we would have used if we didn t have a computer handy In particular we might often use brute force which you ve never use with a pencil and paper we might not do the mental gyrations required to try and formulate a closed form solution but just guess a bunch of answers using successive approximation until we got there A number of different techniques And that s really what we re going to be doing for the rest of the term now Except we won t be talking about algorithms per se or not very much Instead we ll be talking about more



View Full Document

Access the best Study Guides, Lecture Notes and Practice Exams

Loading Unlocking...
Login

Join to view Lecture notes and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture notes and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?