This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.
20 hours of lectures
Exams, quizzes and problem sets with solutions
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
A textbook for 6.00 is now available. The book and the course lectures parallel each other, though there is more detail in the book about some topics. The book is NOT required. We will not be referring to it in assignments or depending upon it to cover holes in the lectures.
Guttag, John. Introduction to Computation and Programming Using Python. MIT Press, 2013. ISBN: 9780262519632.
If you choose not to purchase this book, you will probably find it useful to buy or borrow another book that covers Python. You might check your local public library's resources, or search online for a free Python text, such as How to Think Like a Computer Scientist or An Introduction to Python.
Online readings will be posted on the appropriate session pages. A more complete list of readings and references (not all of which are specifically assigned during lectures) can be found in the References section.
Other optional textbooks:
Since one of the goals of this course is to become familiar with programming, you will need to install and use the Python programming language and the interpreter IDLE. Please see the Software section for information and instructions on downloading the required software.
Most lectures involve programming demonstrations, and the code involved will generally be posted twice: once as a handout in PDF format, and again as a code file in .PY (Python) format. Additionally, many problem sets have accompanying code required for completing the assignment, and these are posted as .PY (Python) files. If you do not have the software installed, you will not be able to properly open and use these files.
Professor Guttag received a bachelor's degree in English from Brown University in 1971, and a master's degree in applied mathematics from Brown in 1972. In 1975, he received a doctorate in computer science from the University of Toronto. He was a member of the faculty at the University of Southern California from 1975-1978, and joined the MIT faculty in 1979.
From 1993 to 1998, Professor Guttag served as Associate Department Head for Computer Science of MIT's Electrical Engineering and Computer Science Department. From January of 1999 through August of 2004, Professor Guttag served as Head of that department.
Professor Guttag currently co-heads the Computer Science and Artificial Intelligence Laboratory's Networks and Mobile Systems Group. This group studies issues related to computer networks, applications of networked and mobile systems, and advanced software-based medical instrumentation and decision systems. Professor Guttag's current research is centered on the application of advanced computational techniques to medicine. Current projects include prediction of adverse medical events, prediction of response to therapies, non-invasive monitoring and diagnostic tools, and tele-medicine. He has also done research, published, and lectured in the areas of sports analytics, software defined radios, software engineering, mechanical theorem proving, and hardware verification.
Professor Guttag is a Fellow of the ACM and a member of the American Academy of Arts and Sciences.
His recent publications can be found from here.
Source: John V. Guttag in CSAIL.
We would like to thank course TAs Mitchell Peabody, Gartheeban Ganeshapillai, and Sarina Canelake for their participation in filming 6.00 recitations for OCW Scholar, and Niki Castle and Elaina Cherry for their work and dedication adapting the 6.00 materials for Scholar students. We would also like to thank Eric Grimson for his role in the development of 6.00 teaching material over the years, and for allowing us to record a guest lecture.
6.00SC Introduction to Computer Science and Programming, Spring 2011. (MIT OpenCourseWare: Massachusetts Institute of Technology) by Guttag, John. is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Based on a work at http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011.
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