Information and entropy

Bachelor's degree

In Maynard (USA)

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Maynard (USA)

  • Start date

    Different dates available

This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing. Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation. The concept of entropy applied to channel capacity and to the second law of thermodynamics.

Facilities

Location

Start date

Maynard (USA)
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02139

Start date

Different dates availableEnrolment now open

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Subjects

  • GCSE Physics
  • Credit

Course programme

2 sessions / week, 2 hours / session


Physics I: Classical Mechanics (8.01, 8.012, 8.01L, 8.01T, or advanced standing credit)


This subject is designed for MIT freshmen. Academic credit of 9 units (less than that given by a typical MIT subject) is provided.


Spring 2008 is the sixth offering of this subject. It was offered in Spring 2003, 2004, 2005, 2006, 2007 and, before then, three times while being developed, under another number, in Spring 2000, 2001, and 2002.


This subject is offered jointly by the Department of Electrical Engineering and Computer Science, and the Department of Mechanical Engineering. Students may sign up for either 2.110J or 6.050J.


The course is taught from a set of notes written by Prof. Penfield, developed over several years of teaching this course. Each week these readings are supplemented by a plethora of online and print resources. (PDF - 4.4 MB)


Problem sets are not distributed. Instead, homework problems are described and assigned in class. In some cases, solutions are provided after the problems are due. Late submissions do not receive any credit. Problem sets from 2003 have been republished as part of each unit, to provide representative examples of the homework problems.


Closed book except that one sheet of 8 1/2 x 11 inch paper, with notes on both sides, is allowed. Coverage through Unit 8.


Closed book except that two sheets of 8 1/2 x 11 inch paper, with notes on both sides, are allowed.


Students are expected to access resources on the World Wide Web, both from the course site and elsewhere.


6.050J / 2.110J is a nine-unit subject. It is intended that the overall work required be approximately nine hours per week, including four hours of lecture and recitation. Any students who find themselves spending substantially more than nine hours any week should question whether they are stuck and might make more rapid progress if they asked the instructing staff for some hints or got advice from fellow students. In particular, students should avoid spending nonproductive time on the computer, either polishing a MATLAB exercise unnecessarily, or surfing the Web aimlessly.


Weak collaboration is permitted on problem sets. In this context the term "weak collaboration" means that two or more students may discuss the problems and their ways of approaching them, but each student must fully work out the problem and present only his or her own solution. Advice can be given and received, but no part of the solution can be copied from another, nor can identical portions appear in the submissions of two or more students. Any weak collaboration must be fully disclosed as part of the problem solution, for example by a phrase like "Alice Alison and Bob Robertson collaborated in part (b) by discussions of general approach." Since weak collaboration involves discussions among two or more people, all must have compatible statements.


Help from people not taking this course is also permitted, provided that it is fully disclosed, and that the solution submitted was written in the privacy of the submitter's own mind and body.


Strong collaboration is not permitted on problem sets. In this context the term "strong collaboration" is any collaboration in which work done by others is incorporated, with or without disclosure. Strong collaboration is normal and desirable in the work environment, where the principal purpose is to accomplish, as a team, some objective. In an academic setting, however, the purpose is to facilitate learning by each individual student, and strong collaboration does not support that goal.


It is, of course, a serious academic offense for a student to present another's work as his or her own. It is also an offense to fail to report collaboration in accordance with course policy. Such offenses will be treated seriously.


Grades will be based on:


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Information and entropy

Price on request