This is an archived course. A more recent version may be available at ocw.mit.edu.

 

Syllabus

Course Meeting Times

Lectures: 2 sessions / week, 1 hour / session

Recitations: 2 sessions / week, 1 hour / session

Description

6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

Prerequisites

6.02 Introduction to EECS II or 6.002 Circuits and Electronics

Textbook

Amazon logo Oppenheim, Alan, and Alan Willsky. Signals and Systems. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 1996. ISBN: 9780138147570.

6.003 Grade

Your grade in 6.003 will be the weighted average of the following component grades:

ACTIVITIES PERCENTAGES
Midterm 1 10%
Midterm 2 15%
Midterm 3 20%
Final exam 40%
Homework, participation, other factors 15%

Homework Grades

Each homework problem will be graded as check (fine), check-plus (very good), check-minus (one or more deficiencies), or zero. Average homework grades on the positive side of check will increase your final grade in 6.003 above the weighted average of your exam grades. Average homework grades on the negative side of check will reduce your final grade in 6.003. Missing homework counts as check-minus-minus-minus.

Collaboration Policy

We encourage students to discuss assignments in this subject with other students and with the teaching staff to better understand the concepts. However, when you submit an assignment under your name, we assume that you are certifying that the details are entirely your own work and that you played at least a substantial role in the conception stage.

You should not use results from other students (from this year or from previous years) in preparing your solutions. You should not take credit for computer code or graphics that were generated by other students. Students should never share their solutions with other students.

Any student caught plagiarizing will receive a grade of zero on the assignment. All incidents of plagiarism will be reported to the Committee on Discipline (COD). More information about what constitutes plagiarism can be found at the MIT Academic Integrity site.