ECE 201
Introduction to Electrical Engineering II
Spring 2000
 Class
Time: Tuesday and Thursday, 4:30 - 5:45 p.m., David King Hall,
Room 1006,
Dr. Beale
Graduate
Teaching Assistant for lectures and HW: Hatim Behairy
Office Hours: Monday, 1:30 - 3:00 p.m. & Wednesday, 3:00 - 5:30 p.m.,
Sci & Tech I, Room 2E.
Graduate
Teaching Assistant for labs: Peter Xu (sections 201, 203, 205)
Office Hours: Tuesday, 8:00 a.m. - 10:00 a.m. and Wednesday, 10:00 a.m. - 12:00 p.m.,
Sci & Tech II, Room 265.
Graduate
Teaching Assistant for labs: Luu Pham (sections 202, 204, 206)
Office Hours: Monday, 2:00 - 4:00 p.m.,
Sci & Tech II, Room 265.
Prerequisites:
Grade of C or better in MATH 113
Required
Text: DSP First: A Multimedia Approach, by
McClellan, Schafer, and Yoder, Prentice Hall, 1998,
Chapters 1-6.
Recommended
Text: The Student Edition of MATLAB: Version 5
User's Guide, Prentice Hall, 1997
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Honor Code and Exam Policy
All students are expected to abide by the George Mason University Honor Code. Sharing of ideas and comparison of
answers on homework is acceptable and encouraged, but copied work will not be accepted. All tests and the final
exam will be closed book and closed notes unless specifically stated otherwise by the Instructor. All work must be
your own. Any reasonable suspicion of an honor violation will be reported.
Students must arrive in class within 15 minutes of the scheduled starting time for all tests and exams. Students
arriving later than 15 minutes after the scheduled starting time will not be allowed to take the test/exam and will
receive a grade of 0 for the test/exam.
Objectives:
Introduce the students to some of the
major concepts in electrical engineering, such as frequency
response and sampling.
Introduce the students to methods of
engineering problem solving through the use of powerful
software tools.
Introduce the students to some
important mathematical tools that will be used in many of
their subsequent courses in electrical engineering.
Grading:
| 2 Tests |
40% |
| Homework |
15% |
| Lab Exercises |
20% |
| Final Exam |
25% |
Late homework will not be accepted. The two lowest
homework grades will be dropped when determining a student's
homework grade. The higher test grade will count 60% of the test
average, and the lower test grade will count 40% of the test
average.
Important Dates:
Test 1 -- Tuesday, February 22 -
Chapter 1 and MATLAB
Test 2 -- Thursday, April 6 -
Chapters 2 and 3
Final Exam -- Tuesday, May 16,
4:30 p.m. - 7:15 p.m., Comprehensive, Chapters 4 and 5 emphasized.
Last day to drop classes without Dean's
permission -- Friday, February 25.
No Class March 13 - 19 due to Spring Break!!
Course Outline:
Chapter 1 -- Introduction, overview and
outline of the course, signals and systems -- their
definitions and mathematical representations - 1 class
period.
MATLAB overview -- The syntax of commands in MATLAB, common MATLAB
commands, writing functions and scripts - 7 class periods.
Chapter 2 -- Complex numbers and
complex arithmetic, sinusoidal signals, relationships between
the time and frequency domains, graphical representations of
signals - 5 class periods.
Chapter 3 -- Frequency spectrum of a
signal, graphical methods for representing the spectrum,
combinations of sinusoids, creating non-sinusoidal signals
from sinusoids, the Fourier series - 4 class periods.
Chapter 4 -- Converting continuous-time
signals to discrete-time, the sampling process, the effect of
sampling too slowly, fundamental limitations on sampling, the
frequency spectrum of a sampled signal, converting
discrete-time signals back to continuous-time, ideal
interpolation - 4 class periods.
Chapter 5 -- Systems that operate in
discrete time, the Finite Impulse Response (FIR) filter, an
example of FIR filtering, building blocks for implementing
FIR filters, linear time-invariant (LTI) systems - 5 class
periods.
Labs -- All Lab sections will meet in
Sci & Tech II, Room 133. The Lab experiments are designed
and intended to complement the material presented in class in
order to strengthen the students' understanding of the
material. Students are expected to be well prepared when they
come to the Lab in order to make the most efficient use of
their time.
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Lastest revision on
Thursday, June 8, 2006 6:53 PM