EECS Main > Academics > Course Info

EECS 202 - Introduction to Electrical Engineering

COURSE TITLE: EECS 202 Introduction to Electrical Engineering

CATALOG DESCRIPTION: An introduction to the concepts and applications of electrical engineering. Topics include quantization, binary representation, performance; power spectral density, digital filtering; fundamental limitations; control systems, Feedback systems; properties of lasers; amplifiers, passive circuit elements, active circuit elements; electronic devices and materials.

REQUIRED TEXTBOOK: None.

REFERENCE TEXTBOOKS:

1. James H. McClellan, R. W. Schafer, and M. A. Yoder, DSP First: a Multimedia Approach, Prentice Hall, 1998.

2. J. R. Cogdell, Foundations of Electronics, Prentice Hall, 1999.

3. K. C. Pohlman, The Compact Disc Handbook, A-R Editions, Inc., Madison, Wisconsin, 1992.

4. R. Kuc, An Introduction to Electrical Engineering: The Digital Information Age, PWS Publishing, 1999.

5. M. Plonus, Electronics and Communications for Scientists and Engineers, Harcourt/Academic Press, 2001.

COURSE COORDINATOR: Alan V. Sahakian

COURSE GOALS: To provide a broad introduction to freshmen and sophomores to the field of electrical engineering by exploring different sub-areas of signals and systems, circuits and electronics, photonics and electromagnetics and solid-state engineering. This would serve to convince declared electrical engineering majors to remain in the field, and to attract students from other majors to join electrical engineering. Another goal is to prepare students to take some more advanced courses in each of the fields of electrical engineering. The concepts are applied to hands-on laboratory assignments that includes the design of a CD player.

PREREQUISITES: GEN ENG 205-3.

DETAILED COURSE TOPICS:

Week 1: Intro to course, overview of EE, CD player block diagram, CD player as a communications system, digital vs. analog representation of signals.

Week 2: Quantization, binary representation, performance: bit error rate, time and frequency domains, analog filtering.

Week 3: Power spectral density, sampling and aliasing, digital filtering.

Week 4: Fundamental limitations: power, bandwidth, noise, Shannon capacity formula, error control.

Week 5: Anatomy of a control system, feedback systems, open and closed-loop, tradeoffs in system design, digital control of analog systems, stability.

Week 6: Midterm, optical components in a CD player, laser operation.

Week 7: Properties of laser beams: lenses, diffraction limit, storage capacity, modulation, readwrite CDs, detection of light.

Week 8: Amplifiers, passive circuit elements, active circuit elements.

Week 9: Devices: diodes, LEDs, FETs, BJTs, lasers and detectors.

Week 10: Materials and solid state engineering: solid-state concepts, intrinsic and extrinsic semiconductors.

COMPUTER USAGE:

Use of PSPICE for circuit modeling and simulation.

Use of MATLAB to illustrate signals and systems concepts.

HOMEWORK ASSIGNMENTS:

Weekly homeworks to test and reinforce concepts taught in class.

LABORATORY PROJECTS:

1. An example of a modern electronic system: the compact disc player.

2. Introduction to instrumentation.

3. Introduction to error-control coding.

4. Introduction to control systems.

5. Synthesis of sinusoidal signals.

6. Lenses and optical wave guides.

7. Introduction to solid state engineering.

GRADES:

Homeworks – 10%

Labs – 40%

Exams – 50%

COURSE OBJECTIVES: When a student completes this course, s/he should be able to:

1. Have an understanding of the field of electrical engineering and an awareness of the various topics related to this field.

2. Have a basic understanding of linear passive circuits, mixed digital/analog circuits and electronics.

3. Apply basic concepts to digital and analog signal representations and filtering.

4. Have a basic understanding of how a electrical system works overall.

5. Have an exposure to some exciting labs which can relate to some electronic equipment that students see in their day-to-day lives.

ABET CONTENT CATEGORY: 100% Engineering.

Northwestern University Robert R. McCormick School of Engineering
and Applied Science Electrical Engineering and Computer Science Department