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ECE-383

ECE-383: Communications Engineering I
Spring 2009, TR-11:00-12:15, BW-123

Course description: This course introduces the fundamental concepts of signal transmission in communications systems based on probability theory and random processes. It presents the mathematical tools used to analyze and interpret random events occurring in natural phenomena, games, sciences, and engineering. Specifically, practical examples from digital communications systems will be studied in depth.

References:

• Sheldon Ross, A First Course in Probability, 8th ed., Prentice-Hall
• R.D. Yates et al., Probability and Stochastic Processes, John Wiley & Sons

Content:

• Combinatorial Analysis
• Theory of Probability
• Conditional Probability
• Random Variables (Discrete/Continuous)
• Joint Distributions
• Expected Value and Moments
• Limit Theorems
• Stochastic Processes
• Random Signal Processing
• Digital Communications Principles
• Coding, Modulation and Channel models

Grading Scheme:
Students’ performance is evaluated with homework, quiz, a midterm, and a final exam.

Homework     10%
Quiz              10%
Midterm         30%
Final exam    50%

Each quiz will be a short problem selected from the previous set of homework. If the student fails both midterm and final, the homework/quiz will count for 0%.

Prerequisite:

• At least a C- in ECE 314

Disability statement:

Students with disabilities who may need services or accommodations to fully participate in this class should contact Ann Smith, Director of Disability Services in 121 East Annex, (voice) 581-2319, (TTY) 581-2325 as early as possible in the semester.