Lectures

• Mondays and Wednesdays: 14:00 - 15:15

• Location: ARTN-412

Discussion session

• Thursday: 10:00 - 10:45

• Location: GMCS-328

Office hours

• MTW: 16:00 - 17:00 or by email appointments.

Textbook

1. F. M. Dekking, C. Kraaikamp, H. P. Lopuhaa, and L. E. Meester, A Modern Introduction to Probability and Statistics, Springer, 2005.

2. D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers, 7th Ed., Wiley, 2017. (optional)

3. A. Leon-Garcia, Probability, Statistics and Random Processes for Electrical Engineering, Pearson Prentice-Hall, 2008. (optional)

Syllabus

• EE300 Syllabus

Course description

This course examines random signals and events in electrical engineering. Topics include introduction to basic probability; discrete and continuous random variables; joint random variables. Application of probabilistic models and concepts to engineering, data analysis and point estimation using computer-aided engineering tools.

Course objectives

1. Students will be able to explain basic rules of probability and will be able to use them in modeling uncertainly in obtaining and recoding data.

2. Students will be able to apply probabilistic models and methods to engineering problems.

3. Students will be able to interpret statistical characteristics, correlations, confidence intervals, and estimators and their use of prediction and estimation purposes.

4. Students will be able to use computational methods for analysis and graphical presentation of numerical data, using MATLAB.

Intended audience

• Junior students.