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ENGIN 322

Linear System Theory II

http://www.faculty.umb.edu/tomas_materdey/322s07/

Tomas Materdey

Tomas.Materdey@umb.edu

 Office: S-03-110

Phone: (617) 287-6435

 

 

Course Syllabus

 

 

Objective:              An introduction to probabilistic description via the probability density function or distribution function- and statistical description via the ensemble average, variance, etc- of random signals as applied to the analysis of linear systems. Key topics and concepts also include: conditional probability, statistical independence, correlation, sampling theory, confidence intervals, hypothesis testing, stationary and ergodic processes, autocorrelation and crosscorrelation functions, spectral density, and their interconnections.

 

Activities:              Discussion of the main points in lectures will complement reading assignments (click on Course Syllabus above). Students are encouraged to do the examples with solutions that appear after each section in the text, and to ask and answer themselves many more questions.

 

Textbook:              Probabilistic Methods of Signal and System Analysis, 3rd ed. (required)

                              Cooper and McGillem

                              Oxford; ISBN: 0-19-512354-9

                             

*The textbook is currently available in the campus bookstore.

 

Assessment:          The students can monitor their progress by doing the weekly homework assignments. The weekly problem sets will usually be assigned on Tuesdays and due a week later in class. There’ll be an in-class exam every four weeks, and an accumulative final. The grade distribution will be home-works (15%), exams (45%), and final (40%).

 

Course syllabus:    click here

 

Meeting:                The class meets Tuesdays and Thursdays 10:00-11:15am in room S-3-126.

 

Office hours:          Tuesdays and Thursdays 12-1pm, and other times by appointment