Regardless of the type of biological system, interaction or communication with them are done through biosignals. Biological signals are usually encoded into variations of electrical, chemical, or mechanical energy. These characteristics of these signals are of great importance. This course will address the signal processing and linear systems. In this course you will be introduced to the analysis of biological system dynamics, Frequency transformation, circuit and analogy analysis, Laplace transform of the first order and second order system. The advanced numerical algorithm to solve the dynamic system also will be emphasized in the class.
 
 

Lecture/Recitations:	Tuesday and Thursday, as follows: Room SEO 236 330-445 p.m.
Instructor:	Prof. Andreas A. Linninger  SEO Room 205, Email: linninge@uic.edu.
Teaching Assistant:	Sukhi Basati Room SEO 4052E, Email: sbasat1@uic.edu Tel. 5-2520 Office Hours, TBA
Prerequisites:	Math 220, BioS 100

Grading:

1. Midterms (30%)
2. Project Assignments (40%)
3. Final Exam (20%)
4. Class participation (10%)

• MATLAB: general purpose system analysis and specialized control features, e.g. root locus

• Recommended Text:

"Circuits, Signals and Systems for Bioengineers: A Matlab-based Introduction ”, John L. Semmlow, Elsevier Academic Press, 2005;
 
• Additional Reading:

"Process Dynamics and Control", D. Seborg, T. Edgar, D. Mellichamp, J. Wiley and Sons, 1989.
"Process Dynamics, Modeling, and Control", B. Ogunnaike and W. Ray, Oxford University Press, 1994
"Applied Numerical Analysis Using MATLAB", Second Edition, Laurene V. Fausett, Pearson Prentice Hall,2007