Stream List

No. Course Syllabus Reference Books  
1 Introduction to Biomedical Engineering Carr, Brown, J. M., Brown, J. M., & Brown, J. M. (John M. (2001). Introduction to biomedical equipment technology (4th ed.). Prentice Hall.  
Webster (Ed.). (2020). Medical instrumentation : application and design (Fifth edition.). Wiley.  
2 Power Electronics “Power Electronics: Converters, Applications, and Design“, Mohan / Undeland / Robbins , Wiley .  
“Power Electronics: Circuits, Devices, and Applications “ , M. H. Rashid , Prentice-Hall International   
3 Power Systems Analysis “Power System Analysis: Analysis and Design”,
John Grainger, William Stevenson
 
 
4 Analog Integrated Circuit Design Behzad Razavi, “Design of Analog CMOS Integrated Circuits”, 2nd Edition, Mc Graw Hill.  
5 Principles of Communication Systems J. G. Proakis, M. Salehi, “Fundamentals of Communication Systems”, 2nd Ed., Pearson Education, 2013  
6 Radio Frequency and Microwave Techniques for Wireless Systems R. Ludwig and P. Bretchko, RF Circuit Design Theory and Applications, Prentice-Hall, 2000.  
Ariel Luzzatto and Motti Haridim, Wireless Transceiver Design: Mastering the Design of Modern Wireless Equipment and Systems, 2nd ed., Wiley.  
7 Linear Algebra, Probability and Statistics for Electrical and Computer Engineering Elementary Linear Algebra, H. Anton & C. Rorres, Wiley; 10th edition (2010)  
8 Circuit Analysis Introduction to Electric Circuits, 9th edition, Wiley Press, J. Svoboda and R. C. Dorf.  
9 Control Systems R.C. Dorf and R.H. Bishop, Modern Control Systems, 13th ed., Pearson, 2017. (Textbook)  
G.F. Franklin, J.D. Powell and A. Emami-Naeini, Feedback Control of Dynamic Systems, 8th ed., Pearson, 2019. (Reference)  
10 Electromagnetism Fawwaz T. Ulaby & Umberto Ravaioli “Fundamentals of Applied Electromagnetics” 7th Ed. Pearson @2015, ISBN-13: 978-0-13-335681-6 or 8th Ed. @2020  
William Hayt and John Buck, “Engineering Electromagnetics” 8th Ed. McGraw-Hill Education @2012 or 9th Ed@2018 ISBN-13: ‎ 978-1260084566  
11 Data Analysis for Electrical and Computer Engineering The Elements of Statistical Learning -Data Mining, Inference, and Prediction, Trevor Hastie, Robert Tibshirani,  Jerome Friedman, Springer New York, 2013  

 

Remark

The student is required to choose from at least three different streams defined by the student’s Ph.D. supervisor or Ph.D. supervised committee

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