1. Electric Circuit Theory

2.  Lecture Session : 3 hours (2+1) ◦ Day – Time (2 hours): Location ◦ Day – Time (1 hour): Location  Lab /Tutorial Session : NO LAB

3.  Computer Engineering RK20: Dr. MUHAMMAD IMRAN AHMAD (m.imran@unimap.edu.my) ◦ Communication Engineering RK53: PM. Dr. IR. ANUAR B. SAFAR/ Dr. ABDUL RAHMAN KRAM (Coordinator) (rahmankram@unimap.edu.my) ◦ Computer Network Engineering RK93: Dr. Ruzelita Ngadiran/ En. Mohd Elsheikh Elobaid (ruzelita@unimap.edu.my/elshaikh@unimap.edu.my)

4. 1. Introduction To Signals and Systems 2. Time Domain Representation of Linear Time Invariant (LTI) 3. Fourier Representation of Signals and LTI Systems 4. Laplace Transform and LTI Systems 5. Z-transform and Applications

5. EXPLAINAPPLY 1. Ability to EXPLAIN and APPLY the concept of signal and system classifications, impulse response and convolution in both analog and discrete time domain. APPLYANALYZE 2. Ability to APPLY and ANALYZE the concept of Fourier representation of analog and discrete signals and learn about different forms and properties of Fourier transforms, concept of frequency response in analog and discrete systems. APPLYANALYZE 3. Ability to APPLY and ANALYZE the concept of sampling and reconstruction of analog signals, concept of Laplace transform and Z-transform and their applications in the analysis of linear and time-invariant analog and discrete systems. ANALYZEEVALUATE 4. Ability to ANALYZE and EVALUATE LTI systems with random inputs and noise representations.

6. mathematical foundation continuous-timediscrete-time signals  This course develops the mathematical foundation and computational tools for processing continuous-time and discrete-time signals in both time and frequency domains. linear time-invariant systems, impulse response, frequency response, convolution, filtering, sampling, and Fourier transform, Laplace Transform and z-Transform  Key concepts and tools introduced and discussed in this class include linear time-invariant systems, impulse response, frequency response, convolution, filtering, sampling, and Fourier transform, Laplace Transform and z-Transform. signal processingcommunicationscontrol  This course serves as entry and prerequisite for any higher level course in the fields of signal processing, communications, and control.

7. 50%  Final Examination – 50% 20%  Tests (Test I and Test II) – 20% 15%  Assignments– 15% 5%  Quizzes– 15% 100% Total=100%

8. 1. Simon Haykin, Barry Van Veen, “Signals and Systems”, 2nd Ed., Wiley, 2005. 1. Simon Haykin, Barry Van Veen, “Signals and Systems”, 2nd Ed., Wiley, 2005. (Textbook) 2. Samir S. Soliman and Mandyam D. Srinath “Continuous and Discrete Signals and Systems”, Second Edition, Prentice Hall 1998. 3. Charles L. Phillips and John M. Parr, “Signals, Systems and Transforms”, Prentice Hall International, Inc., 1999. 4. J. Robert, “Fundamental of Signals and Systems”, Mc Graw Hill International Ed., 2008. 5. Edward W. Kamen, Bonne S. Heck, “Fundamental of Signals and Systems Using the Web and Matlab”, Pearson Prentice Hall, 2007. 6. MJ Robert, “Signal & System”, Mc Graw Hill, 2003.