Introduction of Soft-computing tools - Neural Networks, Fuzzy Logic, Genetic Algorithm, and Probabilistic Reasoning; Neural network approaches in engineering analysis, design, and diagnostics problems; Applications of Fuzzy Logic concepts in Engineering Problems; Engineering optimization problem-solving using genetic algorithm; applications of probabilistic reasoning approaches.

1. Basic signals and systems in Matlab/ Python
2. Spectral analysis and filtering - simulations in Matlab/ Python
3. Simulation of baseband communication systems - study of line coding and its rate, bandwidth properties. Study of bit error rate
4. Simulation of passband communication systems - study of different constellations and its rate, bandwidth properties. Simulation of correlation receiver.Study of bit error rate.
5. Simulation of bandlimited channels and intersymbol interference.

1. Network traffic capture and analysis
2. Application layer network traffic and content analysis (DNS,HTTP,etc.)
3. Connection-less and Connection-oriented sessions
4. Client-server socket programming for UDP
5. Client-server socket programming for TCP
6. TCP-connection establishment analysis
7. TCP-congestion contro land flow control analysis
8. Iterative and concurrent server implementation study
9. Network layer and routing protocols
10. Queuing theory simulation study
11. MAClayer experiments
12. Network simulator study