ET 413.1) Explain the different syntax of Verilog HDL language.
ET 413.2) Design combinational circuits using Verilog HDL.
ET 413.3) Design sequential logic circuits using Verilog HDL.
ET 413.4) Describe MOS transistor theory and behavior of E-MOSFET.
ET 413.5) Model combinational logic circuit design using E-MOSFETs.
Course Objective:
1. To introduce students to the fundamental concepts and applications of AI
2. To enable students to apply AI techniques to real-world problems
3. To provide students with hands-on experience in developing AI applications
4. To discuss ethical considerations in AI applications
Course Outcome:
- Summarize fundamentals of AI & overview of AI applications.
- Demonstrate computer vision techniques for image analysis, object detection, recognition, segmentation, pattern recognition and searching algorithms.
- Determine real- world problems related to expert system.
- Illustrate the field of NLP applications such as sentiment analysis, Chabot’s, speech recognition.
- Apply reinforcement learning techniques for different problems.
- Examine advanced AI applications like robotics