Designed 6 unique courses, delivered courses in various modes: face-face, asynchronous-online, synchronous-online, hybrid
3878 distinct students with 8061 letter grades assigned (as of summer 2023)
Blackboard, Canvas, Moodle, Kahoot, Mentimeter, Canva
Course Code | Course Name | Description and Link (Course form) |
---|---|---|
EE491 | Computational Intelligence | To provide a foundation for concepts, models, algorithms, and tools for design and development of intelligent systems: Computational intelligence, neural networks, evolutionary computation, genetic algorithms, fuzzy systems |
EE550 | Special Topics: IoT | IoT (Internet of Things): Architectures, Standards, Devices, Use Cases, Security, Edge-Fog Computing, Analytics, Future Trends |
MA201 | Differential Equations (in summer terms) | Goals: 1. To introduce the basic concepts required to understand , solve and interpret differential equations. 2. To teach methods to solve differential equations of various types. 3. To give an ability to use knowledge of mathematics in engineering problems. |
Full List of Courses Offered
Undergraduate: Engineering Guide and Ethics, Electronic Circuit Components, Electronic Circuits, Electronic Circuits Laboratory I-II, Computational Intelligence, Database Management Systems, Programming with PL/SQL, Software Engineering, Database Application Development, Calculus I-II, Differential Equations, Information Technology, Numerical Analysis, Advanced Digital Design, Computer Architecture.
Graduate: Web Services, Business Intelligence and Data Warehouses, Application Development for SOA, Database Design and Management, Advanced Computational Intelligence, Neural Networks and Fuzzy Systems, Special Topics in Electrical-Electronics Engineering: IoT; Research Methods, Research Methods and Scientific Ethics
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