Session 1: Introduction to Python Programming
13 NOVEMBER 2023, 11:00 - 12:30 // EASTERN STANDARD TIME (EST)
The Python training session aims to provide compact yet comprehensive Python programming for beginners. Participants will gain fundamental knowledge of Python syntax, data structures, control structures, and modular programming, setting them on the path to further exploration and mastery of the language.
Session 2: Introduction to NumPy and SciPy for Electrical Engineers
14 NOVEMBER 2023, 11:00 - 12:30 // EASTERN STANDARD TIME (EST)
This session is designed to give electrical engineers a quick but comprehensive introduction to NumPy and SciPy, two powerful libraries for scientific and data-driven computing in Python. It will enable participants to apply these tools to solve electrical engineering problems and encourage further exploration of these libraries in their work.
Session 3: Introduction to Hardware Verification Using Python
15 NOVEMBER 2023, 11:00 - 12:30 // EASTERN STANDARD TIME (EST)
This session aims to provide participants with a foundational understanding of hardware verification using Python. Participants will leave with knowledge and skills to start working on hardware verification projects, incorporating Python for testing, scripting, and automation.
Semih Aslan, EE Program Coordinator & Associate Professor, Ingram School of Engineering, Texas State University
Dr. Semih Aslan, an accomplished academic and professional, currently serves as an Associate Professor and the Electrical Engineering Program Coordinator within the Ingram School of Engineering. His extensive career includes a significant role as a Senior FPGA Design Engineer in the Motorola LTE Division and a post-doctoral researcher at the Illinois Institute of Technology. Dr. Aslan worked with minority students for over ten years as a full-time instructor on the west side of Chicago. Furthermore, he holds the distinction of being the founding director of the esteemed System Modeling and Renewable Technology (SMART) Lab, an integral part of the Ingram School of Engineering at Texas State University. Dr. Aslan's distinguished research pursuits encompass a wide spectrum of vital areas, including but not limited to renewable energy, sensor modeling, signal conditioning, embedded systems, Machine Learning, and hardware optimization.