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EE 1311. COMPUTING SYSTEM AND ALGORITHMIC SOLUTIONS. 3 Hours.

This course focuses on algorithmic problem solving and implementation of the algorithm using C or Python Programming Language. Fundamental concepts covered in this course include computing system architecture, operating systems, program execution, algorithm and flowchart, data structure, numerical methods, and hardware interfacing. Prerequisite: Grade C or better in MATH 1426 (or concurrent enrollment).

Bachelor of Science in Electrical Engineering

https://catalog.uta.edu/engineering/electrical/undergraduate/electrical-engr-bs/
Electrical Engineering is a cross-cutting field that includes power systems, control systems, microelectronics and nanoelectronics, embedded systems and computer networks, communications (wireless, including cellular and satellite, and wired/fiber optic), remote sensing, signal and data processing, optics (electro-optics, optoelectronics and photonics) and other emerging technologies. Modern applications include renewable energy sources and microgrids, 4G and 5G cellular phones and base stations, Internet of Things (IoT), machine learning, deep learning (such as neural networks), medical devices and instruments, electric vehicles, vehicular networking, and assisted/autonomous vehicles (including drones and robots), and many others.