Students will understand data structures and develop skills to design and analyze software algorithms. This course is designed for students with foundational programming knowledge. Topics include arrays, trees, dictionaries, sorting, searching, recursion, and graph traversal. Emphasis will be placed on understanding algorithmic efficiency, Big-O notation, and performance trade-offs, equipping students to write efficient code for complex problem-solving. Prerequisites: 110, MATH-261.

Learn the fundamentals of operating systems that are optimized for embedded environments, with a dual focus on the customization of the Linux kernel and the principles of real-time operating systems (RTOS). Configure and enhance the Linux kernel and implement RTOS for deterministic performance in embedded applications. Prerequisite: grade of C or better in 320.