Learn optimization and simulation methods including linear optimization, Monte Carlo, and discrete event simulation. Apply modeling to business problems to recommend possible actions toward a solution. Prerequisite: MATH-230 or equivalent and three credits of intro to programming course.

This graduate-level course introduces fundamental principles and practices in embedded systems design and builds upon these principles to study the interaction of computer systems (CPU, memory) and interfacing with those systems. The course covers microcontroller/microprocessor architecture, real-time operating systems (RTOS), hardware/software co-design, system-on-chip (SoC) architectures, and interfacing with peripherals. Prerequisite: three credits of introductory programming and a discrete math course.

Explore metacognitive strategies to better understand how you learn, reflect on problem-solving approaches, and build habits for lifelong learning in technical fields. Develop an applied understanding of precalculus, linear algebra, spatial reasoning, and calculus.

Course includes both lecture and lab components per week. Practice innovation by designing and building solutions subject to physical constraints. Explore the creative side of problem solving, learn the fundamentals of the design process, and strengthen solutions by working in teams. Sharpen real-world presentation skills by giving pitches to "customers". AE

This course provides an in-depth study of database management and design and considers how databases interact with software applications. Tools used to organize, maintain, and safeguard large volumes of data are presented. Students will study database structures, data modeling, and structured query languages (SQL). Prerequisite: grade of C or higher in 110.

Learn the basics of microcontroller internal architecture, functions and applications. Apply input/output interface protocols and debugging to create devices that can run independently. Analyze Low-level data operations, effective memory allocation, management strategies, resource utilization optimization, performance and reliability. This course develops a solid foundation of C programming, emphasizing its application in developing embedded systems. Prerequisites: grade of C or better in 110, MATH-261.

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.

Students will participate in an off-campus computer science internship, applying course knowledge and skills to problems within a work environment. Internship placements must be established prior to enrollment in the course in consultation with career services and a computer science faculty member. May be repeated for credit. Permission of instructor required. Graded CR/NC. Prerequisite: 310.

An overview of computer science principles, introducing students to the fundamentals of how computers and software operate. The course includes a study of the underlying structures of computer systems and programming basics, concentrating on programming control structure. Object-oriented ways of thinking are introduced.