writing computer programs in higher level programming languages to solve problems of interest in a range of application domains. This class is intended for students with little experience in computing or programming.

Covers how programs are represented and executed by modern computers, including low level machine representations of programs and data, an understanding of how computer components and the memory hierarchy influence performance.


The basics of computational statistics to prepare students for machine learning and data science.

CSPB 3112 Professional Development Course:

Supports students in developing professional skills and practices in computing, including: preparing for technical and behavioral interviews, professional networking, mastering new technologies not addressed in the curriculum, presenting work, the role of graduate study, and exploring career and research directions.

This course will focus on defining a semester project, creating a portfolio to display work including projects like the one for this course, and for recording and managing the project work.

The student will define the project for the semester. The student will specify the learning objectives and layout the project assessments that will be applied when the project is completed. The project must include weekly progress reports across the entire semester with 3-5 hours of project work per week.

A public webpage such as GitHub User Website will be used as a location to store all project information.

This course covers tools and practices for software development with a strong focus on best practices used in industry and professional development, such as agile methodologies, pair-programming and test-driven design. Students develop web services and applications while learning these methods and tools.

Operating systems are an essential part of every computing system and play a major role in determining the performance and usability of the system. This course is an introductory course covering the fundamental concepts in the design, implementation and evaluation of an operating system. While the field of operating systems has been undergoing rapid change, the fundamental concepts remain firmly clear.  This course covers these fundamental concepts comprised of device management, process management, memory management and network management.