Bachelor of Science Computer Science Learning Outcomes
- An ability to apply knowledge of computing and mathematics appropriate to the discipline.
- An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
- An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
- An ability to function effectively on teams to accomplish a common goal.
- An understanding of professional, ethical, legal, security and social issues and responsibilities.
- An ability to communicate effectively with a range of audiences.
- An ability to analyze the local and global impact of computing on individuals, organizations, and society.
- Recognition of the need for and an ability to engage in continuing professional development.
- An ability to use current techniques, skills, and tools necessary for computing practice.
- An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
- An ability to apply design and development principles in the construction of software systems of varying complexity.
- An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the trade-offs involved in design choices.
Master of Science Computer Science Learning Outcomes
- Apply theory of computation and advanced level concepts of programming languages to industrial and other large scale projects.
- Use Computer Science research methods including design of efficient algorithms approaches to create and evaluate projects and generate reports.
- Use the software engineering process to develop software that matches the operating system to customer requirements.
- Successfully manage a software project from planning through
- Implementation to evaluation phases and improvement hardware interface management between and among parallel and distributed systems, specifically as it pertains to connectivity and security.
- Design and analysis techniques used to structure and implement industry level applications
- Use of testing and measurement models to examine end product quality.