Mar 28, 2024  
2015-2016 
    
2015-2016 [ARCHIVED CATALOG]

Computer Science BS


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Program Description


Computer Science prepares students to design and implement innovative computing solutions to real world problems.  Areas of study include (but not limited to) algorithms, software engineering, graphics, artificial intelligence, robotics, databases, theory of computation, networks and Internet technologies. The program emphasizes both theory and practical applications of computing. A degree in Computer Science prepares students for employment in developing and maintaining commercial applications and for graduate studies.

Total Credits: 124


Major: Core Requirements - 60


Major Electives - 15


Chosen from CPTR courses in consultation with an advisor.

Up to 6 credits of the following courses may be substituted for CPTR elective credits if not already counted as cognate.

Cognates: 25-28


Andrews Core Experience - 34


Students must take all courses designated in the Professional Degree Requirements  of the Andrews Core Experience Program while noting the following requirements.

Undergraduate Electives: 5 -7


Program Objectives


Student Outcomes


  1. An ability to apply knowledge of computing and mathematics appropriate to the discipline
  2. An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
  3. An ability to design, implement and evaluate a computer-based system, process, component or program to meet desired needs
  4. An ability to function effectively on teams to accomplish a common goal
  5. An understanding of professional, ethical, legal, security, and social issues and responsibilities
  6. An ability to communicate effectively with a range of audiences
  7. An ability to analyze the local and global impact of computing on individuals, organizations and society
  8. Recognition of the need for, and an ability to engage in, continuing professional development
  9. An ability to use current techniques, skills, and tolls necessary for computing practices
  10. 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 choice
  11. An ability to apply design and development principles in the construction of software systems of varying complexity
  12. A well-rounded, Christ-centered life perspective through the integration of the entire Andrews University curriculum

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