Computer Science

The computer science curriculum, which leads to the bachelor of science in computer science degree, provides an excellent preparation for students seeking careers as software professionals and in computing-related fields, as well for those planning to pursue graduate study. The curriculum builds on a strong foundation in science, mathematics, social sciences, humanities and computer science with advanced course work in theoretical computer science, database systems, and computer networks. Course work ensures that students receive hands-on exposure to a variety of computer systems, tools and techniques. Elective courses allow students to specialize in areas of computer science such as cybersecurity, and artificial intelligence. The curriculum also emphasizes oral and written communication skills, the importance of ethical behavior, and the need for continual, lifelong learning. The overall educational objectives of the Computer Science program are for graduates of the program to attain success in their chosen profession and/or post-undergraduate studies.

Freshman
FallHoursSpringHours
ENGL 1100 English Composition I3ENGL 1120 English Composition II3
Core Science Sequence (Series B, D, H)14Core Science Sequence (Series B, D, H)14
MATH 1610 Calculus I4MATH 1620 Calculus II4
COMP 1210 Fundamentals of Computing I3COMP 2210 Fundamentals of Computing II4
ENGR 1110 Introduction to Engineering2COMP 2240 Discrete Structures3
ENGR 1100 Engineering Orientation0 
 16 18
Sophomore
FallHoursSpringHours
MATH 2660 Topics in Linear Algebra3STAT 3010 Statistics for Engineers and Scientists3
Core History Sequence3Core History Sequence3
ELEC 2200 Digital Logic Circuits3Core Literature3
COMP 2710 Software Construction3Core Social Science Elective3
COMP 2800 Professional Development I1COMP 3270 Introduction to Algorithms3
 13 15
Junior
FallHoursSpringHours
COMM 1000 Public Speaking3PHIL 1020 Introduction to Ethics or 1110 Ethical and Conceptual Foundations of Science3
Math Elective13Free Elective3
Core Fine Arts3COMP 3500 Introduction to Operating Systems3
COMP 3220 Principles of Programming Languages3COMP 3700 Software Modeling and Design3
COMP 3350 Computer Organization and Assembly Language Programming3COMP 4320 Introduction to Computer Networks3
 15 15
Senior
FallHoursSpringHours
Technical Elective19Technical Elective19
COMP 4200 Formal Languages3COMP 4710 Senior Design Project3
COMP 5120 Database Systems I3COMP 4730 Computer Ethics2
COMP 4800 Professional Development II1COMP 4810 Program Assessment0
 UNIV 4AA0 University Graduation0
 16 14
Total Hours: 122
1

Courses for Core Science Sequence, Math Elective, and Technical Elective credit must be chosen in accordance with CSSE department policies and approved course listings. Students must consult with a CSSE Academic Advisor when selecting these courses.

The AU Bulletin lists the University Core Curriculum requirements for students in the College of Engineering.

The course in bold-face are those used to calculate in-major GPA.

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Math electives for the computer science major must be selected from courses designated as MATH or STAT with the following restrictions:

  • MATH 2630 Calculus III and MATH 2650 Linear Differential Equations are each allowed as a math elective.
  • Any other course with the MATH designation must be at the 4000-level or above.
  • All courses with the STAT designation must be at the 3000-level or above.
  • Any mathematics course required by the computer science curriculum will not count as a math elective.

The computer science program requires an 8-hour sequence of natural science course work intended for science and engineering majors. This course work develops an understanding of the scientific method and includes laboratory work.

The science sequence requirement can only be satisfied by Series B, Series D, or Series H below.

Series B

BIOL 1020 Principles of Biology

BIOL 1021 Principles of Biology Laboratory

BIOL 1030 Organismal Biology

BIOL 1031 Organismal Biology Laboratory

Series D 

CHEM 1030 Fundamentals Chemistry I

CHEM 1031 Fundamentals of Chemistry I Lab

CHEM 1040 Fundamental Chemistry II

CHEM 1041 Fundamentals of Chemistry II Lab

Series H

PHYS 1600/1607 Engineering Physics I   

PHYS 1610/1617 Engineering Physics II

 

Technical Elective hours are used to provide breadth and depth of content. The computer science program requires 18 hours of technical elective credit, 9 hours of which must be satisfied with approved COMP courses. The remaining 9 hours can be satisfied with approved COMP courses or with approved courses from allied disciplines. The department maintains a list of approved technical electives for each semester. Students must consult with a CSSE Academic Advisor when selecting these courses.

The overall objective of the computer science program is to prepare graduates who will be successful in their chosen career paths. Within a few years of graduation, alumni of the computer science program will attain:

  • PEO 1: Success in their chosen profession as evidenced by career satisfaction, promotions/raises, and leadership at levels appropriate to their experience.
  • PEO 2: Success in post-undergraduate studies as evidenced by satisfaction with the decision to further their education, advanced degrees earned, and professional visibility (e.g., publications, presentations, awards, etc.).

Graduates of the CSCI program will have an ability to:

CSCI-SO-1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.

CSCI-SO-2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

CSCI-SO-3. Communicate effectively in a variety of professional contexts.

CSCI-SO-4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

CSCI-SO-5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

CSCI-SO-6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

 

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