- To help persons discover”: Computer science is skill-oriented. Individuals only grow when they actively participate in the application of knowledge. We are committed to providing a variety of active learning experiences.
- “Whether they have the ability and interest in computing”: The rapid advancement of computing creates a broad spectrum of novel opportunities and roles for computer scientists in our society. We are committed to providing a rich environment that allows individuals to find a niche in this spectrum suited to their aptitudes and interests.
- “And to empower those who do”: Empowerment implies knowledge of the machines, algorithms and applications already developed so our students can build on the work of their predecessors. To apply a computer to a problem is a practical matter, not just a theoretical one. Because of the complexity of the systems that are being created, empowerment implies the ability to manage persons, time and other resources to accomplish such goals within allocated means.
- “To extend the application of computers”: By extending is meant not just any use of computers, but some use that claims new ground. For example, entering data into a spreadsheet does not extend the use of computers, while setting up a spreadsheet to perform a customized data analysis extends the application of computers to that particular problem. Stronger examples would include developing applications, even extending the concept of computing itself, to open previously unknown application domains. Computing professionals must be leaders in the development of computing and the application of computing to new problems.
- “To the problems of society”: A wide-ranging liberal education is particularly valuable for computer scientists, since often their task is to apply computing to a problem domain in some other discipline, or even more frequently, across several disciplines at once. The ability to communicate with experts in a broad range of social and scientific disciplines is critical. Our efforts flourish in the context of the wider university, and are particularly needful of integration with other departments. We therefore participate as computer scientists in the application of computing to the research of our colleagues, and as educators in maintaining, designing and implementing the wider mission of the university.
| Required Courses | Credit Hours |
| General Education1 | 41 |
| Quantitative requirement (in addition to General Education) | 3 |
| Major requirements (listed below) | 49-51 |
| University electives | 21-27 |
120 |
|
| 1 The General Education program contains a set of requirements each student must fulfill. The number of credit hours necessary to fulfill these requirements may vary. | |
Credit Hours |
|
| CS/MATH 227. Discrete Structures I | 3 |
| CS/MATH 228. Discrete Structures II | 3 |
| CS 239. Advanced Computer Programming (CS 139 or equivalent is a prerequisite for CS 239) | 4 |
| CS 240. Algorithms and Data Structures | 3 |
| CS 345. Software Engineering | 3 |
| CS 350. Computer Organization | 3 |
| CS 430. Programming Languages | 3 |
| CS 450. Operating Systems | 3 |
| CS 460. Local Area Networks | 6 |
| CS 474. Database Design and Applications | 3 |
| Computer Science electives above CS 300 | 9 |
| TSC 210. Technical and Scientific Communication | 3 |
| Choose one of the following: | 3-4 |
| MATH 205. Introductory Calculus I | |
| MATH 231. Calculus with Function I | |
| MATH 235. Calculus I | |
| Choose one of the following statistics courses: | 3-4 |
| MATH 220. Elementary Statistics | |
| MATH 318. Introduction to Probability and Statistics |
The credit/no-credit option may not be applied to any courses specifically listed above, nor may that option be applied to Computer Science electives. Students must achieve a cumulative grade point average of 2.0 or better in all courses used to satisfy the above requirements.
- Dr. Elizabeth Adams, Minor Adviser
Credit Hours |
|
| CS 139. Algorithm Development | 4 |
| CS 239. Advanced Computer Programming | 4 |
| Choose one of the following: | 3 |
| CS 345. Software Engineering | |
| CS 350. Computer Organization | |
| Choose three of the following: | 9 |
| CS 240. Algorithms and Data Structures | |
| CS 252. Discrete Structures or CS/MATH 228. Discrete Structures II | |
| Computer Science courses above CS 300 | |
20 |
|
- Dr. Malcolm Lane, Minor Adviser