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Computer Science

Degree Requirements

BACHELOR OF ARTS
Computer Science Major

Twelve courses including:

CSC 160 Introduction to Computer Science and Communication
CSC 170 Introduction to Programming
CSC 210 Data Structures
CSC 240 Introduction to Networking and Communications
CSC 320 Algorithms
CSC 345 Principles of Computer Organization
CSC 385 Introduction to Formal Logic and Computation Theory
CSC 450 Programming Languages and Compilers I
CSC 451 Programming Languages and Compilers II
MAT 114 Precalculus (or MPG 4)
MAT 171 Discrete Mathematics for Computing (recommended) or MAT 145 Calculus I

and two electives from

CSC courses above 200
PHY 261 Electronics
MIS 475 Systems Analysis and Design
MAT 355 Numerical Mathematics

At least one elective must be an upper division course.

The Critical Thinking (CT) and Writing (W) graduation skills are embedded throughout the offered courses and met by completing the major. Consult your academic adviser for requirements for meeting the Quantitative Reasoning (QR) graduation skill. The graduation skill in Speaking (S) is met by:

a) COM 111 or 115 (115 recommended), or
b) A sequence of courses and presentations approved in consultation with the Computer Science Department.

Consult your academic adviser for details.

Transfer students must consult an adviser about potential adjustments to their course requirements to fulfill each of these skills.

BACHELOR OF SCIENCE
Computer Science Major

Sixteen courses including:

CSC 160 Introduction to Computer Science and Communication
CSC 170 Introduction to Programming
CSC 210 Data Structures
CSC 240 Introduction to Networking and Communications
CSC 320 Algorithms
CSC 345 Principles of Computer Organization
CSC 385 Introduction to Formal Logic and Computation Theory
CSC 450 Programming Languages and Compilers I
CSC 451 Programming Languages and Compilers II
MAT 145 Calculus I
MAT 146 Calculus II

Two courses from:

MAT 245 Calculus III
MAT 246 Linear Algebra
MAT 247 Modeling and Differential Equations
MAT 271 Discrete Mathematical Structures (recommended)

and three electives from:

CSC courses above 200
PHY 261 Electronics
MIS 475 Systems Analysis and Design
MAT 355 Numerical Mathematics

At least two electives must be upper division courses.

The Critical Thinking (CT) and Writing (W) graduation skills are embedded throughout the offered courses and are met by completing the major. Consult your academic adviser for requirements for meeting the Quantitative Reasoning (QR) graduation skill. The graduation skill in Speaking (S) is met by:

a) COM 111 or 115 (115 recommended), or
b) A sequence of courses and presentations approved in consultation with the computer science department. Consult your academic adviser for details.

Transfer students must consult an adviser about potential adjustments to their course requirements to fulfill each of these skills.

Computational Economics
The computational economics major has been designed to serve students with need for some basic understanding of computer science and economics. The major requires six courses from computer science, six from economics, and a required capstone independent study. Students interested in this major should consult with the faculty in computer science, in economics, or one of the coordinators.

Coordinators Jeanne Boeh, Department of Economics, Charles Sheaffer, Department of Computer Science Major in Computational Economics

Major in Computational Economics
Thirteen courses including:

MAT 145 Calculus I
CSC 160 Introduction to Computer Science and Communication
CSC 170 Introduction to Programming
CSC 210 Data Structures
CSC 240 Introduction to Networking and Communications or CSC 320 Algorithms or CSC 352 Database Management and Design
CSC 345 Principles of Computer Organization
ECO 112 Principles of Macroeconomics
ECO 113 Principles of Microeconomics
ECO 312 Intermediate Macroeconomics
ECO 313 Intermediate Microeconomics
ECO 318 Management Science
ECO 315 Money and Banking or EC0 415 Managerial Economics
CSC 499 Independent Study or ECO 499 Independent Study

Graduation skills in Critical Thinking (CT), Speaking (S), and Writing (W) are embedded throughout the offered courses and are met by completing the major. Consult your department chair or academic adviser for requirements for meeting the Quantitative Reasoning (QR) graduation skill.

Transfer students must consult an adviser about potential adjustments to their course requirements to fulfill each of these skills.

Computational Philosophy
Computational philosophy emphasizes areas of interest in which philosophy and computer science overlap: logic, artificial intelligence, cognitive science, philosophy of mind, and philosophy of language. The major requires seven courses from computer science, six from philosophy, and a required capstone topics course. Students interested in this major should consult with the faculty in computer science, in philosophy, or one of the coordinators.

Coordinators David Apolloni, Department of Philosophy, Charles Sheaffer, Department of Computer Science

Major in Computational Philosophy

Major in Computational Philosophy
Fourteen courses including:

MAT 171 Discrete Mathematics for Computing or MAT 145 Calculus I
CSC 160 Introduction to Computer Science and Communication
CSC 170 Introduction to Programming
CSC 210 Data Structures
CSC 320 Algorithms
CSC 373 Symbolic Programming and Artificial Intelligence
CSC 385 Introduction to Formal Logic and Computation Theory
PHI 241 History of Philosophy I: Ancient Greek Philosophy
PHI 242 History of Philosophy II: Medieval and Renaissance Philosophy
PHI 343 History of Philosophy III: Early Modern and 19th Century Philosophy
PHI 344 History of Philosophy IV: 20th Century Philosophy
PHI 365 Philosophy of Science
PHI 410 Topics in Philosophy or CSC 495 Advanced Topics in Computer Science
One upper division elective in philosophy

Transfer students must consult an adviser about potential adjustments to their course requirements to fulfill each of these skills. Departmental Honors GPA of 3.50 in computer science major courses, GPA of 3.10 overall, and an independent study project.

Departmental Honors
GPA of 3.50 in computer science major courses, GPA of 3.10 overall, and an independent study project.

Computer Science Minor
Six courses including CSC 160, 170, 210, 345, one additional upper division computer science course, and one of MAT 171 or MAT 145. A course must be completed with a grade of 2.0 or higher to be counted as completing a major requirement. A course must also be completed with a grade of 2.0 or higher to count as a prerequisite for a subsequent computer science course.