Program Description

Computer science focuses on problem solving with a particular emphasis on the design of computer-efficient solutions. Within a few years of obtaining a bachelor's degree alumni will have:

Engaged in successful careers in diverse areas of software development and will be pursuing advanced education in computer science or related fields;
Applied the full range of core computer science concepts and techniques to fill software development needs of an organization;
Adapted to changing directions of computing technology and used state-of-the-art techniques to confront new problems effectively;
Navigated the complex interconnections between software and the goals and constraints of the organization served;
Participated responsibly in the pervasive and changing role of computing technology in global society as both software engineers and citizens;
Operated collaboratively in a team environment and assumed leadership roles.

The B.S. in computer science program is accredited by the:

Computing Accreditation Commission of ABET
111 Market Place
Suite 1050
Baltimore, MD 21202-4012
(410) 347-7700

Recommened Plan of Study

Plan of Study Grid
First Year
Fall		Credits
CS 400	Introduction to Computing	1
IT 403	Introduction to Internet Technologies	4
CS 415	Introduction to Computer Science I	4
MATH 425	Calculus I	4
Other Requirements		4
	Credits	17
Spring
CS 416	Introduction to Computer Science II	4
MATH 426	Calculus II	4
ENGL 401	First-Year Writing	4
ECE 543	Introduction to Digital Systems	4
	Credits	16
Second Year
Fall
CS 515	Data Structures and Introduction to Algorithms	4
MATH 531	Mathematical Proof	4
ECE 562	Computer Organization	4
Other Requirements		4
	Credits	16
Spring
CS 520	Assembly Language Programming and Machine Organization	4
CS 659	Introduction to the Theory of Computation	4
Other Requirements		8
	Credits	16
Third Year
Fall
CS 620	Operating System Fundamentals	4
CS 671	Programming Language Concepts and Features	4
MATH 539 or MATH 644	Introduction to Statistical Analysis or Statistics for Engineers and Scientists	4
Other Requirements		4
	Credits	16
Spring
CS 619	Introduction to Object-Oriented Design and Development	4
CS 758	Algorithms	4
CS 700 level elective		4
Other Requirements		4
	Credits	16
Fourth Year
Fall
CS 791	Senior Project I	2
CS 700-level electives		8
Professional Electives		7
	Credits	17
Spring
CS 792	Senior Project II	2
CS 700 elective		4
Professional Elective		4
Other Requirements		4
	Credits	14
	Total Credits	128

Requirements for the Program

Computer science majors must complete the following coursework in computer science, mathematics, computer engineering, and science. (all courses are 4 credits unless indicated otherwise):

Course List
Code	Title	Credits
Computer Science Courses
Select one of the following:
CS 415 & CS 416	Introduction to Computer Science I and Introduction to Computer Science II	8
or CS 414 & CS 417	From Problems to Algorithms to Programs and From Programs to Computer Science
or CS 410 & CS 417	Introduction to Scientific Programming and From Programs to Computer Science
CS 400	Introduction to Computing	1
IT 403	Introduction to Internet Technologies	4
CS 501	Professional Ethics and Communication in Technology-related Fields	4
CS 515	Data Structures and Introduction to Algorithms	4
CS 520	Assembly Language Programming and Machine Organization	4
CS 619	Introduction to Object-Oriented Design and Development	4
CS 620	Operating System Fundamentals	4
CS 659	Introduction to the Theory of Computation	4
CS 671	Programming Language Concepts and Features	4
CS 758	Algorithms	4
Computer Science Electives:
Select one course from the following implementation electives:		4
CS 712	Compiler Design
CS 730	Introduction to Artificial Intelligence
CS 735	Introduction to Parallel and Distributed Programming
CS 770	Computer Graphics
Select one course from the following theory electives:		4
CS 723	Performance Evaluation of Computer Systems
CS 745	Formal Specifications and Verification of Software Systems
CS 750	Machine Learning
CS 757	Mathematical Optimization for Applications
Select two additional CS courses numbered 690-799 as general electives		8
Professional Electives ¹
Select two courses from the following:		7-8
CS 700-level course
IT 604	Server-side Web Development
IT 605	Client-side Web Development
IT 612	Scripting Languages
IT 630	Data Science and Analytics
IT 666	Computer Security
IT 705	Project Management for Information Technology
IT 780	Topics in Information Technology
MATH 525	Linearity I
MATH 526	Linearity II
MATH 527	Differential Equations with Linear Algebra
MATH 528	Multidimensional Calculus
MATH 545	Introduction to Linear Algebra
MATH 645	Linear Algebra for Applications
MATH 647	Complex Analysis for Applications
MATH 656	Introduction to Number Theory
MATH 658	Topics in Geometry
MATH 736	Advanced Statistical Methods for Research
MATH 737	Statistical Methods for Quality Improvement and Design
MATH 739	Applied Regression Analysis
MATH 740	Design of Experiments I
MATH 741	Survival Analysis
MATH 743	Time Series Analysis
MATH 744	Design of Experiments II
MATH 745	Foundations of Applied Mathematics I
MATH 746	Foundations of Applied Mathematics II
MATH 747	Introduction to Nonlinear Dynamics and Chaos
MATH 753	Introduction to Numerical Methods I
MATH 755	Probability with Applications
MATH 756	Principles of Statistical Inference
MATH 760	Geometry
MATH 761	Abstract Algebra
MATH 762	Linear Algebra
MATH 767	One-Dimensional Real Analysis
MATH 776	Logic
MATH 783	Set Theory
MATH 784	Topology
MATH 788	Complex Analysis
ECE 649	Embedded Microcomputer Based Design
ECE 700 level course
ENGL 502	Professional and Technical Writing
GEN 604	Principles of Genetics
GEN 711	Genomics and Bioinformatics
Senior Capstone Experience:
CS 791	Senior Project I	2
CS 792	Senior Project II	2
Mathematics Courses
MATH 425	Calculus I	4
MATH 426	Calculus II	4
MATH 531	Mathematical Proof	4
MATH 539	Introduction to Statistical Analysis	4
or MATH 644	Statistics for Engineers and Scientists
Electrical and Computer Engineering courses
ECE 543	Introduction to Digital Systems	4
ECE 562	Computer Organization	4
Science courses ²
One Discovery Biological Science (BS) with Discovery Lab		4
One Discovery Physical Science (PS) with Discovery Lab		4
Other Courses
Discovery requirements not already covered by required courses ³
Total Credits		104-105

Professional electives must either be chosen from the list of approved courses or another non-introductory CEPS course with significant science and/or engineering focus approved on a per-course basis by the undergraduate studies committee.

Courses must carry the Discovery attributes of Biological Science or Physical Science and include Discovery lab (DLAB).

One of these courses must be writing intensive.

Computer science majors must maintain an overall grade-point average of 2.0 or better in all required computer science, mathematics, and computer engineering courses in order to graduate. If at the end of any semester, including the first, a student's cumulative grade-point average in these courses falls below 2.0, the student may not be allowed to continue as a CS major.

The following courses must be passed with a grade of C- or better: CS 410, CS 414, CS 415, CS 416, CS 417, CS 515, CS 520, IT 403

If a student wishing to transfer into the computer science major has any coursework that is applicable to the major, the grades in those courses must satisfy the minimum grade requirements for the B.S. degree in computer science. The student must have an overall grade-point average of 2.0 or better in all courses taken at the university.