Computer Science
In keeping with the fast-growing computer science industry, Computer Science programs are designed to prepare students for an industrial, business, or governmental career. CLU offers majors and minors in both computer science and computer information systems, and certificates in information technology and information systems.
Included in the computer science facility are the PC laboratories, a study area for majors, and electronic classrooms with large screen projection systems for lectures, as well as faculty offices. Small classes allow faculty members to provide individualized attention to students and their projects and research.
The department also maintains an experimental networking lab, which runs various network operating systems. The department is fully connected to the Internet and every lab PC or workstation has complete Internet access.
CLU computer science graduates often pursue careers that utilize their skills in software and hardware development, programming, computer use in businesses, computer engineering and education.
Graduates of CLU’s computer science program are working at:
- Disney
- J.D. Power & Associates
- Teradyne
- Litton Industries
- aerospace contractors
- Big Eight accounting firms.
Computer science students are in demand and CLU’s graduates enjoy a high rate of placement in jobs or graduate schools.
CLU also offers a Master of Science in Computer Science and a Five Year BS/MS in Computer Science.
Bachelor of Science in Computer Science
48 credits minimum, 36 credits upper division
CSC 210 | Introduction to Computer Programming | 4 |
CSC 220 | Advanced Computer Programming | 4 |
CSC 335 | Software Engineering | 4 |
CSC 340 | Operating Systems | 4 |
CSC 350 | Introduction to Data Communications and Networks | 4 |
CSC 499 | Capstone | 4 |
MATH 241 | Discrete Mathematics | 4 |
Additional Computer Science credits | 20 | |
Total Hours | 48 |
Recommended supporting courses
ART 380 | Computer Graphics | 3 |
ART 480 | Advanced Computer Graphics | 3 |
MATH 231 | Biostatistics | 4 |
MATH 251 | Calculus I | 4 |
MULT 100 | Introduction to Multimedia | 4 |
Total Hours | 18 |
Certificate in Information Technology
32 credits, 20 credits upper division. GPA 2.25 or higher.
CSC 210 | Introduction to Computer Programming | 4 |
CSC 220 | Advanced Computer Programming | 4 |
CSC 335 | Software Engineering | 4 |
CSC 340 | Operating Systems | 4 |
CSC 350 | Introduction to Data Communications and Networks | 4 |
MATH 241 | Discrete Mathematics | 4 |
Additional Upper Division Computer Science Credits | 8 | |
Total Hours | 32 |
Minor in Computer Science
20 credits minimum, 12 credits upper division.
Please note that CSC-210 is the official beginning course for Computer Science and Computer Information Systems majors and minors. To be eligible for registering CSC-210, students are expected to successfully complete CSC110 or pass the CSC110 placement test (passing score is 80/100).
Five-Year Bachelor of Science/Master of Science Program in Computer Science
The Five-Year B.S./M.S. Computer Science Program is a challenging academic program for our most accomplished students. The program allows participants to obtain both a Bachelor of Science in Computer Science/Computer Information Systems and a Master of Science in Computer Science in five years. Participants are granted conditional admission and allowed to take graduate courses in computer science during their senior year, which can be used toward satisfying their M.S. degree requirements.
- Admission Requirements
- Students must submit application by spring semester of the junior year.
- Students should complete all General Education requirements by the end of the junior year.
- Students should complete at least 40 credits toward the Major Requirements for B.S. in CS/CIS before spring semester of the senior year.
- Students who are enrolling in graduate courses must be within 12 credits of completing a B.S. in CS or CIS.
- Students’ GPA in Computer Science undergraduate courses must be at least 3.2.
- Admission is granted or denied before the spring semester of senior year.
- All B.S. in CS/CIS requirements must be met by the end of the fourth year, and an application for degree should be filed to receive the B.S. in CS/CIS.
- Graduate status is attained after all B.S. requirements have been met.
- Other Program Requirements
- During the senior year, students should take 8 units of graduate Computer Science courses.
- Graduate courses taken in the senior year will count for graduate credit and can not be used to satisfy the B.S. requirements.
- Any graduate courses taken prior to admission into the program can not count toward the M.S.C.S requirements.
Courses
Lower Division
CSC 102. Introduction to Computers. (4).
A first course intended for novice computer users
that introduces microcomputers, word processing,
spreadsheets, selected computer applications
software and Internet utilities. In addition, the
student learns the proper use of various computer
peripherals including diskette drives, mice,
keyboards, scanner and advanced digital devices.
CSC 110. Concepts of Programming. (4).
Introduction of logic concepts in programming.
Breadth approach to essential elements of
computer programming. Text based operating
systems such as DOS will be discussed. Topics
covered are problem solving concepts, computer
systems, disk operating systems, computer
programming languages, programming fundamentals,
testing and debugging, conditions and branching,
loops, flowcharts, compound statements,
non-compound statements, top-down program design.
CSC 205. Programming for Scientists. (4).
This course introduces the principles of computer
programming, problem-solving methods, and
algorithm development from a scientific
perspective. The programming languages covered
are C (a compiled language popular among
engineers and mathematicians), and Perl (a
scripting language popular among bioengineers)
both in wide use in scientific fields. Also
covered are introductory software engineering
techniques and tools necessary to convert a
functional specification to a properly
functioning program. Examples and assignments
will be drawn from the natural sciences. (Cross
listed with SCI 205).
CSC 210. Introduction to Computer Programming. (4).
First-semester computer programming course. This
course introduces the principles of computer
science, problem-solving methods and algorithm
development using a high-level language. This is
a programming class primarily for computer
science, computer information systems,
mathematics, and science majors. The ability to
use a computer is essential. Prerequisites:
CSC 110 or permission of instructor,
MATH 110 or equivalent.
CSC 220. Advanced Computer Programming. (4).
A second-semester computer programming course.
This course takes a state-of-the-art approach to
software design/development with object-oriented
techniques. Topics include algorithm analysis,
string processing, internal search/sort methods,
complex data structures, design strategies, and
code reusability. Prerequisite: CSC 210.
Upper Division
CSC 300. Visual Programming. (4).
Advanced programming course which focuses on the
design of visual user-interface in the Windows
environment. Topics include basic forms, simple
structures, variables, control mechanism, types
and expressions, complex data structure, looping,
functions, procedures, selections, multiple
forms, files and arrays. Prerequisite: CSC 210.
CSC 310. Algorithms. (4).
Continues the study of the design and analysis of
algorithms, particularly those handling complex
data structures and non-numeric processes.
Includes an introduction to algorithm design
techniques, algorithm verification and the impact
of parallel computation on algorithms, operating
systems and architectures. A brief introduction
is given to artificial intelligence focusing on
data representation and heuristic search methods.
Prerequisites: CSC 210, MATH 241.
CSC 315. Object-Oriented Design and Analysis. (4).
Discusses the features and advantages of an
object-oriented approach to problem solving.
Topics include abstraction, inheritance,
polymorphism, object-oriented design, analysis,
implementation and testing. Prerequisites:
CSC 210.
CSC 321. Computer Organization and Architecture. (4).
Principles of computer organization and
architecture are introduced from a layered point
of view, beginning at data representation and
progressing through the machine language
execution cycle. Representative software-hardware
tradeoffs in the implementation of various
computer system components will be presented. The
design and interface to a variety of peripheral
devices will also be discussed. The emphasis will
be on the hardware aspects of a computer system.
Prerequisites: CSC 210, MATH 241.
CSC 325. Organization of Programming Languages. (4).
Covers introduction of major language histories,
common components, built-in structures,
compositions of basic structures, language
specification, analysis techniques, runtime
behavior, de-facto standards, and future
developments. Prerequisites: CSC 210, MATH 241.
CSC 331. Systems Analysis. (4).
This is the first course in system engineering
that stresses the system development life cycle.
Students learn ways of organizing the structure
and process of building very large-scale systems
that may or may not involve computers. Includes
information gathering, design tradeoffs,
implementation strategies, product liability,
acceptable risk analysis and project follow-up.
Prerequisites: CSC 210, MATH 241.
CSC 332. Introduction to E-Commerce. (4).
Overview of eCommerce from business aspects to
required eCommerce technical skills. A lecture
based course with extensive online research for
eCommerce information, useful sites, case studies
and Web tools. A basic e-Commerce architecture of
three tiers such as the front-end tier, the Web
server tier and the back-end system tier in
Windows NT and Unix. Connectivity to the back-end
database system and legacy systems. Security,
protection, electronic payment, firewall and
proxy. Several Web designing tools and
programming skills. The course builds a
foundation for students to pursue higher level
e-Commerce courses. Prerequisites: CSC 110 or
permission of instructor.
CSC 335. Software Engineering. (4).
Presents a formal approach to state-of-the-art
techniques for software design and development,
involving students in a team approach to
organizing, managing and developing software.
Prerequisites: CSC 210, MATH 241.
CSC 340. Operating Systems. (4).
Discusses the major functionality and principles
behind all major operating systems tasks,
including user interface, hardware sharing among
users, data sharing among processes, user
protections, resources scheduling among users,
multi-user environment, multi-processing and
real-time systems. Prerequisites: CSC 210,
MATH 241.
CSC 344. Web Design. (4).
Studies the backbone of dynamic Web documents.
Subjects include Web design standards, and
Web-based application programming to make layout,
tables, style sheets, templates, libraries,
frames and rollovers. HTML and script languages
such as Java Scripts, GUI design paint tools and
plug-ins are studied in depth. Prerequisites:
CSC 210, MATH 241.
CSC 350. Introduction to Data Communications and Networks. (4).
Includes discussion of distributed data
processing, communication techniques, wide-area
and local-area networks, integrated services
digital network, open-systems interconnection,
security and network management. Prerequisites:
CSC 210, MATH 241.
CSC 355. Client/Server Fundamentals. (4).
Discusses modern technology in network
communication and cooperative computation. Topics
include discussion of client/server design
concept, software expectation, hardware
requirement, service, support and training
issues. Prerequisites: CSC 210.
CSC 360. Computer System Security. (4).
An introduction of security issues in computer
system and data communications, including Data
Encryption Standard, public-key systems, digital
signatures, ciphers, data compression, data
manipulation and supporting techniques.
Prerequisites: CSC 210, MATH 241.
CSC 370. Multimedia Technology. (4).
Introduces modern multimedia technologies. Topics
include basic concepts, principles, sound, image,
animation, standards, hardware and software
requirements, new technologies, current research
and practice, and future directions.
Prerequisites: CSC 210, MATH 151.
CSC 400. Graphical User Interface. (4).
An introductory course to user interface design
fundamentals. Topics include development
methodologies, evaluation techniques,
user-interface building tools, considerations in
the design phase, identification of applicable
design rules, and successful delivery of the
design. Prerequisite: CSC 210.
CSC 405. Graphics. (4).
Review of graphic display architecture and
graphic input devices. Coverage includes two- and
three-dimensional drawing, viewing, clipping,
transformations, shading and data structures for
graphics systems. Prerequisites: CSC 210,
MATH 241.
CSC 410. Database Management Systems. (4).
Studies the concepts and structures necessary to
design and operate a database management system.
Topics include data modeling, relational database
design, and database querying. Prerequisites:
CSC 210, MATH 241.
CSC 412. Bioinformatics-Computational. (4).
The course introduces commonly used methods for
analyzing biological data such as DNA and protein
sequences and covers phylogenetic tree
construction and 3D folding of biomolecules. It
examines bioinformatics algorithms such as
sequence search and alignment and its underlying
principles and implements simple algorithms using
Perl programming language. Prerequisites CSC 110
/ CSC 210, &
MATH 352 for CS majors. CSC 110 / CSC 210,
MATH 352, & BIOL 422 for Biology majors.
CSC 482. Selected Topics. (1-4).
CSC 490. Independent Study. (1-4).
CSC 492. Internship. (1-4).
(graded P/NC only).
CSC 493. Field Study. (2).
CSC 499. Capstone. (4).
Undergraduate research or development project.
The exact nature of the project is negotiated
with the sponsoring professor.
Professors
Klassen | ||
Peng |
Associate professor
Reinhart |