Computer Science / Bachelor of Science

Total Credit Hours: 128

Major Credit Hours: 53

Accelerated Program

The online accelerated Bachelor of Science in Computer Science is available only to students enrolled in The School for Professional and Continuing Education. To be admitted, adult students should have earned a minimum of 30 semester hours of transferable credit, which includes College Writing 1 or equivalent, at a regionally-accredited, post-secondary institution; have earned a minimum of 2.0 (on a 4.0 scale) cumulative transfer grade point average based upon all transferable courses; demonstrate evidence of significant work experience or military training; and write a personal statement outlining a plan for achieving success in an adult accelerated program at Lewis University. Credits earned through Prior Learning Assessment cannot be used for satisfying the transfer credit hour requirement for admission into an accelerated degree program.

Degree Requirements

Program: BS-CPSC-A

I. Core Courses (35)

MATH-24000Applied Calculus

4

MATH-30700Applied Linear Algebra

3

MATH-31000Discrete Mathematics

4

CPSC-20000Introduction to Computer Science

3

CPSC-21000Programming Fundamentals

3

CPSC-24500Object-Oriented Programming

3

CPSC-30000Computer Organization

3

CPSC-34000Algorithms and Data Structures

3

CPSC-35000Operating Systems

3

CPSC-46000Programming Languages

3

CPSC-48000Communications and Networking

3

II. Capstone Sequence (6)

Complete either course sequence:
CPSC-44000Software Engineering

3

CPSC-49200Software Systems Capstone Project

3

-
OR

CPSC-48500Advanced Communications and Networking

3

CPSC-49300Computer Infrastructure Capstone Project

3

III. Electives (12)

Electives give students the opportunity to focus on specific topics of interest. Computer Science is a field with broad impact and a commensurately diverse focus. Because of this, it can sometimes be difficult for a student to identify computer science electives that match his or her interests and career aspirations. Formal concentrations exist within the Computer Science curriculum to help a student select electives that match his or her interests and goals. A Concentration is a set of electives that fit a particular theme. They provide a framework for selecting the four electives a Computer Science major needs to complete the Bachelor of Science in Computer Science. A student need not declare a Concentration and may instead choose his or her electives per the rules described under No Declared Concentration below. However, if a student wishes to pursue and declare a specific area of focus, then he or she may pursue a particular Concentration. A student may declare no more than one Concentration in which to graduate. The purpose of these formal Concentrations is not to prescribe or constrain the electives a student takes. Rather, it is to provide the student guidance in choosing elective coursework with a specific focus.

A. No Declared Concentration

Choose any four additional computer science courses at or above the 200 level. One of the following courses may substitute for one computer science elective:
MATH-31400Applied Probability and Statistics

3

MATH-31500Probability and Statistics 1

3

MATH-35000Numerical Analysis

3

MATH-42500Mathematical Modeling

3

B. Game and Simulation Programming Concentration

Concentration: GAME

The purpose of the Game and Simulation Programming concentration is to prepare students to write computer games and simulations of real-world process and systems. Gaming and simulation are kindred pursuits, and so students who take the courses of this concentration will be well-qualified to develop both of these kinds of software applications.

i. Choose this required course:
CPSC-41000Video Game Programming 1

3

ii. Chose three of the following:
MATH-42500Mathematical Modeling

3

CPSC-41500Video Game Programming 2

3

CPSC-41700Mobile Application Development

3

CPSC-43000Computer Graphics

3

CPSC-47000Artificial Intelligence

3

C. Cyber Security Operations Concentration

Concentration: CYBO

Cyber Security Operations is a highly technical focus within the field of Information Security that requires computer scientists who understand the ways in which data are represented, stored, and processed; how machines and operating systems manage memory and processing resources; and how applications interact and influence each other during their execution. The purpose of Cyber Security Operations Concentration is to provide students the skills and knowledge they need to protect computers, networks, and data stores.

To earn the Concentration in Cyber Security Operations, a student must take four of the following eleven courses:

CPSC-22000Introduction to Unix

3

CPSC-25000File Systems and Digital Forensics

3

CPSC-33000Database Systems

3

CPSC-35500Cloud Computing and Virtualization

3

CPSC-36000Applied Programming Languages

3

CPSC-42000Computer Security

3

CPSC-42300Cyber Security and Forensics Tools

3

CPSC-42500Encryption

3

CPSC-42700Programming for Penetration Testing

3

CPSC-42800Programming for Digital Forensics

3

CPSC-48500Advanced Communications and Networking

3

D. Pervasive Computing Concentration

Concentration: PRVC

Increasingly, people consume and produce data on non-traditional computing platforms, such as smart phones, tablets, electronic appliances, and control systems. The coursework of the Pervasive Computing Concentration prepares students to develop applications and systems of applications that process and present diverse, distributed data on a variety of platforms.

To earn the Pervasive Computing Concentration, students must take four courses from this list of seven:

CPSC-23000Visual Basic

3

CPSC-24700Web and Distributed Programming

3

CPSC-33000Database Systems

3

CPSC-35500Cloud Computing and Virtualization

3

CPSC-36000Applied Programming Languages

3

CPSC-41700Mobile Application Development

3

CPSC-47200Introduction to Data Mining

3

E. Computational Theory Concentration

Concentration: CMPT

Like all other scientific fields, Computer Science is both a theoretical and an empirical pursuit. Computer Scientists use and develop applications guided by a rich body of theoretical principles. What we understand about how systems process, store, and discover data continues to evolve, thanks to the work of theoreticians in the field. The purpose of the Computational Theory Concentration is to train Computer Scientists who can advance our understanding of how computer systems process, store, and create data and instructions.

i. Choose one Mathematics course:
MATH-31400Applied Probability and Statistics

3

MATH-31500Probability and Statistics 1

3

MATH-35000Numerical Analysis

3

MATH-42500Mathematical Modeling

3

ii. Choose three Computer Science courses:
CPSC-31500Scientific Computing

3

CPSC-35500Cloud Computing and Virtualization

3

CPSC-47000Artificial Intelligence

3

CPSC-47100Machine Learning

3

CPSC-47200Introduction to Data Mining

3

CPSC-49000Compiler Construction

3

F. Data Science Concentration

Concentration: DATA

Practitioners of virtually every discipline are collecting data like never before to gain a deeper understanding of their discipline and to make better decisions. The technical challenges associated with collecting, storing, processing, communicating, visualizing, and interpreting the huge quantities of data that have become available today are far from trivial. All of these challenges are the kinds computer scientists can meet, thanks to their deep understanding of how computer systems accomplish such tasks. The courses of the Data Science Concentration prepare students to design and develop software and hardware solutions for maximizing the value of Big Data.

i. Choose one Mathematics course:
MATH-31400Applied Probability and Statistics

3

MATH-31500Probability and Statistics 1

3

ii. Choose both of the following:
CPSC-33000Database Systems

3

CPSC-47200Introduction to Data Mining

3

iii. Choose one Computer Science course:
CPSC-23500Programming for Data Analysis

3

CPSC-35500Cloud Computing and Virtualization

3

CPSC-47000Artificial Intelligence

3

CPSC-47100Machine Learning

3

IV. Advanced Writing Requirement (6)

The advanced writing requirement of the General Education curriculum is satisfied by successful completion of:
CPSC-44000Software Engineering

3

CPSC-49200Software Systems Capstone Project

3

-
OR

CPSC-48500Advanced Communications and Networking

3

CPSC-49300Computer Infrastructure Capstone Project

3