Nov 21, 2024

Undergraduate Catalog 2024-2025

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Undergraduate Catalog 2024-2025

Information Systems (B.S.)

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Student Learning Outcomes for Information Systems:

Students will be able to:

Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
Communicate effectively in a variety of professional contexts.
Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Support the delivery, use, and management of information systems within an information systems environment. (IS Specific)

The Information System major requirements are:

CS 121 - Computer Science I 4.00 credits.
CS 122 - Computer Science II 4.00 credits.
CS 205 - Introduction to Information Systems 2.00 credits.
CS 209 - Database Systems 4.00 credits.
CS 230 - Computer Architecture 4.00 credits.
CS 250 - Foundations of AI & Data Science 4.00 credits.
CS 261 - Ethical Hacking 2.00 credits.
CS 262 - Digital Forensics 2.00 credits.
CS 296 - Professional Development Seminar (EGR 296) 1.00 credit.
CS 310 - Web Development 4.00 credits.
CS 341 - Software Engineering 4.00 credits.
CS 342 - Computer Networking 4.00 credits.
CS 396 - Industry Speakers and Special Topics 1.00 credit.
CS 401 - Capstone Project in Computing I 2.00 credits.
CS 402 - Capstone Project in Computing II 2.00 credits.
CS 409 - Database Cloud Computing 4.00 credits.
EC 101 - SSC Principles of Macroeconomics 4.00 credits. or
EC 102 - SSC Principles of Microeconomics 4.00 credits.
MA 250 - MA Sports Analytics 4.00 credits. or
MA 251 - MA Probability and Statistics 4.00 credits.
PH 263 - HUM Societal Impacts of Computing, A.I., and Robotics 4.00 credits.

Information Systems majors must also:

Complete ONE of the following three concentrations, or
Earn the degree without a concentration by completing 16 credits at or above the 200-level of CS or specified EGR (EGR 330 , EGR 430 , EGR 434 ) courses.

Data Engineering Concentration

BA 260 - Introduction to Data Visualization 2.00 credits.
CS 350 - From Data Mining to Deep Learning 4.00 credits.
CS 354 - Big Data 4.00 credits.
CS 358 - Machine Learning (DAT 358) 2.00 credits.
MA 252 - Statistical Methods in Research 4.00 credits.

Cybersecurity Concentration

CJ 100 - WCH Introduction to Criminal Justice 4.00 credits.
CJ 110 - Criminology 4.00 credits.
CS 363 - Computer Security 4.00 credits.
CS 364 - Network Security 4.00 credits.

Management Concentration

AC 101 - Introduction to Accounting 4.00 credits.
BA 265 - Management and Organizational Behavior 4.00 credits.
BA 330 - Legal Environment of Business 4.00 credits.
COM 120 - Intro to Communications 4.00 credits.

First Year Suggested Courses:

FYS 100 - First-Year Seminar 4.00 credits.
EN 100 - PLE First Year Writing 4.00 credits.
CS 121 - Computer Science I 4.00 credits.
CS 122 - Computer Science II 4.00 credits.
MA 251 - MA Probability and Statistics 4.00 credits.
CS 205 - Introduction to Information Systems 2.00 credits. (if Spring, even)
or
CS 261 - Ethical Hacking 2.00 credits.
and
CS 262 - Digital Forensics 2.00 credits. (if Spring, odd)

Note:

CS 121 and CS 122 are prerequisites to upper-level courses in Computer Science and must be taken before upper-level courses can be attempted. Placement above CS 121/CS 122 for incoming students is done either by AP exam credit or through discussion with the course instructor and the Dean.
MA 251 is required of Information Systems majors, and should be taken in the first year, if possible.
A C- or better is required in ALL prerequisite courses in order to continue in the major.

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