Artificial Intelligence, B.S.

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Student Learning Outcomes

Students will be able to demonstrate foundational knowledge of problem-solving using programming constructs and understand the need for life-long learning.
Students will be able to develop system design and development skills that would be applicable to solve real-world problems.
Students will be able to apply communication and interdisciplinary teamwork skills to collaborate with people of diverse backgrounds.
Students will be able to anticipate, identify, and resolve moral and ethical dilemmas through their understanding and application of the Christian worldview.

Requirements for the Bachelor of Science (B.S.) degree with major in Artificial Intelligence

University Core Curriculum - 42 hours

Program requirements satisfy 6 of the 48 hours in the Core Curriculum.

The Mathematics elective area is satisfied by one of the following: BUS 2193 , MTH 1163 , MTH 2103 , PSY 2383 .
The Arts and Humanities elective area is satisfied by PHL 2423 .

Core Curriculum Courses

Artificial Intelligence Core - 39 hours

CS 1233 Object-Oriented Programming (On Campus)
CS 1513 Java Programming (On Campus)
CS 2243 Data Structures and Algorithms (On Campus)
CS 3363 Database Design (On Campus)
CS 3443 Machine Learning (On Campus)
CS 3533 Software Engineering (On Campus)
CS 3643 Artificial Intelligence (On Campus)
CS 3773 Big Data & Cloud Computing (On Campus)
MTH 1153 Linear Algebra (On Campus)
MTH 1163 Calculus I (On Campus)
MTH 2213 Discrete Mathematics (On Campus)
PHL 2423 Ethics (On Campus and Online)

Statistics Elective

One of the following

BUS 2193 Business Statistics (On Campus and Online)
MTH 2103 Applied Statistics for Scientists (On Campus)
MTH 3183 Probability and Statistics (On Campus)
PSY 2383 Statistics for the Behavioral Sciences (On Campus and Online)

Major Field Courses - 10 hours

EN 1112 Introduction to Engineering, Computer Science, and Cybersecurity (On Campus)
EN 3222 Collaborative Design Lab (On Campus)
EN 4113 Capstone I (On Campus)
EN 4123 Capstone II (On Campus)

Technical Electives - 12 hours

Courses cannot be double-counted for the major requirement in the Computer Science, B.S. or Computer Science, B.A. degrees. Choose four of the following electives; lectures and corresponding labs must be taken together to count as one elective.

BUS 3113 Spreadsheet Analytics (On Campus and Online)
CS 2423 Web Applications (On Campus)
CS 2823 C# & dotNET (On Campus)
CS 3473 Advanced Web Applications (On Campus)
CS 3683 Advanced JAVA Programming (On Campus)
CS 4023 Advanced Computing Concepts (On Campus)
CS 4083 Software Testing & Quality Assurance (On Campus)
DAT 3113 Basic Data Analytics (On Campus)
DAT 4253 Business Decision Modeling & Predictive Analysis (On Campus)
DAT 4313 Data Visualization (On Campus)
EE 2212 Digital Electronics (On Campus) (with lab EE 2211)
EE 2222 Electrical Circuits (On Campus) (with lab EE 2221)
EE 3123 Embedded Systems (On Campus)
EE 4322 Digital Systems (On Campus) (with lab EE 4321)