Applied Artificial Intelligence, Cyber Security Track, B.S.A.A.I.

Learning Outcomes

Students who complete the undergraduate program in applied artificial intelligence will have:

1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
3. an ability to communicate effectively with a range of audiences.
4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
5. an ability to function effectively on a team whose members together provide leadership, create a collaborative environment, establish goals, plan tasks, and meet objectives.
6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
8. an ability to use AI applications where appropriate.

Core Curriculum and First Year Experience (7 hours)

• FYE 1001 First Year Experience
• ENGL 1033 Exposition and Argumentation
• ENGL 2093 STEM and Business Writing

General Curriculum (22 hours)

• Quad One: Creative Arts (6 hours)
• Quad Two: Humanities (6 hours)
• Quad Three: Social Sciences (6 hours) required course CYB 4203  double counts for 3 hours  
• Quad Four: Natural and Applied Sciences (7 hours)

Some major required courses may be double counted to fulfill a quad requirement.  

Applied Artificial Intelligence Core (31 hours)

• MATH 2014 Calculus I
• DS 1043 Program in Python
• CYB 4203 Secure and Trustworthy AI Fulfills 3 hours of Quad III requirement

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• CS 3083 Fundamentals of AI Systems or
• ES 3093 Introduction to Applied Artificial Intelligence and Machine Learning

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• CS 4103 Fundamentals of Machine Learning or
• ECE 4413 Neural Networks and Deep Learning

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• AI 4013 Applications of Statistical Learning and Neural Networks
• AI 4023 Deep Learning Design and Application
• AI 4033 Reinforcement Learning
• AI Electives (6 hours)

Other courses approved as Applied AI by the program

Cyber Security Courses (31 hours)

• STAT 2013 Introduction to Statistics or
• STAT 4813 Statistical Methods for Scientists and Engineers

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• CYB 2004 Secure Software Development I
• CYB 3043 Enterprise Networks and Security
• CYB 3073 Introduction to Cyber Security
• CYB 3353 System Administration
• CYB 4003 Cyber Capstone
• CYB 4223 AI Cyber Security Applications
• AI 4000 AI Capstone Experience
• Nine hours of upper-level electives in AI, cyber security or data science selected with approval of advisor.

General Electives (29 hours)

Selected with approval of advisor.

Cyber Security Option Total: 120 hours required

To become a candidate for a degree in Applied Artificial Intelligence, a student must complete all artificial intelligence courses in the curriculum with a grade-point average of at least 2.0 and earn a grade point average of 2.0 or higher overall.