Artificial Intelligence, B.S.A.I. - 2 Year Plan of Study

Semester 1 (Fall)

• CDA 3103 - Computer Organization Credit(s): 3
• COP 3514 - Program Design Credit(s): 3
• COT 3100 - Introduction to Discrete Structures Credit(s): 3
• EGN 2440 - Probability and Statistics with Calculus Credit(s): 3
• EGN 4450 - Introduction to Linear Systems Credit(s): 2

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  NOTE: Students may take Statistics (STA 2023  for EGN 2440), Linear Systems (any course in linear algebra is acceptable), and Discrete Structures (any course in Discrete Math like MAD 2104  is acceptable) in the first two years prior to transferring.  If these courses are taken prior to transferring, students may complete general elective courses if needed to meet the total degree hours of 120.

  Total Credit Hours: 14

Semester 2 (Spring)

• CAI 4002 - Introduction to Artificial Intelligence Credit(s): 3
• COP 4530 - Data Structures Credit(s): 3
• Technical Elective Credit(s): 3
• Technical Elective Credit(s): 3
• Theory Elective Credit(s): 3

Total Credit Hours: 15

Semester 3 (Summer)

• Internship/Co-op Participation                                         

NOTE: See Department Advisor for CIS 4940  for credit.

Semester 4 (Fall)

• CAI 4105 - Introduction to Machine Learning Credit(s): 3
• CNT 4419 - Secure Coding Credit(s): 3
• COT 4400 - Analysis of Algorithms Credit(s): 3
• Artificial Intelligence Elective Credit(s): 3
• Artificial Intelligence Elective Credit(s): 3
• Technical Elective Credit(s): 3

Total Credit Hours: 18

Semester 5 (Spring)

• CEN 4020 - Software Engineering Credit(s): 3
• CIS 4250 - Ethical Issues and Professional Conduct Credit(s): 3
• COP 4600 - Operating Systems Credit(s): 3
• Artificial Intelligence Elective Credit(s): 3
• Artificial Intelligence Elective Credit(s): 3

Total Credit Hours: 15