- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
AAAI
35 courses with the subject AAAI, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
- Subject
- AAAI
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- None
Total Hours 1
- Subject
- AAAI
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hour
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- CST 240 or COMP 167
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) The objective of this course is to introduce students to the fundamental concepts, models, and algorithms in Artificial Intelligence (A Prerequisite(s): CST 240 or COMP 167
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- COMP 280 MATH 351
- Corequisite
- none
Total Hours 16
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- AAAI 200
Total Hours 1
- Subject
- AAAI
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit hour
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- AAAI 250
Applied AI in Engineering and Technologies Course 2 Credits / Units: 3 AI for Digital Art, Design and Sciences Concentration Elective 3 Credits / Units: 3 Data Analytics Concentration Elective 4 Credits / Units: 3 Semester Total: 15
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- Comp 365
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course offers an introduction to the fundamental concepts, techniques, and applications of Natural Language Processing (NLP). Topics inclu Prerequisite(s): Comp 365 Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- Course
Decision Making and Robotics Elective II- ECEN 377 or ECEN 474 or AAAI 410 or AAAI 440 or AAAI 450 or AAAI 470 or AAAI 477 (not previously taken) Credits / Units: 3 Total Hours 15
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- n/a
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course covers the foundational concepts and advanced techniques in generative AI, with a focus on Large Language Models (LLMs). Students will explore the underlying a Prerequisite(s): n/a Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- none
- Corequisite
- nono
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This project-oriented course introduces techniques for developing integrated AI-based autonomous agents, such as mobile robots and self Prerequisite(s): none Corequisite(s): nono
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- TBA
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course introduces the fundamentals of machine vision with an emphasis on its a Prerequisite(s): TBA Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- TBA
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course focuses on the navigation and localization aspects of autonomous systems, including self-driving cars, aerial t Prerequisite(s): TBA Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- COMP 365
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course provides an introduction to Federated Learning (FL) , exploring its evolution from conceptualization to its first application and subsequent commercial adoption. Students will gain a comprehensive Prerequisite(s): COMP 365 Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- TBA
- Corequisite
- none
Computer Science Elective 3 Total Hours 15 2nd Semester
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- TBA
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course focuses on the perception systems used in autonomous vehicles, covering tech Prerequisite(s): TBA Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- TBA - Some Deep Learning Course/ Probability Course/Programming
- Corequisite
- none
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course aims to provide students with a comprehensive understanding of reinforcement learning (RL) principles and practical skills in implemen Prerequisite(s): TBA - Some Deep Learning Course/ Probability Course/Programming Corequisite(s): none
- Subject
- AAAI
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- Senior Standing
Machine Learning Elective I - AAAI 360 or AAAI 385 or AAAI 490 or AAAI 460 or COMP 361 Credits / Units: 3 Machine Learning Elective II - AAAI 360 or AAAI 385 or AAAI 490 or AAAI 460 or COMP 361 (not previously taken) Credits / Units: 3
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- Course
Machine Learning Elective III - AAAI 360 or AAAI 385 or AAAI 490 or AAAI 460 or COMP 361 (not previously taken) Credits / Units: 3 Decision Making and Robotics Elective III- ECEN 377 or ECEN 474 or AAAI 410 or AAAI 440 or AAAI 450 or AAAI 470 or AAAI 477 (not previously taken) Credits / Units: 3
- Subject
- AAAI
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
Source: North Carolina A & T State University's catalog, linked per course · table learning_unit · CourseShelf publish 61