AAAI 150Ethics in AI Credits / Units3
- 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
Randolph Community College · Courses
AAAI
18 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.
AAAI 200Industrial Experience I1
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
AAAI 250Introduction to Artificial Intelligence
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
AAAI 290AICE: Artificial Intelligence Credits / Units3
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
AAAI 300Industrial Experience II1
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
AAAI 350Machine Learning Credits / Units3
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
AAAI 360AICE: Introduction to Natural Language Processing
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
AAAI 380Recent Trends in Deep Learning Credits / Units3
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
AAAI 385AICE: Generative AI and Large Language Models
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
AAAI 410AICE: Intelligent Autonomous Agents
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
AAAI 440AICE: Machine Vision for Intelligent Robotics
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
AAAI 450AICE: Navigation and Localization for Autonomous Systems
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
AAAI 460AICE: Federated Learning
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
AAAI 465AICE:Computer Vision Credits / Units3
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
AAAI 477AICE: Perception Systems for Autonomous Vehicles
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
AAAI 490AICE: Introduction to Reinforcement Learning
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
AAAI 494Capstone I Credits / Units3
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
AAAI 495Capstone II Credits / Units3
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: Randolph Community College's catalog, linked per course · table learning_unit · CourseShelf publish 61