CHT A090N: Artificial Intelligence: Basic Concepts & Applications
| Item | Value |
|---|---|
| Eff Term | Fall 2026 |
| Curriculum Committee Approval Date | 10/15/2025 |
| Top Code | 051400 - Office Technology/Office Computer Applications (CTE) |
| Units | 0 Total Units |
| Hours | 27 Total Hours (Lecture Hours 27-36) |
| Total Outside of Class Hours | 0 |
| Total Student Learning Hours | 27 |
| Course Credit Status | Noncredit (N) |
| Material Fee | No |
| Basic Skills | Not Basic Skills (N) |
| Repeatable | Yes; Repeat Limit 99 |
| Open Entry/Open Exit | No |
| Grading Policy | P/NP/SP Non-Credit (D) |
Course Description
This noncredit course introduces the basic understanding of Artificial Intelligence (AI) and its use in the world today. Students will explore history, key concepts, ethical concerns and learn how it can be used in everyday life. By the end of the course, students will understand AI fundamentals and skills to apply AI tools and technologies in real-world scenarios. Not Transferable.
Course Level Student Learning Outcome(s)
- Differentiate between key AI concepts such as machine learning, neural networks, and natural language processing.
- Analyze a real-world dataset using an AI tool to generate insights or solutions, demonstrating foundational skills in AI-assisted problem solving.
Course Objectives
- 1. Understand the history, definition, and real-world applications of AI across industries.
- 2. Identify core AI concepts such as machine learning, neural networks, and deep learning.
- 3. Explain basic principles and applications of Natural Language Processing (NLP).
- 4. Describe how AI is used in robotics and automation.
- 5. Recognize key ethical issues related to AI, including bias and data privacy.
- 6. Apply basic AI tools in hands-on projects to solve practical problems.
Lecture Content
Introduction to Artificial Intelligence
- History and definition
- Applications of AI in industries including healthcare, education, and business
Fundamental Concepts
- Key areas of AI
- Machine learning
- Neural networks
- Deep learning
Machine Learning Basics
- Supervised vs. unsupervised learning
- Algorithms
- Decision trees
- Linear regression
Natural Language Processing (NLP)
- Introduction to language models
- Text processing
- Applications like chatbots and sentiment analysis
Robotics and Automation
- AI in robotics
- Autonomous systems
- Real-world examples of automation
Ethics and AI
- Ethical concerns surrounding AI
- Bias
- Data privacy
- Impact on employment
Hands-on Projects
- Applying AI tools to solve practical problems and analyze datasets
AI Trends and Future Outlook
- Future AI developments
- Potential societal changes
- Preparing for the future of AI
Method(s) of Instruction
- Enhanced NC Lect (NC1)
- Live Online Enhanced NC Lect (NC9)
- Online Enhanced NC Lect (NC5)
Instructional Techniques
Lecture and application of ideas. Demonstration and practice of problem-solving. Digital presentations and video.
Reading Assignments
Assigned readings from books, websites, PowerPoints, and content pages.
Writing Assignments
Provide written feedback from peer reviews, reflections on skills learned, and how they relate to real-world scenarios.
Out-of-class Assignments
Practice activities, videos related to course topics
Methods of Student Evaluation
- Short Quizzes
- Written Assignments
- Projects (Individual/Group)
- Oral Presentations
- Skills Demonstration
Demonstration of Critical Thinking
Students demonstrate critical thinking by comparing real-world AI applications in different industries.
Required Writing, Problem Solving, Skills Demonstration
Hands-on demonstration using AI tools to solve an everyday challenge.
Other Resources
1. Instructor provided handouts
Resources Subscreen
- Other: . . ().
Eligible Discipline(s)
- Office technologies (secretarial skills, office systems, word processing, computer applications, automated office training): Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.
- Computer information systems (computer network installation, microcomputer technology, computer applications): Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.
