Course Outline of Record

Item	Value
Eff Term	Fall 2026
Curriculum Committee Approval Date	11/14/2025
Top Code	070200 - Computer Information Systems (CTE)
Units	0 Total Units
Hours	27 Total Hours (Lecture Hours 27)
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),  Letter Non-Credit (L)

Course Description

This course introduces the foundational concepts of artificial intelligence (AI), including definitions, basic types of AI, and common uses in daily life and the workplace. Students will explore current trends and discuss how AI is shaping society, jobs, and communication. Not Transferable.

Course Level Student Learning Outcome(s)

1. Define artificial intelligence and identify basic types (narrow, general, generative).
2. Describe real-world applications of artificial intelligence in business, education, and personal life.
3. Recognize opportunities and challenges associated with artificial intelligence adoption.

Course Objectives

• 1. Define key terminology related to artificial intelligence, including machine learning, automation, and generative AI.
• 2. Differentiate between types of AI (narrow, general, and generative) and explain their core characteristics.
• 3. Identify examples of AI systems used in business, education, healthcare, and personal technology.
• 4. Explain the role of AI in everyday tasks, including voice assistants, recommendation systems, and productivity tools.
• 5. Describe current trends in AI development and public perception.
• 6. Discuss potential benefits of AI implementation for efficiency, accessibility, and innovation.
• 7. Summarize ethical, social, and economic challenges related to AI adoption, such as bias, job displacement, and data privacy.

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Lecture Content

1. Introduction to Artificial Intelligence
2. Types of AI – Narrow, General, Generative
3. Real-World AI Applications: Business, Education, and Personal Life
4. AI in Everyday Tasks
5. Current Trends in AI
6. Benefits of AI
7. Challenges of AI – Part 1: Bias and Fairness
8. Challenges of AI – Part 2: Job Displacement and Privacy
9. Economic Impact of AI
10. Ethics and Responsible Use
11. AI in Communication and Society
12. Public Perception of AI
13. Preparing for the Future of AI

Method(s) of Instruction

• DE Delayed Enhanced NC Lect (NCD)
• Enhanced NC Lect (NC1)
• Live Online Enhanced NC Lect (NC9)
• Online Enhanced NC Lect (NC5)

Instructional Techniques

This course will utilize a combination of lecture, system simulators, classroom discussion with student interactions, problem-solving techniques, quizzes, exams, and troubleshooting assignments to achieve the goals and objectives of this course. All instructional methods are consistent across all modalities.

Reading Assignments

Read open educational resource materials, journal articles and corporate reports, news articles, interactive career websites, and privacy policies.

Writing Assignments

Reflect on artificial intelligence concepts, analyze real-world applications, and articulate how AI tools can enhance communication and productivity in everyday and workplace settings.

Out-of-class Assignments

Students will learn effective prompt writing techniques to communicate clearly with AI tools, refining inputs to generate accurate, relevant, and high-quality outputs.

Methods of Student Evaluation

• Short Quizzes
• Written Assignments
• Projects (Individual/Group)
• Problem Solving Exercises
• Skills Demonstration

Demonstration of Critical Thinking

Evaluate AI-generated information, question its accuracy and bias, and make informed decisions about responsible technology use.

Required Writing, Problem Solving, Skills Demonstration

Short writing assignments that demonstrate understanding of AI concepts, ethical considerations, and practical applications. Through problem-solving and skill demonstrations, apply AI tools to real-world scenarios, showcasing the ability to communicate effectively and use technology responsibly.

Resources Subscreen

• Open Education Resource: J.J. Sylvia IV. The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond. (September 2025).

Eligible Discipline(s)

• 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.
• Computer service technology: Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.
• Computer science: Master’s degree in computer science or computer engineering OR bachelor’s degree in either of the above AND master’s degree in mathematics, cybernetics, business administration, accounting or engineering OR bachelor’s degree in engineering AND master’s degree in cybernetics, engineering mathematics, or business administration OR bachelor’s degree in mathematics AND master’s degree in cybernetics, engineering mathematics, or business administration OR bachelor’s degree in any of the above AND a master’s degree in information science, computer information systems, or information systems OR the equivalent. Note: Courses in the use of computer programs for application to a particular discipline may be classified, for the minimum qualification purposes, under the discipline of the application. Master's degree required.