| 9/12/2025 7:17:03 AM |
| New Course (First Version) |
| CATALOG INFORMATION
|
| Discipline and Nbr:
CS 102 | Title:
INTRO TO AI TOOLS |
|
| Full Title:
Introduction to Artificial Intelligence Tools |
| Last Reviewed:4/28/2025 |
| Units | Course Hours per Week | | Nbr of Weeks | Course Hours Total |
| Maximum | 3.00 | Lecture Scheduled | 3.00 | 17.5 max. | Lecture Scheduled | 52.50 |
| Minimum | 3.00 | Lab Scheduled | 0 | 6 min. | Lab Scheduled | 0 |
| | Contact DHR | 0 | | Contact DHR | 0 |
| | Contact Total | 3.00 | | Contact Total | 52.50 |
| |
| | Non-contact DHR | 0 | | Non-contact DHR Total | 0 |
| | Total Out of Class Hours: 105.00 | Total Student Learning Hours: 157.50 | |
Title 5 Category:
AA Degree Applicable
Grading:
Grade or P/NP
Repeatability:
00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As:
Formerly:
Catalog Description:
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This hands-on course introduces students to the practical applications of artificial intelligence (AI). Students will explore a variety of AI tools designed to enhance their personal, and professional lives. Through interactive activities, students will learn to leverage AI to generate creative content, boost productivity, streamline tasks, enhance learning, customize a digital assistant and more. No prior experience with AI is required. Discover the empowering potential of AI!
Prerequisites/Corequisites:
Recommended Preparation:
Limits on Enrollment:
Schedule of Classes Information
Description:
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This hands-on course introduces students to the practical applications of artificial intelligence (AI). Students will explore a variety of AI tools designed to enhance their personal, and professional lives. Through interactive activities, students will learn to leverage AI to generate creative content, boost productivity, streamline tasks, enhance learning, customize a digital assistant and more. No prior experience with AI is required. Discover the empowering potential of AI!
(Grade or P/NP)
Prerequisites:
Recommended:
Limits on Enrollment:
Transfer Credit:
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP
ARTICULATION, MAJOR, and CERTIFICATION INFORMATION
| Associate Degree: | Effective: | | Inactive: | |
| Area: | | |
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| CSU GE: | Transfer Area | | Effective: | Inactive: |
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| IGETC: | Transfer Area | | Effective: | Inactive: |
| |
| CSU Transfer: | | Effective: | | Inactive: | |
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| UC Transfer: | | Effective: | | Inactive: | |
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| C-ID: |
Certificate/Major Applicable:
Both Certificate and Major Applicable
Approval and Dates
| Version: | 01 | Course Created/Approved: | 4/28/2025 |
| Version Created: | 12/6/2024 | Course Last Modified: | 7/21/2025 |
| Submitter: | Kendra Morning | Course Last Full Review: | 4/28/2025 |
| Version Status: | Approved New Course (First Version) | Prereq Created/Approved: | 4/28/2025 |
| Version Status Date: | 4/28/2025 | Semester Last Taught: | |
| Version Term Effective: | Fall 2026 | Term Inactive: | |
COURSE CONTENT
Student Learning Outcomes:
At the conclusion of this course, the student should be able to:
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1. Demonstrate understanding of AI fundamentals.
2. Critically evaluate strengths and limitations of various AI tools and approaches.
3. Effectively utilize multiple forms of AI to create original content for a variety of purposes.
4. Discuss the implications of using AI tools.
Objectives:
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At the conclusion of this course, the student should be able to:
1. Describe AI fundamentals.
2. Compare and contrast different uses of AI.
3. Use AI tools for a variety of purposes, including designing solutions for real world problems.
4. Develop practical skills in using AI tools to enhance creativity and productivity.
5. Discuss the ethics of using AI in a variety of contexts.
6. Describe the potential impact of AI on employment and society.
Topics and Scope
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I. Fundamentals of AI
A. Types of AI
B. AI models & prediction
C. Potential of AI
D. Global engagement of AI standards
II. AI tools for Productivity
A. AI personal assistants
B. Automating tasks
C. Facilitating tasks
III. AI tools for Learning
A. AI-enhanced course materials
B. AI-enhanced learning experiences
IV. AI tools for Guidance and Decision-Making
A. AI coaches
B. AI tracking and analysis tools
V. AI Tools for Creativity
A. Generative AI tools
B. AI for ideas and innovation
VI. Personalization Through AI
A. Personalized experiences
B. Personalized interfaces
VII.Relationships with AI
A. Human-computer interactions
B. Motivation and support
C. Mental health
VIII. AI-Powered Devices
A. Wearables
B. Devices
IX. Impact of AI
A. Employment
B. Society
C. Reality
X. Ethics of AI
A. Principles of AI ethics
B. Ethical concerns
C. Destructive AI
XI. Opportunities using AI
Assignments:
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1. Research papers about AI
2. Assignments to describe experiments and usage of AI tools and features.
3. Projects to implement AI applications to solve real world problems, such as workflows or processes.
4. Peer-review assignments
5. Quizzes
6. Class discussions
Methods of Evaluation/Basis of Grade.
| Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing. | Writing
15 - 20% |
| Research papers | |
| Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving
15 - 20% |
| Projects, experiments, usage of AI tools/features | |
| Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations
40 - 50% |
| AI tools and features | |
| Exams: All forms of formal testing, other than skill performance exams. | Exams
0 - 15% |
| Quizzes | |
| Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category
15 - 20% |
| Discussions and peer reviews | |
Representative Textbooks and Materials:
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Instructor prepared materials
OTHER REQUIRED ELEMENTS
| Student Preparation |
| Matric Assessment Required: | | Unknown |
| Prerequisites-generate description: | NP | No Prerequisite |
| Advisories-generate description: | NA | No Advisory |
| Prereq-provisional: | N | NO |
| Prereq/coreq-registration check: | N | No Prerequisite Rules Exist |
| Requires instructor signature: | N | Instructor's Signature Not Required |
| | | |
| BASIC INFORMATION, HOURS/UNITS & REPEATABILITY |
| Method of instruction: | 02 | Lecture |
| Area department: | CS | Computer Studies |
| Division: | 72 | Arts & Humanities |
| Special topic course: | N | Not a Special Topic Course |
| Program Status: | 1 | Both Certificate and Major Applicable |
| Repeatability: | 00 | Two Repeats if Grade was D, F, NC, or NP |
| Repeat group id: | | |
| | | |
| SCHEDULING |
| Audit allowed: | N | Not Auditable |
| Open entry/exit: | N | Not Open Entry/Open Exit |
| Credit by Exam: | N | Credit by examination not allowed |
| Budget code: Program: | 0000 | Unrestricted |
| Budget code: Activity: | 0701 | Computer & Information Science |
| | | |
| OTHER CODES |
| Disciplines: | Computer Information Systems |
| Basic Skills: | N | Not a Basic Skills Course |
| Level below transfer: | Y | Not Applicable |
| CVU/CVC status: | N | Not Distance Ed |
| Distance Ed Approved: | N | |
| Emergency Distance Ed Approved: | N | |
| Credit for Prior Learning: | N | Agency Exam |
| N | CBE |
| N | Industry Credentials |
| N | Portfolio |
| Non-credit category: | Y | Not Applicable, Credit Course |
| Classification: | Y | Career-Technical Education |
| SAM classification: | C | Clearly Occupational |
| TOP code: | 0701.00 | Information Technology, General |
| Work-based learning: | N | Does Not Include Work-Based Learning |
| DSPS course: | N | NO |
| In-service: | N | Not an in-Service Course |
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