Course Outline of Record

Item	Value
Eff Term	Fall 2026
Curriculum Committee Approval Date	12/03/2025
Top Code	061410 - Multimedia (CTE)
Units	3 Total Units (Lecture Units 2;  Lab/Other Units 2)
Hours	90 Total Hours (Lecture Hours 36; Lab Hours 54)
Total Outside of Class Hours	72
Total Student Learning Hours	162
Course Credit Status	Credit: Degree Applicable (D)
Material Fee	No
Basic Skills	Not Basic Skills (N)
Repeatable	No
Open Entry/Open Exit	No
Grading Policy	Standard Letter (S)

Course Description

An introduction to Artificial Intelligence tools and workflows used by creative developers in film, games, animation, and immersive media. Students will explore AI-assisted processes for asset generation, procedural content design, texturing, sound design, scripting, and narrative development. Emphasis is placed on ethical usage, authorship, and copyright considerations, as well as understanding how to incorporate AI safely and effectively into production pipelines. Through lectures, demonstrations, and projects, students will create original works using AI tools such as generative text, image, audio, code, and 3D systems to support more efficient creative production. Transfer Credit: CSU; UC.

Course Level Student Learning Outcome(s)

1. Evaluate and apply AI tools for improving creative workflows in game and film production.
2. Demonstrate proficiency using AI-assisted systems for content generation such as texture creation, 3D modeling, or code development.
3. Identify and apply ethical standards, legal constraints, and best practices for AI use in digital media production.
4. Develop a final creative project integrating AI into a professional production pipeline.

Course Objectives

• Define key terms and concepts related to Artificial Intelligence and its application in creative industries.
• Explore the use of AI tools for coding assistance, shader generation, and automation of technical tasks.
• Implement AI workflows for visual content generation—including concept art, textures, materials, and 3D assets.
• Integrate AI-driven tools for storytelling, dialogue generation, and previsualization in film and game prototypes.
• Examine AI audio generation for sound effects, music composition, and voice synthesis.
• Assess AI’s role in procedural generation for environments, characters, and game systems.
• Critically evaluate ethical, legal, and creative implications of AI in professional production.
• Create a professional AI-assisted project demonstrating a balanced approach to innovation and authorship.

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Lecture Content

Content – Lecture

I. Foundations of Artificial Intelligence
 A. Machine learning and generative systems overview
 B. History of AI in digital media production

II. AI in Creative Pipelines
 A. Coding assistants and automation tools (e.g., ChatGPT, GitHub Copilot)
 B. Procedural modeling, scripting, and optimization

III. AI for Visual Production
 A. Concept art, style transfer, and worldbuilding tools
 B. Texture and material creation using AI-based systems
 C. 3D model generation and retopology with AI

IV. AI in Film and Game Previsualization
 A. Script and story generation
 B. AI-assisted storyboarding and animatics
 C. Camera simulation and layout previsualization

V. AI for Audio Design
 A. Generating music, sound effects, and dialogue
 B. Voice synthesis and character performance

VI. Ethics and Responsibility
 A. Copyright, originality, and attribution
 B. Bias, authenticity, and misinformation in AI content
 C. Environmental and workforce considerations

VII. Professional Integration
 A. Pipeline design and workflow optimization
 B. Collaborative and cross-department AI integration

VIII. Capstone Project
 A. Designing an AI-assisted short film, interactive prototype, or asset suite
 B. Presentation and peer critique

Lab Content

Content – Lab

1. Practice with generative AI tools for text, image, and 3D content.

2. Develop AI-assisted scripts, shaders, or level design systems.

3. Create textures, materials, or models using AI workflows.

4. Generate and integrate AI audio into film or game projects.

5. Apply ethics review and documentation for all project assets.

6. Build a final AI-assisted portfolio project demonstrating multi-tool integration.

Method(s) of Instruction

• Lecture (02)
• Lab (04)

Instructional Techniques

1. Lecture 2. Demonstration 3. Video examples 4. One-on-one instruction 5. Individual assignments 6. Group assignments 7.Assignment critique 8. Examinations

Reading Assignments

Case studies, articles on AI ethics, and technical documentation for AI tools.

Writing Assignments

Ethical reflections, project documentation, and short essays analyzing AI workflows.

Out-of-class Assignments

2–3 hours weekly of AI experimentation, pipeline development, or project iteration.

Study Non-Contact Hours Recommended

72

Methods of Student Evaluation

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

Demonstration of Critical Thinking

Students will demonstrate critical thinking through the analysis, evaluation, and application of Artificial Intelligence tools within creative development pipelines. They will be required to assess the strengths and limitations of various AI systems and determine appropriate, ethical uses in professional production environments. Through project-based assignments, students will: 1. Critically analyze how AI-generated content affects authorship, originality, and creative integrity. 2. Evaluate workflows that combine human creativity and AI assistance to improve efficiency and production quality. 3. Apply problem-solving techniques to integrate AI outputs into existing film or game production pipelines. 4. Reflect on ethical dilemmas surrounding copyright, bias, and fair use in AI-generated media. Demonstrations of critical thinking will occur through written reflections, comparative tool analysis, and the design of an original project that balances innovation, authorship, and responsibility in the use of AI for creative media production.

Required Writing, Problem Solving, Skills Demonstration

Writing: Students will complete short ethical reflections, and project documentation analyzing the role of Artificial Intelligence in creative workflows. Writing assignments may include comparative evaluations of AI tools, analyses of workflow efficiency, or reports on ethical considerations and intellectual property. Students will also document their production process for the final project, describing how AI tools were integrated responsibly into their creative pipeline. Problem Solving: Students will apply critical thinking and technical problem-solving to real-world creative challenges by integrating AI tools into the development of assets, scripts, textures, or sound. They will learn to troubleshoot workflow issues, optimize results between AI-generated and manually created assets, and identify limitations of various AI systems. Through iterative testing and refinement, students will develop solutions that enhance productivity while maintaining creative intent and professional integrity. Skills Demonstration: Students will demonstrate mastery by completing hands-on projects utilizing AI-assisted tools for one or more areas of creative development—such as coding, visual design, audio production, or storytelling. Each student will produce a final capstone project that integrates AI into a professional workflow, showcasing their technical proficiency, originality, and ethical awareness. Evaluation will be based on the creative application of AI, production quality, and the student’s ability to explain their decision-making process in written and verbal critiques.

Resources Subscreen

• Other: . . ().

Eligible Discipline(s)

• Commercial art (sign making, lettering, packaging, rendering): 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.
• Multimedia: Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.