Section G · College-Preparatory Elective

Machine Learning Foundations - Semester 1

UC A-G approved Machine Learning Foundations - Semester 1 course delivered fully online through immersive VR and AI-enhanced instruction.

1/2 Year Online · Remote / Hybrid / In-Person Mathematics - Computer Science Grades 9, 10, 11, 12 5 credits

Section GUC A‑G Requirement

College-Preparatory Elective — 1 year required

Must be chosen from additional courses in categories A–F (beyond the minimum requirements) OR from other UC-approved college-preparatory electives, including computer science, business, statistics, and interdisciplinary STEM courses.

Why This Matters for College Admission

G electives are where students develop depth and signal academic passion. AI, cybersecurity, data science, and entrepreneurship courses are highly competitive differentiators for tech-oriented admissions profiles.

What You'll Learn

Develop computational thinking skills: decomposition, abstraction, and algorithms

Write, debug, and document code in industry-relevant programming languages

Understand data structures, sorting algorithms, and complexity analysis

Apply mathematics (discrete math, statistics, or calculus) to computing problems

Build working software projects with version control and collaborative workflows

Explore career pathways in software engineering, data science, and AI/ML

Course Structure

Unit 1Weeks 1–4

Foundations & Context

Core vocabulary and concepts
Skill baseline assessment

Unit 2Weeks 5–9

Core Content

Primary content delivery
Applied practice activities

Unit 3Weeks 10–14

Application & Synthesis

Real-world application
Final project or exam prep

Lectures & Reviews

Curated YouTube videos for Machine Learning Foundations - Semester 1

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