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SofAI Course Constellation
Search once. SofAI connects VR School UC A-G courses, Stanford Online planning, CVC dual enrollment, MIT OCW enrichment, School of AI, personal finance, VR labs, and iBuildme into one counselor-ready journey.
A strong "Computer science and robotics" pathway should begin with VR School UC A-G coverage, then add counselor-reviewed Stanford Online and CVC options, MIT OCW enrichment, and visible iTeachXR/iBuildme evidence.
One journey
This recommendation engine reads The VR School course catalog, Stanford Online planning entries, MIT OCW catalog data, CVC planning logic, personal finance curriculum, and SofAI knowledge generation. As new courses and docs are added, rerunning the SofAI knowledge build makes the assistant aware of the expanding ecosystem.
UC A-G and WASC planning through native VR School courses.
CVC and Stanford Online options routed through counselor review.
MIT OCW, School of AI, and VR labs for deeper proof.
iTeachXR and iBuildme turn the work into a durable story.
Recommendations
The primary action stays inside The VR School. Source links are secondary, because the student journey should feel integrated rather than scattered across disconnected websites.
UC A-G approved Introduction to Robotics and Programmable Systems - Semester 1 course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Introduction to Robotics and Programmable Systems - Semester 2 course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Advanced Computer Science with AI Agents course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Artificial Intelligence & Machine Learning Honors course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Introduction to Artificial Intelligence Honors: Informatics course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Intro to Cybersecurity course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved AI Literacy course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
UC A-G approved Artificial Intelligence and Machine Learning Fundamentals - Semester 1 course delivered fully online through immersive VR and AI-enhanced instruction.
Native VR School UC A-G / WASC course planning.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use. Save the finished proof in iTeachXR and iBuildme.
A rigorous pathway into algorithmic thinking, efficiency, graph reasoning, and problem solving.
Counselor-reviewed Stanford Online planning for UC A-G, dual-enrollment, onsite, or enrichment treatment.
Create an algorithm visualizer, proof walkthrough, or benchmark notebook.
A theory-rich course for students who want to understand computation, languages, and proofs.
Counselor-reviewed Stanford Online planning for UC A-G, dual-enrollment, onsite, or enrichment treatment.
Build a visual proof notebook that explains finite automata or computability to a peer.
A builder's path into programming languages, parsing, runtime design, and how code becomes execution.
Counselor-reviewed Stanford Online planning for UC A-G, dual-enrollment, onsite, or enrichment treatment.
Create a tiny language, parser, or compiler demo with a narrated walkthrough.
A friendly on-ramp to computing concepts, code, data, and how software changes the world.
Counselor-reviewed Stanford Online planning for UC A-G, dual-enrollment, onsite, or enrichment treatment.
Build a small website or code notebook explaining one real-world computing idea.
A deeper treatment of data models, constraints, query logic, and the theory behind reliable data systems.
Counselor-reviewed Stanford Online planning for UC A-G, dual-enrollment, onsite, or enrichment treatment.
Write a technical brief comparing data models for one authentic school or community use case.
This course covers the fundamentals of deep learning, including both theory and applications. Topics include neural net architectures (MLPs, CNNs, RNNs, graph nets, transformers), geometry and invariances in deep learning, backpropagation and automatic differentiation, learning theory and generalization in high dimensions, and applications to computer vision, natural language processing, and robotics.
Enrichment, mastery preparation, and portfolio evidence unless advising approves supervised transcript treatment.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use.
This course focuses on the algorithms for analyzing and designing geometric foldings. Topics include reconfiguration of foldable structures, linkages made from one-dimensional rods connected by hinges, folding two-dimensional paper (origami), and unfolding and folding three-dimensional polyhedra. Applications to architecture, robotics, manufacturing, and biology are also covered in this course. Acknowledgments Thanks to videographers Martin Demaine and Jayson Lynch.
Enrichment, mastery preparation, and portfolio evidence unless advising approves supervised transcript treatment.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use.
LEGO® robotics uses LEGO®s as a fun tool to explore robotics, mechanical systems, electronics, and programming. This seminar is primarily a lab experience which provides students with resources to design, build, and program functional robots constructed from LEGO®s and a few other parts such as motors and sensors.
Enrichment, mastery preparation, and portfolio evidence unless advising approves supervised transcript treatment.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use.
This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering. Machine vision has applications in robotics and the intelligent interaction of machines with their environment. Students taking the graduate version complete additional assignments.
Enrichment, mastery preparation, and portfolio evidence unless advising approves supervised transcript treatment.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use.
Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.
Enrichment, mastery preparation, and portfolio evidence unless advising approves supervised transcript treatment.
Build a prototype, model card, notebook, or demo that proves technical judgment and responsible AI use.
Use School of AI projects to make technical literacy, agentic workflows, model evaluation, and responsible AI visible.
VR School program and portfolio evidence layer.
Create a School of AI artifact that pairs with the recommended UC A-G, Stanford, CVC, or MIT course.
Convert course choices, artifacts, media, recommendations, and transcript planning into a living applicant profile.
Applicant-intelligence layer, not an official transcript by itself.
Save the final course constellation, artifacts, reflections, and advisor questions as an iBuildme packet.
This usually strengthens laboratory science, health science, or STEM preparation.
Possible official college-credit pathway after VR School advising, permission, college registration, completion, and transcript routing.
Official college transcript after completion VR School graduation requirement mapping Portfolio artifact or reflection that explains why the course supports the student's academic story SofAI study plan tied to weekly workload, prerequisites, and next course
This usually strengthens laboratory science, health science, or STEM preparation.
Possible official college-credit pathway after VR School advising, permission, college registration, completion, and transcript routing.
Official college transcript after completion VR School graduation requirement mapping Portfolio artifact or reflection that explains why the course supports the student's academic story SofAI study plan tied to weekly workload, prerequisites, and next course
Turn course concepts into spatial labs, simulations, oral defenses, and visual explanations.
Portfolio and learning-evidence layer that strengthens transcript courses.
Record a spatial explanation or lab reflection that shows the student can teach the idea back.
This usually supports the math sequence, STEM readiness, or quantitative reasoning.
Possible official college-credit pathway after VR School advising, permission, college registration, completion, and transcript routing.
Official college transcript after completion VR School graduation requirement mapping Portfolio artifact or reflection that explains why the course supports the student's academic story SofAI study plan tied to weekly workload, prerequisites, and next course
This usually supports English, composition, communication, or college-readiness goals.
Possible official college-credit pathway after VR School advising, permission, college registration, completion, and transcript routing.
Official college transcript after completion VR School graduation requirement mapping Portfolio artifact or reflection that explains why the course supports the student's academic story SofAI study plan tied to weekly workload, prerequisites, and next course
SofAI packet
Copy this intent into SofAI or open the transcript planner. The point is not a list; it is a sequence, an evidence plan, and a clean set of human review questions.
Guardrails
Do not promise UC/CSU acceptance, transferability, AP outcomes, Stanford admission, MIT credit, or instant CVC enrollment.
Official credit, dual enrollment, onsite meetings, and transcript treatment require The VR School counselor and registrar review.
MIT OCW is enrichment unless advising approves a supervised treatment.
Stanford Online planning must not imply Stanford University endorsement, admission, guaranteed instructor access, or automatic credit.
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91% Math · 89% Science · 86% ELA · WASC · UC A-G
