JolokLabsEngineering & Computing
AI Assisted Engineering Workflows
Use AI to draft code and technical documentation while checking every engineering result. Learn prompt engineering for physical systems, unit auditing, formula derivation checks, and building human-verified analysis logs.
Syllabus & Learning Objectives
Each module follows the JolokLabs methodology: physical question first, numerical method second, and reproducible error check third.
Module 1
Prompting for Physical Sciences (Specifying units, boundary conditions, and test cases)
Module 2
Code Auditing and Unit Verification (Catching silent conversion and dimensional errors)
Module 3
Derivation and Formula Checking (Symbolic checks and sanity testing with SymPy)
Module 4
Synthetic Data Generation (Generating test cases with known analytical solutions)
Module 5
Evidence-Backed Technical Writing (Documenting AI contributions and review audit trails)
Module 6
Capstone: Audited Engineering Memo (Reproducible analysis with explicit verification log)
Why JolokLabs Courses Are Different
Physical Intuition First
Start every engineering problem with governing mechanics, units, and boundary conditions before opening code.
Reproducible Code & Data
Real datasets (e.g. NASA C-MAPSS, ArduPilot SITL) without data leakage, synthetic shortcuts, or arbitrary assumptions.
Human-Audited Verification
Master error diagnosis, residual validation, and defensible engineering reports you can explain to a committee or manager.