Foundations of Quantum Mechanics
Skills:
ML Maths Basics80%
This course can also be taken for academic credit as ECEA 5610, part of CU Boulder’s Master of Science in Electrical Engineering degree.
This course covers the fundamental concepts and topics of quantum mechanics which include basic concepts, 1D potential problems, time evolution of quantum states, and essential linear algebra. It provides undergraduate level foundational knowledge and build on them more advanced topics.
At the end of this course learners will be able to:
1. demonstrate full grasp of basic concepts in quantum mechanics including wave-particle duality, operators and wavefunctions, and evolution of quantum states,
2. achieve mastery of the mathematical apparatus needed for quantum mechanics and
3. attain foundational knowledge required to learn more advanced quantum mechanics and applications.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Maths Basics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Role of Model Architecture In Inference — Inference Series
Medium · Machine Learning
Role of Model Architecture In Inference — Inference Series
Medium · Deep Learning
What isn’t said clearly
cannot be relied on as truth.
Medium · Deep Learning
The Idempotency Nightmare in AI Pipelines: Data Loss and Recovery
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI