Browse Classical Mechanics Courses
Rice University
Skills you'll gain: Mathematics, Problem Solving
Multiple educators
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Python Programming, Regression, Statistical Machine Learning, Mathematics, Tensorflow, Critical Thinking, Network Model, Training, Reinforcement Learning
Stanford University
Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Programming, Problem Solving, Graph Theory, Mathematics, Data Structures, Computational Thinking, Mathematical Theory & Analysis, Critical Thinking, Computational Logic, Programming Principles, Software Engineering
- Status: Free
University of Maryland, College Park
- Status: Free
École normale supérieure
The University of Sydney
The Hong Kong University of Science and Technology
Coursera Project Network
- Status: Free
University of Michigan
Skills you'll gain: Mathematics, Algebra, Continuous Integration, Critical Thinking, Problem Solving, Computer Programming
- Status: Free
Georgia Institute of Technology
Skills you'll gain: Mathematics, Problem Solving
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Mathematics, Problem Solving, Differential Equations, Calculus, Mathematical Theory & Analysis
- Status: Free
Carnegie Mellon University
In summary, here are 10 of our most popular classical mechanics courses
- Introduction to Mechanics:Â Rice University
- Machine Learning:Â DeepLearning.AI
- Algorithms:Â Stanford University
- Exploring Quantum Physics:Â University of Maryland, College Park
- Statistical Mechanics: Algorithms and Computations: École normale supérieure
- Introduction to Linear Algebra:Â The University of Sydney
- Understanding Modern Physics II: Quantum Mechanics and Atoms:Â The Hong Kong University of Science and Technology
- Computational Fluid Mechanics - Airflow Around a Spoiler:Â Coursera Project Network
- The Finite Element Method for Problems in Physics:Â University of Michigan
- Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion:Â Georgia Institute of Technology