6 courses at MIT
4,086 6 courses at Massachusetts Institute of Technology, with prerequisites, ratings, workload, and what each one unlocks.
Showing 201–250 of 430
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- 6.7710Discrete Stochastic Processes4 credits
2 prerequisites
- 6.7720[J] Discrete Probability and Stochastic Processes3 credits
5 prerequisites
- 6.7730Modern Mathematical Statistics (New)3 credits
5 prerequisites
- 6.7740[J] Mathematical Statistics: a Non-Asymptotic Approach (New)3 credits
3 prerequisites
- 6.7800Inference and Information4 credits
3 prerequisites
- 6.7810Algorithms for Inference4 credits
unlocks 2 courses · 4 prerequisites
- 6.7820[J] Graphical Models: A Geometric, Algebraic, and Combinatorial Perspective3 credits
2 prerequisites
- 6.7830Bayesian Modeling and Inference3 credits
2 prerequisites
- 6.7900Machine Learning3 credits
unlocks 6 courses · 4 prerequisites
- 6.7910[J] Statistical Learning Theory and Applications3 credits
3 prerequisites
- 6.7920[J] Reinforcement Learning: Foundations and Methods4 credits
1 prerequisite
- 6.7930[J] Machine Learning for Healthcare4 credits
unlocks 1 course · 5 prerequisites
- 6.7940Dynamic Programming and Reinforcement Learning4 credits
2 prerequisites
- 6.7960Deep Learning3 credits
unlocks 2 courses · 3 prerequisites
- 6.7970[J] Symmetry and its Applications to Machine Learning (New)3 credits
2 prerequisites
- 6.8110[J] Cognitive Robotics3 credits
4 prerequisites
- 6.8120Tissues vs. Silicon in Machine Learning3 credits
1 prerequisite
- 6.8200Sensorimotor Learning3 credits
2 prerequisites
- 6.8210Underactuated Robotics3 credits
2 prerequisites
- 6.8300Advances in Computer Vision3 credits
unlocks 1 course · 4 prerequisites
- 6.8301Advances in Computer Vision4 credits
3 prerequisites
- 6.8370Advanced Computational Photography3 credits
1 prerequisite
- 6.8371Digital and Computational Photography3 credits
1 prerequisite
- 6.8410Shape Analysis3 credits
3 prerequisites
- 6.8420Computational Design and Fabrication3 credits
1 prerequisite
- 6.8510Intelligent Multimodal User Interfaces3 credits
2 prerequisites
- 6.8530Interactive Data Visualization3 credits
1 prerequisite
- 6.8610Quantitative Methods for Natural Language Processing3 credits
2 prerequisites
- 6.8611Quantitative Methods for Natural Language Processing4 credits
unlocks 2 courses · 2 prerequisites
- 6.8620[J] Spoken Language Processing3 credits
2 prerequisites
- 6.8630[J] Natural Language and the Computer Representation of Knowledge3 credits
- 6.8700[J] Advanced Computational Biology: Genomes, Networks, Evolution4 credits
2 prerequisites
- 6.8701[J] Computational Biology: Genomes, Networks, Evolution3 credits
unlocks 1 course · 2 prerequisites
- 6.8710[J] Computational Systems Biology: Deep Learning in the Life Sciences3 credits
2 prerequisites
- 6.8711[J] Computational Systems Biology: Deep Learning in the Life Sciences3 credits
2 prerequisites
- 6.8720[J] Principles of Synthetic Biology3 credits
- 6.8721[J] Principles of Synthetic Biology3 credits
- 6.8800[J] Biomedical Signal and Image Processing3 credits
5 prerequisites
- 6.8801[J] Biomedical Signal and Image Processing3 credits
5 prerequisites
- 6.8810[J] Data Acquisition and Image Reconstruction in MRI3 credits
1 prerequisite
- 6.8830[J] Signal Processing by the Auditory System: Perception3 credits
3 prerequisites
- 6.8850[J] Clinical Data Learning, Visualization, and Deployments3 credits
2 prerequisites
- 6.9000Engineering for Impact2 credits
3 prerequisites
- 6.9010Introduction to EECS via Interconnected Embedded Systems1 credit
unlocks 1 course · 1 prerequisite
- 6.9020[J] How to Make (Almost) Anything3 credits
- 6.9030Strobe Project Laboratory2 credits
- 6.9080Introduction to EECS via Robotics2 credits
unlocks 7 courses · 1 prerequisite
- 6.9101[J] Introduction to Design Thinking and Innovation in Engineering2 credits
- 6.9110Engineering Leadership Lab0 credits
unlocks 3 courses
- 6.9120Engineering Leadership1 credit
unlocks 3 courses