Relevant Courses offered for Fall 2012
Core Courses:
10-701 Machine Learning
10-705 Intermediate Statistics
15-826 Multimedia Databases and Data Mining
ML Journal Club
10-915, ML PhD students must register if you plan to satisfy either the Speaking Skills or Data Analysis Project (DAP) requirements. Incoming PhD students must register in either their 1st or 2nd semester upon entering the program.
Suggested Research Depth Electives from SCS:
One of three electives is taken from the offerings in Statistics. The other two advanced electives, chosen in consultation with the student's advisor, form a research depth concentration. Approved Research Depth electives are listed below.
Research Depth in Al:
10-725 Optimization
15-857 Analytical Performance Modeling & Design of Computer Systems
15-887 Planning, Execution, and Learning
Research Depth in Algorithms & Theory:
10-725 Optimization
16-811 Mathematical Fundamentals for Robotics
Research Depth in Computational Biology:
02-750 Automation of Biological Research: Robotics & Machine Learning
02-711 Computational Molecular Biology & Genomics
Research Depth in Computer Vision:
10-725 Optimization
16-720 Computer Vision
Research Depth in NLP or Text Analysis:
11-711 Algorithms for NLP
10-802/11-772 Analysis of Social Media
Research Depth in Robotics:
02-750 Automation of Biological Research: Robotics & Machine Learning
15-887 Planning, Execution, and Learning
16-811 Mathematical Fundamentals for Robotics
16-831 Statistical Techniques in Robotics
Approved Electives but haven't been assigned a category:
11-755 Machine Learning for Signal Processing
15-830 Computational Methods in Sustainable Energy
Suggested Electives from Statistics
(one elective or courses combined for a total of 12 units must be chosen from Statistics)
36-707 Regression Analysis
36-720 Discrete Multivariate Analysis, 6 units A2 mini
36-737 Applied Multilevel & Hierarchical Models, A2 mini
36-755 Advanced Statistical Theory 1