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Training Areas

Not for me    
Maybe    
Hell yes!


Note

COMS W4995 and COMS W6998 are "Topics Courses" where the topics vary by section. More info on the CS Department's website.

Information Technology​

TermCourseTitle
BIST P8105Data Science
COMS W4111Introduction to Databases
COMS W4181Security I
COMS W4156Advanced Software Engineering
Fall SpringCOMS W4444[a]Programming and Problem Solving
COMS W4995Networks and Crowds
COMS W4995Introduction to Data Visualization
SpringCOMS E6111Advanced Database Systems
COMS E6998Cloud & Big Data
COMS E6998High Perf Machine Learning
COMS 6998Machine Learning Datasets
CSOR W4231Analysis of Algorithms
CSOR W4246Algorithms for Data Science
EAEE E4009GIS-Research, Environment, Infrastructure Management
EECS E6893Information Processing: Big Data Analytics
ELEN E6883An Introduction to Blockchain Technology
GR5243/GU4243Applied Data Science – Hands-on Machine Learning with Python
IEOR 4526Analytics on the Cloud
IEOR E4575Operations Research: Policy for Privacy Technologies
?IEOR E6998 001Special Topics in Computer Science: Privacy Preserving Systems
?QMSS G4063[b]Data Visualization
STAT GR5702Exploratory Data Analysis and Visualization

[a] Strange class! All Projects. Prof will select people when you register; no guarantee! 34 people only
[b] Might be hard to get into.

Qualitative​

TermCourse CodeCourse Title
BIET PS5400Clinical Ethics
?BINF G4008 001[3]Intelligent Decision Support: History, Paradigms, Applications
?BINF G4008 002Interrogating Ethics and Justice in Digital Health
SpringBINF G5000Quality in Health Care
SpringBINF G6002[1]Research Methods
SpringCOMS E6178Human Computer Interaction
Fall SpringCOMS W4170User Interface Design
SpringNURS N9352Qualitative Research Design & Methods
ORLJ 4009Understanding Behavioral Research
ORLJ 5018Using Survey Research in Organizational Consulting
ORL 6500Qualitative Research Methods in Organizations: Design and Data Collection
ORL 6501Qualitative Research Methods in Organizations: Data Analysis and Reporting
ORL 6518Methods of Case Study and Analysis
SpringPOPF 8617Research Design & Data Collection
POPF 8679Investigative Methods in Complex Emergencies
SOSC P8912Sociomedical Sciences Applied Qualitative Research Methods
B9506-001 (PhD)Organizational Behavior

[1] Core class for the clinical track; you'll be taking this whether you like it or not 😅 Sounds challenging and awesome!
[3] Looks like a fantastic survey of decision systems. Not sure which semester it's offered.

Quantitative​

TermCourse CodeCourse Title
Fall SpringAPMA E4300Computational Math: Introduction to Numerical Methods
?BINF GU4008 003Special Projects: Advanced Machine Learning for Health and Medicine
?BINF G4019Computational Epidemiology
?BINF G5001Data Science for Mobile Health
Fall SpringBIST P6104/P6114[3]Introduction to Biostatistical Methods
BIST P8110Applied Regression II
Fall SpringBIST P8116Design of Medical Experiments
?BIST P8122Statistical Methods for Causal Inference
Fall SpringBIST P8124[4]Graphical Models for Complex Health Data
Fall SpringBIST P8157Longitudinal Data Analysis
Fall SpringBIST P9120Topics in Statistical Learning and Data Mining
BMEB W4020Comp Neuro: Circuits In Brain
BMEN E4460Deep Learning in Biomedical Imaging
BMEN E4480Statistical Machine Learning for Genomics
CHEN 4180Machine Learning for Biomolecular and Cellular Applications
CMBS 5305Topics in Mathematical Genomics and Biology
COMS E6998 005Topics in Computer Science: Representation Learning
Fall SpringCOMS W4705[1]Natural Language Processing
SpringCOMS W4721Machine Learning for Data Science
COMS W4761Computational Genomics
COMS W4762Machine Learning for Functional Genomics
COMS W4771[9]Machine Learning
COMS W4772[7]Advanced Machine Learning or Topics: Information Processing: From Data to Solutions
FallCOMS W4775[6]Causal Inference I
?COMS W4995Applied Deep Learning
COMS W4995Applied Machine Learning
?COMS W4995Causal Inference for Data Science
?COMS W4995Machine Learning Functional Genomics
COMS W4995 010Topics in Computer Science: Mathematics of Machine Learning and Signal Recognition
COMS 6998-7Statistical Methods for NLP
Fall SpringECBM E4040[5]Neural Networks and Deep Learning
?EECS E6691Advanced Deep Learning
?EECS E6720[8]Bayesian Models for Machine Learning
EECS E6893Big Data Analytics
ELEN E4903Machine Learning
HBSS 4199 or HBSS 4160Introduction to Biostatistics (Teachers College)
IEOR E4540Data Mining
IEOR 4720Deep Learning
IEOR 4742Deep Learning for OR and FE
POLS GU4716Quantitative Methods II: Applied Regression and Causal Inference
QMSS GR5063 or QMSS G4063Data Visualization
QMSS G5016Regression Modeling of Temporal Processes
QMSS GR5058Data Mining For Social Science
QMSS GR5067Natural Language Processing for Social Sciences
STAT W4026Applied Data Mining
STAT W4107 or STAT GU4204Statistical Inference
STAT W4240Data Mining
STAT G6104Applied Statistics
STAT G6509/GR6701[2]Foundations of Graphical Models

[1] Too close to the DBMI classes on Tue/Thu
[2] Looks really awesome. Great instructor reviews. PhD-level, however.
[3] To be taken if you eat a failburger on the BINF G4000 placement exam.
[4] Conflict with BINF classes in Fall...
[5] Requires basic ML knowledge. No restrictions other than waitlist.
[6] Here's a review. This seems like a very important class to take.
[7] Ummm...
[8] Here's the syllabus. Couldn't find it on Vergil.
[9] Check out this FAQ. Obviously a popular course and the instructor appears to have had it 😅

Other Notes​