Research Analytics GW PUBH 6894

Welcome to the course! Here on GitHub you will find all the assignments (Problem Sets, additional Readings, and Final Project) for the course as well as any data and/or links to software/data to be successful in the assignments. There are instructions for each assignment for each week. All assignments are due on Friday of the week of assignment, except for the first assignment which is due on the Friday of Week 2 along with Week 2's assignment and the Final Project which is due on Wednesday of Week 11. These dates are also listed on the course syllabus and below! You will get the most out of the homework and the course if you work on the problem sets/final project BEFORE the live session each week and bring your questions to the live session. Good luck with the course and have fun with Research Analytics!

Sincerely,

Professor Crandall

Timeline

Deadline Assignment Project Checkpoint Due Date U1 Due Date U3
Week 1 Problem Set 1 12JUL2024 15JUL2024
Week 2 Problem Set 2 12JUL2024 15JUL2024
Week 3 Problem Set 3 19JUL2024 22JUL2024
Week 4 Problem Set 4 02AUG2024 05AUG2024
Week 5 Problem Set 5 09AUG2024 13AUG2024
Week 6 Problem Set 6 16AUG2024 19AUG2024
Week 7 Problem Set 7 Pt. 1: Abstract 23AUG2024 26AUG2024
Week 8 Problem Set 8 Pt. 2: Outline 30AUG2024 02SEP2024
Week 9 Problem Set 9 06SEP2024 09SEP2024
Week 10 Problem Set 10 13SEP2024 16SEP2024
Week 11 Pt. 3: Poster Pt. 3: Poster 20SEP2024 20SEP2024

Additional Readings

For some sessions (2, 3, 4, 7 & 8) there are reading assignments that are not from the course book. These reading assignments can be found under the Readings folder as downloadable pdf files.

Problem Sets

Each week we will work on Problem Sets to help apply the course material for that week to actual data analytics. Below are the Problem Sets (1-10) for the 10 weeks of the course. Be sure to read carefully the details of each problem set and answer all the associated questions. If you have trouble accessing the data for a given problem set, email your instructor with questions or, better yet, bring your questions to the live session.

Problem Set 1: Starting off slow (Due Friday Week 2)

Problem Set 2: Introduction to R (Due Friday Week 2)

Problem Set 3: Data Warehouses (Due Friday Week 3)

Problem Set 4: Data Standards & Ontologies (Due Friday Week 4)

Problem Set 5: Basic Statistics [Data file] (Due Friday Week 5)

Problem Set 6: Databases (Due Friday Week 6)

Problem Set 7: Introduction to Genomics (Due Friday Week 7)

Problem Set 8: Bioinformatics [Data file] (Due Friday Week 8)

Problem Set 9: Descriptive Models [Data file 1] [Data file 2] (Due Friday Week 9)

Problem Set 10: Predictive Models [Data file] (Due Friday Week 10)

Final Project

Part 1: Title & Abstract assignment (Due Friday Week 7) (Upload along with your weekly homework under the same assignment)

Part 2: Outline (Due Friday Week 8)

Part 3: Poster Presentation (Due Week 11)

Part 4: Poster Examples