Lessons

0. Preparing computing resources for the course
1. The cycle of science
2. Version control with Git
3. Introduction to Python
4. Style
5. Test-driven development
6. Exploratory data analysis
7. Data storage and sharing
8. Data wrangling
9. Intro to probability
10. Overplotting
11. Dashboards
12. Plug-in estimates and confidence intervals
13. Random number generation
14. Probability distributions
15. Null hypothesis significance testing
16. Nonparametric inference with hacker stats
17. Parametric inference
18. Maximum likelihood estimation
19. Model assessment
20. Regression
21. Reproducible workflows
22. The paper of the future
23. Mixture models
24. Implementation of model assessment
25. Statistical watchouts

Recitations

R1. The command line
R2. Git/Github tips and traps
R3. Time series and data smoothing
R4. Manipulating data frames
R5. Intro to image processing
R6. Probability review
R7. Topics in bootstrapping
R8. Wild and residual bootstrap
R9. Packaging and package management

Homework

0. Configuring your team
1. Practice with Python
2. Exploratory data analysis I
3. Exploratory data analysis II
4. Dashboards
5. Random number generation and probability distributions
6. Nonparametric hacker stats
7. Parametric inference
8. Maximum likelihood estimation
9. Model comparison
10. Course feedback

Schedule

Schedule overview
Homework due dates
Lesson exercise due dates
Weekly schedule

Policies

Meetings
Lab sessions
Lessons and lesson exercises
The BE/Bi 103 GitHub group
Homework
Grading
Collaboration policy and Honor Code
Excused absences and extensions
Course communications

BE/Bi 103 a

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7. Data storage and sharing
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7. Data storage and sharing¶

Tom Morrell gave a guest lecture on data storage and sharing best practices. The slides may be found here.

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Last updated on Aug 29, 2021.

© 2020 Justin Bois and BE/Bi 103 a course staff. With the exception of pasted graphics, where the source is noted, this work is licensed under a Creative Commons Attribution License CC-BY 4.0. All code contained herein is licensed under an MIT license.

This document was prepared at Caltech with financial support from the Donna and Benjamin M. Rosen Bioengineering Center.

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