| Week | Date | Activity | Material | Work Due |
|---|---|---|---|---|
| 1 | Tue 05-Sep | Lab 1 | Broad overview & in-person software set-up | |
| Before next class (self-directed) |
Textbook Readings & Video Lessons |
About This Course Getting Started Computer Set-up |
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| Mon 11-Sep | Task | Assignment 1 | ||
| 2 | Tue 12-Sep | Lab 2 | Tutorials (as required/requested), Q&A, General Check-In | |
| Thu 14-Sep | Task | Self-Assessment 1 | ||
| Before next class | Readings, Workbooks, & Videos | Variables & Assignment Data Types & Conversion Python Built-ins Lists Dictionaries |
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| 3 | Tue 19-Sep | Lab 3 | Tutorials, Q&A | |
| Thu 21-Sep | Task | Assignment 2 | ||
| Before next class | Readings, Workbooks, & Videos | For Loops Conditionals pandas DataFrames Looping Over Data Files |
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| 4 | Tue 26-Sep | Lab 4 | Tutorials, Q&A | |
| Thu 28-Sep | Tasks | Demo 1 Self-Assessment 2 |
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| Before next class | Readings, Workbooks, & Videos | AI-Assisted Coding Introduction to GitHub Copilot Exercises — Reaction Time Data Working With Multiple Data Files Using Copilot |
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| 5 | Tue 03-Oct | Lab 5 | Tutorials, Q&A | |
| Before next class | Readings, Workbooks, & Videos | Visualization with Matplotlib Procedural versus Object-Oriented Plotting in Matplotlib Subplots Thinking About Data Types Seaborn Human Factors in Visualization |
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| 6 | Tue 10-Oct | Lab 6 Task |
Tutorials, Q&A | Demo 2 |
| Thu 12-Oct | Task | |||
| Before next class | Readings, Workbooks, & Videos | Intro to EDA & Repeated Measures Data Data Cleaning and Outliers t Tests |
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| 7 | Tue 17-Oct | Lab 7 | Project 1 in-class work & question time | |
| Thu 19-Oct | Tasks | Self-Assessment 3 | ||
| Before next class | Work on project 1 this week | |||
| 8 | Tue 24-Oct | Lab 8 | Project 1 in-class work & question time | |
| Thu 26-Oct | Task | Project 1 Project 1 Peer Assessment Self-Assessment 4 |
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| Before next class | Single Unit Data & Spike Trains Introduction to Spike Train Data Ten Intensities Heat Maps |
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| 9 | Tue 31-Oct | Lab 9 | Tutorials (as required/requested), Q&A, General Check-In | |
| Thu 02-Nov | Task | Assignment 3 (release: Oct 26) | ||
| Before next class | Readings, Workbooks, & Videos | Introducing Multielectrode Data Multielectrode Data in pandas Correlating Spike Trains |
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| 10 | Tue 07-Nov | Lab 10 | Tutorials, Q&A | |
| Thu 09-Nov | Tasks | Self-Assessment 5 Portfolio Submission 1 (optional) |
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| Before next class | Readings, Workbooks, & Videos | EEG Data: From Intro to ERPs (inclusive) MNE-Python & Data Structures EEG-ERP Preprocessing Group ERP Analysis |
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| ··· | 13-Nov - 17-Nov |
Reading Week | ||
| Tue 14-Nov | Task | Assignment 4 (release: Nov 7) |
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| 11 | Tue 21-Nov | Lab 11 | Tutorials, Q&A | |
| Thu 23-Nov | Task | Assignment 5 (release: Nov 16) | ||
| Before next class | Readings, Workbooks, & Videos | Neuroimaging Data (structural & functional MRI) | ||
| 12 | Tue 28-Nov | Lab 12 | Project 2 work/question time | |
| Thu 30-Nov | Tasks | Self-Assessment 6 Portfolio Submission 2 (optional) |
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| 13 | Tue 05-Dec | Lab 13 | Project 2 work/question time | |
| Thu 07-Dec | Task | Project 2 (release: Nov 23) Project 2 Peer Assessment |
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| Thu 07-Dec | Term is over! |