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Lab in C&P (Fall24)

Overview

Syllabus
Schedule

Resources

JupyterHub
EdStem (discussion)
GitHub
Video Lectures

Textbook

1. What is Cognitive Science and how do we study it?
2. Why do we have to learn statistics?
3. Introduction to Jupyter
4. Intro to Python for Psychology Undergrads
5. A brief introduction to research design
6. The Format and Structure of Digital Data
7. Visualizing Data
8. Describing Data
9. Samples, populations and sampling
10. Hypothesis testing
11. Comparing one or two means
12. Measuring Behavior
13. Research Ethics
14. Linear regression
15. Mental Imagery, Mental Simulation, and Mental Rotation
16. What Next?

Labs & Homeworks

Intro to Jupyter (HW1)
Python ICA (Ch 4)
Design ICA (Ch 5)
Python for data (HW2)
Data ICA (Ch 6)
Exploring Data Lab (HW3)
Sampling ICA (Ch 9)
Hypotheses ICA (Ch 10)
t-test ICA (Ch 11)
Signal Detection Theory (Lab 1.1)
Signal Detection Theory (Lab 1.2)
Intro to Regression (Lab 2.1)
Advanced Regression (Lab 2.2)
Mental Rotation (Lab 2.2)

Tips & Tricks

Python Resources
Plotting in Python Resources
Intro to For loops
NYU JupyterHub Setup
Ultimate t-test guide

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By Todd M. Gureckis
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