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Overview
Syllabus
Schedule for Section 2
Assignment Schedule
Resources
JupyterHub
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 by Bob
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. Correlation
14. Research Ethics
15. The Replication Crisis in Psychology
16. Linear regression
17. Logistic regression
18. Linear Mixed Effect Modeling
19. Mental Imagery, Mental Simulation, and Mental Rotation
20. Magnetic Resonance Imaging
21. What Next?
In-class Assignments
Python ICA (Ch 4)
Design ICA (Ch 5)
Data ICA (Ch 6)
Visualization ICA (Ch 7)
Sampling ICA (Ch 9)
Hypotheses ICA (Ch 10)
t-test ICA (Ch 11)
Homeworks
Homework 1 - Welcome to the class tools
Homework 2 - Python for data analysis
Homework 3 - Exploring Data
Tips & Tricks
Python Resources
print
vs.
return
Plotting in Python Resources
Intro to For loops
NYU JupyterHub Setup
Ultimate t-test guide
About
License
Index
