Lab in C&P (Fall 2023)
Overview
Syllabus
Schedule
Resources
JupyterHub
EdStem
GitHub
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. Logistic regression
16. Linear Mixed Effect Modeling
17. Mental Imagery, Mental Simulation, and Mental Rotation
18. Magnetic Resonance Imaging
19. What Next?
Labs & Homeworks
Intro to CogSci ICA
Intro to Jupyter (HW1)
Python ICA (Ch 4)
Design ICA (Ch 5)
Python for data (HW2)
Exploring data (HW3)
Signal Detection Theory (Lab 1.1)
Signal Detection Theory (Lab 1.2)
Intro to Regression (Lab 2.A)
Intro to Regression (Lab 2.B)
Intro to Regression (Lab 2.C)
Intro to fMRI (Lab 3)
Tips & Tricks
Python Resources
Plotting in Python Resources
Intro to For loops
NYU JupyterHub Setup
Ultimate t-test guide
About
License
Index
