Lab in C&P

  • Home
  • Syllabus
  • Schedule

  • Resources

  • JupyterHub
  • Piazza
  • GitHub repository

  • Textbook

  • 1. What is Cognitive Science?
  • 2. Why Statistics?
  • 3. Intro to Research Design
  • 4. Describing Numbers
  • 5. Probability, Sampling, and Estimation
    • 5.1 Probability
    • 5.2 Sampling
    • 5.3 Estimation
  • 6. Correlation
  • 7. Regression
  • 8. Mental Imagery and Simulation
  • 9. Intro to Brain Imaging (fMRI)
  • 10. Hypothesis Testing
  • 11. Signal Detection Theory
  • 12. Comparing means (t-test)
  • 13. Reinforcement Learning

  • Labs & Homeworks

  • Pre-Class Survey(HW1)
  • Intro to Python (Lab)
  • Intro To Jupyter (HW2)
  • Data Frames and Plotting (Lab)
  • Exploring Data (Lab)
  • Python for Data Analysis (HW3)
  • Regression (Lab)
    • Intro to Regression
    • Advanced Regression
    • Mental Rotation
    • Modeling fMRI
    • Modeling fMRI pt2
  • Signal Detection Theory (Lab)
    • SDT Basics
    • SDT Perception
    • t-test Review
  • Reinforcement Learning (Lab)
    • RL Experiment
    • RL Algorithms

  • Tips & Tricks

  • Python Resources
  • Forty For Loops
  • License

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