Schedule
Schedule#
This is the schedule for the semester. This page will be frequently updated based on how we progress and everything is subject to change. Homeworks and links to the lecture will be provided here for easy reference to the calendar. The assignments refer to the homework following a class meeting. So if on a particular date it says watch a video, that is for next time! Recording of class discussion is always automatically posted after class in NYU Classes.
| Date | Agenda | Assignments |
|---|---|---|
| Mon Sep 05 Warning |
No class, Labor Day - Class Canceled, Labor Day | |
| Wed Sep 07 | Organizational meeting, meet and greet fellow classmates, discuss course logistics, and discuss the syllabus. | Read and watch Chapter 1: What is Cognitive Science and how do we study it? before class. |
| Mon Sep 12 | Discussion of 'What is cognitive science?' In class activity: here. |
Read and watch Chapter 2: Why do we have to learn statistics? before class. |
| Wed Sep 14 | Discussion of why we need to learn about statistics. |
Read and watch Chapter 3: Introduction to Jupyter before class. |
| Mon Sep 19 | Learning to login to JupyterHub. Walk through of interface. Begin working on Homework 1. Due Sunday Sept 25th. | Read and watch Chapter 4: Introduction to Python for Psychology Undergraduates before class (up to 4.10 - flow control). Work on Homework 1. |
| Wed Sep 21 | Review/discussion of basic Python programming. Begin working on Python ICA Homework 1. | Read and watch Chapter 4: Introduction to Python for Psychology Undergraduates before class (to the end). |
| Mon Sep 26 | Review/discussion of basic Python programming. Continue in class activity: here. Due Friday Sept 30th. |
Read and watch Chapter 5: A brief introduction to research design before class. |
| Wed Sep 28 | Review/discussion of basic research design and measurement In class activity: here. |
Complete Design In Class Activity (ICA) for homework if your group didn't finish yet. Due Friday Oct 7th. |
| Mon Oct 03 | Python practice, begin Homework 2 in class. | Continue work on Homework 2. If you need additional for loop help please read through this notebook. |
| Wed Oct 05 | Continue Homework 2 in class. | Continue work on Homework 2. Begin reading Chapter 6: Format and structure of digital data up to section 6.10 before class. |
| Mon Oct 10 Warning |
No class, Fall Break - No Class, Fall Break | |
| Tue Oct 11 Warning |
Special date, Legislative Day (classes meet on Monday schedule) - Review/discussion of data organization and pandas | Homework 2 due Friday, Oct 14. Read rest of Chapter 6: Format and structure of digital data and watch the video lecture. |
| Wed Oct 12 | Work on Exploring Data (HW3) notebook. | Work on OK Cupid question before Wednesday. Read rest of Chapter 7: Visualizing data and watch the video lecture. |
| Mon Oct 17 | Lecture covering data visualization, matplotlib, and seaborn. | Exploring Data (HW3) notebook due XXX. If you didn't read chapter 7, please do. |
| Wed Oct 19 | Lecture covering descriptive statistics and how to compute with pandas. Finish Exploring Data (HW3) notebook in class in groups. | Note extended the deadline for Exploring Data (HW3) to XXX. Read Chapter 8: Describing data and watch the video lecture. |
| Mon Oct 24 | Finish Exploring Data (HW3) notebook in class and discussion of what people explored. | Turn in Exploring Data (HW3) notebook XXX. Read Chapter 9: Samples, populations, and sampling and watch the video lecture. |
| Wed Oct 26 | Work on Sampling In-class Activity (Ch8) notebook. | Complete in class activity if your group was unable to finish. Read Chapter 10: Hypothesis testing and watch the video lecture. |
| Mon Oct 31 | Work on Hypothesis testing In-class Activity (Ch10) notebook. | Complete in class activity if your group was unable to finish. Read Chapter 11: Comparing one or two means and watch the video lecture. |
| Wed Nov 02 | Lecture on t-test, Work on t-test In-class Activity (Ch12) notebook. | Read Chapter 12: Measuring behavior and watch the video lecture. |
| Mon Nov 07 | Lab 1Work on Signal Detection Theory lab | Read Chapter 13: Research Ethics and watch the video lecture. |
| Wed Nov 09 | Lab 1Work on Signal Detection Theory lab | Read Chapter 14: Replication Crisis in Psychology. |
| Mon Nov 14 | Lab 1Work on Signal Detection Theory lab | Read Chapter 15: Linear Regression and watch the video lecture. |
| Wed Nov 16 | Lab 2Work on Linear Regression lab | Read Chapter 16: Linear Mixed Effect Models and watch the video lecture. |
| Mon Nov 21 | Lab 2Work on Linear Regression lab | Read Chapter 17: Functional Magnetic Resonance Imaging and watch the video lecture. |
| Wed Nov 23 Warning |
No class, Fall Break - Lab 2Work on Linear Regression lab | Read Chapter 18: Logistic Regression and watch the video lecture. |
| Mon Nov 28 | No Class, Fall Break | |
| Wed Nov 30 | Lab 3Work on Reinforcement Learning lab | Read Chapter 19: Computational Modeling and watch the video lecture. |
| Mon Dec 05 | Lab 3Work on Reinforcement Learning lab | Read Chapter 20: Online Data Collection and watch the video lecture. |
| Wed Dec 07 | Lab 3Work on Reinforcement Learning lab | Read Chapter 21: Writing and Presenting and watch the video lecture. |
| Mon Dec 12 | Work on final projects | |
| Wed Dec 14 | Work on final projects |