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
Tue Sep 03 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.
Thu Sep 05 Discussion of 'What is cognitive science?'
Lecture on 'How to be a better learner' [slides]
Read and watch Chapter 2: Why do we have to learn statistics? before class.
Tue Sep 10 Discussion of why we need to learn about statistics.
Learning to login to JupyterHub. Walk through of interface.
Begin working on Homework 1.
Read and watch Chapter 3: Introduction to Jupyter before class.
Thu Sep 12 Finish working on Homework 1. Read and watch Chapter 4: Introduction to Python for Psychology Undergraduates before class (up to 4.10 - flow control).
Work on Homework 1.
Tue Sep 17 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).
Thu Sep 19 Review/discussion of basic Python programming.
Read and watch Chapter 5: A brief introduction to research design before class.
Tue Sep 24 Continue review/discussion of basic Python programming.
In class activity: here.
Make sure you read previous chapter.
Thu Sep 26
Tue Oct 01 Review/discussion of basic research design and measurement
In class activity: here.
Read and watch Chapter 6: Format and structure of digital data up to section 6.10 before class.
Thu Oct 03 Finish in class activity: here. Discuss data in python/pandas. Work on Data In Class activity notebook. Read Chapter 6: Format and structure of digital data and watch the video lecture. (up to 6.10)
Tue Oct 08 Begin work on Exploring Data (HW3) notebook. Read rest of Chapter 6: Format and structure of digital data and watch the video lecture.
Thu Oct 10 Work on Exploring Data (HW3) notebook. Read rest of Chapter 7: Visualizing data and watch the video lecture.
Tue Oct 15
Warning
No class, Classes meet on Monday schedule - Lecture covering data visualization, matplotlib, and seaborn. Exploring Data (HW3) notebook due March 11. If you didn't read chapter 7, please do.
Thu Oct 17
Tue Oct 22
Thu Oct 24
Tue Oct 29
Thu Oct 31
Tue Nov 05
Thu Nov 07
Tue Nov 12
Thu Nov 14
Tue Nov 19
Thu Nov 21
Tue Nov 26
Thu Nov 28
Warning
No class, Thanksgiving recess -
Tue Dec 03
Thu Dec 05
Tue Dec 10
Thu Dec 12