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 Jan 22 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.
Wed Jan 24 Class cancelled due to instructor illness. Make sure you read previous chapter.
Mon Jan 29 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.
Wed Jan 31 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.
Mon Feb 05 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.
Wed Feb 07 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 Feb 12 Review/discussion of basic Python programming.
Read and watch Chapter 5: A brief introduction to research design before class.
Wed Feb 14 Continue review/discussion of basic Python programming.
In class activity: here.
Make sure you read previous chapter.
Mon Feb 19
Warning
No class, President's Day -
Wed Feb 21 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.
Mon Feb 26 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)
Wed Feb 28 Begin work on Exploring Data (HW3) notebook. Read rest of Chapter 6: Format and structure of digital data and watch the video lecture.
Mon Mar 04 Work on Exploring Data (HW3) notebook. Read rest of Chapter 7: Visualizing data and watch the video lecture.
Wed Mar 06 Lecture covering data visualization, matplotlib, and seaborn. Exploring Data (HW3) notebook due March 11. If you didn't read chapter 7, please do.
Mon Mar 11
Wed Mar 13
Mon Mar 18
Warning
No class, Spring Break -
Wed Mar 20
Warning
No class, Spring Break -
Mon Mar 25
Wed Mar 27
Mon Apr 01
Wed Apr 03
Mon Apr 08
Wed Apr 10
Mon Apr 15
Wed Apr 17
Mon Apr 22
Wed Apr 24
Mon Apr 29
Wed May 01
Mon May 06
Wed May 08