CS 461/561: Introduction to Data Science

Prof. Jason Sauppe | Spring 2022

This page contains a course schedule for CS 461/561. Rows in gray are tentative and will be updated as the course progresses. Other course content (e.g., assignments) can be found on Canvas.

Content	Week	Day	Date	In-Class	Reading	Assignments
Intro	01	Mon.	01/24		Syllabus
		Wed.	01/26		1.1, 1.2
		Fri.	01/28		1.3, 1.4	Assignment 01 available
Working with Data	02	Mon.	01/31		2.2, 2.3
		Wed.	02/02		3.1
		Fri.	02/04
Data Collection & Cleaning	03	Mon.	02/07		3.2
		Wed.	02/09
		Fri.	02/11		3.3
Data Visualization	04	Mon.	02/14		6.1, 6.3	Assignment 01 due
		Wed.	02/16		6.2, 6.4
		Fri.	02/18			Assignment 02 available
Linear Regression & Gradient Descent	05	Mon.	02/21		9.1
		Wed.	02/23		9.4
		Fri.	02/25
Model Selection & Cross-Validation	06	Mon.	02/28		9.2
		Wed.	03/02
		Fri.	03/04
Midterm Exam	07	Mon.	03/07	Review		Assignment 02 due
		Wed.	03/09	Midterm Exam
		Fri.	03/11	—Project Work (no class)—		Project available
Spring Break		Mon.	03/14	—No Class—
		Wed.	03/16	—No Class—
		Fri.	03/18	—No Class—
Regularization & Logistic Regression	08	Mon.	03/21		9.5
		Wed.	03/23		9.6
		Fri.	03/25		9.7, 9.8
Classification	09	Mon.	03/28		10.1, 10.2
		Wed.	03/30		7.4
		Fri.	04/01			Project proposal due
The scikit-learn Library & Clustering	10	Mon.	04/04
		Wed.	04/06			Assignment 03 available
		Fri.	04/08		10.5
Clustering & Dimensionality Reduction	11	Mon.	04/11
		Wed.	04/13		8.1,8.2
		Fri.	04/15		8.3-8.5
Machine Learning	12	Mon.	04/18	—Project Work Day—
		Wed.	04/20		11 (intro), 11.2	Assignment 03 due
		Fri.	04/22			Progress report due
Machine Learning	13	Mon.	04/25		11.3
		Wed.	04/27		11.4
		Fri.	04/29		11.6
Big Data	14	Mon.	05/02	—Project Work Day—
		Wed.	05/04		12.1-12.7
		Fri.	05/06			Project report due
Finals Week	15	Fri.	05/13	—Project Presentations (10:00 AM – 12:00 PM, Centennial 3204) —