CS46N is a freshman seminar. A general description of the seminar can be found here.

Introductory Readings: Here is a list of interesting articles with different takes on the topic of Big Data that we think will get you excited, and set the background for our discussions in class.

Datasets: Here is a list of datasets (and sources of datasets) for exploration.

Learning Goals: Here is the (open and evolving) list of learning goals for the class.

Class Meetings: Tues & Thurs 10:30 AM - 11:50 AM, Building 160 (Wallenberg Hall) room 317

Assignments and Projects: We will maintain and update the list of assignments and projects for the class here.

Professor: Jennifer Widom (Office: Gates 422, Office hours: Mon & Fri 11:00 AM - 12:00 Noon, E-mail: )
Course Assistant: Akash Das Sarma (Office: Gates 430, Office hours: Wed & Thu 2:00 - 3:00 PM, E-mail: )


Class #
Date
Topic
Notes (posted after class)
1
Sept 22
Introductions, overview, motivating examples
2
Sept 24
Data analysis techniques
3
Sept 29
Data visualization; Guest: Andreas Paepcke
4
Oct 1
Guest: Filip Kaliszan - CourseRank
5
Oct 6
Tools for data manipulation and analysis
6
Oct 8
Student visualizations working session
N/A
7
Oct 13
Student visualization demos
N/A
8
Oct 15
Project 1: Individual meetings with TA
N/A
9
Oct 20
Guest: Piotr Sapiezynski - Copenhagen Networks Study
10
Oct 22
Project 1: Individual meetings with TA
N/A
Oct 25
Project 1 due (no late days)
11
Oct 27
Project 1: Real-time competition + discussion
12
Oct 29
Student-led discussions 1
(Emma, Rachel, Pranav, Lorel)
13
Nov 3
Outside guest: Jian Yuan - Facebook ads
14
Nov 5
Student-led discussions 2
(Gordon, Kai, Annina, Travis)
15
Nov 10
Field trip to Google
16
Nov 12
Outside guest: Nina Mishra - The Amazon recommendation system
Nov 5 - 13
Project 2: Feedback meetings with Instructor and TA
17
Nov 17
Student-led discussions 3
(Shrey, Daniel, Brandon, Tiffany)
18
Nov 19
Student-led discussions 4
(Justina, Kevin, Katherine, Aidan)
THANKSGIVING BREAK
19
Dec 1
Sampling and statistical significance;
Outside guest: Alec Powell, big data and baseball
20
Dec 3
Project 2 round-table discussion, course evaluations and wrap-up
Nov 30 - Dec 4
Project 2: Demos to Instructor and TA
Dec 7 - 11 (finals week)
Project 2: Demos to Instructor and TA