Skip to content

Yay best class eva #69

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
timothyLeeXQ wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Yay best class eva #69

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
48d754e
Added Yay Best Class Eva to the Syllabus Readme
timothyLeeXQ Sep 10, 2019
dbe5b19
Even better class added
timothyLeeXQ Sep 10, 2019
b53dfc6
TC, CU and links to R and R Studio
timothyLeeXQ Sep 10, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Core Methods in Educational Data Mining: Syllabus

Introduction class
Introduction class - Yay! Best Class eva!

* **Course:** [HUDK 4050, Teachers College, Columbia](http://www.columbia.edu/~rsb2162/EDM2015/index.html)
* **Course:** [HUDK 4050, Teachers College, Columbia University](http://www.columbia.edu/~rsb2162/EDM2015/index.html)
* **Instructor:** Charles Lang, [charles.lang@tc.columbia.edu](lang2@tc.columbia.edu), Twitter: @learng00d
* **Course Assistants:** Anna Lizarov, [al38684@tc.columbia.edu](al3868@tc.columbia.edu), Aidi Bian, [ab4499@tc.columbia.edu](ab4499@tc.columbia.edu)
* **Day/Time:** Tuesdays/Thursdays, 5:10pm - 6:50pm
Expand All @@ -12,7 +12,7 @@ Introduction class

* **Prerequisite:** HUDM 5122 *or* HUDM 5126 *or* approved statistics/computer science data mining course.
* **Credits:** 3
* **Required Technology:** Laptop with RStudio installed, Phone with the Sensor Kinetics Pro app installed
* **Required Technology:** Laptop with [R](https://www.r-project.org/) and [RStudio](https://www.rstudio.com/) installed, Phone with the Sensor Kinetics Pro app installed.

## Course Description

Expand Down