Skip to content

This repository holds all course materials for the fall 2019 offering of Statistics 243 at UC Berkeley.

Notifications You must be signed in to change notification settings

rwangus/stat243-fall-2019

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

stat243-fall-2019

This repository holds all course materials for the fall 2019 offering of Statistics 243 at UC Berkeley.

You can view the syllabus here.

Note that the various tutorials referred to in the class materials (e.g., the UNIX and bash shell tutorials, the dynamic documents tutorial, the Git tutorial, the string processing tutorial, etc.), are available here.

If you're not yet familiar with Git, go to the upper right of this page and click on 'Clone or download' and then 'Download ZIP'.

If you would like to audit the class, enroll as a UC Berkeley undergraduate, or enroll as a concurrent enrollment student (i.e., for visiting students), or for some other reason are not enrolled, please fill out this survey as soon as possible. All those enrolled or wishing to take the class should have filled it out by Friday at 2 pm.

Please see https://github.com/berkeley-stat243/stat243-fall-2019/blob/master/first_three_weeks.md for information on what is due during the initial weeks of class.

Logistics

Instructor office hours:

  • Chris (Evans 495):
    • Mondays, 4-5:30 pm
    • Wednesdays, 3-4 pm
    • Thursdays, 10-11 am
    • generally available immediately after class
    • feel free to schedule an appointment or drop by if my door is open
  • Jared:
    • Tuesday during unused section time, generally 3-4 pm, 5-5:30 pm (Evans 342)
    • Fridays, 1-2 pm (Evans 428)

Software

The howtos directory has information on installing and/or getting access to the software you'll need for the course. In particular, in the second week of class you'll need to get access to the UNIX command line in some fashion. See https://github.com/berkeley-stat243/stat243-fall-2019/blob/master/howtos/accessingUnixCommandLine.md for some options on how to do this.

Submitting assignments

The file submitting-electronically.txt has information on setting up a Github repository for the class and submitting your assignments by committing your solution to Github. We will discuss this in section on Tuesday September 3.

Online discussion and questions.

We will use the course bCourses site for communication (announcements, questions, and discussion). If you're enrolled in the class you should be a member of the group and be able to access it. If you're auditing or not yet enrolled and would like access, make sure to fill out the survey above and I will add you.

About

This repository holds all course materials for the fall 2019 offering of Statistics 243 at UC Berkeley.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 76.1%
  • R 19.7%
  • Shell 1.7%
  • Python 1.4%
  • TeX 1.1%