STATS 306: Introduction to Statistical Computing

Fall 2017

Class Information

Days & Time: Mondays & Wednesdays, 11:30 am -- 1:00 pm
Location: 1200 CHEM
Description: This is an introductory statistical computing course based on the R programming language. Topics covered include data wrangling, data visualization, basics of programming in R, and basics of statistical modeling.
Textbook: We will use R for Data Science by Grolemund and Wickham. It is available both as a printed book and as an online resource.
Canvas: You should access the Canvas class page for this course frequently. It will contain important announcements and posted homework assignments.

Instructor Information

Name: Ambuj Tewari

Office: 454 West Hall

Office Hours: Mondays and Wednesdays, 1:00 pm -- 2:00 pm and Wednesdays, 4:00 pm -- 5:00 pm

Email: tewaria@umich.edu

GSI Information

Name: Brook Luers

Lab Webpage: http://www.brookluers.com/teaching/stats306f17/

Lab Hours and Location: Tuesdays 10:00 am -- 11:30 am in B760 East Hall

Office Hours and Location: Mondays 3:15 pm -- 4:45 pm and Thursdays 3:00 pm -- 4:30 pm in SLC (1720 CHEM)

Email: luers@umich.edu

Name: Kidus Asfaw

Lab Webpage: http://www-personal.umich.edu/~kasfaw/teaching/stats306/

Lab Hours and Location: Mondays 4:00 pm -- 5:30 pm in B760 East Hall

Office Hours and Location: Mondays 2:45 pm -- 3:45 pm and Fridays 1:00 pm -- 3:00 pm in SLC (1720 CHEM)

Email: kasfaw@umich.edu

Grading

The final grade in the course will be determined by your scores in homework, a midterm exam, and a final exam using the weights given below

Homeworks (30%)
Midterm Exam (30%)

During regular class time on Wednesday, October 18

Final Exam (40%)

4 pm -- 6 pm on Tuesday, December 19

Academic Integrity

All students are expected to abide by the LSA Community Standards of Academic Integrity. Any instances of academic dishonesty will be reported to the Dean’s office.

Accommodation for Students with Disabilities

If you think you need an accommodation for a disability, please let me know at your earliest convenience. Some aspects of this course, the assignments, the in-class activities, and the way the course is usually taught may be modified to facilitate your participation and progress. As soon as you make me aware of your needs, we can work with the Office of Services for Students with Disabilities (SSD) to help us determine appropriate academic accommodations. SSD (734-763-3000; http://www.umich.edu/sswd) typically recommends accommodations through a Verified Individualized Services and Accommodations (VISA) form. Any information you provide is private and confidential and will be treated as such.

R Notebooks

The notebooks containing lecture material are all in a github repository:

https://github.com/ambujtewari/stats306-fall2017/

The notebooks themselves are just static documents (in JSON format) but clicking on the links will show you properly rendered notebooks thanks to the awesome rendering service at http://nbviewer.jupyter.org/.