Add/drop deadlines

The last date to add/drop Fall term courses without grade designation is 2020-08-19. Please act accordingly.

Time/Place

  • Lectures: Thursdays 10:30-12:00
  • Office hours: Fridays 16:00-17:00
  • Office hours: Tuesdays 14:00-15:00

Weekly schedule

Date Week Topic Due
Aug-13 Week1 Install R and GUI  
    Installation ~ Customization ~ HW1 ~ HW1 notes  
Aug-20 Week2 R basics HW1
    R programming basics ~ HW2 ~ HW2 notes ~ Class recipes  
Aug-27 Week3 Read/write data HW2
    Read/write data ~ HW3 ~ HW3 notes  
Sep-03 Week4 Organizing work HW3
    Organizing your work ~ Organizing spreadsheets ~ HW4 ~ HW4 notes  
Sep-10 Week5 Descriptive statistics HW4
    Descriptive statistics ~ HW5 ~ HW5 notes  
Sep-17 Week6 Graphics HW5
    Making plots ~ HW6 ~ HW6 notes  
Sep-24 Week7 Review HW6
    Review  
Oct-01 Week8 Functions  
    Repetitive tasks ~ HW7 ~ HW7 notes  
Oct-08 Week9 Loops HW7
    HW8 ~ HW8 notes  
Oct-15 Week10 Hypothesis tests HW8
    Hypothesis tests ~ P-value misconceptions ~ HW9 ~ HW9 notes  
Oct-22 Week11 Linear regression HW9
    Understanding t-test assumptions  
Oct-29 Week12 Linear regression  
    Linear regression  
Nov-05 Week13 Contingency tables  
    Contingency tables ~ HW10 ~ HW10 notes  
Nov-12 Week14 Review/overflow HW10
    R graph gallery  
Nov-19 Week15 Review/overflow Project paper draft - V0 (Optional)
    Project guidelines ~ Review exercises  
Nov-26 Gap week Thanksgiving Project paper draft - V1 (Mandatory)
    ~  
Dec-03 Week16 Student presentations Presentation slides
    Mirzahosseini ~ Wallace ~ Wong ~ Zareie ~ Ikponmwosa ~ Braden  
Dec-10 Week17 Student presentations Project paper draft - V2 (Final)
    Gupta ~ Xie ~ Lin ~ Belachew ~ Devlin ~ Jackson  

Course objectives

  • Understand R language syntax and data structures
  • Read data into R from text files and spreadsheets
  • Produce tables and figures using R
  • Write functions to perform repetitive tasks
  • Write code to perform simulation studies
  • Use R for simple tests and linear regression
  • Generate data analysis reports using R and Markdown

Pre-requisites

BIOE811 and BIOE821 or consent of instructor.

Course director

Saunak Sen, PhD Professor, Division of Biostatistics Department of Preventive Medicine 645 Doctors Office Building 66 North Pauline Street 901-448-4590 sen@uthsc.edu

Teaching assistant

Gregory Farage, PhD Postdoctoral scholar, Division of Biostatistics Department of Preventive Medicine 645 Doctors Office Building 66 North Pauline Street 901-448-5900 gfarage@uthsc.edu

Grading

  • Participation: 20 (1 point per class, 4 points overall)
  • Homeworks: 40 (4 points per homework)
  • Final project: 40 (30 for paper and code, 10 for presentation)
Points Grade
00-40 F
41-50 D
51-60 C
61-80 B
81-100 A

See grading page for more details.

Course policies

  • Please be on time, and bring a laptop to class.
  • Assignments should be submitted on Blackboard by the time specified there.
  • Students are expected to follow the honor code.
  • Co-operation between students is permitted, and should be cited (eg. “Jane Doe helped me debug the code for producing the scatterplot.”).
  • If you have any questions, use the Blackboard discussion forum. This way everyone benefits. Use email only if the question is confidential.