2018 Stats Camp: Summer Statistical Institute

Graduate students, faculty, post doctoral fellows, staff, and others are invited to attend the KU Stats Camp. This year, we are offering three weeks of sessions about R, Python, Stata, and Structural Equation Modeling. KU Stats Camp begins in the last week of May and continues through the first two weeks of June. 

Registration is open to KU students, faculty, and staff, as well as corporate employees or affiliates of other universities. The cost to attend is listed below:

  • WEEK 1: $250
  • WEEK 2: $200
  • WEEK 3: $250

 

 

REGISTRATION WILL BE AVAILABLE
SPRING OF 2018

 

 

If you need special consideration or needs, please contact the CRMDA at crmda@ku.edu. Invoicing or SOV options are available, however to reserve a seat in the class you must contact us for consideration.

 

 

 

 

 

 

 

 

 

CRMDA 2018 Summer Institute Course Descriptions

Sessions daily 9 a.m. - 12 p.m. & 1:30 p.m. - 4 p.m.

 

Week 1: R. Wescoe Hall, Room 4066 (EGARC: Ermal Garinger Academic Resource Center)

Day 1 05/21

Getting to Know R Instructional Materials

Instructor: Dr. Paul Johnson, CRMDA Director and Professor, Political Science

  • R User Interface, accessing documentation, code preparation, help pages.
  • Line Art: publication quality illustration and technical drawings.

Day 2 05/22

Establishing a Replicable Research Process Instructional Materials

Instructor: Dr. Paul Johnson, CRMDA Director and Professor, Political Science

  • Data Import, recoding.
  • Graphical exploration.
  • Exporting tables for reports.

Day 3 05/23

Statistical Analysis the R Way Instructional Materials

Instructor: Dr. Paul Johnson, CRMDA Director and Professor, Political Science

  • Regression & ANOVA,
  • Structural Equation Modeling
  • Moderation and Mediation

Day 4 05/24

R Toolkit for Interacting with Data Instructional Materials

Instructor: Dr. Paul Johnson, CRMDA Director and Professor, Political Science

  • Matrix Algebra with R
  • Iteration, data subsets.
  • Creating R functions to customize projects

Day 5 05/25

Monte Carlo Programming & Power Analysis Instructional Materials

Instructor: Dr. Paul Johnson 

  • Monte Carlo simulation in R
  • Power analysis: definition and implications
  • Using Monte Carlo simulation to estimate power

 

Week 2 - Topic: TBD, Watson Library, Room 455

Day 6 05/29

 

Day 7 05/30

 

Day 8 05/31

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Day 9 06/01

 

Week 3 - Topic: TBD, Watson Library, Room 455

 

Day 10 06/04

 

Day 11 06/05

 

Day 12 06/06

 

Day 13 06/07

 

   

Day 14 06/08

 

 

REGISTRATION WILL BE AVAILABLE SPRING OF 2018


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