Statistics and Statistical Programming (Spring 2019)/Session plan: Week 1: Difference between revisions
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** Anything else you want me to know (e.g., preferred pronouns) | ** Anything else you want me to know (e.g., preferred pronouns) | ||
* Quick introductions: please tell us about... | * Quick introductions: please tell us about... | ||
** Your progress in | ** Your progress in your degree program | ||
** Your research interests (in a couple sentences) | ** Your research interests (in a couple sentences) | ||
** Dataset you will be working with (or searching for) | ** Dataset you will be working with (or searching for) | ||
** Your prior experience with statistics and/or programming | ** Your prior experience with statistics and/or programming | ||
* Go over syllabus | * Go over syllabus | ||
* Week 1 Problem Set | ** Note: programming challenges (should) address previous week's statistical material and weekly R "lecture" | ||
* Week 1 Problem Set and R lecture materials | |||
** Note/correction about the R lecture (Rmd → HTML vs. PDF) | |||
** Discuss Statistics questions | ** Discuss Statistics questions | ||
** Discuss Empirical paper questions | ** Discuss Empirical paper questions | ||
** Discuss/complete Programming challenges | ** Discuss/complete Programming challenges | ||
* [If time allows] Discuss/start programming challenges for next week | * [If time allows] Discuss/start programming challenges for next week | ||
Latest revision as of 15:43, 4 April 2019
- Note Cards!
- Preferred name
- Anything else you want me to know (e.g., preferred pronouns)
- Quick introductions: please tell us about...
- Your progress in your degree program
- Your research interests (in a couple sentences)
- Dataset you will be working with (or searching for)
- Your prior experience with statistics and/or programming
- Go over syllabus
- Note: programming challenges (should) address previous week's statistical material and weekly R "lecture"
- Week 1 Problem Set and R lecture materials
- Note/correction about the R lecture (Rmd → HTML vs. PDF)
- Discuss Statistics questions
- Discuss Empirical paper questions
- Discuss/complete Programming challenges
- [If time allows] Discuss/start programming challenges for next week
