# Syllabus

Video Messages from Graduates Abroad

**RHW**

RHW1 Instruction; Honor Code; Contribution Sheet

RHW2: Instruction; Honor Code; Contribution Sheet

Reference site for Task 1 (for now, refer to this and this); Reference site for Task 2 (pdf)

**Lecture Notes**

Week 1: Slide, Video1, Video2, Video3

Week2 : Slide

Week 3: Slide

For Week 4, bring your laptop after installing R, R studio and highgpa.xlsx; highgpa.csv data.

Week 4: Slide; R-code handout

Week 5: Slide

Week 6: Slide

Week 7: Slide

Week 9: Slide

Week 10: Slide

Week 11: Slide

Week 12: Slide

Week 13: Slide; Q-Q plot video

Quiz Questions

R Learning Tool: Sign up for the free R course at

https://www.datacamp.com/community/open-courses/statistical-inference-and-data-analysis

and self-teach the basic operations of R. You will be more comfortable with R program.\

Podcast: DataFramed (post cast by Datacamp) to learn something about the world of data science and scientists.

**Group Assignment**

**Practice Questions**

Chapter 4: Questions - part 1, part 2, Answers-part1, part2

Chapter 5: Questions - part1, part2, Answers - part1, part2

**R Homework**

**R related**

*Download R program from http://www.r-project.org/

step1: set CRAN (anywhere is fine, just pick one)

step2: select R according to your PC

You can also download a package named "Rcmdr"

step1: set CRAN if you haven't done so

step2: select "Rcmdr" from the list of packages

step3: once downloaded, click "load packages" from Packages tab, then you should see the Rcmdr window pops up.

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After installing the latest R program, download R Studio.

**References for R**

**
Introduction to R Programming Course at Edx (It's FREE!)**

R
ile Uygulamalı Analiz Yöntemleri – I Murat Şirin **(This one
is also FREE!)**