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---
title: ""
output:
html_document:
theme: flatly
includes:
in_header: header.html
---
<br/>
<br/>
<br/>
<br/>
## Annoucments
### Final Exam Information
Detailed information about the final exam is available [here](finalexam.html).
### Course Survey Due on April 6, 11:59PM
As stated on the course syllabus, 2% of the evaluation for this course is allotted for completion of an end of course survey. The purpose of this survey is to help us understand how some of the aspects of STA130 contribute to your learning.
The survey is now available on the course [Blackboard page](https://portal.utoronto.ca) under “Course Materials”. To earn your 2%, fully complete the survey by 11:59pm on Friday, April 6.
Your feedback is greatly appreciated. Your instructors will not look at your particular answers to survey questions until after the final grades for the course have been submitted.
##Instructors
[Professor Alison Gibbs](http://utstat.toronto.edu/~alisong/) and [Professor Nathan Taback](http://utstat.toronto.edu/~nathan/)
## Syllabus
Important information about the course can found in the [syllabus](STA130syllabus2018S.html).
## Office Hours
| | Day/Time | Location |
|-----------------------|----------------------------------|---------------------------------------------------|
| Professor Office Hours^\*^ | Monday: 12-1 and 4-5 | Professor Gibbs: SS6009 Professor Taback: SS6027c |
| TA Office Hours | Wednesday: 2-5PM Thursday:11-2PM | SS623B |
| | Wednesday: 12-2PM | RW109 (Computer Lab)
| | Thursday: 2-3PM^\*\*^ | RW107 (Computer Lab)
\* The first part will be walking office hours since the office hours are directly after class. Professors may not get back to their office for the start of the hour, you are welcome to walk back from class with the professor and discuss course material.
\*\* The computer lab is reserved from 1-2PM for STA130 in case students wish to access the computers in the lab prior to the office hours starting at 2PM.
**Reading Week:** Regular office hours are not held during Reading Week. A schedule of Reading Week office hours is [here](sta130_OHs_ReadingWeekTest.pdf).
**Office hours before the test:** We have scheduled many additional office hours during the week of February 26 to March 1 for help before the test. See the schedule [here](sta130_OHs_ReadingWeekTest.pdf).
## Computing
The course will use [R](https://www.r-project.org) for computing. R is freely available [here](http://cran.utstat.utoronto.ca). We recommend using [R Studio](https://www.rstudio.com) which can be [downloaded](http://cran.utstat.utoronto.ca) for free. We will use [R Markdown](http://rmarkdown.rstudio.com) as an authoring framework for creating reproducible data science documents.
### Getting Started with R
- If you have never programmed before then [Hands-On Programming with R, by Garrett Grolemund](https://d1b10bmlvqabco.cloudfront.net/attach/ighbo26t3ua52t/igp9099yy4v10/igz7vp4w5su9/OReilly_HandsOn_Programming_with_R_2014.pdf) is a great place to start.
- [R for Data Science, by Hadley Wickham and Garrett Grolemund](http://r4ds.had.co.nz) is a wonderful resource.
- A list of more resources is available on the course website [here](R_resources.html).
### RStudio Sever or RStudio Desktop
1. Students in the course will be able to do all computing in a server edition of RStudio. RStudio Server for STA130 students can be accessed by going to <https://rstudio.chass.utoronto.ca/>
2. Another alternative is to install RStudio on your own computer. You will need to download [R](http://cran.utstat.utoronto.ca) then [RStudio](https://www.rstudio.com/products/rstudio/download/#download).
R Markdown source for this website <a href="https://github.com/ntaback/UofT_STA130">
<i class="fa fa-github fa-2x" aria-hidden="true"></i>
</a>