Agenda
- Introductions
- Course Syllabus
- Lectures
- Homework
- Projects
- Grades
Introduction
- Hi, I’m Ha!
- Webiste: hknguyen.org
- Email: hknguyen@illinois.edu
- Office: CAB 70.
- Office Hours:
- Wednesday 3:00 PM - 5:00 PM
- Thursday 1:00 PM - 3:00 PM
- Location: Illini Hall 104.
Teaching Assistant
- Name: Teng Wu
- Email: tengwu2@illinois.edu
- Office: 104 Illini Hall
- Office Hours: TBD
Course Webiste
- https://nkha149.github.io/stat385-sp2020
- You can also find the course website link on Compass.
- Course syllabus is available on the course website.
Textbook
- Hands-On Programming with R, by Garrett Grolemund.
- R for Data Science, by Garrett Grolemund, Hadley Wickham.
Course Outline
- Part 1: Basics of R
- R Programming
- R Basic Plotting
- Simple Shiny
- Part 2: Git, GitHub & RMarkdown
- Git, GitHub
- RMarkdown
- GitHub Pages
- Part 3: Advanced R
- Tidyverse package
- Advanced Shiny
Detailed schedule can be found on the course website.
Course Objectives
- Use of R, RStudio, and RMarkdown.
- Familiar with Git and GitHub.
- Build a personal website using GitHub Pages.
- Build 2 Shiny applications for personal portfolio.
Course Objectives
- Example 1: hknguyen.org
- Example 2: alison.rbind.io
- Example 3: amber.rbind.io
Course Objectives
In other words, we want you to have the skill sets to brand and sell yourself as a Data Scientist!
Course Format
- 3 Lectures / Week
- 10 Homework Assignments
- 2 Projects:
- Midterm Project
- Final Project
Lectures
- Lecture notes will be posted at least 24 hours before lecture.
- At least 1 in-class live coding session per week.
- The use of laptops and tablets is allowed in class, but not recommended.
Homework
- There will be 10 homework assignments.
- The lowest 2 homework scores will be dropped.
- Homework is:
- Posted right after Friday lecture.
- Due a week later, at 11:59PM on Friday.
- Submit your homework assignment in Compass.
- More details can be found on the Homework page on the course website.
- No late homework will be accepted.
- Homework solution will be posted on Saturday each week.
Projects
- There will be 2 projects: a midterm project and a final project.
- The Midterm Project will be assigned on Friday, 02/28/2020 and due a week later at 11:59PM on Friday, 03/06/2020.
- The Final Project will be assigned on Friday, 04/24/2020 and due at 11:59PM on Wednesday, 05/13/2020.
- Details regarding the projects will be posted on the Project page as the semester progresses.
Course Grades
| Type | Percent of Final Grade |
|---|---|
| Homework | 50% |
| Midterm Project | 20% |
| Final Project | 30% |
Getting Help in STAT 385
You have many options to get help for this class:
- Piazza
- Office hours
- Email me at hknguyen@illinois.edu
- From your Illinois email account (@illinois.edu)
- Make sure your email subject line follows the format:
- [STAT 385] <subject>
To-do
- Check out the course website.
- Sign up for Piazza.
- Installing R and RStudio.
- Read the full syllabus.
- This is VERY important.