Jan 22, 2020

Agenda

  • Introduction
  • Course Syllabus
    • Course Objectives
    • Lectures
    • Homework
    • Projects
    • Grades

Introduction

Hi, I’m Ha!

Introduction

  • Common quesiton: How do I say your last name?
    • Nguyen

Introduction

  • Common quesiton: How do I say your last name?
    • Nguyen

penGUIN

Introduction

  • Another common quesiton: Where am I from?

Introductions

  • Another common quesiton: Where am I from?
    • Short answer: Vietnam

Introductions

  • Another common quesiton: Where am I from?
    • Long answer:

Introduction

Teaching Assistant

Course Webiste

Textbook

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

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:
    • Publish on Friday, 02/28/2020.
    • You have 1 week to work on it.
    • Due at 11:59PM on Friday, 03/06/2020.
  • The Final Project:
    • Publish on Friday, 04/24/2020.
    • You have almost 3 weeks to work on it.
    • 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