SYS 2202: Data and Information Engineering

Fall 2019



Homework

All homework assignments are in DataCamp in our class group. You will be sent an email invitation to join the group. This system will record your homework progress so there is nothing to turn in.

Your homework grade is based on the XP you receive (see syllabus for details). The deadlines are to keep you on track and prepare you for in-class assignments. You have the option to complete additional assignments to receive more XP. A list of recommended electives is at the bottom of the page but you are free to take what is most interesting/useful to you (including python, SQL, etc.).

Unless otherwise stated, homework assignments are due at 9am on the due date. Late homework will only be accepted in extreme situations.

Homework #1: Due Mon Sept 2

Introduction to R

Homework #2: Due Mon Sept 9

Data Visualization with ggplot2 (Part 1)

Homework #3: Due Mon Sept 16

Introduction to the Tidyverse

Homework #4: Due Mon Sept 23

Working with data in the Tidyverse

Homework #5: Due Mon Oct 7

Exploratory Data Analysis

Homework #6: Due Mon Oct 21

Importing Data in R (Part 1)

Homework #7: Due Mon Oct 28

Cleaning Data in R

Homework #8: Due Mon Nov 4

Exploratory Data Analysis in R: Case Study

Homework #9: Due Mon Nov 18

Importing and Cleaning Data in R: Case Study

Homework #10: Due Tues Dec 17th (5pm)

Gain XP points.