This is the course website. This page shows information about the consultation times, MoVE, and Schedule and lecture notes.
The “Assessments” tab above provides information about all assessment for ETC5510.
Borrow a laptop: If you are enrolled in a MoVE unit and forget your laptop, or do not own one as yet, please visit Monash Connect to borrow a laptop for an activity or part of a day:
Clayton: 7.45AM - 5PM
You may be required to provide proof of ID (student card or personal ID) in order to borrow a laptop. We have a limited amount of laptops available for students to borrow (during semester only). Collect an IT Services ticket when you go to Monash Connect.
Consultations begin from Week 2 (16th March)
Download the practical exam at this link (Opens at 6pm).
Instructions for the group project is available via the assessments tab.
The lecturer and the tutors will be available this week via the ED forum and Zoom to answer any questions you have about the course or content.
The lecturer is available for consultation at the following times
The tutors will be monitoring the ED forum during class times.
Lecture recordings for this week will be posted on Moodle. These are based on lectures recorded for ETC1010, so please ignore any reference to Rstudio cloud and instead refer to the Setup R handout.
There are two lectorials every week:
There are no lectorials during the midsemester break.
Week | Lecture | Date | Slides | Topic | Exercise | Readings | Assessment |
---|---|---|---|---|---|---|---|
1 | A | 2020-03-09 | Introduction to the language of data analysis | Chapter 4 (very short) | NA | ||
1 | B | 2020-03-11 | Chapters 1 - 4 in Rmarkdown for Scientists | NA | |||
2 | A | 2020-03-16 | Tidy data principles, reshaping your data into tidy form, and basic data wrangling | Chapter 12: Tidy Data | NA | ||
2 | B | 2020-03-18 | Chapter 5: Data Transformation | NA | |||
3 | A | 2020-03-30 | Plotting your data, and wrangling temporal data | Chapter 3: Data visualisation (again!) | NA | ||
3 | B | 2020-04-01 | Chapter 16: Dates and Times | NA | |||
4 | A | 2020-04-06 | Advanced wrangling, joining tables, and advanced data visualisation | Chapter 13: Relational Data | NA | ||
4 | B | 2020-04-08 | Chapter 1 of Data Visualisation: A Practical Introduction | Assignment 1 | |||
Midsemester Break | |||||||
5 | A | 2020-04-20 | Handling missing values and scraping data |
Getting Started with Missing values Gallery of Missing Data Visualisations |
NA | ||
5 | B | 2020-04-22 |
rvest R package for web scraping README rvest description of selectorGadget |
NA | |||
6 | A | 2020-04-27 | Introduction to programming | Functions | NA | ||
6 | B | 2020-04-29 | Iteration | Mid Semester Electronic Exam | |||
7 | A | 2020-05-04 | Introuction to linear models | Modelling Basics | NA | ||
7 | B | 2020-05-06 | Many Models | NA | |||
8 | A | 2020-05-11 | Analysing text data |
Introduction to tidy text analysis Sentiment Analysis with tidy text |
NA | ||
8 | B | 2020-05-13 | n-grams | NA | |||
9 | A | 2020-05-18 | Wrangling, plotting and modeling network data | None | NA | ||
9 | B | 2020-05-20 | Project Developement / Making Dashboards | None | Assignment 2 | ||
10 | A | 2020-05-25 | Computational modeling - classification and regression trees | None | NA | ||
10 | B | 2020-05-27 | None | NA | |||
11 | A | 2020-06-01 | Project Development | None | NA | ||
11 | B | 2020-06-03 | Project Development | None | Takehome Exam | ||
12 | A | 2020-06-08 | Submission and Peer Evaluation of Projects | None | Project Due | ||
12 | B | 2020-06-10 | None | Project Peer Evaluation |