All consultations will be in using zoom. Check Moodle for the links.
There are no lectures, tutorials or consultations during the mid-semester break. You are expected to attend the lecture and ONE tutorial stream. Please see your timetable which tutorial stream you are scheduled in.
Note that there is a weekly quiz that is due on Thursday at midday.
| Start Date | Week | Lecturer | Slides | Tutorial | Topic | Readings | Assessments |
|---|---|---|---|---|---|---|---|
| 0 | Course information | Quizzes are due weekly | |||||
| Feb 27 | 1 | Kate | Open data: definitions, sources and examples | Extra reading: Data in the wild ; The World Bank Open Data Essentials (and the Open Data for Data Users introduction lesson) ; European Data Portal lesson What is Open Data? | |||
| Mar 06 | 2 | Kate | Introduction to data collection methods | Extra reading: Khan Academy Types of statistical studies (brief and good starting point) Byrne on Data collection (very extensive) | |||
| Mar 13 | 3 | Kate | Case study: US air traffic | Extra reading: Working with databases, 2009 Data Expo, and follow links , Short paper on analysis and code , Animation of air traffic on one day, Animation code | |||
| Mar 20 | 4 | Kate | Case study: Australian census | Extra reading: the DataPacks User Guide | Assignment 1 is due | ||
| Mar 27 | 5 | Michael | Case study: Australian election data | Extra reading: Chapter 3 of Kobakian (2020) New algorithms for effectively visualising Australian spatio-temporal disease data, Reprojecting geographic data from Geomcomputation with R | |||
| Apr 03 | 6 | Kate | Case study: Combining Australian census and election data | Extra reading: Forbes, Cook & Hyndman (2020) Spatial modelling of the two-party preferred vote in Australian federal elections: 2001–2016 | |||
| Midsemester Break (1 week) | |||||||
| Apr 17 | 7 | Joan | Case study: Mortgage default | Extra reading: Bellini, T. (2019). Chapter 2—One-Year PD. In T. Bellini (Ed.), IFRS 9 and CECL Credit Risk Modelling and Validation (pp. 31–89). Academic Press.](https://doi.org/10.1016/B978-0-12-814940-9.00010-4) | Assignment 2 is due | ||
| Apr 24 | 8 | Joan | Data ethics | Extra reading: OKeefe, K., & Brien, D. O. (2018). Ethical data and information management: concepts, tools and methods. Chapter 2 (ebook available through Monash library) Belmont report; National Statement on Ethical Conduct in Human Research (section 2, Chapters 5.1, 5.2) ; ; Ethics in statistical practice and communication: Five recommendations | |||
| May 01 | 9 | Joan | Data ethics and privacy | ||||
| May 08 | 10 | Michael | Case study: COVID-19 case data and the timing of lockdowns | Assignment 3 is due | |||
| May 15 | 11 | Michael | Solving ODEs, and model fitting using least squares and likelihoods | ||||
| May 22 | 12 | Kate | On the proper care and feeding of wild data | Required reading: Data Organization in Spreadsheets; A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility; Ten Simple Rules for the Care and Feeding of Scientific Data | |||
| May 29 | 13 | Assignment 4 is due | |||||