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 before the start of the Tutorial A stream.
|1||Emi||Introduction to data collection methods||Extra reading: Byrne on Data collection|
|2||Di||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?|
|3||Lauren||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|
|4||Di||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|
|5||Belinda||Case study: Melbourne transport data|
|Midsemester Break (1 week)|
|6||Lauren||Case study: International student assessment data||Assessment 1 due|
|7||Emi||Case study: Australian census||Extra reading: the DataPacks User Guide|
|8||Emi||Case study: Australian election data||Extra reading: Forbes, Cook & Hyndman (2020) Spatial modelling of the two-party preferred vote in Australian federal elections: 2001–2016|
|9||Di||Case study: Gathering and working with sports data||Extra reading:Do Smashes Win Matches?, Introduction to html, Introduction to css, Harvesting data with rvest, Is web scraping legal?|
|10||Will||Case study: Superannuation and wage growth in Australia||Assessment 2 due|
|11||Lauren||Data ethics and privacy|
|12||Di||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|
|13||Assessment 3 due|