Lecturer

Tutor

Consultations

All consultations will be in using zoom. Check Moodle for the links.

Tentative Schedule

There are no lectures or tutorials during the midsemester break.

Week Lecturer Slides Tutorial Topic Tools Readings Assessments
0 Emi Information
1 Emi Basic communication theory and practice
2 Emi Introduction to web and data technologies HTML/CSS/JS, htmlwidgets Introduction to Data Technologies Ch 2-8
3 Emi Communicating data with interactive web apps shiny, plotly Mastering Shiny
4 Emi Data storytelling on the web rmarkdown, distill, git & github Distill for R Markdown
5 Emi Statistical model outputs and data tables broom, kableExtra, knitr, DT, formattable Ten Guidelines for Better Tables Assessment 1 due Tue 23 Aug 11:55 PM
6 Emi Effective data visualisation ggplot, colorspace colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes, Fundamentals of Data Visualization
7 Emi Captivating statistical presentations Blog entry due Tue 6 Sep 11:55 PM
8 Emi Clearly communicating with code devtools, usethis, testthat, roxygen2, pkgdown R Packages Video group discussion due Tue 13 Sep 11:55 PM
9 Emi Stylishly communicating with code devtools, usethis, testthat, roxygen2, pkgdown R Packages
Midsemester Break (1 week)
10 Emi Communicating with data 1 Assessment 2 due Tue 4 Oct 11:55 PM
11 Emi Communicating with data 2
12 Emi Communicating with data 3 Assessment 3 due Tue 18 Oct 11:55 PM
Oral exam Mon 24 or Tue 25 Oct

Expectations