DATA 202 (2024) - Lectures

Lectures are Wed 1100-1150 (HMLT205), Thu 1410-1500 (HMLT205), Fri 1100-1150 (HMLT205).

The lectures can be attended in person (respecting any room limits that have been imposed), or through the Zoom live stream. The zoom link is posted on Nuku.

In addition there are drop in lab sessions (see the Labs page).

LM=Louise McMillan; BN=Binh Nguyen; RAd=Ryan Admiraal

Week	Starts on	Lecture Notes	Extra Content
1	26 Feb (LM)	Introduction; Getting Started; R Markdown; R Objects;	data202_Script_L3.R
2	4 Mar (LM)	Vectors and Arrays; Lists; Special Values; Reading Data; Summary and Display; (titanic.csv; active-satellites.csv; surf.csv )	data202_Script_L4.R; data202_Script_L5.R; data202_Script_L6.R
3	11 Mar (LM)	Functions; Programming; Output	data202_Script_L7.R; data202_Script_L8.R; data202_Script_L9.R
4	18 Mar (LM)	Strings; Dates (airlines.csv; active-satellites.csv; surf.csv)	data202_Script_L10.R; data202_Script_L11.R; data202_Script_L12.R
5	25 Mar (BN)	Databases (surf.csv)	data202_code_L1.R
	1 Apr	Mid term break
	8 Apr	Mid term break
6	15 Apr (BN)	SQL (surf.csv); Joining in SQL; More SQL.html (airlines.csv; students.csv; courses.csv; enrolments.csv); Regular expression (for reading only)	data202_code_L2.Rmd; data202_code_L3.Rmd; data202_code_L4.Rmd
7	22 Apr (BN)	Working with data frames (2017_round_bays_half_finishers.csv); More data frames (course_fail.csv)	data202_code_L5_6.R
8	29 Apr (BN)	Data frames exercises; Data visualisation (rugby_world_cup_2015.csv; microsoft.csv; course_fail.csv); ggplot exercises (for self-practice)	data202_code_L7.R; data202_code_L8.R
9	6 May (BN + RAd)	BN: Programming tips; excercises-questions.pdf; excercises-solutions.pdf RAd: Introduction to probability; Introduction to simulation	BN: data202_code_L10.R RAd: Week9-Code.R
10	13 May (RAd)	Applications of Simulation	Week10-Code.R
11	20 May (RAd)	Introduction to social networks; Network visualisation and network statistics	Social Networks (Slides); Network Visualisation and Network Statistics (Slides)
12	27 May (RAd)	Flows within networks; Importance, influence, and community