Data Mining and Exploration

The aim of this course is to discuss modern techniques for analyzing, interpreting, visualizing and exploiting the data that is captured in scientific and commercial environments. The course develops the ideas taught in various machine learning courses and discusses the issues in applying them to real-world data sets, as well as teaching about other techniques and data-visualization methods. A detailed overview of the course can be found here.

Important dates

Quiz 1 deadline Tue 19 Jan, 11:59 PM GMT (wk 2)
Quiz 2 deadline Tue 26 Jan, 11:59 PM GMT (wk 3)
Paper preference submission deadline Fri 5 Feb, noon (wk 4)
Quiz 3 deadline Tue 9 Feb, 11:59 PM GMT (wk 5)
Project selection submission deadline Wed 10 Feb, noon (wk 5)
Class test Thu 25 Feb (wk 6)
Project progress report submission deadline Wed 17 March, noon (wk 8)
Project final report submission deadline Wed 7 April, 4pm (wk 12)

Quick links

DME catalogue page: DRPS | Learn | Timetable
Live sessions: DME MS Teams
Questions and answers: Piazza
Gradescope: Access via Learn
Course material: Lecture notes | Labs repo | Recording notes


Lecturer (lectures and computer labs): Michael Gutmann
Lecturer (presentations and project): Siddharth Narayanaswamy
Teaching Assistant: Lazaros Mitskopoulos
ITO course secretary (for admin requests): Lindsay Seal
For help on computer access problems (e.g. Learn, MS Teams): Central University's IT support helpline
For help on DICE: Informatics Computing Support team