Students are reminded that notes provided on this site are intended to form summary material only and are not intended to be a substitute for attending lectures or further reading on the subject.

My slides are not Lecture Notes

Students should download the notes to your own device. The notes are a living artifact and will evolve from semester to semester. It cannot be guaranteed that the notes will be available after the end of a semester.

Important: You will need to perform additional reading and research (outside of class time) to complete the various lab exercises and to explore the topics covered in more detail.

*** Module Introduction & Admin – Notes

Week of/begin
 Lecture Topic
17th Sept
 Introduction to Data Mining, Machine Learning and Data Science
24th Sept
 Data Mining / Data Science Life-cycle, Why it is different and the challenges
1st Oct
 Descriptive Analytics and Preparing Data
8th Oct
 Exploring Text & Basics of Text Mining
15th Oct
 Association Rule Analysis
22nd Oct
No Class this week. Catch up week

Self study, revision, complete all exercises, etc

29th Oct
5th Nov

 Assignment Handout

12th Nov
 Finish Classification – see previous weeks notes

Data Clustering

19th Nov
 The EU GDPR and Machine Learning/Data Science
26th Nov
 Deployment issues
 Data Visualisation
Ensemble Models
Automated & Autonomous Data Science
Other Data Mining/Data Science Project topics
3rd Dec
Assignment Due at end of this week.

No Class – Use the class and lab time to work on completing your assignment

I will endeavor to have assignment marks and a short feedback comment entered into WebCourses before Christmas.

If you would like to schedule a face-to-face feedback session in early January, email me.

10th Dec
Study & Revision
No ClassAssignment marking and feedback (by end of this week or end of next week)