Postgraduate Course: Data Mining and Exploration (INFR11007)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/dme |
|
|
| Course description |
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 will develop the ideas taught in the modules Learning from Data 1 and Probabilistic Modelling and Reasoning and discuss the issues in applying them to real-world data sets, as well as teaching about other techniques and data-visualization methods. The course will also feature case-study presentations and each student will undertake a mini-project on a real-world dataset. |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
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WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | | 14:00 - 15:50 |
| First Class |
Week 1, Friday, 14:00 - 15:50, Zone: Central. Room G.11, William Robertson Building |
Summary of Intended Learning Outcomes
1 - Describe the data mining process in overview, and demonstrate assessment of the challenges of a given data mining project
2 - Describe methods used for exploratory data analysis, predictive modelling and performance evaluation
3 - Critical evaluation of papers presented in the second part of the course
4 - In the mini-project, demonstrate the ability to conduct experimental investigations and draw valid conclusions from them
5 - Demonstrate use of data mining packages/computational environments such as weka and netlab in the mini-project phase |
Assessment Information
Written Examination 50
Assessed Assignments 35
Oral Presentations 15
Assessment
Two items, (1) the presentation of research paper on data mining to the class and (2) a mini-project on one dataset chosen from a list of datasets selected by the instructor.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:10 am
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