Postgraduate Course: Extreme Computing (INFR11088)
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/exc/ |
|
|
| Course description |
Extreme Computing deals with the principles, systems and algorithms behind Web-scale problem solving. This touches upon the technologies and techniques used by companies such as Google, FaceBook and Microsoft, using warehouse-scale computing and massive datasets. The course will be in three parts: the principles behind extreme computing (cloud computing, scaling, performance, privacy etc), supporting infrastructure (distributed file systems, replication, web services etc) and algorithms (MapReduce, case studies from Natural Language Processing, Database query evaluation, machine learning, streaming). |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
Background in programming.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | 16:10 - 17:00 | | | | | | Central | Lecture | | 1-11 | | | | 16:10 - 17:00 | |
| First Class |
Week 1, Monday, 16:10 - 17:00, Zone: Central. Seminar Room 5, Chrystal Macmillan Building |
|
| Delivery period: 2010/11 Semester 1, Part-year visiting students only (VV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | 16:10 - 17:00 | | | | | | Central | Lecture | | 1-11 | | 16:10 - 17:00 | | | |
| First Class |
Week 1, Monday, 16:10 - 17:00, Zone: Central. Seminar Room 5, Chrystal Macmillan Building |
Summary of Intended Learning Outcomes
- Demonstrate knowledge of the need for extreme computing by providing motivating examples of the scale of problems only extreme computing can solve.
- Demonstrate knowledge of the infrastructure necessary for extreme computing through enumerating different file system designs, virtualisation techniques, and fault-tolerance paradigms. In particular, the first essay coursework will present the students with a large-scale computing problem and ask them to present a design using the knowledge acquired from the first part of the course (see also detailed syllabus).
- Demonstrate knowledge of cluster-based algorithms for natural language processing, database query evaluation, machine learning, and data stream processing through the use of the Map/Reduce programming paradigm. Specifically, the second assessed piece of coursework will test the students' ability to implement large-scale data analytics using Map/Reduce. |
Assessment Information
Assessment Weightings (%)
Written Examination 50
Assessed Assignments 50
Oral Presentations 0
|
| 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 6:11 am
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