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Degree Regulations & Programmes of Study 2010/2011
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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Text Technologies (Level 10) (INFR10025)

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 10 (Year 4 Undergraduate) Credits 10
Home subject area Informatics Other subject area None
Course website http://www.inf.ed.ac.uk/teaching/courses/tts
Course description The course deals with retrieval technologies behind search engines, such as Google. The course will aim to strike a balance between theoretical and system-related aspects of the field. The course will cover:

1. Theoretical aspects, including properties of text, queries, relevance, major retrieval models and evaluation;
2. System-related aspects, including crawlers, text processing, index construction and retrieval algorithms; and
3. Applications, including cross-language and multi-media search.

The same material will be covered in the level 10 and level 11 versions of the course. Level 11 students should expect more challenging assignments and an increased programming load.
Entry Requirements
Pre-requisites Students MUST have passed: Informatics 2A - Processing Formal and Natural Languages (INFR08008)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Text Technologies (Level 11) (INFR11027)
Other requirements For Informatics PG and final year MInf students only, or by special permission of the School.

This course has the following mathematics prerequisites:

1. Probability theory: random variables, expectation, joint and conditional probabilities; discrete and continuous univariate distributions. [at the level of MI1 and MI4]

2. Algebra: definition of vectors and matrices; vector addition and inner product; matrix multiplication. [at the level of MI2]

3. Calculus: functions of several variables, univariate integrals and derivatives, univariate maxima and minima. [at the level of MI1]

4. Special functions: log, exp [at the level of MI1]
Additional Costs None
Information for Visiting Students
Pre-requisites None
Prospectus website http://www.ed.ac.uk/studying/visiting-exchange/courses
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
CentralLecture1-11 12:10 - 13:00
CentralLecture1-11 12:10 - 13:00
First Class Week 1, Monday, 12:10 - 13:00, Zone: Central. Room 2.13, Old Infirmary Building, High School Yards
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
CentralLecture1-11 12:10 - 13:00
CentralLecture1-11 12:10 - 13:00
First Class Week 1, Monday, 12:10 - 13:00, Zone: Central. Room 2.13, Old Infirmary Building, High School Yards
Summary of Intended Learning Outcomes
1 - Describe the main algorithms for processing, storing and retrieving text.
2 - Show familiarity with theoretical aspects of IR, including the major retrieval models.
3 - Discuss the range of issues involved in building a real search engine
4 - Evaluate the effectiveness of a retrieval algorithm
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0

Assessment
There will be a final exam, contributing 70% of the course mark. The remaining 30% will be assessed through a combination of problem sets and programming exercises involving application of existing algorithms and evalution techniques.

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 Amos Storkey
Tel: (0131 6)51 1208
Email: A.Storkey@ed.ac.uk
Course secretary Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:10 am