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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2012/2013
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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Informatics 1 - Data and Analysis (INFR08015)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 8 (Year 1 Undergraduate) Credits10
Home subject areaInformatics Other subject areaNone
Course website http://www.inf.ed.ac.uk/teaching/courses/inf1/da Taught in Gaelic?No
Course descriptionAn introduction to collecting, representing and interpreting data across the range of informatics. Students will learn the different perspectives from which data is used, the different terminology used when referring to them and a number of representation and manipulation methods. The course will present a small number of running, illustrative examples from the perspectives of hypothesis testing and query formation and answering.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Informatics 1 - Computation and Logic (INFR08012) AND Informatics 1 - Functional Programming (INFR08013)
Co-requisites Students MUST also take: Informatics 1 - Object-Oriented Programming (INFR08014)
Prohibited Combinations Other requirements SCE H-grade Mathematics or equivalent is desirable.
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2012/13 Semester 2, Available to all students (SV1) Learn enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 14:00 - 14:50
CentralLecture1-11 11:10 - 12:00
First Class Week 1, Tuesday, 11:10 - 12:00, Zone: Central. Lecture Theatre 5, Appleton Tower
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
Summary of Intended Learning Outcomes
1 - Demonstrate knowledge of the terminology and paradigms used in different areas of informatics for collecting, representing and interpreting data, by being able to apply them to sample problems.
2 - Demonstrate understanding of different types of data (for example, structured/semistructured/unstructured, quantitative/qualitative).
3 - Demonstrate proficiency of the entity/relationship model by being able to specify appropriate representations and queries for simple examples.
4 - Show awareness of the importance of logic for the representation of data by being able to design simple logical representation of a given data set.
5 - Present data in a variety of forms (textual, graphical, quantitative), across a range of data types.
6 - Show awareness of the distinction between object data and meta-data, by being able to apply it to a number of applications across informatics (e.g., databases, corpora).
7 - Demonstrate knowledge of the basic algorithms for interpreting and processing data, by being able to demonstrate how these algorithms work for simple data sets.
Assessment Information
Written Examination 100
Assessed Assignments 0
Oral Presentations 0

Assessment
Formative assessment will be used to provide feedback and guidance to students and will take the form of quizzes, exercise sheets, practical exercises and coursework assignments, covering areas from across the syllabus.
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Structured data and relational databases. Semistructured data and XML. Text corpora. Unstructured data and its analysis.

Relevant QAA Computing Curriculum Sections: to be confirmed
Transferable skills Not entered
Reading list * Database Management Systems Raghu Ramakrishnan, Johannes Gehrke McGraw-Hill, Third edition, 2002
* Corpus Linguistics: An Introduction Tony McEnery, Andrew Wilson Edinburgh University Press, Second edition, 2001
Study Abroad Not entered
Study Pattern Lectures 20
Tutorials 10
Timetabled Laboratories 0
Non-timetabled assessed assignments 0
Private Study/Other 70
Total 100
KeywordsNot entered
Contacts
Course organiserDr Ian Stark
Tel: (0131 6)50 5143
Email: Ian.Stark@ed.ac.uk
Course secretaryMs Kirsten Belk
Tel: (0131 6)50 5194
Email: kbelk@exseed.ed.ac.uk
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© Copyright 2012 The University of Edinburgh - 14 January 2013 4:08 am