Undergraduate Course: Informatics 1 - Data and Analysis (INFR08015)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 8 (Year 1 Undergraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||An 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.
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||Yes
Course Delivery Information
|Delivery period: 2011/12 Semester 2, Available to all students (SV1)
||WebCT enabled: No
|Central||Lecture||1-11|| 14:00 - 14:50|
|Central||Lecture||1-11|| 11:10 - 12:00|
||Week 1, Tuesday, 11:10 - 12:00, Zone: Central. AT LT3 |
|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.
|Written Examination 100|
Assessed Assignments 0
Oral Presentations 0
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.
||Structured data and relational databases. Semistructured data and XML. Text corpora. Unstructured data and its analysis.
Relevant QAA Computing Curriculum Sections: to be confirmed
||* 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
Timetabled Laboratories 0
Non-timetabled assessed assignments 0
Private Study/Other 70
|Course organiser||Dr Ewan Klein
Tel: (0131 6)50 2705
|Course secretary||Ms Kirsten Belk
Tel: (0131 6)50 5194
© Copyright 2011 The University of Edinburgh - 16 January 2012 6:15 am