This is a taught course in the School of Informatics suitable for first-year undergraduate students (SCQF level 8). The course provides an introduction to representing and interpreting data from areas across Informatics; treating in particular structured, semi-structured, and unstructured data models. For further details see the course catalogue entry.
Lectures: 11.10–12.00 Tuesdays and 14.10–15.00 Fridays during Semester 2. Tuesday lectures are in the Lecture Theatre 5 of Appleton Tower and Friday lectures are in Lecture Theatre B of the David Hume Tower. You are strongly advised to attend all lectures.
Tutorials: You will have weekly meetings in a small group with your course tutor. These start in week 3 and happen each week until the end of semester, except for Innovative Learning Week. If you are ill or otherwise unable to attend one week then email your tutor, and if possible attend another tutorial group in the same week.
If you wish to move to a different tutorial group, please ask the ITO through their online contact form.
Coursework: Exercise sheets for each tutorial are available from Tuesday of the preceding week. You should complete these during the week, and bring your solutions to the tutorial for discussion; if your work is online, bring a printout.
There is also a more substantial written assignment based on previous exam questions, which will be marked by your course tutor. To see an example, you can download last year's assignment and some notes for students explaining the solutions.
|Start||Semester 2 Week 7||Thursday 6 March||Sheet available from course web page|
|Submit||Semester 2 Week 9||Thursday 20 March||Submission by 4pm to box outside ITO|
|Return||Semester 2 Week 11||31 March – 2 April||Work returned in tutorials|
Feedback Every week your course tutor will give verbal feedback on your work as part of the group meeting; you will also have the opportunity to discuss any difficulties with others in the tutorial.
Your tutor will mark your assignment in the final weeks of the course, and return it to you with written comments. The course lecturer will also publish notes for you to review your own work, with sample solutions and guidance based on the submissions of all students. Following this, you will have a tutorial meeting dedicated to discussion and feedback on the assignment.
The final lecture of the semester will review what you have done in the course, giving feedback and advice on how to best prepare for the examination.This assessment and feedback is all formative: it does not count towards your final grade, but is there to help increase your understanding and improve your work.
Examination: Assessment for Inf1-DA is based on a two-hour written examination at the end of the year. The paper follows a similar format each year, and past papers are available online.
Informatics 1: Data & Analysis is part of the first-year programme for all undergraduate degrees in the School of Informatics. During Semester 2, students should also be taking Informatics 1: Object Oriented Programming. Please see the following link for more information.
Slides: Slides from each lecture will be placed online as the course progresses.
Videos: Recordings of lectures will also be available online.
Please note that these recordings supplement lectures by allowing you to review the material presented and later revise for the course exam. They are not intended as a substitute for attending and participating in the lectures themselves.
Reading: There is no required course textbook, although some material is handed out in lectures. The following are useful references for the three components of the course.
R. Ramakrishnan and J. Gehrke. Database Management Systems. Third Edition, McGraw-Hill, 2003.
A. Møller and M. Schwartzbach. An Introduction to XML and Web Technologies. Addison Wesley, 2006.
T. McEnery and A. Wilson. Corpus Linguistics. Second edition, Edinburgh University Press, 2001. Chapter 2: What is a corpus and what is in it?
Previous Years: The web pages for previous incarnations of the course include slides, lecture videos, reading material, and tutorial exercises.
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