Course wiki for INFO319: Difference between revisions

Latest revision as of 16:11, 15 November 2022

This wiki (under development) contains practical information about INFO319 - Big Data in the autumn of 2022, including readings and exercises.

Readings: Mandatory and supplementary readings for the course. In addition, the sessions page proposes specific readings for each session.
Sessions: The course comprises 8 full-day seminars. The sessions involve lectures, demos, student presentations, and practical work.
Exercises: Exercises related to the sessions. Solutions to the exercises can form the backbone of the mandatory group assignment.
Assessment: The course assessment has three parts:
- Portfolio evaluation of the essay and group assignment (55%)
- Oral presentations of essay and group assignment (15%)
- Written exam (3 hours) (30%)
Essay: One part of the portfolio evaluation is "an individual, theoretical essay with thoughtful research and discussion of an assigned topic".
Project: Another part of the portfolio evaluation is a "practical assignment in groups" that has the form of a group programming project. Solutions to the suggested exercises can form the backbone of your project.
Participation: Participation in 80% of the course seminars is mandatory. Participation in the two last sessions is also mandatory (because your presentations there are part of the course assessment).
Administration: For formal and administrative information, see UiB's Study Portal.

Contact: Andreas.Opdahl@uib.no

For questions that are not strictly personal, always use the discussion forum (requires login) at mitt.uib.no. If I receive general questions about INFO319 by email, I will answer them in the forum anyway, so it is fastest to post them directly there.

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-This course plans will be further detailed and more readings added throughout the semester.
+This wiki (under development) contains practical information about INFO319 - Big Data in the autumn of 2022, including readings and exercises.
-* [[Sessions]]: Information about sessions covered in the course.
-* [[Readings]]: Information about books and articles used in the course.
-* [[Essay]]: Information about essay.
-* [[Student project]]: Information about the student programming project.
-* [[Tools]]: Which tools should we include/teach/introduce as part of the course?
-* [[Exercises]]: Proposals for exercises to run as part of the course, tied to the course themes and preferably using the tools, as well as which data to run the exercises on.
-* [[Literature]]: Proposals and ideas for literature we can use in the course - preferrably explicitly tied to the themes.
+* [[Readings]]: Mandatory and supplementary readings for the course. In addition, the sessions page proposes specific readings for each session.
+* [[Sessions]]: The course comprises 8 full-day seminars. The sessions involve lectures, demos, student presentations, and practical work.
+* [[Exercises]]: Exercises related to the sessions. Solutions to the exercises can form the backbone of the mandatory group assignment.
+* [https://www.uib.no/emne/INFO319?sem=2022h Assessment]: The course assessment has three parts:
+** Portfolio evaluation of the essay and group assignment (55%)
+** Oral presentations of essay and group assignment (15%)
+** Written exam (3 hours) (30%)
+* [[Essay]]: One part of the portfolio evaluation is "an individual, theoretical essay with thoughtful research and discussion of an assigned topic".
+* [[Programming project|Project]]: Another part of the portfolio evaluation is a "practical assignment in groups" that has the form of a group programming project. Solutions to the suggested exercises can form the backbone of your project.
+* Participation: Participation in 80% of the course seminars is ''mandatory''. Participation in ''the two last sessions is also mandatory'' (because your presentations there are part of the course assessment).
+<!-- * [[Datasets]] : Available datasets that can be used for data analysis. -->
+* [https://mitt.uib.no/courses/37204/pages/info319-big-data-h22 Administration]: For formal and administrative information, see [https://mitt.uib.no/courses/37204/pages/info319-big-data-h22 UiB's Study Portal].
 &nbsp;
-== Background ==
+'''Contact:''' [mailto:Andreas.Opdahl@uib.no Andreas.Opdahl@uib.no]
-Some background for the new course:
-* [[Course description]]: The formal description of the course as it currently appears in the university course list.
-* [[Context]]: Practical settings and formal requirements for the course, including the student's backgrounds, session lengths, semester outline, etc.
-== Prerequisites ==
-The course will build on the introductory and intermediate courses in big data technologies. If you register for the course without practical / programming skills, you are responsible for picking up the necessary background knowledge and skills on your own.
-== Requirements ==
-You must attend 80% of the [[Sessions | course sessions]], and you must submit a [[Essay | written individual essay]] and a [[student project | student group project]] by the given deadlines. Two of the sessions, the essay presentations on Thursday 2018-09-13 and programming project presentations on Thursday 2018-10-11, are mandatory.
-== Exam information ==
-* [[Essay | Written individual essay]], submission deadline 2018-12-05 1400, digitally through Inspera.
-* [[Student project | Student group project]], submission deadline 2018-11-27 0000, digitally through Inspera.
-* [[Final exam | Final exam]], on 2018-12-17.
-== Responsible ==
-Associate Professor [mailto:vimala.nunavath@uia.no Vimala Nunavath (vimala.nunavath@uia.no)] will lead the course in the autumn of 2018. For questions that are not strictly personal, always use the [https://mitt.uib.no/courses/2634/discussion_topics discussion forum (requires login)] at [https://mitt.uib.no/courses/13673/discussion_topics mitt.uib.no]. If I receive general questions about INFO 319 by email, I will answer them in the forum anyway, so it is fastest to post them directly there.
-&nbsp;
-'''Contact:''' [mailto:vimala.nunavath@uia.no vimala.nunavath@uia.no]
+''For questions that are not strictly personal, always use the [https://mitt.uib.no/courses/37204/discussion_topics/321322 discussion forum (requires login)] at [https://mitt.uib.no/courses/37204/pages/info319-big-data-h22 mitt.uib.no]. If I receive general questions about INFO319 by email, I will answer them in the forum anyway, so it is fastest to post them directly there.''