Course wiki for INFO319: Difference between revisions

Revision as of 12:56, 5 July 2022

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

Sessions: The course comprises 8 full-day seminars. The sessions involve lectures, demos, student presentations, and practical work.
Readings: Course book and further readings for each session.
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 (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".
Practical group assignment: Another part of the portfolio evaluation is "practical assignment in groups". Solutions to the suggested exercises can form the backbone of the practical group assignment.
Required participation: Participation in 80% of course seminars is mandatory. Participation in the two last sessions is also mandatory (because the oral presentations are part of the course assessement):
Administrative/formal:

For formal and administrative information, see UiB's Study Portal (http://mitt.uib.no/info319).

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 wiki (under development) contains practical information about INFO319 - Big Data in the autumn of 2022, including readings and exercises.
-* [[Sessions]]: The course comprises 8 full-day seminars. The sessions involve lectures, demos, student presentations, and practical work. Participation in 80% of course seminars is mandatory.
+* [[Sessions]]: The course comprises 8 full-day seminars. The sessions involve lectures, demos, student presentations, and practical work.
 * [[Readings]]: Course book and further readings for each session.
 * [[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 assessment has three parts:
+* [https://www.uib.no/emne/INFO319?sem=2022h Assessment]: The course assessment has three parts:
-** Portfolio evaluation (55%) in two parts:
+** Portfolio evaluation (55%)
-*** An individual, theoretical essay with thoughtful research and discussion of an assigned topic
-*** Practical assignment in groups
 ** Oral presentations of essay and group assignment (15%)
 ** Written exam (3 hours) (30%)
-* [[Essay]]: Information about essay.
+* [[Essay]]: One part of the portfolio evaluation is "an individual, theoretical essay with thoughtful research and discussion of an assigned topic".
-* [[Group assignment]]:
+* [[Practical group assignment]]: Another part of the portfolio evaluation is "practical assignment in groups". Solutions to the suggested exercises can form the backbone of the practical group assignment.
+* Required participation: Participation in 80% of course seminars is mandatory. Participation in the two last sessions is also mandatory (because the oral presentations are part of the course assessement):
-Information about the group assignment (a programming project that can be based on the exercises).
+<!-- * [[Datasets]] : Available datasets that can be used for data analysis. -->
-<!-- * [[Datasets]] : Available datasets that can be used for data analysis.
 * [https://mitt.uib.no/courses/37204/pages/info319-big-data-h22 Administrative/formal]:
 For formal and administrative information, see [https://mitt.uib.no/courses/37204/pages/info319-big-data-h22 UiB's Study Portal (http://mitt.uib.no/info319)].
 &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 ==
+''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 INFO319 by email, I will answer them in the forum anyway, so it is fastest to post them directly there.''
-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 2020-11-26 and programming project presentations on Friday 2020-11-27, are mandatory.
-== Exam information ==
-* [[Essay | Written individual essay]], submission deadline 2020-11-20 1400, digitally through Inspera.
-* [[Student project | Student group project]], submission deadline 2020-11-25 1400, digitally through Inspera.
-* [[Final exam | Final exam]], on 2020-12-01.
-== Responsible ==
-Associate Professor [mailto:vimala.nunavath@usn.no Vimala Nunavath (vimala.nunavath@usn.no)] will lead the course in the autumn of 2020. 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 INFO319 by email, I will answer them in the forum anyway, so it is fastest to post them directly there.
--->
-&nbsp;
-'''Contact:''' [mailto:Andreas.Opdahl@uib.no Andreas.Opdahl@uib.no]