Introduction to Web Science
[go to overview]Winter Term 2016 / 2017
Online Course Materials:
The materials of the course can be found at https://en.wikiversity.org/wiki/Web_Science
Slide decks:
- Oct. 25th: By Rene Introduction to Introduction to Web Science
- Oct. 25th: By Steffen Overview of the field Web Science
- Oct. 29th: By Korok Notes for the Tutorial.
The course consists of four parts.
Foundations of the Web:
Can be found at https://en.wikiversity.org/wiki/Web_Science/Part1:_Foundations_of_the_web
Emerging Web Properties:
Can be found at https://en.wikiversity.org/wiki/Web_Science/Part2:_Emerging_Web_Properties
Behavorial Models:
- Spreading Memes
- Herding Behaviour
- Socio-Economics aspects of Web
- Online Advertisement :
- Introduction to Online Advertisement
- Metrics for Online Advertisement
- Factors impact on Advertisement Campaigns
- Understanding Problems with Click Fraud.
- Optional: Interesting reading Yu et al. Tracking the Trackers. In: Proc. of WWW 2016 ("of the top 200 news sites, as ranked by Alexa, contain at least one tracker, and at least 50% of them contain at least 11")
Web & Society:
- Net Neutrality
- Copyright
Exam
Exam is in D028 on Friday, 24 February 2017, at 12:00 sharp. Do not forget to register in KLIPS. Registration is open till 17 February.
You will need 60 % of all points received during the Exercises (being held in the tutorial on Fridays) in order to be allowed to participate in the Exam
Re-Examination
Rexamination for this course for the winter term of 2016-17 will be in Room M001 on Friday, 28 April, 2017 from 14:00 hours sharp. Do not forget to register in KLIPS. Students who have secured 60% of the total points in the exercise sessions along with those who appeared in the last exam but could not pass will only be allowed for it.
Last year students
If you failed last years final exam you are allowed to retake it without the need of qualifying by receiving 60% of the points from the homework assignments. However we strongly suggest you work through the exercises and also take part in the lecture and tutorial as some of the content might have changed in comparison to last year and reviewing the materials on a weekly basis seems also to be usefull.
Assignments
For the assignments, you need to make a team of 3-4people. You can make your teams here as suggested by many students:
https://ist.uni-koblenz.de/teams/en/user/registration/3e6c58cb -b09b-4579-a0d5-6517165bdec9
Guidelines for submission of assignment can be found here.
The exercises are always due Wednesdays 10 a.m.
| Week | Assignment | Due Date | Solutions | Solution (Discussion) |
|---|---|---|---|---|
| 1 | Assignment 1 | November 2, 2016 | - | November 04, 2016 |
| 2 | Assignment 2 | November 9, 2016 | - | November 11, 2016 |
| 3 | Assignment 3 | November 16, 2016 | - | November 18, 2016 |
| 4 | Assignment 4 | November 23, 2016 | - | November 25, 2016 |
| 5 | Assignment 5 | November 30, 2016 | December 02, 2016 | |
| 6 | Assignment 6 | December 07, 2016 | December 09, 2016 | |
| 7 | Assignment 7 and probability functions | December 14, 2016 | December 16, 2016 | |
| 8 | Assignment 8 | January 11, 2017 | January 13, 2016 | |
| 9 | Assignment 9 | January 25, 2017 | January 30, 2017 Monday | |
| 10 | Assignment 10 | February 1, 2017 | February 3, 2017 | |
| 11 | Assignment 11 | February 08,2017 | February 10, 2017 | |
| 12 | Assignment 12 | February 15, 2017 | February 17, 2017 |
Vorlesung - Introduction to Web Science
Veranstaltungsnummer: 0432026
| Dozent(in) | René Pickhardt Prof. Dr. Steffen Staab Korok Sengputa |
| Termin(e) |
|
Übung - Übung zu Introduction to Web Science
Veranstaltungsnummer: 0432026
| Dozent(in) | René Pickhardt Prof. Dr. Steffen Staab Korok Sengputa Olga Zagovora |
| Termin(e) |
|
Lecturers
- Founder
- Alumnus