Title | Knowledge Management (KM) |
Type of course | Lecture and practical exercise |
Level | Master |
ECTS points | 6 |
SWS | 4 |
Language | English |
Time and place of lecture | Mondays, 12:00–13:30, B6, 23–25, Bauteil A – Room A 1.04 |
Time and place of exercises | 1. Tuesdays, 15:30–17:00, B6, 23-25 Bauteil A – Room 3.02 2. Wednesdays, 13:45–15:15, B6, 23–25, Bauteil A – Room A 1.04 |
Lecturer | |
Teaching Asssistants | |
First appointment:
- 13.02.2012 (lecture)
- 21./22.02.2012 (exercises)
Preliminaries:
- basic programming skills (as described here)
Grading:
The grade results from the written exam at the end of the semester.
Important: To participate in the written exam you have to…
1. achieve 50% of the total points of the exercises
2. present your exercise at least once
For more details attend to the first lecture.
Content of the Lecture
Many modern enterprises, especially in highly developed countries depend on the corporate and the individual knowledge of their employees. Knowledge is the driving force for innovation and a precondition for successful product development and operation. This knowledge, especially the individual knowledge, however is often in danger of not being systematically used or even being lost as people leave an organization. Knowledge Management(KM) aims at reducing this problem by methods for systematically identifying, formalizing, sharing and using knowledge across an organization.
This course approaches Knowledge Management from a technological point of view focussing on techniques from computer science that support the identification, extraction, formalization, sharing and use of knowledge in an organization. It is organized in five parts:
- Introduction
- Search and Discovery
- Knowledge Repositories
- Socialization and Collaboration
- Creativity and Problem Solving
Dates and Topics
Lecture plan:
Date | Topic | Material (PDF) | Exercises (PDF) |
|---|---|---|---|
Introduction | |||
13.02. | Knowledge Management I | – | |
20.02. | Knowledge Management II | ||
Search & Discovery | |||
27.02. | Information Retrieval I | ||
05.03. | Information Retrieval II | ||
12.03. | Data Mining I (Clustering) | ||
19.03. | Data Mining II (Classification) | ||
Knowledge Repositories | |||
26.03. | Information Extraction I | ||
02.04. - 13.04 | Easter Holidays | ☕ | ☕ |
16.04. | Information Extraction II | ||
23.04. | Knowledge Repositories | ||
Socialization and Collaboration | |||
30.04. | Web 2.0 and Enterprise 2.0 | ||
07.05 | Social network Analysis | ||
Creativity and Problem Solving | |||
14.05. | e-Learning and Communities of Practice | ||
21.05. | Crowdsourcing | ||
28.05. | Canceled | ☕ | ☕ |
tba. | Final Exam | Good Luck! | |
Exercise Sheets
The exercise sheets can be worked on individually or in teams of two persons. The exercises will be released every Monday on this page and the solutions must be submitted a week later on paper at the beginning of the lecture. If you cannot come to the lecture in person, there is a mailbox in B6 26 on the first floor where you can drop your work.
Every solution needs to contain the names and email addresses of its editors. Late submissions won't be considered. In case you have to send the solution via email the subject should look like this:
"ex #, name1[, name2]"
with # being replaced by the exercise's number.
Forum
We have a forum, where questions concerning the lecture and the exercises can be discussed. Students can log in with their RUM's name and password (click on "Anmelden" on the top right). There is no need to create a separate forum account. Students of other universities, please write an E-Mail (Name, Uni, Major) to the exercise instructor.