Course Description

 

 NOTE: This course is from the academic year 2017/2018 no more offered.

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

Wednesdays, 12:00–13:30, Room A101, Building B6, 23-25 (Bauteil A)

Time and place of exercise

Mondays, 15:30–17:00, Room A101, Building A5, Room B 243 (Room change!)

Lecturer

Prof. Dr. Simone Ponzetto

Teaching Assistant

Dr. Goran Glavas, Dr. Stefano Faralli, Petar Ristoski

Mail

knowledgemanagement(at)informatik.uni-mannheim.de

ILIAS please register here


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 four parts:

  1. Introduction
  2. Search and Discovery
  3. Knowledge Acquisition and Representation
  4. Socialization and Collaboration

 

Dates and Topics 

Date

Topic

Introduction

15.02.

Knowledge Management I

22.02.

Knowledge Management II

Search & Discovery

01.03.

Information Retrieval I

08.03.

Information Retrieval II

15.03.

Data Mining I

22.03.

Data Mining II

29.03.

Text Mining I

05.04.

Text Mining II

Knowledge Acquisition and Representation

12.04.

(Easter Holidays)

19.04.

(Easter Holidays)

26.04.

Information Extraction I

03.05.

Information Extraction II

10.05.

Knowledge Representation

Socialization and Collaboration

17.05.

Web 2.0 and Semantic Wikis

24.05.

Social Network Analysis