Basic Modules - Information and Knowledge Systems

Courses in this module may cover the basic knowledge on knowledge management, information systems, advanced database technologies, semistructured data.


Courses from FUB

Course: Knowledge Bases and Databases
Authors: Enrico Franconi
Description: This course will offer few advanced topics about the application of knowledge representation technologies to database problems: this includes: information access mediated by ontologies; Data integration systems, Consistent query answering, Semantics Driven Support for Query Formulation.

Course: XML and Semistructured Databases
Authors: Andrea Calì
Description: The objective of the XML and Semistructured Databases course is to provide students with both theoretical and practical knowledge about semistructured data. In particular, the XML language is introduced, together with a family of XML-based formalisms that are used to query and manipulate XML documents. Specifically, the course will cover expressive power of XML languages and computational complexity of tasks related to XML data, in particular XML parsing and containment of queries. Since the focus is for a data-oriented use of XML, the course will also cover techniques for storing XML data in traditional relational databases. As for practical aspects, during this course the students will learn to develop an application that queries and manipulates XML data.

Course: Distributed Databases
Authors: Thomas B. Hodel
Description: The objective of the Distributed Databases course will cover the theory of distributed databases and the use of distributed databases in business. Lab-based seminars have the objective to design and implement concepts of a distributed database management system. The syllabus includes: Distributed DBMS Architecture; Distributed Database Design; Transaction Management; Distributed Concurrency Control; Distributed DBMS Reliability; Parallel Database Systems; Current Issues.

Course: Temporal and Spatial Databases
Authors: Johann Gamper
Description: New course, syllabus to be defined yet

Course: Foundations of Databases
Authors: Werner Nutt
Description: The aim of the course is to deepen the knowledge of students about the formal concepts underlying database systems. Semantic aspects such as containment and equivalence of queries, modeling incomplete information, information integration and expressive power of query languages will be considered as well as computational aspects such as evaluation, optimization, and rewriting of queries as well as the computational complexity of selected query languages. The syllabus includes: Relational query languages, relational calculus; Conjunctive queries, equivalence and containment of conjunctive queries, query processing and optimization; Datalog and recursion, datalog evaluation; Incomplete information, possible and certain answers; Information integration, query rewriting.

Course: Data Warehousing and Data Mining
Authors: Michael H. Boehlen and Arturas Mazeika
Description: Enable students to understand and implement classical algorithms in data mining and data warehousing. The syllabus includes: Visual data mining; * Statistical primer: parameter estimation, quality metrics of parameter estimation, hypothesis testing, Bayes theorem, histograms, scatter plots, regression, Classification algorithms, Clustering algorithms, Association rules, Web mining, Spatial mining, Temporal mining, Data Warehousing, OLAP, The multi-dimensional join, Data integration, Data quality.

Courses from UPM

Courses from UniTn

Course: Organizational Information Systems
Authors: Yannis Velagrakis
Classification: 1.2
Description: Introduction - what are organizational information systems? The structure and operation of business organizations, business processes; System and technology background; Design and implementation of organizational information systems - artifacts and processes, big bang vs phased; Training and operation; Types of organizational information systems: Customer Relationship Management, Supply Chain Management, Product Lifecycle Management, Supplier Relationship Management, Enterprise Portals, Business Intelligence, Mobile Business and Marketplace, supporting information systems..

Courses from VU

Course: Knowledge Management and Modelling
Authors: prof. dr. J.M. Akkermans, prof. dr. A.T. Schreiber
Classification: 1.0.1, 1.0.2, 2.3.2, 2.7.1
Description: Knowledge management is a relatively new discipline which has as its aim the efficiency improvement of the production factor "knowledge" and of the related business processes (knowledge creation, distribution, application and maintenance). The course "Knowledge Management and Modelling" is concerned with the organizational aspects of knowledge management, as well as the question how knowledge can be described with the support of modern information-modeling techniques. The notion of pattern-based knowledge modeling is a key issue in the knowledge management process. Students carry out a knowledge-management project in small project groups in a problem domain and organization of choice.

Course: Knowledge Based Systems
Authors: dr. M. Klein
Classification: 1.1
Description: Knowledge-based systems are viewed in this course at two levels: the symbol level and the knowledge level. At the symbol level we look for the representation which are able to be used to represent several types knowledge and to reason about it. The course treats the representation and reasoning over time and space and reasoning with uncertain or incomplete knowledge. At the knowledge level an analysis is made of the different kind of tasks which can be carried out by a system and of the type knowledge which is required for a certain task. Examples which will be discussed in this course are classification, configuration and diagnosis. For each of these applications the relevant knowledge types will be discussed, as well as a number of practical systems.

Courses from UKarl

Course: Knowledge Management (Wissensmanagement)
Authors: Studer
ECTS: 4.5
Classification: 1.0.1, 2.7.1
Description: The course covers the different kinds of knowledge used in knowledge management, the corresponding processes (knowledge generation, access, and application), and methods for the implementation of knowledge management solutions. The focus lies on computer science methods to support knowledge management in intranet environments, including sharing of knowledge and navigation of knowledge structures. This includes ontologies and topic maps as modeling primitives, knowledge portals and case-based reasoning. Further, the foundations of data warehousing are introduced. Typical knowledge management applications are discussed. The course will be held in German.

Course: Information and Knowledge Management (Informations- und Wissensmanagement)
Authors: Böhm, Studer
ECTS: 4.5
Classification: 1.2, 1.2.1, 1.2.2
Description: The course is split into two parts: the foundations of database systems and knowledge management. In detail the following topics will be covered: relational modeling (dependencies, normalization), SQL, object-oriented modeling (ODMG standard), database development (mapping of conceptual to logical models), transactions, architecture and implementation of database systems, ontology-based knowledge management, topic maps, case-based reasoning, and knowledge management applications. The course will be held in German.

Course: Database Systems (Datenbanksysteme)
Authors: Stucky
ECTS: 4.5
Classification: 1.2.2
Description: Database systems (DBS) play a central role in today's enterprises. Internal and external data are stored and applied through databases. The correct administration and organization of this data allows simultaneous access of several users. It is the organizational and operational basis for the complete workflows and processes within the enterprise. The course introduces the theory of databases (relational model, distributed data model, hierarchical model), includes the database languages and systems, considers object-oriented databases, introduces the basics of multiuser-access, and the physical data organization. Further, typical database problems such as correctness and integrity, recovery options, and synchronization of parallel transactions are addressed. The course will be held in German.

Course: Database Systems and XML (Datenbanksysteme und XML)
Authors: Oberweis
ECTS: 4.5
Classification: 1.2.2, 1.3.1,,,,
Description: Databases have been proven successfully for the management of large amounts of data. The oldest database model, the hierarchical model, has been replaced through other models such as the relational or object-oriented model. However, in the last years it has again gained importance, especially through the eXtensible Markup Language (XML). XML is a data format to represent semi-structured data. The consistent and reliable storage of XML documents requires databases able to cope with these. This course will cover the following topics: XML query languages, storage of XML-documents, indexing of XML-documents, and general concepts of XML-oriented database systems. The course will be held in German.