johnz@latcs1.lat.oz.au (John Zeleznikow) (06/27/91)
Organization:Database Research Laboratory, Applied computing Research Institute, La Trobe Uni, Australia Sender: johnz@latcs1.lat.oz.au (John Zeleznikow) Organization: Comp Sci, La Trobe Uni, Australia Keywords:Artificial Intelligence, Information Systems, Daa Modelling Distribution: aus Date: Thu, 27 Jun 1991 06:07:16 GMT Summary:Advanced Course on Intelligent Information Systems INTELLIGENT INFORMATION MODELLING COURSE/WORKSHOP Lecturer: Professor Robert Meersman, Tilburg University, Netherlands Venue: Glenn Lecture Theatre, La Trobe University Time: 9a.m. - 2p.m. Mondays 1,8,15,22,29 July 1991 This course will involve designing and constructing modern information systems. It will include Entity-Relationship. NIAM and Binary Relation Models. There will be an extensive discussion of object-oriented databases and intelligent information systems, as well as CASE tools. The course will consist of lectures, tutorials, laboratories and supervised practical work. Professor Meersman is the director of INFOLAB, Tilburg University Netherlands. He is chairman of IFIP WG2.6 (on databases) and is currently writing a book on Advanced Information Modelling Techniques. Professor Meersman will be supported by Dr. John Zeleznikow and his team at the Database Research Laboratory at La Trobe University. Dr. Zeleznikow is an associate editor of the Australian Computer Journal, Tutorial Chairman of VLDB90, and General Chairman of an IFIP WG2.6 Conference on Interoperable Databases. The fee for the course is $950 ($475 for academic staff and $95 for students and unemployed people), and includes all use of software and hardware, written materials and meals and refreshments. For further information contact: Dr. John Zeleznikow Database Research Laboratory Applied Computing Research Institute La Trobe University Bundoora Victoria 3083 Australia Phone: 61.3.4791003 FAX: 61.3.4704915 ============================================================================ SYLLABUS Day 1. Introduction to information modelling. Pitfalls of normalisation. Entity Relationship Model. Semantic Data Modelling. Day 2. Principles and notation of NIAM (Nijssen Information Analysis Method) Binary Modelling. Examples of NIAM and Binary Modelling. Comparing NIAM and Binary Modelling to Entity Relationship Model. Day 3. Mapping NIAM Conceptual Models to Implementation Models e.g. SQL Day 4. CASE (Computer Aided Software Engineering) tools based on NIAM and Extended Entity Relationship Modelling. Day 5. Object Oriented Data Modelling Replacing NIAM concewptual modelling with object oriented modelling. Illustration and case studies.