1. ADAPTIVE SYSTEMS & USER MODELING: course structure revisited Alexandra I. Cristea USI intensive course “Adaptive Systems” April-May 2003

2. Introduction Course site: http://wwwis.win.tue.nl/~alex/HTML/USI/index.html http://wwwis.win.tue.nl/~alex/HTML/USI/index.html Containing: –Course schedule, principles, tasks, etc. Please visit regularly to check for new info!

3. Module division I. Adaptive Systems & User Modeling course II. Project work

4. Adaptive System course parts 1.Adaptive Systems, Generalities: Motivational aspects: natural AS, ex. from different domains soft vs. hard, I-O issues of AS, goal, adaptive vs. adaptable 2.User Modeling Goal, history, academic developments, I-O issues of UM, techniques, economical developments, future 3.Data representation & manipulation for AS 1.Symbolic example: Concept Maps 2.Subsymbolic example: Neural Networks I (data representation) 4.Subsymbolic Knowledge Part – cont. : 1.Neural Networks II (data manipulation) 2.Adaptive Systems, invited talk: Genetic Algorithms

5. Concept map of relations between course parts Adaptive System User Modeling system IS-A System IS-A

6. Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A uses

7. Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A Technique IS-A uses

8. Concept map of relations between course parts Adaptive System User Modeling system IS-A Data modeling Data manipulation System IS-A Technique IS-A uses Concept map IS-A Rule base IS-A

9. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A

10. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type of-a

11. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type Symbolic Sub- Symbolic IS-A of-a

12. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Concept map IS-A Rule base IS-A Type Symbolic Sub- Symbolic IS-A of-a IS-A

13. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN ?

14. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN IS-A

15. Concept map of relations between course parts Data modeling Data manipulation Technique IS-A Type Symbolic Sub- Symbolic IS-A of-a NN IS-A

16. Project work parts 1.Presentation theoretical framework MOT: LAOS, LAG 2.Presentation MOT 3.Presentation project assignments 4.Group work 5.Project and results presentation and evaluation

17. Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A Data modeling Data manipulation Technique IS-A

18. Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A uses

19. Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses specifies

20. Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses specifies

21. Relationship between theory and praxis Adaptive System User Modeling system IS-A System IS-A MOT LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses implements uses specifies

22. Relationship between theory and praxis Adaptive Hypermedia User Modeling system IS-A System IS-A MOT LAOS LAG Data modeling Data manipulation Technique IS-A specifies uses implements uses specifies (Adaptive Hypermedia IS-A Adaptive System)