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Faculty of Information Technology

Faculty of Information Technology. B.Sc. / M.Sc. B.Sc. / M.Sc. (Econ.). Department of Mathematical Information Technology. Department of Computer Science and Information Systems. Software Engineering. Mathematics (30 ECTS). Economics. Economics Entre- preneurship Cognitive Science.

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Faculty of Information Technology

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  1. Faculty of Information Technology B.Sc. / M.Sc. B.Sc. / M.Sc. (Econ.) Department of Mathematical Information Technology Department of Computer Science and Information Systems Software Engineering Mathematics (30 ECTS) Economics Economics Entre- preneurship Cognitive Science Information Systems Telecommunication Digital Media Group Technologies Embedded Systems User-friendly IT Software Business Electronic Commerce Scientific Computing Mathematics (70 ECTS) Science Mathematics (30 ECTS) Statistics Teacher Education (1) Software Engineering

  2. Scientific computing General Studies Common Studies in the Major Subject • Specified Studies in the Major Subject • Numerical Methods • Optimisation • Modelling and Simulation • Mathematical Algorithms • Computer Graphics Mathematics

  3. Teacher Education in Computer Science Study-line 1 Study-line 2 General Studies Common Studies in the Major Subject Studies in the Minor Subject: Mathematics Specified Studies in the Major Subject Studies in the Minor Subject Teacher's Pedagogics Studies Business instructors and consultants Comprehensive and Upper Secondary school teachers

  4. Role of Mathematics … • Pure programming is discrete mathematics (structures) and logic! • Optimisation and Optimal Control are functional analysis! • Computer Graphics is linear algebra! • Modelling is PDE's and BVP's! … has been, is and will be essential!

  5. Development Strategy: PPP UJ: A-Learning School Project N • learning theories • human development • cognition science • pedagogics • • e-pedagogics • teaching technology What to teach? How to teach? Why to teach? To whom to teach? Subject N . . . Project 2 . . . Knowledge management  Knowledge utilization  Knowledge generation Subject 2 Virtual environment Project 1 Subject 1 Company Technology 1 Research 1 structures processes Course 1 Project 1 communication semantics Research 2 Technology 2 knowledge acquisition standards Course 2 Project 2 . . . . . . . . . . . . Research N Technology N What to produce? How to produce? Course N Project N Possibilities : latest knowledge, context liability; new model for co-operation Risks: IPR, contracts, commitment, maintenance, complexity, technology maturity How to start: prototypes in compact application area

  6. Development Strategy in practice: Networking • Summer courses for Upper Secondary School students (Telecommunication, Functional programming, Graphs and game theory, Multimedia in Mathematics) • Basic studies of IT for selected schools (upper secondary school, adult education; open university) available • Development of Upper Secondary School network ; Multimedia-based study materials of mathematics and physics from Stanford University (Kullervo Nieminen) • Virtual University of Jyväskylä • Agora Learning Laboratory • MaDaMe research programme

  7. Proposition To increase the qualification of teachers in mathematics, natural sciences and computer science we need teacher's professional licentiate degree with necessary allocation of resources!

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