1. A New Curricula in « Computers and Information Technology » at the « Politehnica » University of Timisoara -Objectives and outcomes- I. Jurca « Politehnica>> University of Timisoara

2. Overview Legal Framework Scope and Objectives Model Documents Principles Outcomes Conclusions

3. Legal Framework Types of legal documents: – Laws –Government decisions –Ministerial regulations Law on Higher Education (288/2004) –Based on Bologna Declaration –Applicable starting with academic year 2005/2006 –240 ECTS (4 years) for first cycle in engineering studies – most other fields only 180 ECTS –Defines general knowledge and cognitive abilities for each cycle Government Decision 88/2005 –14 fundam. domains for 1st cycle –‘Engineering sciences’ has 23 ‘bachelor domains’ –‘Computers and Information Technology’ for the first time separated from ‘Systems Engineering’ –There may be several ‘specializations’ within a bachelor domain Ministerial regulations –Details on quality assurance in higher education ( a new law in preparation)

4. Scope and Objectives Define ‘competences’ and curricula for bachelor and master studies only (not for doctoral studies) Curricula must incorporate new developments in the field Curricula must allow for flexibility and offer the students several ‘concentation areas’ There should be a ‘smooth’ path from bachelor to master studies Local resources and ‘tradition’ must be taken into account

5. Model documents IEEE/ACM Computing Curricula 2005 (CS2001, CE2004, SE2004) European documents not detailed enough to serve as models Our current curricula Curricula of other Romanian universities Curricula of several European universities from: Germany, Switzerland, The Netherlands, Sweden Curricula of North-American Universities

6. Principles Must have a strong engineering background Must include subject from areas such as: foreign languages, economics, law Must include ‘practicum’ periods Reduce the number of subjects per semester and hours per week(5-6 subjects, 26 hours/week) Offer ‘tracks’ on computer engineering and on software engineering, with enough subjects on computer science Provide for the possible later introduction of a new specialization in ‘information technology’

7. Outcomes (1) Semester 1 SubjectCSLPEC TS Mathematical Analysis22005 Linear Algebra22004 Physics21104 Computer Programming20205 Logics and Discrete Structures 21104 Foreign Language02002 Culture and Civilisation11002 Sports02002 Practicum (1 week)2 Semester 2 SubjectCSLPECTS Differential Equations and Numerical Calculus 22004 Probabilities and Statistics 22004 Fundamentals of Electronics Engineering 20204 Fundamentals of Electrical Engineering 20103 Programming Technics20205 Digital Logic30205 Foreign Language02002 Sports01001 Practicum2

8. Outcomes (2) Semester 3 SubjectCSLPEC TS Fundam. of Mech. Eng. & Robotics 20103 Technical Writing11002 Data Structures & Algorithms 20205 Object-Oriented Programming (Java) 20204 Measurement Principles and Techniques 20204 Computer Architecture20205 Digital Circuits and Signals 20204 Sports01001 Practicum2 Semester 4 SubjectCSLPEC TS Microeconomics21003 Design and Analysis of Algorithms 20204 Fundamentals of Software Engineering 20205 Systems Theory20204 Computer Networks20204 Computer Organization20204 Integrated Circuits20204 Practicum2

9. Outcomes (3) Semester 5 SubjectCSLEC TS Management11002 Fundam. Concepts of Programming Languages 20114 Fundam. of Computer Eng. 20115 Operating Systems20205 Design of Digital Microsyst. 20204 VLSI / Detailed Design of Software Systems 20204 Free optional: 1 of: DSP, Assembly Lang. Progr, Web Progr., Quality in IT 20204 Practicum2 Semester 6 SubjectCLPECEC Marketing Fundam. of AI Embedded Systems Computer Graphics Databases Micropro c. Syst. Complex ity, calculabi lity Des.&arc of complx softw. sys. Compt. Eng., Semicond. Mem., Comp. Netw.Prog., Data mining

10. Outcomes (4) Semester 8 SubjectCLPECEC Marketing Fundam. of AI Embedded Systems Computer Graphics Databases Micropro c. Syst. Complex ity, calculabi lity Des.&arc of complx softw. sys. Compt. Eng., Semicond. Mem., Comp. Netw.Prog., Data mining Semester 7 Subject CSLP ECTSECTS Digital Telecommunications Interfaces and Peripheral Devices Modelling and Simulation Computer System Security 20205 Digital Data Acquisition and Processing Drivers DesignFormal Languages and Compilation Techniques Software Verification and Validation 20205 Computer Assisted Design Techniques (Note: students must select 4 optional courses out of the 12 offered for this semester) 20205 Multimedia Systems20205 Concurrent and Event-Driven Programming20205 Database Design20205

11. Outcomes (5) Semester 8 SubjectCLPECEC Marketing Fundam. of AI Embedded Systems Computer Graphics Databases Micropro c. Syst. Complex ity, calculabi lity Des.&arc of complx softw. sys. Compt. Eng., Semicond. Mem., Comp. Netw.Prog., Data mining Semester 8 Subject CSLP ECTSECTS Computer System Reliability Mobile Systems and Applications Expert SystemsSoftware Project Management 20205 Computer System Performance Evaluation (Note: Students must select three optional courses from the 7 offered in this semester 20205 Data Coding Techniques20205 Software Quality and Evolution20205 Graduation Project00010

12. Outcomes (6) Semester 8 SubjectCLPECEC Marketing Fundam. of AI Embedded Systems Computer Graphics Databases Micropro c. Syst. Complex ity, calculabi lity Des.&arc of complx softw. sys. Compt. Eng., Semicond. Mem., Comp. Netw.Prog., Data mining Semester 9 (Master Studies) Subject CSLPE C TS Computer System Testing Integrated Information Systems Translators Design Formal Verification and Program Analysis 20204 Reconfigurable Computation Image Recognition and Processing Neural NetworksDevelopment of Complex Distributed Applications 20204 Intelligent Sensors and Sensor Networks (Note: students must select 3 optional courses out of the 10 optional courses offered for this semester) 20204 Automatic Speech Processing20204 Design and Automatic Optimization of VLSI circuits20204 Artificial Intelligence Systems20204 Parallel Computation Algorithms20204 Graphical Processing Systems20204 Fiber Optic Transmission20204 High Performance Computation20204 Advanced Algorithms20204 Advanced Web Programming20204 Graduation Project00010

13. Outcomes (7) Semester 8 SubjectCLPECEC Marketing Fundam. of AI Embedded Systems Computer Graphics Databases Micropro c. Syst. Complex ity, calculabi lity Des.&arc of complx softw. sys. Compt. Eng., Semicond. Mem., Comp. Netw.Prog., Data mining Semester 10 (Master Studies) Subject CSLPE C TS Network AdministrationEmergent Technologies Models and Algorithms for Distributed Systems Real Time Programming Systems 20204 Advanced Digital Signal Processing Fault Tolerant Structures Machine LearningSoftware Components20204 Cellular Data Networks (Note: students must select 2 optional courses out of the 4 optional courses offered for this semester) 20204 Virtual Measuring Systems20204 Advanced Interfaces and Devices20204 Cognitive Systems20204 Advanced Databases20204 Euristic Methods20204 Advanced Software Technologies20204 Graduation Project00014

14. Conclusions/ Open Issues It is a ‘committee-designed’ curricula Better than present curricula Not well-defined core and prerequisites One year for MSc is enough? Too many ‘concentration areas’? Too many subjects/hour per week? Not for students, but for professors? Too many engineering courses?