INFORMATION SYSTEMS Professional Standards of a PhD 1. General characteristics of PhD in Information Systems In academic field of Information Systems (IS) the PhD students must educate to high academic standard of research, have and apply knowledge in broad area depending with the IS function and development. The PhD program in IS must produce students who possess a dominating knowledge of the nature of IS, sophisticated applications, research on IS and the supporting technology in Computer Science. It deals with integrated information, computer and communication systems that support and augment individuals and groups in any field of application - management, business, engineering and manufacturing, health and medicine, education, social sciences, arts and humanities, etc. A PhD in IS should be also able to support multidisciplinary research. Good knowledge of IS and their exploiting will be necessary entry point for these activities. 2. Common skills Graduated PhD in IS should have the following skills to: Apply creativity and adaptability in exploiting acquired knowledge; Have ability for multidisciplinary task solving; Demonstrate an understanding of applying acquired theories and techniques that help to solve identification, analysis, design, implementation and verification vast information systems; Analyze conflicting project objectives, looking for and design balance solution within the given limits. 3. Specific skills Graduated PhD should have also the following more specific skills to: Develop and management of IS; Apply programming fundamentals and integrative programming; Analyze technical requirements of IS; Apply and to do software modeling and analysis in IS; Apply knowledge of security: issues and principles; Analyze and design of proper structure of information systems (relational, postrelational, object oriented); Use and design knowledge based systems (logic as a tool for knowledge representation in advanced information and knowledge systems). Do research in spatial, temporal, deductive IS; Do detailed overview of distributed information systems and their bottle necks; Use master web technologies (in respect to information systems); 4. Additional skills These skills mainly concerns both areas of research work and publication results and specific areas of research interests e.g. biology, medicine, business and so on. These skills should include following activities: Keep well informed about current technical trends and innovations and maintain long-term professional growth; Structure and exploiting information resources; Psychological aspect of group people leadership; Understanding and solving problems in different applications in practice and science. 5. IS curriculum The proposal for the IS PhD's education is based on the following sources: The answers to the questionnaires developed and filled in within the frame of this project; The curricula for bachelors [3] and (particularly) for masters [4] in IS developed under the 213871-CP-2-2002-1-BG-Erasmus-TN (ECET) project; Other curricula - [7…23]. The analysis of the abovementioned sources shows, as expected, coherence only to a certain degree. This is due to some differences in the European and USA traditions, to the different levels of graduation treated, to the different aims, to time differences (because even 3-4 years are essential to IS theory and practice development). Whilst taking seriously into account all the quoted sources, however we gave priority to the results obtained trough the questionnaires within this project. The general structure of the curriculum proposed encompasses the following units: 6 courses practical experience teaching practice research activities PhD thesis The overall duration is basically 4 years. In some cases, particularly when the PhD student has no prior practical experience, or the research area is objectively new, or there are other reasons – the duration might be expanded to 5 years. Courses The PhD's education in IS is organized in three levels: a) 1 of the 5 generic common courses; b) 2 of the 4 main courses must be of more general character and taken by all SE PhD students; c) the rest of the 3 courses should be determined by the tutor depending on the narrow area where the PhD thesis will be oriented. Practical experience The practical experience is obtained within the University and outdoor. The first type may consist of two exercises. The first one should be a (self-) critical analysis of a software engineering practical experience of the author – preferably from the real practice or in extreme – from previous student experience. The results have to be presented both through a written report and an oral presentation at a seminar. The second one may address a more complicated case in a similar way, or it may alternatively take the form of a critical literature survey. The second type of experience includes part-time work with local software houses, participation in development groups of real projects or with industrial partners of the University. Teaching practice It may include exercising as teaching assistant for one or two disciplines, assigned by the tutor. It may also include the tutoring of a master thesis (if permitted by the rules). Research activities and PhD thesis By definition the PhD thesis is required to be the result of research activities. Besides, it is recommendable that the PhD students work as a part of a research group in order to obtain the knowledge, habits and skill for doing research. The PhD student is encouraged to visit faculty and project web pages, read papers, and contact faculty and current students affiliated with projects of potential interest. Research projects, while focused on practical engineering challenges, take a scientific approach. Hence, the student will have the opportunity to identify research hypotheses, do experiments possibly involving some engineering and interaction, data collection and feedback. References: 1. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Bachelors Professional Standards in IS. 2. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Masters Professional Standards in IS. 3. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Bachelors curricula in IS. 4. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Masters curricula in IS. 5. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Bachelors syllabi in IS. 6. 213871-CP-2-2002-1-BG-Erasmus-TN (ECET): Masters syllabi in IS. 7. Computing Curricula 2001 (CC2001), ACM/IEEE-Curriculum 2001 Task Force, December 2001. http://www.computer.org/education/cc2001 www.computer.org/education/cc2001/final/index.htm 8. Computing Curricula 2005, The Overview Report, 11/04/2005. The Joint Task Force for Computing Curricula 2005, A cooperative project of The Association for Computing (ACM), The Association for Information Systems (AIS), The Computer Society (IEEE-CS). http://www.acm.org/education/curricula.html. 9. MS/PhD status of special topics courses, University of Maryland, Department of Computer Science, 2006. http://www.cs.umd.edu/ 10. Claremont Graduate University, School of IS and Technology, 2004. 11. Computing Research Association (CRA),The Supply of Information Technology Workers in USA, Chapter-5: Supply- The Degree Programs, 2004. http://www.cra.org/ 12. New Jersey Institute of Technology, Graduate, Department of IS. http://www.njit.edu/ 13. Communication and Information Sciences, Interdisciplinary programs, Catalog 2004. www.hawaii.edu/cis 14. Polytechnic University, Doctor of Philosophy, Curriculum. http://www.managementdept.poly.edu/ 15. Drexel University, PhD program: Curriculum, 2005. http://www.drexel.edu/ 16. LSE, Department of Information Systems, PhD programs. http://www.is.lse.ac.uk/ 17. The School of Management, The University of Texas at Dallas, Graduate Degree Programs, PhD Programs, Information systems concentration. http://www.som.utdallas.edu/ 18. Stanford GSB, Graduate school of Business, PhD program, Information&technology, 2005. http://www.stanford.edu/ 19. UMBC, Information Systems Department, Baltimore. http://www.umbc.edu/ 20. Academic and Financial Policies, Student Resources, Program Curricula, Walden University Catalog 2004–2005. http://www.waldenu.edu/ 21. University of Michigan –Dearborn, Department of Computer and Information science. http://www.engin.umd.umich.edu/ 22. Virginia Commonwealth University, PhD Handbook, last ed.2005. http://www.gsib.bus.vcu.edu/Phd_resources/phdguide.pdf.waldenu.edu/catalo 23. PhD in Computer Information Systems, Nova Southeastern University, Florida, 2003. http://www.scis.nova.edu?Commmon/Catalogs/