PRILOGA 10: Opisi predmetov doktorskega študijskega programa Organizacija in management informacijskih sistemov Predmet: Subject Title: Univerza v Mar

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1 PRILOGA 10: Opisi predmetov doktorskega študijskega programa Organizacija in management informacijskih sistemov Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Znanstveno prouĉevanje druţboslovnih pojavov Scientific research of social phenomenon Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year 1 1 Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: red. prof. dr. Damijan Miklavĉiĉ s sodelavcem izred. prof. dr. Matevţem Brenom Jeziki / Languages: Predavanja / Lecture: Slovenski jezik z literaturo v angleškem jeziku Slovene language with English-language literature Vaje / Tutorial: Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: - Obvladovanje osnovnih statistiĉnih metod - Osnovno poznavanje programskega orodja za analizo podatkov in statistiko (SPSS, SAS, R...) - Znanje angleškega jezika Vsebina: 1. Logika druţboslovnega raziskovanja 2. Raziskovalni proces 3. Izbira problema raziskovanja 4. Pisna predstavitev raziskovalnega problema 5. Javna predstavitev raziskovalnega problema 6. Tipi raziskovalnih naĉrtov, eksperimentalni in ne-eksperimentalni raziskovalni naĉrt 7. Metode zbiranja podatkov, verjetnostno in neverjetnostno vzorĉenje 8. Oblikovanje anketnega vprašalnika 9. Metode analize podatkov: statistiĉne analize uni/bi/multivariatne metode, predstavitve veĉrazseţnih podatkov 10. Etika v raziskovanju Prerequisits: - Command of basic statistic methods - Elementary skills in software for data analysis and statistics (SPSS, SAS, R ) - Command of English language Content (Syllabus outline): 1. The Logic of Social Research 2. The Research Process 3. Choosing the Research Problem 4. Written proposal of the Research Problem 5. Presentation of the Research Problem 6. Types of Research designs: experimental and non-experimental research design 7. Data Collection Methods 8. Questionaire design 9. Data anlysis methods: statistical analysis uni/bi/multivariat methods, multidimensional data presentation 10. Ethics in Social Research

2 Temeljni literatura in viri / Textbooks: 1. Allen, M. J. (2001). Introduction to Measurement Theory. Waveland Press. 2. Kaplan, D. (2004). Quantitative Methodology for the Social Sciences. Sage. 3. Neuman, W. Lawrence (1997): Social research Methods: Qualitative and quantittive approaches. Allyn and Bacon, London, Toronto, Sydney, Tokyo, Singapore 4. Dillon, W. R., Goldsten, M (1984): Multivariate analysis. Wiley, New York. 5. J. Jesenko, M. Jesenko: Multivariatne statistiĉne metode, Moderna organizacija Kranj Ferligoj, A. (1989): Razvršĉenje v skupine - teorija in uporaba v druţboslovju. Metodološki zvezki 4, FSPN, Ljubljana Kalton, G., Vehovar, V. (2001): Vzorĉenje v anketah, FDV, Univerza v Ljubljani. 8. Košmelj, B., Arh, F., Doberšek-Urbanc, A., Ferligoj, A., Omladiĉ, M. (2001): Statistiĉni terminološki slovar. Statistiĉno društvo Slovenije, Slovenska akademija znanosti in umetnosti, Ljubljana Cilji: Nauĉiti študente logike, procesa in metod druţboslovnega raziskovanja. Razviti poglobljeno poznavanje in razumevanje ustreznih kvantitativnih metod. Objectives: To teach students the logic, the process, and the methods of social research. To develop in-depth knowledge and understanding of the relevant quantitative methods. Predvideni študijski rezultati: Znanje in razumevanje: - Študent pozna in razume raziskovalni proces v druţboslovju ter kvantitativne metode za uporabo na razliĉnih raziskovalnih podroĉjih. - Zaveda se etiĉnih vprašanj raziskovalnega dela. Prenesljive/kljuĉne spretnosti in drugi atributi: - definiranje raziskovalnega problema in ciljev, - izbor ustreznega raziskovalnega dizajna, metod, tehnik in meritev, - statistiĉna obdelava podatkov, - ustrezna predstavitev in razlaga rezultatov. Intended learning outcomes: Knowledge and Understanding: - The student knows and understands the research process in social sciences, as well as quantitative methods applicable to different research areas. - The student is aware of ethical issues in research. Transferable/Key Skills and other attributes: - defining research problem and objectives, - choosing the appropriate research design, methods, techniques and measurements, - statistically analyzing the data, - presenting and interpreting the results. Metode poučevanja in učenja: Predavanja, razprave, študije primerov, uĉenje z delom. Learning and teaching methods: Lectures, discussions, case studies, learning by doing. Načini ocenjevanja: Naĉin (pisni izpit, ustno izpraševanje, naloge, projekt): Pisna predstavitev problema Pisna predstavitev metodologije Ustna predstavitev problema Deleţ (v %) / Weight (in %) 33 % 33 % 33 % Assessment: Type (examination, oral, coursework, project): Written Proposal of a Research Problem Written Proposal of Methodology Oral presentation of the Research Problem

3 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Informacijski sistemi Information systems Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: zasl. prof.dr. Miroljub Kljajić s sodelavci (J. Griĉar, M. Kljajić,V. Rajkoviĉ, J. Zupanĉiĉ, R. Leskovar) Jeziki / Languages: S/E Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: osvojena znanja s podroĉja organizacijske teorije in managementa ter teorije sistemov Prerequisits: Management knowledge, organizational theory and systems theory Vsebina: 1. Strategija e-poslovanja organizacij E-storitve kot strateška usmeritev, Medorganizacijsko povezovanje, Strategija e-regij Odprto inoviranje in ţivi laboratoriji. 2. Metode raziskav informacijskih sistemov Okolje in raziskovalni procesi v informatiki Raziskovalne strategije in metodologije, Kvalitativne in kvantitativne metode, Naĉrtovanje eksperimenta, Proces pridobivanja in analiza podatkov ter publikacija. 3. Skladišĉenje podatkov Koncepti skladišĉenja podatkov v velikih organiazcijskh sistemih, Napredna tehnologija skladišĉenja podatkov. 4. Metodologija razvoja informacijskih sistemov Metoda ISD, Razvojna orodja, Standardi razvoja IS 5. Sistemi informacijskih tehnologij Napredne baze podatkov in na znanju temeljĉi sistemi, Obdelava teksta in naravnega jezika, Inteligentni vmesniki, Iskanje znanja in hipertekstni sistemi, Aplikacije in raziskovalne priloţnosti. Content (Syllabus outline): 1. E-Business Strategies eservices as the strategic mission, Interorganizational clusters, eregion strategies,open innovation processes and living laboratories. 2. Methods of information technology research Environment and research processes in informatics, Research strategies and methodologies, Experimental design, Experimental data acquisition, Analysis and dissemination. 3. Data warehousing Concepts of data warehousing in large organizational systems, Advanced technologies of data warehousing 4.Methods of IS development Methodology and development process, Advanced development standards. 5.Information system technology Advanced databases and knowledge based systems Text processing and natural language processing, Intelligent interfaces, Knowledge search and hypertext systems, Applications and research opportunities

4 Temeljni literatura in viri / Textbooks: Electronic Commerce: A Managerial Perspective 2008 International Edition Turban King McKay Marshall Lee Viehland New Jersey: Pearson Prentice Hall, Decision Support Systems and Intelligent Systems (7th Edition) by Efraim Turban, Jay E. Aronson, and Ting-Peng Liang (Hardcover - April 8, 2004) Advances in Databases: Concepts, Systems and Applications: 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Bangkok,... (Lecture Notes in Computer Science) by Ramamohanarao Kotagiri, P. Radha Krishna, Mukesh Mohania, and Ekawit Nantajeewarawat (Paperback - May 3, 2007) Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization (Natural Language Processing) by Peter Jackson and Isabelle Moulinier (Paperback - Jun 15, 2007) Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Hardcover - Oct 1, 2007) Advances in Artificial Life: 9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings (Lecture Notes in Computer Science) (Lecture Notes in Computer Science) by Francesco Almeida e Costa (Paperback - Oct 12, 2007 Witten, I. H. (2005). Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Morgan Kaufmann Publishers. Hasebrook J. P., Maurer H.A. (2004) Learning Support Systems for Organizational Learning, World Scientific Publishing Company, Inc. ISBN: Vennix J. A. M. (1996), Group model building: facilitating team learning using system dynamics, John Wiley & Sons Ltd. ISBN: Flick Uwe, Qualitative Research; Sage Publications, London, 2006 Myers, M. D. "Qualitative Research in Information Systems," MIS Quarterly (21:2), June 1997, pp MISQ Discovery, archival version, June 1997, MISQ Discovery, updated version, last modified: September 7, Cilji: V okviru predmeta slušatelji pridobijo pregled nad znanstvenimi pristopi na podroĉju raziskav in razvoja strateških informacijskih sistemov na podroĉjih: - globalnega e-poslovanja - metod raziskav informacijskih sistemov - skladišĉenja podatkov - metod razvoja informacijskih sistemov - sistemov sodobnih informacijskih tehnologij Objectives: In the framework of the addressed subjects, the students will gain the overview of the scientific approaches in the field of research and development of strategic informational systems. -Global ebusiness -Methods of informational systems research - Data warehousing - Methods of informational systems research Advanced information systems technologies

5 Predvideni študijski rezultati: Znanje in razumevanje: -Razumevanje sodobnih smernic razvoja na podroĉju globalnega e-poslovanja in strategij razvoja -Osvojitev znanstvenega pristopa k raziskavam in razvoju sodobnih informacijskih sistemov namenjenih strateškemu vodenju in uporavljanju kompleksnih medorganizacijskih, globalnih sistemov -Naprednih informacijskih tehnologij in orodij Prenesljive/kljuĉne spretnosti in drugi atributi: - Sposobnost organiziranja razvoja na podroĉju strateških informacijskih sistemov - Vodenje raziskovanja na podroĉju kompleksnih projekte razvoja programske opreme Intended learning outcomes: Knowledge and Understanding: - Understanding of contemporary strategic development in the field of global ebusiness - Knowledge of scientific approach to the research and development of modern systems for strategic management and control of complex inter-organizational, global systems - Knowlede of advanced information technologies and tools Transferable/Key Skills and other attributes: - Student is capable of organizing the development in the field of strategic information systems - Ability to manage research in the field of development of software for complex organizational systems Metode poučevanja in učenja: - Predavanje in aktivno sodelovanje slušateljev - Projekta naloga Learning and teaching methods: - Lectures and active cooperation of the students - Project work Načini ocenjevanja: Naĉin: ustno izpraševanje (40%) projekt (60%) Deleţ (v %) / Weight (in %) Assessment: Type (examination, oral, coursework, project): oral examination (40%) project presentation (60%)

6 Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences Predmet: Subject Title: UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Teorija odločanja in odločitveni sistemi Decision Theory and systems for decision support Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Sem. vaje Lab. vaje Teren. vaje Samost. delo ECTS Lectures Tutorial Labor work Field work Individ. Work Nosilec predmeta / Lecturer: zasl. prof. dr. Miroljub Kljajić Jeziki / S/A Predavanja / Lecture: Slovenski jezik / Slovenian language Languages: S/A Vaje / Tutorial: Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: - Organizacijske teorije in osnove managementa - Raĉunalništvo in informatika, Statistika Prerequisites: - Organizational theory and management foundations - Computer science and informatics Vsebina: Kibernetske osnove odloĉanja. Ĉlovek v procesu odloĉanja. Odloĉitveni modeli. Odloĉanje pri riziku. Vrednost informaciije. Bayesov odloĉitveni model. Odloĉanje pri negotovosti. Presoja pri negotovosti, Predstavitev informacij. Model neracionalnega obnašanja. Veĉkriterijsko odloĉanje. Teorija socialne izbire. Paretova optimalnost. Teorija mehkega odloĉanja. Sistemi podpore odloĉanju. Sistemi za podporo skupinskemu odloĉanju in delu. Izvedba eksperimentov s skupinami, primerjava razliĉnih metod. Podpora organizacijskemu uĉenju. Tehnologija kot podpora upravljanju znanja. Doseganje organizacijskih ciljev in prednosti. Content (Syllabus outline): Cybernetics approach to decision making. Human in decision process. Decision models. Decision under risk. Information value. Bayes decision rule. Decision under uncertainty. Judgment under uncertainty, Framing of information. Model of bounded rationality. Multi-objective decision making. Pareto optimality. Theory of fuzzy decisionmaking. Systems for decision assessment. Group decision support systems and group support systems. Conduct of the group experiments, comparisons of different methods. Organizational learning support. Technology as the knowledge management support. Achieving organizational goals and advantages.

7 Temeljna literatura in viri / Textbooks: M. H. Bayerman: Judgment in Managerial Decision Making. John Wiley & Sons,Inc H. G. Daellenbach: Systems and Decision Making, A Management Science Approach. John Wiley & Sons, Inc D. Jennings, S. Wattam: Decision making, An Integrated Approach. Pitman Publishing H. X. Li, V. C. Yen: Fuzzy Sets and Fuzzy Decision-Making. CRC Press G. E. LASKER, M. KLJAJIĆ, (eds.). Advances in support systems research: simulation-based decision support in enterprises and regional planning. Windsor (Ont.): International Institute for Advanced Studies in Systems Research and Cybernetics, Ching-Lai H., Ming-Jeng L. (1987), Group decision making under multiple criteria: methods and applications. Berlin. Springer-Verlag. ISBN: Cilji: Seznaniti slušatelje z osnovami teorije odločanja in njenem pomenu v procesu reševanja kompleksnih problemov. Prikazati razliko med normativno teorijo odločanja, ki temelji na racionalni teoriji dejstev in deskriptivno teorijo odločanja, ki obravnava subjektivne behavioristične vidike. Pokazati vlogo informacijskih sistemov in sistemov za podporo odločanju pri iskanju celovite poslovne odločitve. V okviru predmeta bodo obravnava osnovna tehnološka kakor tudi teoretiĉna izhodišĉa odloĉanja in dela v skupini, ki predstavlja enega izmed osnovnih gradnikov organizacijskih sistemov. Predvideni študijski rezultati: Znanje in razumevanje: Osvojiti znanje in razumevanje formulacije odloĉitvenega problema ter izbor metode za njegovo rešitev. Razumeti tveganje pri odloĉanju. Spoznati pomembnost predstavitve problema in omejene racionalnosti odloĉevalca.razumevanje uporabe sistemov za podporo odloĉanju. Znanje uporabe sodobnih optimizacijskih metod v povezavi s simulacijskimi modeli pri poveĉanju uĉinkovitosti organizacije. Prenesljive/kljuĉne spretnosti in drugi atributi: Obvladati tehniko doloĉanja alternative in stanja okolja. Formiranje kriterijske funkcije in izbor rešitev. Obvladovanje metod skupinskega odloĉanja pri reševanju veĉkriteriskih problemov. analiza pridobljenih rezultatov in uporaba sistemov za podporo skupinskemu odloĉanju Objectives: Presentation of the decision theory foundations and it s role in the process of complex problems solutions. Address the difference between the normative theory of decision making, which is based on the rational theory of facts and descriptive theory of decision making which addresses the subjective behavioral aspects. Emphasize the role of information systems and decision support systems in the process of complete business solution determination. Technological as well as the theoretical foundations of the group decision making and cooperative work as the basic component of the organizational systems will be provided in the frame of the subject. Intended learning outcomes: Knowledge and Understanding: Formulation of the decision problem and selection of the method for it s solution. Understanding of risk at the decision making process. Learn about the importance of problem presentation and bounded rationality of the decision maker. Understanding of utility of application of systems for decision assessment. Theoretical foundations of modern optimization methods related to the simulation systems. group decision processes and cooperative work Transferable/Key Skills and other attributes: Techniques of alternative determination and environment state. Formulation of criteria function and solution selection. Application of the methods of group decision making at the solving of multicriteria problems. analysis of gained results and application of group decision support systems

8 Metode poučevanja in učenja: - interaktivna predavanja (z intenzivnim sodelovanjem slušateljev) - delo v raĉunalniških laboratorijih - skupinske diskusije - izdelava seminarske naloge in zagovor Learning and teaching methods: - interactive lectures (with intensive participation of the students) - work in the computer laboratories - group discussions - Case report of selected topics and its examination. Obveznosti študenta - predavanje - študentski projekti predstavitev rezultatov Student obligations - lectures - students projects - presentation of results Načini ocenjevanja: Naĉin: ustno izpraševanje predstavitev projekta Deleţ (v %) / Weight (in %) 30 % 70 % Assessment: Type (examination, oral, coursework, project): oral examination 30% project presentation 70%

9 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Inovativne e-storitve Innovative eservices Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: zasl. prof. dr. Joţe Griĉar Jeziki / Languages: Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: Znanja potrebna za razumevanje in aktivno sodelovanje pri predmetu. Prerequisits: Knowledge required for understanding and taking an active part in course. Vsebina: Priloţnosti e-storitev kot rezultatov in sproţilcev razvoja. Reševanje problemov in sistemski inţeniring. Vpliv obstojeĉih in prihajajoĉih informacijskih tehnologij na e-storitve. Odprta inovativnost (uvajanje, inštitucije, omreţja). Pogoji uspešnega uvajanja e-storitev (harmonizirana spodbudna pravna ureditev v ĉezmejnem okolju z upoštevanjem potreb, standardiziranje, javno oskrbovanje kot spodbujevalec potreb po inovativnih dobrinah, izboljševanje ravni javnih storitev, pospeševanje kulture inoviranja). Problematika razvijanja e-storitev. Problematika uvajanja e-storitev. Potencialni vpliv e-storitev na konkurenĉnosti (vidik organizacije, drţave, ĉezmejne e-regije). Potencialni vpliv e-storitev na ţivljenje posameznika (e-vkljuĉenost, e-sodelovanje, e-demokracija). Ţivi laboratoriji kot okolje razvijanja in uvajanja e- storitev Content (Syllabus outline): Opportunities for the eservices as the development results and triggers. Problem solving & systems engineering. Impact of current and upcoming information technologies on eservices. Open innovation (implementation, institutions, networks). Conditions of successful eservices implementation (harmonized favorable regulatory cross-border environment based on early anticipation of needs; use of standards-setting powers, public procurement driving a demand for innovative goods, improvement of public services level; fostering a cultural shift towards innovation). eservices development issues. eservices implementation issues. Potential impact of eservices on competitiveness (organization, nation, and cross-border region perspective). Potential impact of eservices on individuals life (einclusion, eparticipation, edemocracy). Living Labs as the eservices development and implementation environment.

10 Temeljni literatura in viri / Textbooks: Chesbrough, Henry; Vanhaverbeke, Wim; West, Joel (editors) (2006): Open Innovation: Researching a New Paradigm. Oxford University Press. Fratianni, M. (editor) (2006): Regional Economic Integration, Research in Global Strategic Management, Elsevier. Kautonen, M. (2006): The Regional Innovation System Bottom-up: A Finnish Perspective, Tampere University Press. Kotinurmi, Paavo (2007): E-Business Framework Enabled B2B Integration. Doctoral dissertation. Helsinki University of Technology. Porter, M. E. (1998): The competitive advantage of nations. London: MacMillan, Wessner, C. W. (editor) (2003): Government Industry Partnership for the Development of New Technologies. Washington DC, The National Academies Press, Ĉlanki: Griĉar, Joţe (2007) Innovative Cross-border eregion Development: Possible Directions and Impact. eregion Development, Thematic Issue of the Journal Organizacija 40(2007)2, pp 87-96, Griĉar, Joţe; Tan, Yao-Hua; Vogel, Doug; Wigand, Rolf T.: Preface to the Focus Theme Section (2007): 'eregion Emergence and Impact'. Electronic Markets, Volume 17, Issue 4, November 2007, pages Poroĉila: Aho, E., chair (2006) Creating an Innovative Europe. Report of the Independent Expert Group on R&D and Innovation, appointed following the Hampton Court Summit. Luxembourg: Office for Official Publications of the European Communities, January 2006, available from: Putting knowledge into practice: A broad-based innovation strategy for the EU. Communication from the Commission to the Council, the European Parliament, the European Economic and Social Committee and the Committee of the Regions. COM (2006) 502 final. Commission of the European Communities, Brussels, , available from: %20original.doc). Cornwell, D, & Salmelin, B. (editors) (2006). Collaboration@Work Report European Commission, Information Society and Media Directorate General, New Working Environments Unit, available from: ec.europa.eu/information_society/newsroom/cf/newsbytheme.cfm?displaytype=news&tpa_id=101. The Helsinki Manifesto : We have to move fast, before it is too late, Working documents. Open Innovation Strategy Group. ICT addressing Societal Challenges, Information Society and Media Directorate-General, European Commission. European Network of Living Labs ENoLL, Innovation for Life Quality - Slovenia Living Lab, Cilji: o Ustvarjanje okolja ţivih laboratorijev za raziskovanje, razvijanje in eksperimentiranje inovativnih e-storitev. o Okrepiti dolgoroĉno usmerjeno e- sodelovanje z najrazvitejšimi drţavami s spodbujanjem eksperimentiranja v ţivih laboratorijih. o Usmerjanje raziskovalno-razvojnega potenciala slušateljev v zamišljanje najpomembnejših celostnih predlogov projektov e- storitev. o Z usmerjanimi poskusnimi rešitvami pridobiti praktiĉno uporabne rezultate, ki bodo omogoĉali ustvarjanje dodatnih in novih poslov z veliko stopnjo dodane vrednosti ter dobro ţivljenje. Predvideni študijski rezultati: Objectives: o Creation of the Living Labs environment for research and development of, and experimenting with innovative eservices. o Improving long-term oriented ecollaboration with the most developed countries by encouraging for experimenting in the Living Labs. o Focusing of the research & development potential of the students for delivering holistic eservices projects proposals. o Gaining practically useful, high added-value solutions through experimenting allowing for additional and new businesses and good life. Intended learning outcomes:

11 S tem predmetom bo slušatelj usposobljen, da prouĉuje, analizira in naĉrtuje priloţnosti za pospešeno uvajanje e-storitev. Seznanjen bo s priloţnostmi, ki jih omogoĉa priloţnosti izrabljanja ţivih laboratorijev kot zamisli in organizacijskega mehanizma. Pridobljene bodo izkušnje izzivov ĉezmejnega sodelovanja. After completing the course, a student will be able to study, analyze and plan opportunities for an accelerated eservices development. She, or he will be familiar with the opportunities provided by the Ling Labs concept and organizational mechanism to exploit new way of research, development and usage to work cooperate in problem solving and solutions development. Challenges in cross-border ecollaboration will be experienced. Metode poučevanja in učenja: 1. Predstavitev in analiza primerov dobre prakse. 2. Samostojno delo slušatelja pri zamišljanju in predlaganju uresniĉljivih e-storitev. 3. Samostojno pripravljanje predlogov rešitev s skupinsko razpravo. 4. Sodelovanje v ţivem laboratoriju. 5. Mednarodno e-povezovanje ţivih laboratorijev. Learning and teaching methods: 1. Good practices presentation and analysis. 2. Individual work of a student visualizing and proposing feasible eservices. 3. Individual students projects development with a group discussion. 4. Participation in a Living Lab. 5. International ecollaboration of the Living Labs. Načini ocenjevanja: Naĉin (pisni izpit, ustno izpraševanje, naloge, projekt) Udeleţba na predavanjih & sodelovanje na seminarju). Deleţ (v %) / Weight (in %) 20 Assessment: Type (examination, oral, coursework, project): Class participation & seminar discussion. Projekt & predstavitev rezultatov. 50 Project & presentation Zasnova prototipne rešitve. 30 Prototype design.

12 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Odkrivanje znanja v podatkih Knowledge Discovery From Data Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: zasl. prof. dr. Vladislav Rajkoviĉ Jeziki / Languages: Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Slovenski jezik / Slovenian language Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: Znanja o teorija sistemov, znanja s podroĉja teorije organizacije in statistike Prerequisites: Knowledge of systems theory, organizational theory and statistics Vsebina: - Odkrivanje znanja iz podatkov (OZP) kot metodologija znanstveno-raziskovalnega dela - Proces OZP - Podatkovno rudarjenje, statistika in vizualizacija podatkov - Metode OZP: odloĉitvena drevesa, nevronske mreţe, indukcijska pravila, razvršĉanje v skupine, genetski algoritmi, podatkovno skladišĉenje - Sistemi in orodja za OZP (npr.: Orange, Weka, IBM DB2 Intelligent Miner) - Študije primerov praktiĉne uporabe OZP Content (Syllabus outline): - Knowledge discovery from data (KDD) as a scientific and research methodology - KDD process - Data mining, statistics and data visualization - KDD methods: Decision Trees, Neural Networks, Rule Induction, Clustering, Genetic Algorithms, Data Warehouse - Systems and tools for KDD (e.g. Orange, Weka, IBM DB2 Intelligent Miner) - Case studies of KDD use

13 Temeljna literatura in viri / Textbooks: Witten, I. H. (2005). Data Mining: Practical Machine Learning Tools and Techniques, Second Edition. Morgan Kaufmann Publishers. Han, J., Kamber, M. (2001). Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers. Kononenko, I. (2005). Strojno uĉenje, druga izdaja. Zaloţba FE in FRI, Ljubljana. Mladenić D., Lavraĉ, N., Bohanec, M., Moyle, S. (eds.) (2003). Data Mining and Decision Support: Integration and Collaboration. Kluwer Academic Publishers, London. KDnuggets News, Data Mining & Knowledge Discovery: on-line resources. [URL: Cilji: Slušatelji spoznajo odkrivanje znanja iz podatkov kot metodologijo znanstveno-raziskovalnega dela. Objectives: Students become familiar with knowledge discovery from data as a scientific and research methodology. Predvideni študijski rezultati: Znanje in razumevanje: Slušatelji razumejo in znajo uporabljati metode in tehnike odkrivanja znanja iz podatkov pri svojem znanstveno-raziskovalnem delu. Spoznajo moĉ in nemoĉ teh metod ter orodij za njihovo raĉunalniško implementacijo. Poseben poudarek je na znanjih, ki so potrebna za interpretacijo rezultatov. Prenesljive/ključne spretnosti in drugi atributi: - Sposobnost priprave podatkov za OZP - Razumevanje mesta in vloge OZP - Zmoţnost uporabe in razumevanja metod, orodij in tehnik OZP Intended learning outcomes: Knowledge and Understanding: Students are able to understand and use knowledge discovery from data in their scientific and research work. They get to know strengths and weaknesses of KDD methods, techniques and their computer implementations. Special emphasis is on the interpretation of results. Transferable/Key Skills and other attributes: - Ability to prepare data for KDD - Understanding the role of KDD - Ability to apply and understand methods, tools and techniques of KDD Metode poučevanja in učenja: 1. Kljuĉna metoda pouĉevanja je samostojno delo slušateljev pri OZP 2. Predavanja bodo podprta s predstavitvijo metod, orodij in tehnik OZP 3. Izvedba laboratorijskih vaj. Learning and teaching methods: 1. Key learning method is individual work of the students in KDD 2. Lectures will be supported by the presentation of methods, tools and techniques of KDD 3. Laboratory exercises Načini ocenjevanja: Naĉin (pisni izpit, ustno izpraševanje, naloge, projekt) - Kandidati samostojno rešujejo praktiĉne naloge OZP - Aktivnost pri diskusiji ob naslavljanju aktualne problematike - Pisni izpit - Ustni izpit Deleţ (v %) / Weight (in %) Assessment: Type (examination, oral, coursework, project): - Individual problem solving in KDD - Discussion activity in addressing the actual issues - Written exam - Oral exam

14 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Inţeniring programske opreme Software engineering Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: izr. prof. dr. Leskovar Robert Jeziki / Languages: S/E Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Pogoji za vključitev v delo oz. za opravljanje Prerequisits: študijskih obveznosti: - izkušnje z enim programskim jezikom - experiences with programming language Vsebina: Proces razvoja programske opreme Študija izvedljivosti Management izvorne kode Management projekta Arhitektura sistema Pravni vidiki razvoja programske opreme Inţeniring zahtev Oblikovanje Uporabnost Zanesljivost in zmogljivost Uvajanje rešitve Content (Syllabus outline): The Process of Software Development Feasibility Studies Source Code Management Project Management System Architecture Legal Aspects of Software Development Requirements engineering Design Usability Reliability and Performance Deployment of the System

15 Temeljni literatura in viri / Textbooks: Sommerville, Ian, Software Engineering, 8th Edition. Addison-Wesley, Pfleeger, Shari Lawrence, Software Engineering Theory and Practice, second edition. Prentice- Hall Bernd Bruegge and Allen H. Dutoit, Object-Oriented Software Engineering Using UML, Patterns and Java, Second Edition. Prentice Hall, Mary Shaw and David Garlan, Software architecture: perspectives on an emerging discipline. Prentice Hall, E. Gamma, R. Helm, R. Johnson, and J. Vlissides, Design Patterns: Elements of Reusable Object- Oriented Software. Addison-Wesley, This is the standard book on design patterns. Cilji: - študent razume vse najpogosteje uporobljene metode razvoja programske opreme - študent izvede 4 projekte razvoja programske opreme v izbranem jeziku - študent zna voditi kompleksne projekte razvoja programske opreme - študent je seznanjen z znanstveno relevantnimi raziskavami na podroĉju inţeniringa programske opreme Predvideni študijski rezultati: Znanje in razumevanje: - pozna in razume najpogosteje uporabljene metide razvoja programske opreme - pozna znanstveno relevantne raziskave na podroĉju inćţeniringa programske opreme Prenesljive/kljuĉne spretnosti in drugi atributi: - zna voditi kompleksne projekte razvoja programske opreme Objectives: - student understand the most is used methods in software development - student performs 4 projects of software development - student is capable of managing complex projects of software development - student is acquainted with scientific related researches in the field of software engineering Intended learning outcomes: Knowledge and Understanding: - knows and understands the most used methods in software development - knows scientific related researches in the field of software engineering Transferable/Key Skills and other attributes: - student is capable of management of complex projects in software development Metode poučevanja in učenja: - predavanje - študentski projekti (4) - predstavitev rezultatov Learning and teaching methods: - lectures - students projects (4 - presentation of results) Načini ocenjevanja: Naĉin: ustno izpraševanje (20%) projekt (80%) Deleţ (v %) / Weight (in %) Assessment: Type (examination, oral, coursework, project): oral examination (20%) project presentation (80)

16 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Sistemska dinamika in razvoj strategij System Dynamics and Development of Strategies Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: doc. dr. Andrej Škraba Jeziki / Languages: Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Slovenski jezik / Slovenian language Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: Dobro poznavanje kvantitativnih metod, optimizacijskih metod, modeliranja in simulacije sistemov, teorije sistemov ter teorije organizacije. Prerequisites: Good understanding of quantitative methods, optimization methods, modeling and simulation techniques, systems theory and organizational theories. Vsebina: - Kompleksni sistemi, globalizacija in principi sistemske dinamike pri reševanju kompleksnih problemskih stanj - Generiĉne strukture kompleksnih sistemov - Strukturne molekule - Robustnost simulacijskih modelov in»test realnosti«- Optimizacija in kalibracija - Makroekonomska vprašanja / vprašanja planeta - Kapaciteta okolja, dileme kapitala - Omejitev naravnih virov - Trajnostni razvoj: organizacija / drţava / regija / planet - Organizacijska evolucija - Oscilacije v kompleksnih sistemih - Koncept PID regulatorja v kompleksnih sistemih - Model»World Dynamics«- Validacija modelov - Uporaba modelov sistemske dinamike - Implementacija razvojnih strategij Content (Syllabus outline): - Complex systems, globalization and principles of system dynamics at the complex problem states solving - Generic structures of complex systems - Molecules of structure - Robustness of simulation models and reality check - Optimization and calibration - Macroeconomic issues / issues of the globe - Carrying capacity, dilemma of the capital - Limits of the natural resources - Sustainable development: organization / state / region / planet - Organizational evolution - Oscillations in complex systems - PID regulator concept in complex systems - World Dynamics model - Model validation - Application of system dynamics models - Implementation of development strategies

17 Temeljna literatura in viri / Textbooks: Warren K. (2008). Strategic Management Dynamics. John Wiley & Sons. Chicester, UK. Škraba A. (2008). Zvezna simulacija primeri sistemske dinamike. Zaloţba Moderna Organizacija. Bossel H. (2007). Systems and Models. Complexity, Dynamics, Evolution, Sustainability. Systems and Models. Complexity, Dynamics, Evolution, Sustainability. Books on Demand, Norderstedt. Sterman J., (2000). Business dynamics : systems thinking and modeling for a complex world, Boston (Mass.), Irwin :McGraw-Hill : McGraw-Hill Higher Education, cop. Kljajić, M., (1994). Teorija sistemov, Moderna organizacija. D. G. Luenberger (1979). Introduction to Dynamic Systems: Theory, Models, and Applications. John Wiley & Sons. Forrester, J.W. (1971). World Dynamics, Cambridge, Mass., Wright-Allen Press. Cilji: Cilj, naslovljen v okviru predmeta je da slušatelji spoznajo pomen sistemske dinamike pri reševanju kompleksnih problemskih stanj. Predmet obravnava modeliranje in simulacijo kompleksnih sistemov po principu sistemske dinamike, ki omogoĉa analizo kompleksnih problemskih stanj. Pri tem jedro predmeta temelji na kvantitativnem opisu kompleksnih sistemov s pomoĉjo sistemske dinamike, sistemskih arhetipov, strukturnih molekul ter obseţnejših konceptualnih struktur. Preuĉena bo moţnost uporabe modelov sistemske dinamike pri vodenju in upravljanju kompleksnih sistemov ter razvoju strategij. Pomemben poudarek predmeta je na sistemski teoriji. S pomoĉjo kvantitativnih modelov bodo analizirani kljuĉni koncepti reševanja in opredelitve aktualne svetovne problematike kot npr.: globalizacija trţišĉ, omejitev naravnih virov, trajnostni razvoj, makroekonomski vplivi na medorganizacijske sisteme, vpliv neustreznih in ustreznih politik na razvoj druţbenih sistemov. Obravnavana bo uporaba modelov sistemske dinamike pri oblikovanju uĉinkovitih poslovnih scenarijev in strategij ter razumevanju kompleksnih sistemov. Preuĉeni bodo sodobni koncepti vodenja in upravljanja kompleksnih sistemov ob upoštevanju klasiĉnih konceptov kontrolne teorije. Natanĉno bo opredeljen postopek modeliranja z definicijo problemskega stanja, spleta referenĉnih modusov, razvojem modela in validacijo ter implementacijo razvojnih strategij v realnih sistemih. Predvideni študijski rezultati: Znanje in razumevanje: Slušatelji bodo po absolvirani materiji predmeta znali uporabiti sistemske arhetipe in strukturne molekule pri razvoju modelov kompleksnih sistemov. Kot izhodišĉe bodo slušatelji razumeli koncept spleta referenĉnih modusov in dinamiĉne hipoteze. S pomoĉjo analize sistemskega odziva glede na kljuĉne povratne zanke v modelih in obĉutljivosti kljuĉnih parametrov ter segmentne analize modelov bodo znali definirati strategijo na podlagi razvitih modelov sistemske dinamike. Absolvirani bodo principi dokumentacije modelov in Objectives: Objective of the course is that the students identify the importance of the system dynamics methodology at the solving of complex problem states. The course addresses modeling and simulation of complex systems by the principles of system dynamics which enables the analysis of complex problem states. The core of the course is based upon the quantitative description of the complex systems by the means of system dynamics, system archetypes, molecules of structures and larger conceptual structures. Applicability of the system dynamics models for the control and management of complex systems and development of strategies will be addressed. Important emphasis will be put on the system theory. By the application of quantitative models the concepts of the problem solving and description of main world issues will be analyzed e.g. market globalization, limitation of natural resources, sustainable development, macroeconomic influences on the inter-organizational systems, and influences of un-proper politics on the development of social systems. Application of system dynamics models for understanding of complex systems and at the development of efficient business scenarios and strategies will be considered. Modern concepts of management and control of complex systems will be studied at the consideration of classical concepts of control theory. The modeling procedure will be determined by definition of problem state, fabric of reference modes, model development, validation and implementation of strategies in the real systems. Intended learning outcomes: Knowledge and Understanding: After completed course, the students will know how to apply system archetypes and molecules of structure at the development of complex systems models. As the ground knowledge the students will understand the concept of fabric of reference modes and dynamical hypothesis. By performing the analysis of system response with respect to key feedback loops in the models and the sensitivity of key parameters and partial analysis of the models, the students will know how to define the strategy on the basis of the developed systems dynamics

18 postopki prenosa modelov v realno okolje kakor tudi implementacija razvojnih strategij. models. Students will know how to properly document the models and how to promote the developed concepts and strategies. Prenesljive/kljuĉne spretnosti in drugi atributi: Pomembni atributi so sledeĉi: - Sposobnost modeliranja kompleksnih sistemov s kvantitativnimi metodami - Razumevanje povratnozanĉne odvisnosti med elementi kompleksnih sistemov - Zmoţnost uporabe in razumevanja kompleksnih generiĉnih modelov sistemske dinamike - Analiza sistemskega odziva - Izvedba parametrske obĉutljivosti modela - Segmentna analiza modela - Kvantitativna analiza in razvoj strategij Transferable/Key Skills and other attributes: Important attributes are the following: - Ability to model complex system by the application of the quantitative methods - Understanding of feedback dependence between the elements of complex systems - Ability for application and understanding of complex generic models of system dynamics - Analysis of system response - Parameter sensitivity performance - Segment analysis of the models - Quantitative analysis and development of strategies Metode poučevanja in učenja: 1. Kljuĉna metoda pouĉevanja je samostojno delo slušateljev pri preuĉevanju kompleksnih dinamiĉnih struktur. 2. Predavanja bodo podprta s predstavitvijo modelov ter pomembnih segmentov. 3. Samostojno delo bo vzpodbujeno z nalogami, ki jih slušatelji tedensko predloţijo. 4. Interakcija slušateljev pri naslavljanju aktualnih tem v okviru tedenskih nalog. 5. Izvedba laboratorijskih vaj. Načini ocenjevanja: Naĉin (pisni izpit, ustno izpraševanje, naloge, projekt) - 5 (pet) zastavljenih nalog, ki jih 30% kandidati samostojno rešujejo v okviru izvedbe predavanj t.j. sprotna aplikacija pridobljenih znanj - aktivnost pri diskusiji ob 15% naslavljanju aktualne problematike - pisni izpit 30% - ustni izpit 25% Deleţ (v %) / Weight (in %) Learning and teaching methods: 1. Key learning method is individual work of the students at the studying of complex dynamical structures. 2. Lectures will be supported by the presentation of the model and important segments. 3. Individual work will be supported by the assignments, which will be assigned on the weekly basis 4. Interaction of the students at the addressing of the important issues in the framework of weekly assignments 5. Laboratory exercises Assessment: Type (examination, oral, coursework, project): - 5 (five) posed assignments, which will be solved individually in the framework of the lectures i.e. continuous application of gained knowledge - Activity at the discussion addressing the actual issues - Written exam - Oral exam

19 Predmet: Subject Title: Univerza v Mariboru University of Maribor Fakulteta za organizacijske vede Faculty of Organizational Sciences UČNI NAČRT PREDMETA / SUBJECT SPECIFICATION Metode izgradnje informacijskih sistemov Information System Development: Methods and Techniques Študijski program Study programme Organizacija in management informacijskih sistemov Študijska smer Study field Letnik Year Univerzitetna koda predmeta / University subject code: Predavanja Lectures Sem. vaje Tutorial Lab. vaje Labor work Teren. vaje Field work Samost. delo Individ. work ECTS Nosilec predmeta / Lecturer: red. prof. dr. Joţe Zupanĉiĉ, doc. dr. Borur Werber Jeziki / Languages: Predavanja / Lecture: Slovenski jezik / Slovenian language Vaje / Tutorial: Slovenski jezik / Slovenian language Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti: Znanja potrebna za razumevanje in aktivno sodelovanje pri predmetu. Prerequisits: Knowledge required for understanding and taking an active part in course. Vsebina: 1. Pristopi k razvoju informacijskega sistema 2. Naloge in cilji sistemske analize 3. Opredelitev zahtev 4. Objektno orientiran pristop in strukturiran pristop k opredelitvi zahtev 5. Ocenjevanje alternativ pri zahtevah, okolju in vzpostavitvi 6. Tradicionalni pristop k naĉrtovanju 7. Objektno orientirani pristop k naĉrtovanju: uporaba Use Case metode 8. Oblikovanje podatkovnih baz 9. Oblikovanje uporabniških vmesnikov 10. Naĉrtovanje sistemskih vmesnikov, upravljanja in varnostnih vidikov 11. Vzpostavitev aplikacije (informacijskega sistema) 12. Trendi v razvoju informacijskih sistemov Content (Syllabus outline): 1. Approaches to System Development 2. Systems Analysis Tasks 3. Investigating System Requirements 4. Modeling System Requirements: the Traditional Approach and Object-Oriented Approach 5. Evaluating Alternatives for Requirements, Environment, and Implementation 6. The Traditional Approach to Design 7. The Object-Oriented Approach to Design: Use Case Realization 8. Designing Databases 9. Designing the User Interface 10. Designing System Interfaces, Controls, and Security 11. Making the System Operational 12. Current Trends in System Development

20 Temeljni literatura in viri / Textbooks: John W. Satzinger, Robert Jackson, Stephen D. Burd (2006).System Analysis and Design in a Changing World, Thompson Course Technology. Barbara C. Mcnurlin, Ralph H. Sprague (2006). Information Systems Management in Practice (7th edition), Prentice Hall. Joey F. George, Dinesh Batra, Joseph S. Valacich, Jeffrey A. Hoffer (2007). Object Oriented System Analysis and Design (2nd Edition), Prentice Hall Jeffrey A. Hoffer, Joey George, Joseph Valacich (2008, 2005). Modern System Analysis and Design (5th edition), Prentice Hall Aktualni ĉlanki iz novejših letnikov revij, ki pokrivajo podroĉje predmeta Aktualne študije primerov razvoja informacijskega sistema (objavljene v revijah in/ali komercialno dosegljive kot uĉno gradivo) Cilji: - Študent pridobi pregled nad procesi in metodami pri razvoju uporabniških rešitev in informacijskih sistemov - Študent na izbranem primeru spozna in uporabi metode raziskovanja in vrednotenja procesov in izdelkov pri razvoju informacijskih sistemov - Študent se seznani s sodobnimi trendi pri razvoju informacijskih sistemov Predvideni študijski rezultati: Znanje in razumevanje: Poznavanje poglavitnih metod in pristopov pri razvoju informacijskih sistemov Razumevanje metod in pristopov pri raziskovanju specifiĉnih vidikov razvoja informacijskih sistemov Objectives: - The student acquires an overview of processes and methods in information systems development - Student learns and applies (on a selected case) methods of research and evaluation of processes and products in information systems development - Student acquires an overview of current trends in information systems development Intended learning outcomes: Knowledge and Understanding: - Knowledge of major approaches and methods in information systems development - Understanding of approaches and methods in researching specific aspects of information systems development Prenesljive/ključne spretnosti in drugi atributi: Študent je: - Sposoben samostojno izvesti raziskavo specifiĉnega vidika razvoja informacijskega sistema in jo ustrezno predstaviti (kot poroĉilo in ustno) - Študent je sposoben izbrati in oceniti pristop in metodo razvoja informacijskega sistema Metode poučevanja in učenja: - Predavanje - samostojni študij - seminar - študentski projekt in predstavitev Transferable/Key Skills and other attributes: The student is: - Able to carry out and present an investigation of a specific aspect of information systems development independently - Able to select and evaluate the approach and methods in developing a specific information system Learning and teaching methods: - Lecture - Individual Work - - Student project and presentation Deleţ (v %) / Weight (in %)