Conceptual Modeling
- Credits: 8
- Ending: Examination
- Range: 16sP
- Semester: winter
- Faculty of Economic Informatics
Teachers
Included in study programs
Teaching results
In particular, students acquire the following abilities:
The aim of the course is to provide basic theoretical knowledge and practical competencies for building the knowledge base of modeling techniques and the development of skills in mapping real events and structures that form the subject of scientific research. Further development of the ability to analyze and present ideological solutions to the researched issues at the conceptual level.
The domain areas for the application of acquired knowledge and skills is the area of the corporate agenda in both components, i. both structural and procedural..
Students acquire in particular the following skills:
The student will:
a) understand the principles of creating conceptual models,
b) know the methodology and relevant tools for analyze of problems and proposed solutions using conceptual modeling techniques
Students will acquire the following competencies:
(a) design of conceptual models describing the investigated structures, phenomena or proposed solutions from pre-defined relevant perspectives so that they can serve for the purposes of subsequent analysis or presentation of the proposed solutions;
(b) apply different methods using existing methodologies and conceptual models for the analysis of the systems examined;
c) be able to use tools for creating of conceptual models in practice
Indicative content
Introduction to terminology and theory of conceptual modeling;
2. The role and place of conceptual models in system analysis and problem solving;
3. Principles of model design;
4. Structure modeling and dynamics modeling, various purposes of modeling, global versus detailed view, static versus dynamic view of the modeled systems;
5. Standards for conceptual modeling;
6. Business modeling;
7. Methodologies of conceptual modeling and analysis;
8. Conceptual modeling tools;
9. The most common mistakes of conceptual modeling.
Support literature
1. Dimitris Karagiannis, Heinrich C. Mayr, John Mylopoulos (eds.), Domain-Specific Conceptual Modeling: Concepts, Methods and Tools, Springer, 2016.
2. D.W. Embley and B. Thalheim (eds.), The Handbook of Conceptual Modeling: Theory, Practice, and Research Challenges, Springer, 2011.
3. A. Olivé, Conceptual Modeling of Information Systems, Springer, 2007.
4. O. Pastor and J.C. Molina, Model-Driven Architecture in Practice: A Software Production Environment Based on Conceptual Modeling, Springer, 2007.
5. B. Thalheim, Entity-Relationship Modeling: Foundations of Database Technology, Springer, 2000.
6. M.P. Papazoglou, S. Spaccapietra, and Z. Tari (eds.), Advances in Object-Oriented Data Modeling, The MIT Press, 2000.
7. P.P. Chen, J. Akoka, H. Kangassalo, B. Thalheim, Conceptual Modeling: Current Issues and Future Directions, Springer, 1999.
8. D.W. Embley, B.D. Kurtz, and S.N. Woodfield, Object-Oriented Systems Analysis: A Model-Driven Approach, Prentice Hall, 1992.
9. C. Batini, S. Ceri, S.B. Navathe, Conceptual Database Design: An Entity-Relationship Approach, Addison Wesley, 1991.
10. M.L. Brodie, J. Mylopoulos, J.W. Schmidt (eds.), On Conceptual Modelling: Perspectives from Artificial Intelligence, Databases, and Programming Languages, Springer, 1984.
Additional study literature:
"Conceptual Modeling - 40th International Conference, ER 2021, Virtual Event, October 18-21, 2021, Proceedings," A. K. Ghose, J. Horkoff, V. E. S. Souza, J. Parsons, and J. Evermann, Eds., 2021, vol. 13011: Springer, in Lecture Notes in Computer Science, doi: 10.1007/978-3-030-89022-3. [Online]. Available: https://doi.org/10.1007/978-3-030-89022-3
"Conceptual Modeling - 39th International Conference, ER 2020, Vienna, Austria, November 3-6, 2020, Proceedings," G. Dobbie, U. Frank, G. Kappel, S. W. Liddle, and H. C. Mayr, Eds., 2020, vol. 12400: Springer, in Lecture Notes in Computer Science, doi: 10.1007/978-3-030-62522-1. [Online]. Available: https://doi.org/10.1007/978-3-030-62522-1
Requirements to complete the course
40 % assignments – individual project
60 % final exam
Student workload
8 credits x 26 hours = 208 hours
Distribution of study load
Lectures and seminar participation: 16 hours
Preparation for seminars: 16 hours
Written assignments: 76 hours
Final exam preparation: 100 hours
Language whose command is required to complete the course
Slovak
Date of approval: 10.02.2023
Date of the latest change: 17.05.2022