Faculty of Technical Sciences

Subject: Intelligent enterprising and effective management (17.IM2101)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Production Systems, Organization and Management
General information:
 
Category Theoretical-methodological
Scientific or art field Proizvodni i uslužni sistemi, organizacija i menadžment
Interdisciplinary No
ECTS 5
Educational goal:

The goal of this course is to acquire basic knowledge about the intelligent enterprises and effective management, factors and bases for the development of business intelligence systems, as well as the application of knowledge, skills and experience to improve the process of problem solving and decision making on the basis of structured and unstructured data from all parts of the business systems.

Educational outcome:

Students will be able to fully understand the importance and role of knowledge, experience and skills in decision-making at all levels of the business system, to apply the procedures of intelligent business in solving practical problems, the ability to improve the acceptance of new knowledge and the possibility of their use in order to adapt to new changes in the environment and the company.

Course content:

The concept of intelligent enterprise. The concept of effective management. A review of the changes in the process work development. The expected changes in the work processes and the economy - predictions. Economy - the basic technology of society. The main driving lever in the development of intelligent business process. Complexity, flexibility and business process management. The basic approach in the development process of the economy. Modern approaches in the development process of the economy. The main factors of effective intelligent business process development. Management for intelligent business processes. Business intelligence tools and applications to achieve the intelligent economy. Look into the future.

Teaching methods:

Lectures with examples of global standards in the development of intelligent business. Laboratory exercises. Analyses of examples for intelligent economy, development of practical examples and a essay related to solving practical problems.

Literature:
Authors Title Year Publisher Language
Leibowitz, J. Strategic Intelligence 2006 Taylor & Francis English
Thanuhuber, M.J. The Intelligent Enterprise 2005 Phisica-Verlag Heidelberg English
Sharda, R., Delen, D., Turban, E. Business Intelligence, Analytics and Data Science - A Managed Perspective 2017 Pearson, New York English
Rodenberg, R.M Competitive Intelligence 2007 Eburon English
Zelenović, D. Inteligentno privređivanje : osnovna tehnologija ozbiljnog društva 2011 Prometej, Novi Sad Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Exercise attendance Yes Yes 5.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Term paper Yes Yes 20.00
Theoretical part of the exam No Yes 50.00
Lecture attendance Yes Yes 5.00
Lecturers:
API Image

vanr. prof. dr Tasić Nemanja

Associate Professor

Lectures
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doc. dr Vidicki Predrag

Assistant Professor

Practical classes

doc. dr Ferenčak Miroslav

Assistant Professor

Computational classes

Asistent Graić Igor

Assistant - Master

Computational classes

doc. dr Tepić Goran

Assistant Professor

Practical classes

doc. dr Tepić Goran

Assistant Professor

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.