Program Overview

University of Novi Sad

Faculty of Technical Sciences

The Faculty of Technical Sciences is a higher education institution that offers a wide range of academic programs in the field of technical sciences.

Departments

• Department of Energetics, Electronics, and Telecommunications
  • Chair of Electrical Measurements
  • Chair of Theoretical Electrical Engineering
  • Chair of Electrical Power Engineering and Applied Software Engineering
  • Chair of Electronics
  • Chair of Telecommunications and Signal Processing
  • Chair of Power Electronics and Converters
• Department of Mechanical Engineering and Machine Design
  • Chair of Machine Constructions, Transport Systems, and Logistics
  • Chair of Machine Elements, Theory of Machines and Mechanisms, and Agricultural Machinery
  • Chair of Motors and Vehicles
• Department of Architecture and Urban Planning
  • Chair of Architecture and Urban Planning
  • Chair of Theories and Interpretations of Space in Architecture and Urban Planning
  • Department of Art and Design
  • Chair of Art
  • Chair of Stage Design
• Department of Production Engineering
  • Chair of Metrology, Quality, Tools, and Environmental-Engineering Aspects
  • Chair of Material Shaping Technologies and Surface Engineering
  • Chair of Material Removal Processes
  • Chair of Materials and Joining Technologies
  • Chair of Machine Tools, Technological Processes, Flexible Manufacturing Systems, and Design Processes
• Department of Environmental Engineering and Occupational Safety
  • Chair of Biosystems Engineering
  • Chair of Environmental Engineering
• Department of General Disciplines in Engineering
  • Chair of Physics
  • Chair of Mathematics
  • Chair of Animation in Engineering
  • Chair of Social Sciences
• Department of Civil Engineering and Geodesy
  • Chair of Geotechnics and Transportation
  • Chair of Hydrotechnics
  • Chair of Structures
  • Chair of Geodesy
  • Chair of Organization and Technology of Construction
• Department of Technical Mechanics
  • Chair of Technical Mechanics
• Department of Computing and Automation
  • Department of Computer Techniques and Computer Communications
  • Chair of Computer Communications
  • Chair of Computer Techniques
  • Department of Automation, Geomatics, and System Management
  • Chair of Automatic Control
  • Chair of Systems, Signals, and Control
  • Department of Applied Computer Science and Informatics
  • Chair of Applied Computer Science
  • Chair of Informatics
• Department of Industrial Engineering and Management
  • Chair of Quality, Effectiveness, and Logistics
  • Chair of Mechatronics, Robotics, and Automation
  • Chair of Production Systems, Organization, and Management
  • Chair of Information-Communication Systems
• Department of Transportation
  • Chair of Technologies of Transport-Logistic Systems
  • Chair of Postal Transport and Communications
  • Chair of Road Transport Systems
  • Chair of Logistics and Intermodal Transport
• Department of Energy and Process Engineering
  • Chair of Thermal Engineering
  • Chair of Process Engineering
  • Chair of Fluid Mechanics and Hydropneumatic Systems
• Department of Graphic Engineering and Design
  • Chair of Graphic Engineering and Design

Accreditation

The faculty offers various accredited study programs, including:

• Master's academic studies in Artificial Intelligence and Machine Learning
• Other accredited programs

Study Programs

Cognitive Graphics in Medicine (22.EAI057)

Basic Information:

• Category: Professional-Applied
• Narrow Scientific Field: Applied Computer Science and Informatics
• ESPB: 6

Course Description:

The course introduces students to medical imaging and advanced algorithms and processes of computer graphics for effective presentation to medical practitioners. It identifies algorithms for image processing based on machine learning and algorithms for implementing artificial intelligence systems in medicine.

Learning Outcomes:

Students acquire knowledge and skills for accepting and processing medical data (primarily visual) and apply them independently in realizing software solutions based on machine learning. They are able to identify, select, and use artificial intelligence algorithms for generating graphic displays of high usability in many medical specialties.

Course Content:

• Characteristics, creation, and storage of medical images of different modalities
• Algorithms for medical image processing for efficient application in machine learning systems
• Algorithms for volumetric modeling
• Ensuring interactivity with the displayed medical object, labeling, and measurement
• Practical examples of graphic visualization of vascular systems, virtual endoscopy, cognitive displays, computer-supported surgery, medical simulation

Teaching Methods:

Active teaching through interactive lectures and practical exercises with independent work at home on practical problems. Students are required to complete a project.

Literature:

• Tomas Akenine-M闤ler, Eric Haines, Naty Hoffman: Real-Time Rendering (2018)
• F.P. Vidal F. Bello K.W. Brodlie N.W. John D. Gould R. Phillips N.J. Avis: Principles and Applications of Computer Graphics in Medicine (2006)
• Bernhard Preim, Charl P Botha: Visual Computing for Medicine: Theory, Algorithms, and Applications (2013)
• Luciana Porcher Nedel, Isabel Harb Manssour, Carla Maria Dal Sasso Freitas: Computer Graphics & medicine (1999)
• Rea, Paul M. (Ed.): Biomedical Visualisation (2019)

Assessment:

• Oral part of the exam: 15 points
• Homework: 20 points
• Project: 50 points
• Presentation and final defense of the project: 15 points

Teachers:

• Prof. Dr. Dragan Ivetic, Full Professor
• Doc. Dr. Veljko Petrovic, Associate Professor
• Assistant Vasilije Bursac, Assistant
• Assistant Nenad Gligorov, Assistant