Faculty of Technical Sciences

Subject: Interdisciplinary Scientific Visualization (17.IA017A)

General information:
 
Category Scientific-professional
Scientific or art field
  • Računarska grafika
  • Mašinski elementi, mehanizmi i inženjerske grafičke komunikacije
ECTS 4

Enabling students to creatively and practically use all ways, methods and techniques of visualization (video/movie, multimedia, internet, computer graphic and VR (virtual reality) in clarifying, solving and presenting different logical, scientific and engineering problems.

To use acquired knowledge in the further educational process as well as in the future professional work.

The concept, definitions and importance of visual perception and visual communications in comprehension, understanding and solving different abstract and specific problems. Identification of engineering and scientific problems. The problem of concepts and abstraction. Symbolic visual-graphical interpretation and concretization of abstraction; Introduction to object methodology and IML. Basic techniques of visualization: sketching, elements of constructive geometry, theory of sets and Boolean algebra, UML methodology; computer visualization and 3D modeling of abstract and specific engineering and scientific object, structures and problems; introduction to animation, basic and advanced modeling techniques, generation and simulation of motion; problems and methods of visual-graphic presentation; movie and animation: movie language, frame, lighting, editing; sound music and movie: sound effects, sound synthesis, music and narration with animation.

Lectures and Practice in the computer laboratory. Consultations.

Authors Title Year Publisher Language
Manuel Lima Visual Complexity: Mapping Patterns of Information (history of information and data visualization and guide to today's innovative applications) 2013 Princeton Architectural Press English
Tamara Munzner Visualization Analysis and Design 2014 A K Peters/CRC Press English
Manuel Lima The Book of Circles: Visualizing Spheres of Knowledge 2017 Princeton Architectural Press English
Course activity Pre-examination Obligations Number of points
Computer exercise attendance Yes Yes 5.00
Written part of the exam - tasks and theory No Yes 30.00
Lecture attendance Yes Yes 5.00
Project task Yes Yes 15.00
Project task Yes Yes 15.00
Project Yes Yes 30.00
API Image

Assoc. Prof. Krstanović Lidija

Associate Professor

Lectures

Assistant - Master Paunović Aleksa

Assistant - Master

Computational classes

Assistant - Master Varga Marija

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.