Course details

Visualization and CAD (in English)

VIZa Acad. year 2023/2024 Summer semester 5 credits

Overview of visualization and CAD (Computer Aided Design) systems. Specification of basic principles and functions of the systems for: work in 2D, work in 3D, precision aspects, 3D scenes modeling, preparation of scenes for visualization and scenes visualization. Methods of scenes visualization. Data exchange methods between CAD systems with a link to visualization. Data representation for CAD systems and visualization. Specification of user interfaces in CAD systems. Specification of basic principles of programming in CAD systems.

Guarantor

Course coordinator

Language of instruction

English

Completion

Classified Credit

Time span

  • 26 hrs lectures
  • 12 hrs pc labs
  • 14 hrs projects

Assessment points

  • 40 pts mid-term test
  • 60 pts projects

Department

Lecturer

Instructor

Learning objectives

Basic attribute of ECTS:
To provide overview of visualization and CAD (Computer Aided Design) systems. To introduce basic principles and functions of these systems, namely: work in 2D; work in 3D; precision aspects; 3D scenes modeling; preparation of scenes for visualization; scenes visualization. To get familiar with the phenomena of the data exchange between CAD systems with a link to visualization. To learn the basic principles of programming in CAD systems.
Subject specific knowledge and abilities:

  • Students will understand basic principles of visualization and CAD (Computer Aided Design) systems
  • He/she will get familiar with work in 2D CAD system
  • He/she will get familiar with work in 3D CAD system
  • He/she will learn modeling of 3D scenes 
  • He/she will learn to prepare 3D scenes for visualization
  • He/she will get familiar with visualization methods for scenes
  • He/she will get familiar with the phenomena of data exchange between CAD systems with a link to visualization
  • He/she will learn basic principles of programming in CAD systems

Why is the course taught

The use of visualization to communicate abstract or concrete ideas became a ubiquitous phenomenon. Users across various disciplines use computer techniques to model complex designs or to visualize events and scientific data. Computer-aided design (CAD) is due to its extensive use in automotive, aerospace, architectural and medical industry an economically important driver of research in computer graphics (software and hardware). CAD is also broadly used in movies and computer animations. 

Study literature

  • Farin, G.: Curves and Surfaces for CAGD, Academic Press, 2001, ISBN 978-1558607378
  • Ebert, D., S. et al.: Texturing and Modelling: A Procedural Approach, Morgan Kaufmann, 2002, 978-1558608481
  • Watt, A., Watt, M.: Advanced Animation and Rendering Techniques: Theory and Practice, Addison-Wesley, 1992, ISBN 0-201-54412-1
  • Moeller, T., Haines, E.: Real-time Rendering, AK Peters, 1999, ISBN 1-56881-101-2

Fundamental literature

  • Hughes, J.: Computer Graphics: Principles and Practice, Addison-Wesley Professional, 2013, 978-0321399526
  • Ware, C.: Visual Thinking: for Design, Morgan Kaufmann, 2010, ISBN 978-0123708960

Syllabus of lectures

  1. Introduction to visualization and CAD
  2. Basic principles and functions of CAD systems
  3. Data representation in CAD systems
  4. Types and applications of CAD systems
  5. Data sharing in CAD systems
  6. User interfaces of CAD systems
  7. Development in CAD systems
  8. Relation between CAD and visualization
  9. Specifics of scene visualization
  10. Scene representation in visualization
  11. Traditional visualization methods
  12. Rendering methods for visualization
  13. Future development of CAD and visualization systems

Syllabus of computer exercises

  1. Introduction to laboratories and used CAD system
  2. Basic 2D work
  3. Basic 3D work
  4. 3D scene modeling
  5. Preparation of visualization scene
  6. Scene visualization

Syllabus - others, projects and individual work of students

Individually assigned projects linked to computer classes.

Progress assessment

  • A mid-term exam evaluation (max. 40 pts).
  • Evaluation of individual project (max. 60 pts).


Exam prerequisites

For receiving the credit, students have to

  • participate actively on Laboratory exercises,
  • attend mid-term exam and achieve min. 15 points,
  • deliver on time and defense the individual project - min. 35 points.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Fri lecture 1., 2., 3., 4., 5., 6., 7., 9., 10., 11., 12., 13. of lectures E105 08:0009:5070 1EIT 1MIT 2EIT 2MIT INTE xx Chudý
Fri comp.lab 2., 4., 6., 9. of lectures N105 15:0016:5020 1EIT 1MIT 2EIT 2MIT INTE xx Milet
Fri comp.lab 10., 12., 13. of lectures N105 15:0016:5020 1EIT 1MIT 2EIT 2MIT INTE xx Chudý

Course inclusion in study plans

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