DD2257 Visualization 7.5 credits
Visualisering
Second course in computer science and numerical analysis focusing on visualization of scientific measurements and computations.
Educational level
Second cycleAcademic level (A-D)
CSubject area
Mathematics
Grade scale
A, B, C, D, E, FX, F
Course offerings
Spring 13 THCIM for programme students
Periods
Spring 13 P4 (7.5 credits)
Application code
60206Start date
2013 week: 12End date
2013 week: 21Language of instruction
EnglishCampus
KTH CampusNumber of lectures
22 (preliminary)Number of exercises
Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationSchedule
Schedule (new window)Course responsible
Mario Romero <marior@kth.se>
Target group
Compulsary for THCIM-visualization but available for other programs.
Modular schedule in module B for lectures and module E for laboratory work
Part of programme
- Degree Progr. in Media Technology, year 4, Recommended
- Master (Two Years), Computer Science, year 1, CSCG, Conditionally Elective
- Master (Two Years), Computer simulation for Science and Engineering, year 1, Conditionally Elective
- Master (Two Years), Human-Computer Interaction, year 1, HCIC, Optional
- Master (Two Years), ICT Innovation, year 1, DMTE, Optional
- Master (Two Years), Machine Learning, year 1, MAIA, Conditionally Elective
- Master (Two Years), Machine Learning, year 1, MAIB, Conditionally Elective
- Master (Two Years), Mathematics, year 1, COMP, Optional
Spring 14 THCIM for programme students
Periods
Spring 14 P4 (7.5 credits)
Application code
60083Start date
2014 week: 13End date
2014 week: 23Language of instruction
EnglishCampus
KTH CampusNumber of lectures
22 (preliminary)Number of exercises
Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationCourse responsible
Mario Romero <marior@kth.se>
Target group
Compulsary for THCIM-visualization.
Searchable for students at Master of Science in Engineering who has 90 hp of which 50 hp from year 1 and for Master of Science.
Part of programme
- Master (Two Years), Applied and Computational Mathematics, year 1, Optional
- Master (Two Years), Computer Science, year 1, CSCG, Conditionally Elective
- Master (Two Years), Computer simulation for Science and Engineering, year 1, Conditionally Elective
- Master (Two Years), Human-Computer Interaction, year 1, HCIC, Conditionally Elective
- Master (Two Years), ICT Innovation, year 1, DMTE, Optional
- Master (Two Years), Machine Learning, year 1, MAIA, Conditionally Elective
- Master (Two Years), Machine Learning, year 1, MAIB, Conditionally Elective
Spring 14 visual14 for programme students
Periods
Spring 14 P4 (7.5 credits)
Application code
60292Start date
2014 week: 13End date
2014 week: 23Language of instruction
EnglishCampus
KTH CampusNumber of lectures
22 (preliminary)Number of exercises
Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationCourse responsible
Mario Romero <marior@kth.se>
Target group
Only for students at "Science without Borders"
Learning outcomes
The students should after the course be able to
- describe basic concepts in visualization
- describe basic methods for visualization of scalar data, vector data and volume data including time dependent data
- use a visualization system such as OpenDX for visualization of scalar data, vector data and volume data including time dependent data
- use a visualization system such as OpenDX for a practical problem.
Course main content
Perception. Fundamental elements of visualization. Techniques and algorithms for volume visualization. New forms of data presentation. Animation. Software tools. Applications, e.g. fluid visualization.
Eligibility
Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.
Prerequisites
The course DN1240 Numerical Methods, basic course II and one of the following: DH2323 Computer Graphics and DH2640 Graphics and Interaction Programming.
Literature
Meddelas senast 4 veckor före kursstart. The Visualization Toolkit An Object Oriented Approach to 3D Graphics, Will Schoeder, Ken Martin and Bill Lorensen, 4th Edition har använts föregående år.
Examination
- LAB1 - Laboratory Assignments, 3.5 credits, grade scale: P, F
- TEN1 - Examination, 4.0 credits, grade scale: A, B, C, D, E, FX, F
In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.
Offered by
CSC/Computer Science
Contact
Mario Romero, marior@kth.se
Examiner
Mario Romero <marior@kth.se>
Add-on studies
Please discuss with the instructor.
Version
Course plan valid from:
Spring 10.
Examination information valid from:
Autumn 07.
