Course Real-Time Rendering

Prof. Rhadamés Carmona, PhD

The goal of this course is to provide students with the theoretical and applied foundations for the design and analysis of efficient algorithms for problems involving geometric input and output. The course focuses on real-time problems in 2D- and 3D-graphics and visualization applications.

Through this course students learn to select, adapt and implement basic and advanced algorithms and data structures to solve concrete problems. Furthermore, they should be able to analyse the complexity of algorithms and data structures.

The accompanying lab classes provide students with the necessary skills to implement and test selected algorithms.

News

  • Written exam: February 20th, 10am - 12am, Audimax, Steubenstraße 6
    Enrollment: Sign up for the written exam through Bison.

Course Organization

Instructors

Prof. Dr. Rhadamés Carmona

Lecture Schedule

Wednesdays, 11:00 AM - 12:30 PM at Room 015, Bauhausstr. 11
Starts on October 16, 2019

Lab Class Schedule

Group A: Mondays, 9:15 AM - 10:45 AM at LiNT-Pool, Bauhausstr. 11
Group B: Tuesdays, 9:15 AM - 10:45 AM at LiNT-Pool, Bauhausstr. 11
Starts October 28 / 29, 2019

Target Audience

B.Sc. Medieninformatik (Wahlmodul)

M.Sc. Computer Science for Digital Media (Graphical and Interactive Systems, Electives)
M.Sc. Computer Science and Media (Interactive Information Systems, Electives)
M.Sc. Human-Computer Interaction (Electives)
M.Sc. Digital Engineering (Visualization and Data Science (VaDS), Electives)

ECTS

Lecture and Lab Class: 4.5 ECTS
Lecture, Lab Class and Final Project: 6 ECTS

Lecture Materials

The files are only accessible within the university network using a password provided during the first lecture. Adobe Acrobat Reader works well with protected files. Please do not redistribute the materials.

DateTopicDownload
16 October 2019Introductionpdf
16 October 2019Fundamentalspdf
6 November 2019Convex Hullspdf
13 November 2019Sweeppdf
20 November 2019Point Localizationpdf
27 November 2019DCELpdf
4 December 2019Range Searchpdf
18 December 2019Windows Searchpdf
08 January 2020Voronoipdf
15 January 2020Delaunaypdf
22 January 2020BSPpdf
29 January 2020Quad-Treepdf


    Lab Class Materials

    The files are only accessible within the university network. Please do not redistribute the materials.
    Please enroll to the lab class on moodle and submit your solutions there.
    The enrollment key will be announced in the lecture.

    DateTopicDownload
    28 October 2019Exercise 1pdf
    11 November 2019Exercise 2pdf
    1 December 2019Exercise 3pdf
    6 January 2020Exercise 4pdf
    20 January 2020Exercise 5pdf


      Grading

      The final exam will be a written exam covering all topics of the course.


      Requirements for admittance to the written exam:

      • 50% of the total amount of points in the lab assigments (exercises) have to be obtained.

      Requirements for final grading:

      • 50% of the total amount of points in the lab assignments have to be obtained.
      • 50% of the total amount of points of the written exam have to be obtained.

      The final grading will be weighted as follows:

      • Assignments: 50%
      • Written exam: 50%

      The following scheme is applied to convert percentages to grades:

      GradePercentage
      1.0>= 95.0
      1.1[93.5 - 95.0)
      1.2[92.0 - 93.5)
      1.3[90.5 - 92.0)
      1.4[89.0 - 90.5)
      1.5[87.5 - 89.0)
      1.6[86.0 - 87.5)
      1.7[84.5 - 86.0)
      1.8[83.0 - 84.5)
      1.9[81.5 - 83.0)
      2.0[80.0 - 81.5)
      2.1[78.5 - 80.0)
      2.2[77.0 - 78.5)
      2.3[75.5 - 77.0)
      2.4[74.0 - 75.5)
      2.5[72.5 - 74.0)
      [...]
      3.0[65.0 - 66.5)
      [...]
      4.0[50.0 - 51.5)
      5.0 (fail)[00.0 - 50.0)

      Final Project (optional)

      The final project of the course Real-time Rendering (graded separately and awarded additional 1.5 ECTS) requires the participants to apply the obtained theoretical and practical skills of the course “Real-time Rendering” in the design, implementation and presentation of an individual small research project. In particular, it is your task to select a problem, develop a solution, come up with an effective and efficient implementation and present your results in a concise talk. This is an invaluable opportunity to work on an interesting topic of your choice in the field of geometric algorithms.