Notice: this page contains archived contend about past teaching activities. For the most recent information please select the pages for the current semester.
V2+U2
Lecture Time & Place: Wed. 12:00-14:00 c.t. LX 1205
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: tba
Exercise Supervisors: R. Rothaller & A. Krekhov
Course Language: German
Audience: Bachelor (Angewandte Informatik, Angewandte Kognitions- und Medienwissenschaften, International Studies in Engineering)
Zusammenfassung: Anhand der Programmiersprache Java werden grundlegende Programmiertechniken in einer objektorientierten, modernen Sprache besprochen. Inhalte im Einzelnen: - Einführung und grundlegende Struktur von Programmen - Lexikalische Elemente, Datentypen und Variablen, Ausdrüke und Anweisungen - Objektorientierte Programmierung: Klassen, Methoden, Vererbung, Interfaces, Abstrakte Klassen - Standard und Utilityklassen - Generische Datentypen & Anwendung von Standardtypen - Ausnahmebehandlung - Ein- und Ausgabe mittels Streams.
Studentische Videoprojekte zur Vorlesung (ohne Gewähr auf Korrektheit):
public class GPT
CAFEBABES
V3+U1
Lecture Time & Place: Mon. 10:00-13:00 c.t. LE 105
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: Mon. 13:00-14:00 c.t. LE 105
Exercise Supervisors: A. Schiewe & A. Waschk
Course Language: English
Audience: Master (Angewandte Informatik, Angewandte Kognitions- und Medienwissenschaften, International Studies in Engineering)
Abstract: This lecture is the introductory course to Computer Graphics. The course teaches the algorithms used to program a computer to generate images of a geometric models with associated appearance properties. Starting with introductory lectures on the basics of surfaces and light propagation the course will focus on the two well known rendering methods, CPU and GPU-based ray-tracing and GPU-accelerated raster graphics. Topics include:
Kick-off & Meeting Registration: October 12
Time & Place: Thu. 12:00-14:00 s.t. LF 125
Instructors: Prof. Dr. J. Krüger & team
Course Langugage: English or German
Audience: Bachelor & Master
Abstract:
In addition to the scientific content in this seminar we will put
special emphasis on the presentation. To improve the presentation skills
of the participants we will start the seminar with simpe topics,
record short talks from each participant, and analyze the presentation.
Students then give a seminar talk on their chosen topic.
Kick-off & Meeting Registration: October 13, 11:00 s.t., LE 334
Time & Place: Fri. 11:00 s.t. LE 334
Instructors: Prof. Dr. J. Krüger & team
Course Langugage: German
Audience: Bachelor
Abstract:
In this lab course the participants will learn to
gather data and design scientific visualisations
using this data. We will use an approach similar
to the award winning
Dear Data project
by Giorgia Lupi and Stefanie Posavec. Given a specific topic
each week, participants will have to track their
data and custom design a visual representation of
their data and present this representation in
front of the group at the end of the week. If you
are interesting in this lab course, please come to
the registration and kick-off-meeting.