Lecture Information Visualization

Lecturer: Prof. Dr. Andreas Butz
Tutorials: Bastian Pfleging
Hours per week: 2 (Lecture) + 2 (Tutorial)
ECTS credits: 6

Module:WP16: Computergrafik 3 (für Master Medieninformatik)

• News
• Dates and Locations
• Contents
• Lecture
• Tutorial
• More information
• Guidance in Programming
• Exam details
• Make-up exam details

News

• 16.01.2018 Please note that we will discuss exercise sheet 8 this week. The projekt presentations will take place next week. Also, we have extended the submission deadline for exercise 8.
• 18.12.2017 There will be no tutorial this week.
• 18.12.2017 There will be no tutorial this week.
• 29.11.2017 Hint: The results for the 2nd milestone shall be presented in the tutorial. Thus, your submission is ideally a PPT/PDF file that facilitates the presentation.
• 13.11.2017 New version of exercise 2 is online (URL updates).
• 08.11.2017 Due to the holidays last week there will be no tutorial sessions this week.
• 12.10.2017 The lecture starts on Tuesday, October 24, 2017; tutorials will start one week later.

Dates and Locations

• Lecture:
  Date: Tuesday, 10-12 a.m.
  Location: Schellingstr. 3 (S), S 004
• Tutorial:
  Dates:
  Group 01: Thursday 12-14 p.m., Location: Amalienstr. 73a, room: 220
  Group 02: Thursday 2-4 p.m., Location: Amalienstr. 73a, room: 220
  Group 04: Friday 10-12 a.m., Location: Amalienstr. 73a, room: 218
  Group 05: Friday 12-14 p.m., Location: Amalienstr. 73a, room: 218
  Please register via UniworX.
• Consultation hours:
  Date: Wednesday, 2 - 4 p.m. (only by appointment)
  Location: Amalienstr. 17, Room A506

Contents

The lecture introduces core aspects in information visualization. The focus will be on human visual perception, visualization of multivariate data, and interaction concepts for visualization systems. Based on these concepts, strategies will be introduced that allow graphs, networks, trees, text-based data and time-based data to be visualized. Furthermore, the lecture presents techniques to efficiently use limited display space.

The lecture course is suitable for:

• Students of media informatics (Medieninformatik) (Diplom, Master) and computer science (Informatik) (Diplom, Master) with prior knowledge in media informatics (Medieninformatik), Obligatory lecture for Master MCI

The lecture is targeted at master students. However, participation is also possible for bachelor students. Please be advised that credits can cannot be provided to bachelor students prior to enrollment for a master program.

Lecture

Date	Subject	Slides	Podcast
24.10.	Organization, Intro	iv-ws17-01-introduction.pdf	iv-ws17-01-introduction.m4v
07.11.	Perception	iv-ws17-02-perception.pdf	iv-ws17-02-perception.m4v
14.+21.+28.11.	Multidimensional InfoViz	iv-ws17-03-multidimensional.pdf	iv-ws17-03-multidimensional.m4v
05.+12.12.	Interaction with Visualization	iv-ws17-04-interaction.pdf	iv-ws17-04-interaction.m4v
12.12.	Graph Visualization	iv-ws17-05-graphs.pdf	iv-ws17-05-graphs.m4v
19.12.	Christmas lecture	no slides	no recording
09.01.	Tree Visualization	iv-ws17-06-hierarchies.pdf	iv-ws17-06-hierarchies.m4v
16.01.	Time-based Visualization	iv-ws17-07-time.pdf	iv-ws17-07-time.m4v
23.01.	Text and Documents	iv-ws17-08-text.pdf	iv-ws17-08-text.m4v
30.01.	Presentation	iv-ws17-09-presentation.pdf	iv-ws17-09-presentation.m4v
06.02.	Presentation (remaining slides) and final presentation of student projects	iv-ws17-09-presentation.pdf	iv-ws17-09-presentation.m4v

Tutorial

Please submit your solutions via UniworX.

Deadline	Tutorial Session	Topic of the Tutorial	Exercise	Slides
01.11.2017	02./03.11.2017	Exercise 1: Lie Factor, Chart Junk	PDF	Slides
15.11.2017	16./17.11.2017	Exercise 2: Group Project Part 1	PDF	Details about the projectSlides
22.11.2017	23./14.11.2017	Exercise 3	PDF	Slides, Slides: create maps
29.11.2017	30.11./01.12.2017	Exercise 4 (Group Project Part 2)	PDF	(no slides)
06.12.2017	07./08.12.2017	Exercise 5	PDF, Dataset (CSV)	Slides
13.12.2017	14./15.12.2017	Exercise 6 (Group Project Part 3)	PDF	(no slides)
17.01.2018	25.01.2018	Exercise 7 (Group Project Part 4)	PDF	(no slides)
18.01.2018	18.01.2018	Exercise 8	PDF
01.02.2018	01.02.2018	Exercise 9	PDF

More information

für die erfolgreiche Teilnahme an den Übungen (Abgabe der Übungsaufgaben) kann ein Bonus auf die Klausurnote in Höhe von maximal 10% der erreichbaren Klausurpunkte erreicht werden. Wer die Klausur bestanden, aber noch nicht die volle Punktzahl erzielt hat, kann die Klausurnote durch diesen Bonus verbessern. Der Bonus beeinflusst also nicht, ob man bestanden hat oder durchgefallen ist. Ein Bonus wird gewährt, wenn die Projektaufgaben erfolgreich bearbeitet und präsentiert wurden. Der Klausurbonus gilt nur für die Klausur und Nachholklausur zum aktuellen Semester. Der Bonus verfällt für alle späteren Wiederholungen.

Guidance in Programming

Guidance will take place in weeks without tutorials. Please make an appointment with the tutors or the teaching assistance.

Exam details

• Date: Tuesday, February 20, 2018, 14:00 (s.t.) - 16:00
• Deadline for registration: Friday, February 02, 2018
• Deadline for deregistration: Friday, February 09, 2018
• The registration is possible via Uniworx
• Rooms (lastname):
  • TBA: Geschwister-Scholl-Platz 1 (main building), M 218
  • TBA: Geschwister-Scholl-Platz 1 (main building), D 209
• Melden Sie sich nur zur Klausur an, wenn Sie auch wirklich teilnehmen werden! Sollten Sie sich nach Ihrer Anmeldung noch entscheiden, doch nicht teilzunehmen, melden Sie sich bitte rechtzeitig wieder via Uniworx ab, um die Folgen einer nicht angetretenen Prüfung zu vermeiden. Ohne rechtzeitige Anmeldung ist keine Teilnahme an der Klausur möglich. Denken Sie unbedingt daran, einen Lichtbildausweis zur Prüfung mitzubringen.
• Attention:
  • Closed book exam: lecture/exercise slides or other material is forbidden.
  • You cannot invalidate your exam!
  • Calculators are not permitted.
  • Language of the Exam: English. You may respond in German or English.
  • Mobile phones, laptops and any other communication technologies are strictly forbidden. Ideally, leave them at home.
  • Student id card required
  • Real (!!) identification document required (e.g. ID card or passport)
  • Bring a non-programmable calculator
  • Bring a ruler

Make-up exam details

Werden noch ergänzt.