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Information Search and Retrieval
Number 706.048, Lecture/Practical
2 Lecture/1 Exercise hour(s) per week
Working Language: English

Lecturer: Univ.-Doz. Dr.techn. Christian Gütl
Assistant: DI Johanna Pirker
Student Assistant: Stefan Kaser

Course Description for the Study Year 2015

Course Content

As selected subject of information systems, Information Search and Retrieval (ISR) focusses on the following topics:

  • Introduction into ISR
  • ISR methods and performance evaluation
  • Text processing and indexing
  • Advanced Methods (NLP, AI)
  • Multimedia IR
  • Web search

Course Schedule

Lectures take place in a face to face setting with integrated exercises in small groups. The lectures are scheduled for selected Wednesdays and Fridays from 10 am till 1 pm during the winter semester. Because of the integrated exercises and continuous performance evaluation, physical presence is obligatory. Students may make sure to be able to attend all lectures for successfully completing the course. Please refer to the hyperlinks below for the detailed schedule of the course:

--> TUG calendar schedule information
--> Online course schedule information

Pedagogical Approach

The course is designed combining teacher's presentations and exercises and small problems to be solved by small students' groups in the face-to-face setting, complemented by more complex exercises deepening the knowledge and reflection phases after classes as well as by bonus exercises and tasks. Students are able to collect points during classes and also after classes, and even can re-submit their assignments to improve the number of collected points and thus the final grade.

Previous knowledge expected

Advisable pre-knowledge for mastering the course: mathematical skills (applying Boolean, algebraic and probabilistic methods), programming skills in JAVA, English skills (working language).

Expected outcome

After successful completion of the course, the students are able to explain and to apply the following concepts: (1) basic model of modern information retrieval, (2) the processing chain from text documents to the search index, (3) performance characteristics, (4) the architecture of Web search services, and (5) conducting literature surveys of selected topics in the area of information retrieval.

Assessment and Grading

Assessment and feedback is based on the in-class assignments and after-class assignments by earning points. There is also room for bonus points and further improving the final grade.

The final grade is composed of the following parts:

  • 75 % contributions in class and after class related to the lecturers
  • 20 % survey paper and group presentation (literature survey on selective topics)
  • 15 % bonus tasks (selective tasks)
  • Oral exam (only in case of issues)

Please note: each lecture and the survey paper must be positively completed to pass the course!

Grading schema (percentage of total number of points):

  • 0% - 50% E (5, nicht genügend)
  • 51% - 65% D (4, genügend)
  • 66% - 79 % C (3, befriedigend)
  • 80% - 90 % B (2, gut)
  • 91% - 110% A (1, sehr gut)

Course Enrolment

The number of seats is restricted to 30. The ranking takes into account the time of enrolment in the TUG online system as well as the status of the students enrolled the master program. Students not enrolled in the master program can only get a seat if all enrolled master students have assigned seats. Please note: the final assignment of the 30 seats as well as the group formation will take place in the introductory lecture; thus it is advisable for all students to show up even listed on the waiting list.

Contact Information and Consultation Hours

Univ.-Doz. Dipl.-Ing. Dr.techn. Christian Gütl
Institute for Information Systeme and Computer Media
8010 Graz, Inffeldgasse 16c
1. Floor, Room ID01110
Phone: ++43 (0) 316 873 5604
E-Mail: Christian.Guetl<at>iicm.tu-graz.ac.at
Web: http://www.iicm.edu/guetl

The options for oral consultation are:

  • Before, during breaks and after the in-class activities
  • Request for a private consultation hour (send an email)

Online Resources and Background Information

--> Presentation Slides of the Introductory Lecture
--> Survey paper assignment
--> Group Assignment (current and previous years)

author: Christian Gütl
email: Christian.Guetl<at>iicm.tu-graz.ac.at
last update: 2015-09-03