Information Search and Retrieval
Lecturer: Univ.-Doz. Dr.techn. Christian Gütl
Course Description for the Study Year 2015
As selected subject of information systems, Information Search and Retrieval (ISR) focusses on the following topics:
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:
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).
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:
Please note: each lecture and the survey paper must be positively completed to pass the course!
Grading schema (percentage of total number of points):
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
The options for oral consultation are:
Online Resources and Background Information
author: Christian Gütl
last update: 2015-09-03