Universität Wien
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052400 VU Information Management & Systems Engineering (2024W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle
Tu 21.01. 16:45-18:15 Hörsaal 1, Währinger Straße 29 1.UG
Hörsaal 3, Währinger Straße 29 3.OG
Seminarraum 11, Währinger Straße 29 2.OG

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.10. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 08.10. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 15.10. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 16.10. 16:45 - 18:15 Digital
  • Tuesday 22.10. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 29.10. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Wednesday 30.10. 16:45 - 18:15 Digital
  • Tuesday 05.11. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 12.11. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 19.11. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 26.11. 16:45 - 18:15 Audimax Zentrum für Translationswissenschaft, Gymnasiumstraße 50
    Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 03.12. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 10.12. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 17.12. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
    Seminarraum 5, Währinger Straße 29 1.UG
    Seminarraum 8, Währinger Straße 29 1.OG
  • Tuesday 07.01. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
  • Tuesday 14.01. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal 3, Währinger Straße 29 3.OG
    Seminarraum 3, Währinger Straße 29 1.UG
  • Tuesday 28.01. 16:45 - 18:15 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal 3, Währinger Straße 29 3.OG
    Seminarraum 3, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

This course provides theoretical and practical engineering approaches (concepts, methods, techniques, and tools) in data management, computing infrastructure, and fundamental security mechanisms to design, implement, and deploy high-quality web-based information systems.
The course covers the following topics:
- Data Engineering: Parallel and distributed database systems, object-relational and object-oriented DBMS, semi-structured modeling, NoSQL database systems.
- Computing Infrastructure: Principles of virtualization, container technology, cloud computing.
- Security Engineering: Basics on IT security services, encryption, certificates, security protocols.

The course is divided into two parts. Part A focuses on conceptual understanding, while Part B involves implementing an information system based on these concepts.

Assessment and permitted materials

In Part A, a maximum of 40 points can be earned, and in Part B, a maximum of 60 points.
The final grade is based on the sum of points from both parts (maximum total score = 100).
There are four assessments:
- Part A: Two written tests/exams on the conceptual content (no aids allowed), each worth 20 points.
- Part B: Information system (IS) specification focusing on relational and NoSQL DBMS, worth up to 30 points.
- Part B: IS development with a relational DBMS, including migration to NoSQL DBMS, worth up to 30 points.
Additionally, short quizzes (max. 10 minutes) at the beginning of some sessions allow for earning up to 12 bonus points. Up to two of these bonus points can be used to meet the minimum requirements.

Minimum requirements and assessment criteria

To pass the course, the following conditions must be met:
- At least 50% of the maximum points from the two tests in Part A.
- At least 50% of the maximum points from Part B.
- A mandatory final presentation with slides on the solutions for Part B.

The final grade is based on the total points earned (including bonus points) according to the following scale:
- 89% <= P <= 100%: Excellent (1)
- 76% <= P < 89%: Good (2)
- 63% <= P < 76%: Satisfactory (3)
- 50% <= P < 63%: Sufficient (4)
- 0% <= P < 50%: Insufficient (5)

Examination topics

Content from the slides and the specified literature of the course.

Reading list

Slides and all other course materials are available on the Moodle learning platform.

Association in the course directory

Module: ISE

Last modified: Fr 13.12.2024 09:45