Universität Wien

052400 VU Information Management & Systems Engineering (2026S)

Continuous assessment of course work

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

  • Friday 06.03. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 13.03. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 27.03. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 17.04. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 24.04. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 08.05. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal I NIG Erdgeschoß
  • Friday 15.05. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 22.05. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 29.05. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Friday 05.06. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal I NIG Erdgeschoß
  • Friday 12.06. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal I NIG Erdgeschoß
  • Friday 19.06. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal I NIG Erdgeschoß
  • Friday 26.06. 13:15 - 14:45 Hörsaal 1, Währinger Straße 29 1.UG
    Hörsaal I NIG Erdgeschoß

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.

The mode and format of this course may be subject to change after the registration deadline, depending on the final number of registrations.

Assessment and permitted materials

The final grade is based on the sum of points from all assessment components (maximum total score = 116):

• Part A: In total, a maximum of 66 points can be earned as follows:
A.1: Two written tests/exams on the conceptual content covered by the lectures, each worth up to 25 points, i.e., a maximum of 50 points.
No aids are allowed during the exams.

A.2: Two optional performance assessments,
(i) short quizzes (maximum 10 minutes) at the beginning of individual sessions, worth up to 8 points, and
(ii) independently completed post-lecture tasks, worth up to 8 points,
i.e., in total a maximum of 16 points one can achieve optionally from A.2

• Part B: Two assignments covering the design specification and development of an information system (IS), each worth up to 25 points, i.e., a maximum of 50 points.

The use of generative AI tools is generally not permitted unless you are explicitly asked to do so.
You must adhere to the » rules of academic integrity for this course (see download) in order to be assessed. Violating these rules may result in an assessment of plagiarism.

Minimum requirements and assessment criteria

Gain a profound and thorough understanding of the topics presented in the course.
To pass the course, the following conditions must be met:
- At least 50% of the maximum points from the two tests in Part A (see A.1 above).
- At least 50% of the maximum points from Part B.
- A mandatory final presentation with slides on the solutions for Part B.
- Need to be present at each assessment meeting for the assignments if and as requested.
- Attendance is mandatory in the event of an individually conducted plausibility check of the submitted contributions (e.g., suspicion of plagiarism, unauthorized aids including AI tools, group work, etc.).

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

Examination topics

Contents of the slides and the literature mentioned in the course.

Reading list

Slides and all other materials for the course are available via the Moodle teaching platform.

Association in the course directory

Module: ISE

Last modified: Th 12.02.2026 14:05