Universität Wien

051120 VO Mathematical Foundations of Computer Science 2 (2023S)

3.00 ECTS (3.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Moodle

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

The overview of the contents given in Moodle for the unbits is a guideline and can be slightly different depending on necessity. I.e. content can be covered earlier or later in a course.

We strongly recommend that you read the content on Moodle before the unit so that you can ask qualified questions about the content.

  • Monday 06.03. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 20.03. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 27.03. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 17.04. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 08.05. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 15.05. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 22.05. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 05.06. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 12.06. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 19.06. 13:15 - 15:45 Hörsaal 1, Währinger Straße 29 1.UG
  • Monday 26.06. 13:15 - 14:45 Seminarraum 1, Währinger Straße 29 1.UG
    Seminarraum 4, Währinger Straße 29 1.UG
    Seminarraum 5, Währinger Straße 29 1.UG

Information

Aims, contents and method of the course

The students know the basics of one-dimensional and multidimensional analysis and can apply this knowledge independently to simple problems in economics, technology and natural sciences. They are able to efficiently use suitable software tools for modeling, graphing and solving the problems. Students will be able to communicate this knowledge in the context of an oral presentation.

This course builds on the module "MG1 - Mathematical Foundations of Computer Science 1" and assumes mastery of the theory and practice brought there.

In addition to the individual chapters, there are exercise examples that you can use to independently test your knowledge.

Lecture notes and additional materials are made available on the learning platform.

During the distance learning phase, students work through the content independently with the help of the materials provided. Questions about the content are asked in the discussion forum and answered by the students or the lecturers.

In the Face-2-Face phase, the materials are intended to simplify "taking notes" or to help students prepare before the lecture in order to be able to follow the lecture more easily or to ask thematic questions about the content (in the sense of a "flipped classroom"). These questions can also be asked in the discussion forum.

Assessment and permitted materials

90-minute written examination on the contents of the lecture, which is to show that the theoretical and practical contents of the course, including its fundamentals, are mastered by means of simple questions that can be answered and solved briefly, as well as examples. Neither documents nor electronic aids are allowed for these written exams. However, please bring a pencil, eraser and ruler as well as at least one functioning writing utensil. More detailed information about the exam can be found in the corresponding Moodle course.

Minimum requirements and assessment criteria

Implementation of the learned contents when solving the examination tasks independently. At least 50% of the maximum possible points awarded must be achieved in order to receive a positive grade. The grade key and the basis for evaluation will be sent by e-mail before each examination or can be found in the LV-Moodle.

Examination topics

Overall content of the lecture. Mathematics is building up. Therefore, the contents of the module "MG1 - Mathematical Foundations of Computer Science 1" and parts of the Technical Foundations of Computer Science (TGI) as well as "School Calculations" (fractions, quadratic equations, percentages, polynomials, etc.) are assumed, since these contents are indispensable for solving the tasks and understanding the contents of MG2.

Reading list

Documents and further information on the lecture on the eLearning platform.

Volume 2, part Analysis by Gerald Teschl, Susanne Teschl, "Mathematics for Computer Scientists", Springer Verlag 2014, https://link.springer.com/book/10.1007/978-3-642-54274-9

Mathematics, Tilo Arens et al, Springer 2015, https://www.springer.com/de/book/9783642449185

As a prerequisite (MG1): Teschl and Techl: Mathematics for Computer Scientists. Volume 1: Discrete mathematics and linear algebra.

Springer, 2006, ISBN 3-540-25782-9.

An annotated list as well as links to further sources can be found in the lecture material on the eLearning platform.

Association in the course directory

Module: MG2 UF-INF-12 GMA

Last modified: Fr 30.06.2023 10:06