311.266 (22S) Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises

Sommersemester 2022

Registration deadline has expired.

First course session
02.03.2022 14:00 - 15:00 N.2.01 On Campus
... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
Lecturer
Course title german Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises
Type Practical class (continuous assessment course )
Course model Attendance-based course
Hours per Week 1.0
ECTS credits 2.0
Registrations 11 (25 max.)
Organisational unit
Language of instruction English
Course begins on 02.03.2022
eLearning Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information

Intended learning outcomes

After successful completion of the course, students should be able to solve problems using the methods presented at the lecture.

Teaching methodology

Solving problems.

Course content

The same as for 211.265.

Prior knowledge expected

The same as for 211.265.

Curricular registration requirements

The same as for 211.265.

Literature

The same as for 211.265.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Examination methodology

Solving homework assignments, presenting the solutions, participation in discussions.

Examination topic(s)

Problems related to the contents of the lecture.

Assessment criteria / Standards of assessment for examinations

Weekly home assignments will be published on Moodle. Students will declare which problems they solved via checklists (Kreuzesystem). In class, students will present their solutions.

Marking the problems in the  Kreuzesystem will be converted into submission points. For each weekly homework assignment the number of submission points is the fraction of the problems that a student solved. (Example: If an assignment consists of 5 problems and a students marks 3 of them, then they will get 0.6 submission points for this homework). The maximum possible total number of submission points is 14, as there will be 15 exercise sessions, and the worst submission won't be considered.

Class presentations and randomly selected written submissions will be graded from 1 (bad) to 4 (good). The average of these grades will make the presentation points. They will be added to the submission points, thus giving a pre-final grade of at most 18 points.

In order to pass the course, a student should

1. collect at least 8.4 submission points (this is 60% of the maximally possible 14), 

2. collect at least 10 points in total, and

3. solve at least one problem in every assignment.

In this case, the pre-final grade will be converted into the final grade as follows:

[10 – 12) → acceptable (4)

[12 – 14) → satisfactory (3)

[14 – 16) → good (2)

[16 – 18] → very good (1).

Active participation in discussions might be used as a bonus if the pre-final grade is very slightly below the separating value.  

If a student cannot present a solution of the problem that he/she marked as solved, all their submission points for that week will be cancelled. If this situation is repeated, the student will not pass the course.

Attendance is compulsory. If a student cannot attend due to a health-related issue, they should provide a medical certificate. Please report such cases, as well as any other emergencies, in advance, by a short e-mail.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Thematic Doctoral Programme Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (SKZ: ---, Version: 16W.1)
    • Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (Compulsory subject)
      • Modeling-Analysis - Optimization of discrete, continuous and stochastic systems ( 0.0h XX / 0.0 ECTS)
        • 311.266 Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises (1.0h UE / 2.0 ECTS)
  • Bachelorstudium Technische Mathematik (SKZ: 201, Version: 17W.1)
    • Subject: Diskrete Mathematik (Compulsory elective)
      • 10.8 Ausgewählte Kapitel der Diskreten Mathematik ( 1.0h UE / 2.0 ECTS)
        • 311.266 Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises (1.0h UE / 2.0 ECTS)
          Absolvierung im 5., 6. Semester empfohlen
  • Master's degree programme Mathematics (SKZ: 401, Version: 18W.1)
    • Subject: Discrete Mathematics (Compulsory elective)
      • 6.7 Selected Topics in Discrete Mathematics ( 1.0h UE / 2.0 ECTS)
        • 311.266 Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises (1.0h UE / 2.0 ECTS)
  • Master's degree programme Mathematics (SKZ: 401, Version: 18W.1)
    • Subject: Applied Mathematics (Compulsory elective)
      • Lehrveranstaltungen aus den Vertiefungsfächern ( 0.0h XX / 12.0 ECTS)
        • 311.266 Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises (1.0h UE / 2.0 ECTS)
  • Doctoral programme Doctoral programme in Technical Sciences (SKZ: 786, Version: 12W.4)
    • Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Compulsory subject)
      • Studienleistungen gem. § 3 Abs. 2a des Curriculums ( 16.0h XX / 32.0 ECTS)
        • 311.266 Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises (1.0h UE / 2.0 ECTS)

Equivalent courses for counting the examination attempts

This course is not assigned to a sequence of equivalent courses