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

Sommersemester 2022

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Erster Termin der LV
02.03.2022 14:00 - 15:00 N.2.01 On Campus
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Überblick

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Präsenz-Lehreveranstaltungen und Umstellung auf Online-Prüfungen) erforderlich sein.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
Lehrende/r
LV-Titel englisch Selected Topics in Discrete Mathematics (Combinatorial Enumeration), exercises
LV-Art Übung (prüfungsimmanente LV )
LV-Modell Präsenzlehrveranstaltung
Semesterstunde/n 1.0
ECTS-Anrechnungspunkte 2.0
Anmeldungen 11 (25 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 02.03.2022
eLearning zum Moodle-Kurs

Zeit und Ort

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LV-Beschreibung

Intendierte Lernergebnisse

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

Lehrmethodik

Solving problems.

Inhalt/e

The same as for 211.265.

Erwartete Vorkenntnisse

The same as for 211.265.

Curriculare Anmeldevoraussetzungen

The same as for 211.265.

Literatur

The same as for 211.265.

Prüfungsinformationen

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.

Prüfungsmethode/n

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

Prüfungsinhalt/e

Problems related to the contents of the lecture.

Beurteilungskriterien/-maßstäbe

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.

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Doktoratsprogramm Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (SKZ: ---, Version: 16W.1)
    • Fach: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems (Pflichtfach)
      • 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)
    • Fach: Diskrete Mathematik (Wahlfach)
      • 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
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Discrete Mathematics (Wahlfach)
      • 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)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Applied Mathematics (Wahlfach)
      • 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)
  • Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften (SKZ: 786, Version: 12W.4)
    • Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums (Pflichtfach)
      • 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)

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