Universität Wien

040064 KU Implementation of Optimization Techniques - Teil 2 (MA) (2019W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

The course KU Implementation of Optimisation Techniques (8 ECTS) as mentioned in the master’s curriculum Business Administration will not be offered any more in its original form. It is now split into two parts: Implementation of Optimization Techniques Part 1 (4 ECTS) and Implementation of Optimization Techniques Part 2 (4 ECTS). Hence, both courses are compulsory for students of Business Administration doing their Major in Smart Production and Supply Chain Management (as an equivalent to the old 8 ECTS course).

For students of Business Administration who are NOT doing their Major in Smart Production and Supply Chain Management, this course can be chosen as elective course.

A positive grade in Implementation of Optimization Techniques Part 1 is a prerequisite for participating in this course.

The course is particularly recommended to students, who want to write their thesis in the field Smart Production and Supply Chain Management.
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

1st Exam: 09.01.2020 16:45 - 18:15
2nd Exam: 16.01.2020 16:45 - 18:15

  • Donnerstag 21.11. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 25.11. 16:45 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 28.11. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 02.12. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 05.12. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 09.12. 16:45 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 12.12. 15:00 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Dienstag 07.01. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 09.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Montag 13.01. 16:45 - 18:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 16.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 23.01. 16:45 - 20:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Overall objective: to learn "hands-on" how to implement optimization algorithms in C++.

The course covers following topics:
* Get familiar with Microsoft Visual Studio Community 2019 for Windows Desktop
* Basic and advanced concepts of the C++ programming language (data types and operators, conditional statements, iterative statements, input and output with files, functions, structures, standard template library, iterators, recursive functions, function objects)
* Methodological knowledge for developing algorithms and their translation into C++ (a step by step approach to select suitable data and program structures)
* Implementation of constructive methods and improvement methods for problems that arise in production and logistics

Art der Leistungskontrolle und erlaubte Hilfsmittel

* [25%] Homework: Programming Exercises
* [37.5%] 1st Programming Exam (open book)
* [37.5%] 2nd Programming Exam (open book)

The homework exercises can (and should be done) in groups of 2 - 3 people. The code of the exercises has to be uploaded in Moodle until latest 23:59 o'clock on the respective due date. At the beginning of each class groups will be randomly selected to present their code.

In general, students who uploaded an exercise have to be present in class. Absence without a valid excuse can be penalized by deducting up to twice as many points as the exercise is worth. If one is asked to present the solution of an exercise but fails to do so, all points of the respective exercise will be canceled.

Attempts of cheating by groups (e.g., uploading code which was partly not written by themselves) or single students (e.g., no contribution to the exercise) might be penalized by deducting up to twice as many points as the exercise is worth. In severe cases, cheating (copying code) may even lead to failing the course and an entry of “X” in the record of exams.

Mindestanforderungen und Beurteilungsmaßstab

In order to obtain a positive grade on the course, at least 50% of the overall points have to be achieved, and at least one out of 2 written exams has to be positive (>= 50%). The other grades are distributed as follows:
1: 87% to 100%
2: 75% to <87%
3: 63% to <75%
4: 50% to <63%

Prüfungsstoff

* Basic and advanced concepts of the C++ programming language (data types and operators, conditional statements, iterative statements, input and output with files, functions, structures, standard template library, iterators, recursive functions, function objects, etc.).
* Implementation of optimization methods for various problems that arise in production and logistics.

Literatur

The teaching material (slides, exercises, sample solutions, etc.) is available on the e-learning platform Moodle.
In order to access this material you need a valid UNET account. Moodle weblogin: https://moodle.univie.ac.at/

Useful links:
http://www.cplusplus.com/doc/tutorial/
http://www.cppreference.com

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:19