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040161 KU Implementation of Optimization Techniques - Teil 2 (MA) (2019S)

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.

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Pen & Paper Exam: 13.06.2019
End-Term Exam: 27.06.2019

Donnerstag 09.05. 15:00 - 18:10 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 13.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 16.05. 15:00 - 18:10 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 20.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 23.05. 15:00 - 18:10 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 03.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 06.06. 15:00 - 18:10 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 13.06. 15:00 - 18:10 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 13.06. 15:00 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Montag 24.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 27.06. 15:00 - 18:10 PC-Seminarraum 5 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 2017 for Windows Desktop
* Basic and advanced concepts of the C++ programming language (data types and operators, selective structures, iteration structures, input and output with files, functions, structures, standard template library, iterators, recursive functions, bitwise operators, 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 the Traveling Salesperson Problem (TSP) and the Vehicle Routing Problem (VRP)

Art der Leistungskontrolle und erlaubte Hilfsmittel

* [30%] Homework: Programming Exercises
* [30%] Mid-Term Exam (pen and paper, closed book)
* [40%] End-Term Exam (programming, open book)

The homework programming exercises can (and should be done) in groups of 2 - 3 people. They have to be uploaded in Moodle until latest Tuesday 23:59 o'clock prior to the next class. At the beginning of each class groups will be randomly selected to present their code. In general, if a programming exercise is uploaded students must be present in class, so that they can be chosen to present their homework.

Absence without a valid excuse can be penalized by deducting up to twice as many points as the ticked questions/exercises are worth. If one is asked to present the solution of a programming exercise but fails to do so, all points for programming exercises of the respective class 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, selective structures, iteration structures, input and output with files, functions, structures, standard template library, iterators, recursive functions, bitwise operators, 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: Fr 06.09.2019 09:47