040161 KU Implementation of Optimization Techniques - Teil 2 (MA) (2019S)
Prüfungsimmanente Lehrveranstaltung
Labels
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.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 11.02.2019 09:00 bis Mi 20.02.2019 12:00
- Anmeldung von Di 26.02.2019 09:00 bis So 12.05.2019 12:00
- Abmeldung bis Mi 15.05.2019 23:59
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
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.
* [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%
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.
* 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
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 15:28
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