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Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice (e.g. cancellation of on-site teaching and conversion to online exams). Register for courses/exams via u:space, find out about the current status on u:find and on the moodle learning platform.

Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

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

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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.

Registration/Deregistration

Details

max. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

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

Information

Aims, contents and method of the course

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

Assessment and permitted materials

* [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.

Minimum requirements and assessment criteria

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%

Examination topics

* 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.

Reading list

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

Association in the course directory

Last modified: Mo 07.09.2020 15:19