Moses - Research Seminar: Operations Management using Python and Gurobi

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Module / Version:
#70405 / #2

Validity:
Seit WiSe 2023/24

Default display language:
English

Module title:
Research Seminar: Operations Management using Python and Gurobi

Credits:
6

Responsible person:
Volling, Thomas

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät VII

Institute:
Institut für Betriebswirtschaftslehre

Area of expertise:
37321200 FG Industrielles Produktions- und Dienstleistungsmanagement (POM)

Prüfungsausschuss:
Betriebswirtschaftslehre

Kontakt

Office:
H85

Contact person:
Gärtner, Nico

E-mail address:
service@pom.tu-berlin.de

Website:

https://www.tu.berlin/en/pom/study/courses/pomcodinglab-advanced-methods-and-tools-of-production-management

Learning Outcomes

This module embraces the importance of using state-of-the-art software in production and operations management. It is designed for students who want to improve their skills in conducting research projects and would like to become involved with the solution of emerging challenges in the design and operation of industrial manufacturing systems. The objective of the module is to provide students with advanced knowledge on how to define, model, implement, and solve research problems in production and operations management. After completion of the module, students will be able to use Python and Gurobi for data analysis and the formulation and implementation of optimization problems. They acquire in-depth knowledge on the practice of operations management and are able to critically reflect the potentials and limitations of modern decision support techniques. By compiling a research paper and presenting their work, they improve their academic writing skills and gain expertise in the communication and discussion of scientific results.

Content

Working in small research teams, students develop solutions for selected challenges of production and operations management. The solutions are implemented using state-of-the-art software for optimization and data analysis. Based on a case study, the teams write a seminar paper and present their work within a scientific colloquium. The necessary skills in scientific writing and the appropriate use of related software are trained in a primer consisting of lecture and exercise elements. Special advice and guidance are provided to support modeling and writing activities.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Research Seminar: Operations Management using Python and Gurobi	SEM		WiSe/SoSe	English	3

Workload and Credit Points

Research Seminar: Operations Management using Python and Gurobi (SEM):

Workload description	Multiplier	Hours	Total
Attendance	15.0	3.0h	45.0h
Preprocessing of Training Case 1 and 2	1.0	3.0h	3.0h
Pre/post processing	15.0	8.0h	120.0h
			168.0h(~6 LP)

The Workload of the module sums up to 168.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The module is an integrated course consisting of teaching, exercise, and discussion elements in English. The lectures focus on the underlying problems of production management. Moreover, it provides an application-oriented introduction to advanced scientific writing techniques. The required knowledge in the use of software and mathematical optimization is conveyed in case-based exercises. In a scientific colloquium, the student groups present and discuss their results.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Knowledge in accordance with basic production and operations management as well as programming courses

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Online Training Case 1	15	written	online quizz, approx. 30 minutes
Online Training Case 2	15	written	online quizz, approx. 30 minutes
Presentation	30	oral	10 minutes / person
Seminar paper	40	written	5 pages / person

Grading scale

Notenschlüssel »Notenschlüssel 4: Fak I, Fak VII«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	90.0pt	85.0pt	80.0pt	76.0pt	72.0pt	67.0pt	63.0pt	59.0pt	54.0pt	50.0pt

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to a maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Management (decision of the school's council dated May 28, 2014 - FKR VII-4/8-28.05.2014).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Participation in this module requires no registration.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
Computer Engineering (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024
Computer Science (Informatik) (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024
Elektrotechnik (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024
Industrial Economics (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)	1	4	WiSe 2023/24	SoSe 2024
Innovation Management, Entrepreneurship, and Sustainability (M. Sc.)	1	4	WiSe 2023/24	SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024
Wirtschaftsmathematik (M. Sc.)	1	2	WiSe 2023/24	SoSe 2024

Miscellaneous

The registration period for the exam registration will be announced at the beginning of the module.

Research Seminar: Operations Management using Python and Gurobi