| Lecturer | Prof. Dr. Artem Ivanov |
| Type of course | Lecture(5h/w:ENG);Exercise (1h/w: GER) |
| ECTS credits | 7 |
| Semester | Summer semester |
| Admission Requirements | --- |
| Objectives | - Know the physical basics of mechanical, thermodynamically, optical and electrical phenomena
- Correctly identify and categorize the physics basics of technical applications
- Understand dependences between different aspects of technical applications
- Analyze and visualize physical calculations
- Carry out simple physical calculations
|
| Lecturer | Martens Maren (Prof. Dr.) |
| Type of course | Lecture / Exam |
| ECTS credits | 5 |
| Semester | winter term |
| Admission Requirements | --- |
| Objectives | - Students can identify and classify optimization Problems in retworks arising in logistics and production (or likewise in other sectors such as energy or telecommunication). They are proficient in modelling techniques and they can solve optimization Problems algorithmically.
- Students understand the scientific basics of algorithmics and complexity.
- for a variety of network optimization problems the know various algorithms and can classify them w.r.t. their efficiency
- Students can execute basic network algorithms independently and they can use them to solve real-world optimization problems as they appear, e.g. in logistics
- they are able to find modelling approaches and solution methods also for new problems from real-world applications, they independently understand algorithms, which were previously unknown th them, and dploy them correctly
- they can classify problems w.r.t. their solvability and they are able to devleop alogrithmic approaches by themselves
|
International Business and Cross-Cultural Communication
| Lecturer | Prof. Reinhold Kohler |
| Type of course | Lecture |
| ECTS credits | 5 |
| Semester | Summer semester |
| Admission Requirements | recommended: Module „Principles of Business Administration and Economics“ (WIT150 - see above) |
| Objectives | - Know and assess the degree, characteristics, drivers, advantages, and problems of economic internationalization
- Detailed knowledge of the key questions and planning steps for business internationalization, and ability to apply respective planning instruments
- Know the typical operational issues caused by internationalization and understand the basic concepts for solving them
- Understand the concept of culture and its importance for business
- Assess one´s own culture and its influence on behavior and communicate effectively in international teams
|
International Production Networks and Logistics
| Lecturer | Prof. Dr. Sebastian Meissner |
| Type of course | Lecture |
| ECTS credits | 5 |
| Semester | Winter semester |
| Admission Requirements | --- |
| Objectives | - Learn why and how production and logistics are organized and coordinated in international networks
- Fundamental knowledge of international network structure, especially of types and configuration of production and logistics networks
- Fundamental theoretical knowledge for analyzing, creating, optimizing and controlling international production and logistics networks
- obtain skills for practical problem solving in production and logistics networks
- gain managerial competencies with respect to network leadership, cross-company communication and international oganization as well as sustainability
- Understand the basics of quantitative and qualitative methodologies
- Get to know a variety of marketing instruments
|
| Lecturer | Prof. Andrea Badura |
| Type of course | Lecture |
| ECTS credits | 5 |
| Semester | Winter semester |
| Admission Requirements | recommended: Module „Principles of Business Administration and Economics“ (WIT150 - see above) |
| Objectives | - Understand basic marketing and sales models and theories
- Analyze market and demand behavior
- Reflect and describe typical organizational settings in the field of marketing and sales
- Solve marketing related case studies in order to gain a better application-oriented knowledge about marketing and sales objectives
|
Principles of Business Administration
| Lecturer | Prof. Markus Schmitt |
| Type of course | Lecture |
| ECTS credits | 5 |
| Semester | Winter semester |
| Admission Requirements | --- |
| Objectives | - Understand the fundamental terms of business administration and economics
- Understand the way of economic thinking
- Master basic methods of business administration and economics
- Insights into the importance and tasks of the functional areas of a business
- Understand the complexity of business processes and economic developments
|
| Lecturer | Prof. Dr. Meissner, Sebastian |
| Type of course | Lecture / Exercise |
| ECTS credits | 6 |
| Semester | Winter semester |
| Admission Requirements | --- |
| Objectives | - Understand the operational process of producing goods and the fundamentals of procurement and purchasing
- Know the fundamentals of manufacturing, different production types, production planning and control in order to understand optimization and adjustment decisions (e.g. as part of lean manufacturing)
- Insight into logistics, from transport systems to internal and cross- company integrating supply chains
|
| Lecturer | Prof. Dr. Holger Timinger |
| Type of course | Lecture / Exercise |
| ECTS credits | 5 |
| Semester | Summer semester |
| Admission Requirements | --- |
| Objectives | - Understand the principles of projects and project management
- Understand relevant terms and methods related to project management, characteristics of projects
- Learn basic leadership and management principles for project managers and how to use project management software
- Learn how to organize tasks by applying efficient time management and result-oriented way of working
- Effectively work in projects and manage and lead simple or small projects on your own
|
| Lecturer | Martens Maren (Prof. Dr.) |
| Type of course | Lecture / Exam |
| ECTS credits | 5 |
| Semester | winter term |
| Admission Requirements | --- |
| Objectives | - Students can identify and classify optimization Problems in retworks arising in logistics and production (or likewise in other sectors such as energy or telecommunication). They are proficient in modelling techniques and they can solve optimization Problems algorithmically.
- Students understand the scientific basics of algorithmics and complexity.
- for a variety of network optimization problems the know various algorithms and can classify them w.r.t. their efficiency
- Students can execute basic network algorithms independently and they can use them to solve real-world optimization problems as they appear, e.g. in logistics
- they are able to find modelling approaches and solution methods also for new problems from real-world applications, they independently understand algorithms, which were previously unknown th them, and dploy them correctly
- they can classify problems w.r.t. their solvability and they are able to devleop alogrithmic approaches by themselves
|
