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Electrical & Industrial Engineering

English Modules and Classes

LecturerProf. Dr Artem Ivanov
Type of courseLecture(5h/w:ENG);Exercise (1h/w: GER)
ECTS credits7
SemesterSummer Semester
Module NumberWIT242
Admission RequirementsB2 Level in English
Programme FormatOn Campus
Objectives

After successful completion of this course, students:

  • Know the physical basics of mechanical, thermodynamic, optical and electrical phenomena
  • Correctly identify and categorise the physics basics of technical applications
  • Understand dependences between different aspects of technical applications
  • Analyze and visualise physical calculations
  • Carry out simple physical calculations

LecturerProf. Reinhold Kohler
Type of courselecture
ECTS credits5
SemesterSummer Semester
Module NumberWIT490
Admission Requirements

Recommended: Module "Principles of Business Administration and Economics" (WIT150 - see above)

B2 Level in English

FormatOn Campus
Objectives

After successful completion of this course, students:

  • Know and assess the degree, characteristics, drivers, advantages, and problems of economic internationalisation
  • Acquire detailed knowledge of the key questions and planning steps for business internationalisation, and ability to apply respective planning instruments
  • Know the typical operational issues caused by internationalisation 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 behaviour and communicate effectively in international teams

LecturerProf. Dr Sebastian Meissner
Type of courselecture
ECTS credits5
SemesterWinter Semester
Module NumberWITA60/WMI63
Admission Requirements

B2 Level in English

Remarks

For Bachelor Students: Course for 3-4 semesters

For Master Students: Course for 1 semester
Course FormatOn Campus
Objectives

After successful completion of this course, students:

  • Learn why and how production and logistics are organised and coordinated in international networks
  • Acquire fundamental knowledge of international network structure, especially of types and configuration of production and logistics networks
  • Acquire 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 oganisation as well as sustainability
  • Understand the basics of quantitative and qualitative methodologies
  • Get to know a variety of marketing instruments

LecturerProf. Andrea Badura
Type of courselecture
ECTS credits5
SemesterWinter Semester
Module NumberWIT370
Admission Requirements

Recommended: Module "Principles of Business Administration and Economics" (WIT150 - see above)

B2 Level in English

FormatOn Campus
Objectives

Throughout the course, students:

  • Understand basic marketing and sales models and theories
  • Analyze market and demand behaviour
  • Reflect and describe typical organisational 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

LecturerProf. Dr Reinhold Kohler
Type of courselecture
ECTS credits5
SemesterWinter Semester
Module NumberWIT150
Admission RequirementsB2 Level in English
Programme FormatOn Campus
Objectives

After successful completion of this course, students:

  • Understand the fundamental terms of business administration and economics
  • Understand the way of economic thinking
  • Master basic methods of business administration and economics
  • Get insights into the importance and tasks of the functional areas of a business
  • Understand the complexity of business processes and economic developments

LecturerProf. Dr Sebastian Meissner
Type of courseLecture / Exercise
ECTS credits6
SemesterWinter Semester
Module NumberWIT331
Admission RequirementsB2 Level in English
Programme Format

On Campus

Objectives

After successful completion of this course, students:

  • 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 optimisation and adjustment decisions (e.g. as part of lean manufacturing)
  • Get insights into logistics, from transport systems to internal and cross- company integrating supply chains

LecturerProf. Dr Holger Timinger
Type of courseLecture / Exercise
ECTS credits5
SemesterSummer Semester
Module NumberWIT450
Admission RequirementsB2 Level in English
Programme FormatOn Campus
Objectives

Throughout the course, students:

  • 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

LecturerProf. Dr Jürgen Giersch
Type of courseLecture / Exercise (On demand)
ECTS credits3
SemesterWinter Semester
Module NumberWITT70
Admission Requirements

B2 Level in English

RemarksPractical Work in English
FormatOn Campus
ObjectivesThe students understand the terms and definitions of metrology according to DIN1319-1 and BIPM-VIM, the basic characteristics of test and measurement processes as well as the requirements that are placed on a measurement process.
They are familiar with the basic procedure for computer-aided measurement, know the most important sources of error, especially in numerical calculation, and suitable strategies for error detection and avoidance. They experience the use of a graphical programming language and know how to apply it for process visualisation. They recognise the most important key figures for measuring equipment capability or test equipment suitability investigations and their definition.
Skills and Competencies:
The students are able to analyse and evaluate error influences according to their origin and impact according to their origin and effect. They are able to interpret measurement uncertainties according to GUM for different measurement scenarios and to specify them. They have the competence to accompany and suitably document test and measurement capability studies for computer-aided measuring instruments. They are able to generate estimated values for capability indicators obtained from measurement series, to check them for consistency and to critically question them. They have the ability to extend existing LabVIEW program code and to develop their own programs for metrological applications.

LecturerProf. Dr. Reinhold Kohler
Type of courseLecture / Exercise
ECTS credits3
SemesterWinter Semester / Summer Semester
Module NumberWIT710
Admission RequirementsB2 Level in English
Format

On Campus

Objectives

After successful completion of this course, students:

  •  Can identify and classify optimization problems in retworks arising in logistics and production (or likewise in other sectors such as energy or telecommunication).
  • Are proficient in modelling techniques and can solve optimization problems algorithmically
  • Understand the scientific basics of algorithmics and complexity for a variety of network optimization problems
  • Know various algorithms and can classify them with regards to their efficiency
  • Can execute basic network algorithms independently and they can use them to solve real-world optimization problems as they appear, e.g. in logistics
  • Are able to find modelling approaches and solution methods also for new problems from real-world applications
  • Independently understand algorithms, which were previously unknown to them and deploy them correctly
  • Can classify problems with regards to their solvability and
  • Are able to devleop alogrithmic approaches by themselves