1. Foundations & Algorithms

- ML Principles: Supervised vs. unsupervised learning in an industrial context.

- Algorithms: Working principles of Decision Tree, Random Forest, kNN, SVM, PCA, and kMeans.

2. Implementation & Practical Application

- Model Selection: Criteria for choosing the right model for production problems.

- Python Practice: Implementing ML pipelines and predictions using standard libraries (e.g., `scikit-learn`).

3. Evaluation & Trade-offs

- Model Comparison: Critical analysis of overfitting and generalization capability.

- Resources: Evaluating computational requirements for production deployment.

4. Project Design

- Independent problem identification

- Data preparation

- Training and efficiency evaluation in real-world deployment

• Students can explain the basic principles and differences between supervised learning and unsupervised learning. They are able to describe the concepts behind the Decision Tree, Random Forest, kNN, SVM and kMeans algorithms and explain how they can be used in production.

• Students can select the appropriate machine learning model for a given production problem and apply this model to analyze data and make predictions. They demonstrate the ability to implement the corresponding algorithms using standard ML libraries in Python.

• Students are able to critically analyze and compare the performance and suitability of different machine learning models based on specific requirements and data characteristics in the production environment. They will be able to discuss the advantages and disadvantages of each model in terms of overfitting, generalization capability and computational requirements.

• Students will be able to independently identify a complex production problem for which the use of machine learning makes sense and develop a comprehensive plan for the implementation of a suitable ML model. This includes the selection of the model, data preparation, training and validation of the model as well as the evaluation of its effectiveness and efficiency in real production applications.

Lecture with PowerPoint slides. The students develop and solve case studies from the industry on the respective topics with Python. All examples (including the data sets) and solutions (Python-code and graphics) are available via Moodle as a download.

Continuous assessment

dealing with statistics
presentations of tables and graphs
participating in discussions
business ethics

• The students can present controversial topics and discuss them from different points of view, linguistically and grammatically correct.

reading/writing/speaking

individual work
teamwork
presentations
discussions

Continuous assessment

Intercultural Awareness and Communication
Introduction to theories of intercultural communication
-Components and dimensions of intercultural communication
-Self awareness
-Cultural identity and awareness
 
International and Intercultural Management Competencies
Developing context-related solutions and approaches in international
and intercultural management
-Communication
-Internationalization
-Leadership and management style
-Business and product creation
-Innovation
-Negotiation with international customers
-Mediation
-Cultural differences in leadership and management styles

Coaching for international career development
-Personal and academic preparation
-International life
-Business life

• Learn key elements about intercultural communication in order to carry out negotiations, business discussions and written communications, linguistically and grammatically correct. Students will learn how to take into account cultural differences and how to adapt in specific business situations. Prerequisites for starting and conduct an international career will also be illustrated to give students a perspective of such an important professional and life challenge

Lecturers complemente by group discussions

Continuous assessment: LV continuous assessment and final written examination

Part 1: Management systems and corporate strategy
- Management systems

- Strategic analysis

- Strategy development

- Strategy implementation

Part 2: Integrative management systems
- Requirements

- Procedure for setting up

- Process management

- Evaluation and improvement of management systems

Part 3: Corporate policy and management
- Product range and distribution policy

- Pricing and decision-making policy

- Brand policy and neuromarketing

- Personnel policy, management and leadership

• The graduate understands the logical connections between individual management systems and can apply this overarching approach to current problems. He/she has knowledge of the basics, terms, strategic guidelines, operational implementation rules, measurable results and possible obstacles, in each case for the development, application and improvement of management systems for corporate governance.

Sandwich principle
- Introduction to the topic (activation of prior knowledge and linking with other course content)

- Input phase through the lecture part

- Discussion and processing phase based on the preparation of case studies in the group

- Input phase of the results by the students

- Individual discussion of the course material on the basis of individual tasks and for the purpose of exam preparation

- The written exam forms the exit from the course

Continuous assessment: 40% Written exam (final exam)

40% group work

20% individual work

•Physical basics

◦Requence equations: conservation of mass, conservation of momentum in x, y and z, conservation of energy
◦In integral form for FV method


• Numerical implementation

◦Finite volume procedure
◦Reynold-averaged Navier-Stokes equations (RANS)
◦Discretization, structured and unstructured computing networks
◦Overview of solution methods


• Characteristics CFD (Computational Fluid Dynamics)

◦Turbulenzmodelle
◦Y + value
◦Wandfunktionen
◦Strömungsrandbedingung


• Practical examples with Simcenter 3D

◦Flügelumströmung
◦Rohrströmung
◦Heat dissipation radiator (coupled thermal / flow)

• The lecture will cover both the theoretical and the basic practical contents for starting the flow simulation. The theoretical content will be translated into Simcenter 3D Flow / Thermal using concrete practical examples.

Combination of theoretical presentation and practical application in SIMCENTER 3D

Continuous assessment

Part 1: Management systems
- Concept of quality

- Selected standard areas from quality management, environmental management, safety management, risk management

Part 2: Quality tools and methods
- Flow chart

- Process and machine capability

- Value stream

- FMEA

- Process capability, machine capability

Part 3: Process improvement programs
- Kaizen, Lean Production

- Six Sigma

- Quality in Process

- TQM as a corporate strategy

- Implementation of TQM in the European Foundation for Quality Management (EFQM) model

• The graduate can clearly define the standards presented and apply the methods developed to improve procedures and processes in business practice. He/she has knowledge of process improvement programs and understands how to apply the theoretical content presented in the lecture by means of individual and group exercises.

Sandwich principle
- Introduction to the topic (activation of prior knowledge)

- Input phase through lecture part

- Discussion and processing phase using group exercises

- Input phase of the results by the students

- Individual discussion of the course material using individual tasks and for the purpose of exam preparation

- Written exam forms the exit from the course

Final exam: 65% written exam (final exam)

35% cooperation

. Introduction to the structure and essential components of machine tools
. Frame, guides, main drive, clamps, position measuring systems, control technology
. Machine tools for metal forming manufacturing processes
. Machine tools for cutting manufacturing processes
. Machine tools for tools with geometrically defined and undetermined cutting
. Machine tools for manufacturing gear teeth
. Current trends and development of machine tools.

• General understanding of the concepts of frame, guides, main drive, clamps, position measuring systems, control technology.

Lecture
Term Presentation
Scientific review of terms and concepts

Continuous assessment: LV-final exam 50%, Term Presentation 30%, Participation 20%

Development and characterisation of laser sources, generation of laser beams and sound sources for manufacturing processes withing system engineering.
Principles of:
• the interaction between laser beam and component parts
• effect of heat on component parts
• process of diffusion and absorption on suspended matter.
Estimation of achievable results, manufacturing processes (welding, cutting, processes for surface modification with laser (drill and wear)).

• Students know the criteria for choosing manufacturing processes (such as the materials to be machined, the required accuracy, the surface quality and the batch sizes to be produced)

• The students know the criteria for the choice of the machine tool (the manufacturing process, tool weight and size, the desired automation and the existing machinery)

• Students can select the appropriate manufacturing process and the associated machine tools

• The students know the physical and technical basics, the operating principle and the structure of lasers, as well as technological details of laser processing methods

Frontal lessons / Table sketches and drawings / Presentations / Computing exercises / Videos

Continuous assessment: Exam

. Outline of manufacturing processes
. Primary shaping, forming, cutting, joining, coating, material property change
. Plastic processing, generative manufacturing processes
. Joining: Press and snap connectors, gluing in the fabrication environment, welding
(particularly arc welding, gas welding, beam welding, resistance welding), soldering
. Material foundations for welding, testing of welded joints
. Cutting: cut up, chipping, wear, thermal cutting, removal process, water jet cutting

• Deeper understanding of the concepts of production engineering, manufacturing engineering, primary shaping, forming, cutting, joining, coating, material property change.

• Advanced understanding of the relationship between the internal structure of materials and the resulting technical material properties and practical applications.

• Application and understanding of the key elements used in engineering, with its areas of operation and the advantages and disadvantages.

Lecture
Term Paper
Scientific review of terms and concepts

Continuous assessment: Final exam 70%, seminar paper 30%

Classification of different materials. Properties an structure of materials. Mechanisms at boundaries, corrosion and corrosive protection. Strength, Shaping, Fatigue, electrical properties. Testing of materials. Steels, Aluminium, alloys, copper, etc.
Plastics, fibre reinforced plastics, paintings and additives.

• The students know the different materials that are used in production facilities. They know their properties and applications and, based on this knowledge, can select the appropriate materials for their products.

• They know the different manufacturing processes that can be carried out with the respective materials. They know the specific requirements in dealing with critical consumables and consumables in production. The students are familiar with the logistics environment for procuring materials for production.

Frontal lessons / Table sketches and drawings / Presentations / Computing exercises / Videos

Final exam

The course gives an overview of the basic concepts of "Rapid Product Development" and its derivatives. In addition, students gain an overview of the most important additive manufacturing processes used in industry. The entire process chain is considered from the idea through the first CAD designs to the finished, finished finished product.

• Basic concepts of Computer-Aided Product Development (CAPD)
• Geometric modeling
• feature-based modeling
• visualization
• Virtual and Augmented Reality
• data exchange
• Information and PDM systems
• Simulation and Virtual Prototyping
•Optimization
• Introduction to rapid prototyping and knowledge-based systems

• The students are familiar with the different methods and methods for the production and processing of materials in the field of rapid manufacturing.

• The students know the different providers of equipment in the field of rapid manufacturing

• Students are familiar with different practice applications and can choose the best practices for their own applications.

Frontal lecture alternates with group work and flipped classroom approaches, preparation and poster presentation of a subject-specific topic by the students.

Continuous assessment: LV-immanent examination (1/3 oral exam, 2/3 written exam)

The course gives an overview of the so-called additive design, the design of components and assemblies for manufacturing by suitable methods of additive manufacturing. With suitable software tools for topology and structure optimization, the handling and execution of complex optimization tasks with regard to bionic design is shown on CAD designs. The solution of a complex optimization task as well as the selection of a suitable manufacturing process are explained.

• Students are familiar with the fundamental benefits of Additive Manufacturing's design freedom in designing next-generation CAD components. Students will be able to use applications for FEM calculation and subsequent topology and structure optimization of additive to manufacturing components, to derive measures from the FEM calculations and to implement improvements in terms of weight and rigidity.

• The students can simulate these components designed by the above-mentioned aids and then verify or validate the simulation results.

Frontal lecture alternates with group work and flipped classroom approaches, preparation and presentation of a subject-specific topic by the students.

Continuous assessment

1. The Perceptron

- Perceptron

- Learning algorithm for the logical AND

- The problem with the logical XOR

2. From Multilayer Perceptron to Neural Network

- Core concepts: activation functions, cost functions, and gradient descent

- Approximating the sine function with a neural network

- Handwritten digit recognition using a multilayer perceptron

3. Convolutional Neural Networks (CNNs)

- Handwritten digit recognition using a CNN

- Binary classification of the Moons dataset using a CNN

- Applying a CNN for tool image classification

4. Recurrent Neural Networks (RNNs)

- Simple Recurrent Neural Network

- Time-series forecasting using an RNN

5. Generative Adversarial Networks (GANs)

- Simple GAN

- Generating a circle or square using a GAN

6. Transformers

- Self-attention mechanism

- Utilizing pre-trained models (e.g., via Hugging Face)

• Students will be able to explain the basic principles of neural networks, including activation functions, cost functions and gradient descent. They are able to apply these concepts to simple problems in order to train models that can perform predictions or classifications.

• Students are able to analyze the differences and application areas of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Adversarial Networks (GANs). They are able to select the most suitable deep learning architecture for a given production problem and implement the corresponding algorithms in Python with the help of standard DL libraries.

• Students will be able to develop and train deep learning models that can be used specifically for quality control tasks in production. They understand how to prepare data, adapt models and evaluate performance to maximize the accuracy of quality inspection.

• Students can explain the core concepts of the Transformer architecture, particularly the self-attention mechanism, and outline its differences from classical sequential models. They are capable of taking first practical steps with Large Language Models (LLMs) by utilizing pre-trained models via standard libraries (such as Hugging Face transformers) to apply and adapt them for simple text processing tasks within a production context, such as error report classification or information extraction.

Lecture with PowerPoint slides. The students develop and solve case studies from the industry on the respective topics with Python. All examples (including the data sets) and solutions (Python-code and graphics) are available via Moodle as a download.

Continuous assessment

The students know about Strategic and Operarational Marketing and sales. The know Subjects like Consumer behaviour, sales strategy and sales processes.

• The students know about Strategic and Operarational Marketing and sales. The know Subjects like Consumer behaviour, sales strategy and sales processes.

Lectures complemented by consumer behavior, market evaluation, sales strategy and sales processes..

Final exam

The main focus of the course is the reading and understanding of scientific texts in a narrowly defined topic as well as literature research and the formal methods of scientific work. In this course the students are prepared to prepare the questions for their final master's thesis in the form of a disposition.
The focus here is on the formulation and character of the research question and the determination of the methodology to be used to solve the problem.

• The students are in the Position to write a Disposition.

Preparation of the disposition of the scientific thesis, discussion, presentation

Continuous assessment

This course provides a comprehensive overview of important management strategies and technologies used in logistics for industrial operations.
This includes milestones in the fields of logistics, main supply chain concepts, basics in material and information flows and their control, product structures and variant management, the role of planning in the manufacturing industry, stock-keeping and warehousing strategies, supply concepts, logistics technologies like storage equipment, conveyor systems and means of transport, material handling and order picking systems, logistical product labelling and packing.

• - know the goals, tasks and significance of logistics in the manufacturing industry and can name these - know the development stages of logistics towards supply chain management and can assign the associated terms - know selected methods of logistics in manufacturing companies and can apply them in specific situations

• can explain how the corporate functions procurement, production, logistics, supply chain management, distribution work together in order to optimally realize a customer-oriented logistics performance - Can name the challenges in the areas of production planning

• can name essential methods or technologies, how the physical material flow can be realized in companies - know the principles of material supply and parts provision such as KANBAN, JIT, JIS and their operative implementation in picking or delivery systems such as the parts supermarket or tugger train - know the basics of warehouse technology or warehouse automation as well as packaging technology

- Interactive inputs and presentations by the professors
- Self-study of defined literature and learning by doing
- Independent execution of case studies and exercises
- Usage of interactive elements during presence times

Final exam

Basics of Modeling
Fundamentals of the simulation of technical systems
differential equations

focus
- Methodology and system of model determination and model treatment
- behavior of technical system (linear and nonlinear)
- Evaluation of technical systems before the availability of a real prototype
- Functional proof by means of simulations
areas:
- Mechanics
- Hydrodynamics
- Biomedicine (spread of diseases)


The different problems will be increased in the course of the lecture in their complexity.

• Use of modern math / simulation software Obtaining knowledge about which problems can be solved by means of simulation (s) in finite time

• Basics of Modeling: Learn different procedures to identify appropriate simulation models Understanding of differential equations and their numerical solution methods Interpret simulation results Derive improvement measures from simulation results Distribution of large systems in subsystems

Frontal lessons / table sketches and drawings / presentations / practical exercises on the PC with modern simulation software / videos

Final exam

Introduction to different methods and techniques of micromachining including an introduction to the associated applications. Use of modular tools for micro forming technique, electrochemical micromachining to produce functional surfaces, micro laser machining, EDM (Electrical Discharge Machining), metrological ratings in micromachining technology, use of smart sensors for the micro machining, fabrication of micro-drilling, micro-milling and laser machining. Internet of things (IoT).

• The Students know the structure of various machine tools, whose main components as well as its interaction.

• The students have experience in analysis and design of complex machines and manufacturing processes. They know the different approaches to increase and improve accuracy.

• They can compile the requirements for such tools and provide appropriate functional specifications to potential suppliers. Students know the different methods for micromachining and its applications.

• They understand the different accuracies in the methods used, and can elaborate on new production concepts, the corresponding methods evaluating the pros and cons and to make a selection.

Lecture, exercises, research of scientific terms, videos.

Continuous assessment: LV-final exam, presentation, attendance and participation.

Methods of

• Problem avoidance with Design for Six Sigma (IDOV)

• Process optimization using Six Sigma (DMAIC)

• Complaint processing via 8D report


Good to know about preparation and execution of audits.
Examples for the practical implementation of quality-relevant topics.

• With the conclusion of the ILV participants have an overview of tools of the systematic approaches to • Avoiding problems with Design for Six Sigma (IDOV) • Process optimization using Six Sigma (DMAIC) • Complaint processing via 8D report and can apply selected tools. In addition, participants receive valuable tips for the preparation of audits as well as practical implementation examples from practice.

The teaching methods include:

• Online teaching on a voluntary basis.

• Group work and presentations under expert guidance.

• Individual preparation for the final test.

The learning methods build on the effect of repetition. Content is processed, processed and reproduced in different ways. In addition, students have the opportunity to select those tools from a pool that they would like to work out in detail. This increases the intrinsic motivation of the students

Continuous assessment: written exam, group work, presentation

Systematics of metallic high-tech materials with a focus on Al, Ti, Ni alloys and refractory metals (with a brief overview of special steels, Mg, Cu, Co alloys and amorphous metals). Strengthening mechanisms and thermal stability. Microstructure and property development through forming techniques such as casting, powder metallurgy, hot forming and cold forming. Overview of ceramic materials and hard metals.

• The lecture deals with "Why" certain materials are used and "How" they can be further improved and optimized. What are the requirements for materials (e.g. in turbine engines) and how can they be improved? Mediation of the structure of metallic and ceramic high-performance materials. Mediation of the important mechanical, thermal and magnetic properties. To teach the most important basics of solidification and powder metallurgy. Teaching the basics of metallic high-tech materials (with a focus on special steels, Al alloys, Ti alloys, Ni alloys, refractory metals, amorphous metals), as well as ceramic materials. The course gives an overview of the variety of materials for the realization of technical products. The properties of materials are essentially determined by their composition, manufacturing process and further processing. Translated with www.DeepL.com/Translator

Interactive lecture with PowerPoint slides including many practical examples. The slide sets are available as a PDF file on the FH internal Moodle platform.

Continuous assessment

- Overview and basics, modern process approaches for laser-based additive manufacturing.

- Photonic sintering of plastics (EOS system) and application

- Photonic exposure of photopolymers (Cubicure, Lithoz)

• Students are able to classify photonic processing methods, select the appropriate method depending on the application, know their advantages and disadvantages.

• Students learn to operate multiple photonic AM systems.

• Insight into the possible applications of laser systems in additive manufacturing. Overview of common processes. Influence of the laser on the material properties of plastics, metals and ceramics. Introduction to underlying physical phenomena such as powder sintering, melting, photopolymerization.

Lecture with PowerPoint slides, installation of case studies from practice as well as from research projects (examples from Selective Laser Sintering, Hot Lithography and Lithography based Ceramic Manufacturing, among others). Students will develop and solve case studies from industry on the respective topics using SolidWorks design software. All material is available for download as a pdf file via Moodle.

Continuous assessment: Project work with three different process-specific component developments.

Classification of materials. Light weight materials, wear resistance, use of materials in production

• The students know different materials which are used in production. They know the properties of the materials and are able to select the right material for a special use

• The students know the different production processes.

Frontal lessons / Table sketches and drawings / Presentations / Computing exercises / Videos

Continuous assessment: lesson, tests possible

Preparation of a project as specified by the supervisor. Automatic work with the already learned tools.

• Students can combine the knowledge acquired in the 2nd semester in the field of FEM, CFD and in topology and structure optimization with the content of Additive Manufacturing and carry out a design and subsequent optimization with an accompanying business case on the basis of a project specification.

Individual support and support of students in the execution of their project work. Individual meeting dates, presentation of project progress before the plenum

Final exam: Essay

The students are accompanied by the graduate seminar in the preparation of the master thesis. Through discussions in groups as well as presentations of parts of the master's thesis, students learn their theses and work, to argue and defend scientifically sound. The results of these discussions, which are controlled by the editors, are incorporated again into the revision of the master thesis and thus contribute to a substantive and scientifically sound scientific work.

• The graduate has sound scientific, theoretical and practical knowledge in the field of master theses as well as knowledge in the preparation of scientific publications

Accompanying the scientific thesis, presentations, discussion.

Final exam: Essay (Seminar paper)

Basics of production planning


Demand Planning Systems: ERP, PPS, APS

Demand Execution Systems: DCS, MES, PIMS, CMMS, APC, RTO

Elements of digitization

• The students have knowledge of the main production control systems and can therefore benefit from it. Derive concepts and actions for their own areas / businesses in the context of digital transformation

Using examples from the paper and pulp industry, the individual systems will be discussed and their core functions will be presented online

Final exam: Written Examination

The content of the course is compiled on the basis of current developments and available expert contributions. Possible topics include intelligent production, Industry 4.0/5.0, additive manufacturing, robotics, digital twins, sustainable production systems, AI-supported manufacturing or applications in medical technology.

Management and strategy aspects - such as innovation management or international perspectives - can also be addressed.

One possible thematic block is dedicated to scanning electron microscopy (SEM) as an analysis technology for quality assurance and material characterization in industrial and medical technology applications.

Not all of the content mentioned is used in every course; rather, the selection and design of the blocks creates a variable, interdisciplinary approach to the topic of high-tech manufacturing.

• Students gain an up-to-date, practical insight into selected technologies, methods and management approaches in high-tech manufacturing. Through thematic blocks designed by experts from industry and research, students get to know different perspectives on the respective subject area and develop an understanding of the relevance of technological developments in various fields of application. In addition, overarching issues such as ethical, strategic or international aspects are addressed.

The course is divided into several thematic blocks, each of which is designed by internal and/or external experts. A block usually comprises 4 or 8 teaching units and deals with a specific topic from the field of high-tech manufacturing.

Different teaching and learning methods are used depending on the content and teacher. These range from specialist lectures and case studies, discussions and practical reports to demonstrations in the laboratory environment - for example using a scanning electron microscope.

The exact methodological implementation varies depending on the topic, focus and available infrastructure.

Final exam: The performance assessment is immanent. Details on the specific implementation are adapted to the respective content and teaching formats depending on the academic year.

1.Basic Principles of Process Engineering

• Characterization of Particles and Disperse Material Systems
• Identification of porous systems and their practical measurement

2.Fluiddynamic Fundamentals

• Hydrostatic and Hydrodynamics (Bernoulli Equation, Continuity, Theory of Similarity, Flow in Pipelines)

3.Size distribution and their practical measurement

• Summary- & Frequency distribution and their significance, sieve analysis, etc.

4.Mixing and conveying technology for solids

• Solid mixing and stirring (mixed quality assessment, separation, sampling, solid mixing method, stirring)

5.Storage & Storage

• 1.Properties of Bulk Solids - (stresses in bulk solids, silo design, segregation, etc.)
• 2. Storage of liquids and gases

6. Process Technology for Solids

• Cutting - (Principles of size reduction, fracture behavior, energy use, crushers, mills)
• Classify - (degree of separation curves, sighting in gravity and centrifugal force field, air classifier)
• Sortieren
• Agglomeration (piece making) - (assembly and press agglomeration)

7.Liquid handling technology

• Pumps - (pump types, selection, control systems for pumps, characteristics, practical application, etc.)

8.Process Technology for Gases & Vapors

• Compressors - (Compressible Media, Compressor Types, Practical Applications)

9.Disperse systems in liquids (separation of solid-liquid systems using different physical parameters)

• 1.Sedimentation
• 2.Flockung
• 3.Flotation
• 4.Hydrocyclones - centrifugation
• 5.Filtration
• 6.Stirring and mixing

• 10. Disperse Systems in Gases - (particle separation from gases - separation of gaseous solid / liquid systems)
• 1.Windsichter
• 2.Zyklone
• 3.Gasfilter
• 4.Elektrofilter
• 5.Wäscher

11. flow in bulk layer - fluidized beds
12. Process Flow Diagrams

• Basic Flow Diagram
• Verfahrensfließbild

R & I scheme

• Introduction in mechanical process engineering on the basis of unit operations. Understanding of basic process unit operations and calculation and design of those units in practical samples.

Presentation using Power Point Slides
Practical calculations of those units and discussion of calculation ways

Final exam: Written final exam with theory questions and practical calculation examples

• Fundamentals: concentration measures, Dalton’s law, gaseous phase, vapor pressure vs. partial pressure, phase equilibria (Henry’s law and Raoult’s law);
• Absorption: principles, applications, column types, graphical balancing, simple preliminary design (mass transfer);
• Adsorption: principles and isotherms, applications, equipment;
• Distillation: principles, different operating modes (continuous, batch, single-stage, multi-stage), special processes (steam distillation, azeotropic separation), equipment, applications;
• Liquid-liquid and solid-liquid extraction: principles and equilibrium, equipment, applications;
• Drying: drying methods, simplified Mollier diagram, simplified calculation of drying air, equipment, applications;
• Chemical engineering – basic concepts: conversion, yield, selectivity, chemical equilibrium, residence time;
• Chemical engineering: influencing factors on chemical reactions, reaction processes, ideal stirred tank reactor and ideal plug flow reactor, reaction equipment;
• Applications of absorption, distillation, extraction, drying, and chemical processes in Austria

• Upon completion of the course, students will be able to • explain fundamental concepts and relationships in thermal and chemical process engineering. • describe the principles of the separation processes absorption, adsorption, distillation, extraction, and drying, and distinguish their typical industrial applications. • perform simple process engineering calculations and graphical balances for absorption and drying processes. • identify different types of process equipment and operating modes and compare their fields of application.

• • explain key parameters of chemical reactions such as conversion, yield, selectivity, equilibrium, and residence time. • describe the influence of key operating parameters on chemical reactions and distinguish between fundamental reactor types (ideal stirred tank reactor and ideal plug flow reactor). • explain typical applications of separation technologies and chemical processes in industrial processes, particularly in Austria. • classify chemical engineering problems in the context of modern digitalized production technologies and recognize interfaces between chemical engineering and innovative manufacturing methods.

Lectures, group work, online teaching videos, asynchronous collaborative online learning using e-tivities according to Gilly Salmon

Final exam: 30% active participation in Moodle forums and 70% final examination

Modeling and Simulation Focus:
- Thermodynamics
- Stateflow tool
- Dynamic Systems
- Electrotechnical systems

- Economy (tax reduction - impact)
- Ecology (climate models, ...)

• Deepening the knowledge of a modern mathematics / simulation software Advanced modeling of complex systems Modular simulation for large systems Apply special solution methods of modern mathematics / simulation software

Frontal lessons / table sketches and drawings / presentations / practical exercises on the PC with modern simulation software / videos

Continuous assessment

- Capacity Management, Variability Basics, Queueing Theory, Simulation

- Creating an awareness for the effects of variability on processes
- Assessing approaches to improve variablity:
> TQM (Total Quality Management),
> OEE (Overall Equipment Effectiveness),
> TPM (Total Productive Maintenance)
- Introduction into simulation software MPX - Quick Response Manufacturing System (Rapid Modeling)
- Operations Management Triangle

- Excel-based tool Supply Chain Emulation:
> Understanding the effects of changes in the production on the corporate income statement
> Executing and analyzing realistic supply shain scenarios

• After successful completion of the module, students are able to define, analyze and measure the performance of business processes with respect to capacity management. They have basic knowledge about variability and queueing theory and are able to position a process in the Operations Management Triangle.

• Furthermore, after completing the module, students should have an understanding about the interdependencies between shop floor level and corporate income statement as well as the interdependencies within the in-house supply chain process. Moreover, the module promotes the exploration and handling of tools for analysis and simulation of the value-adding process.

- Lecture
- Individual work
- Teamwork
- Presentations

Continuous assessment: Classroom participation and In-Class Assignments: 12 Points; Home Assignments: 18 Points, Presentations and discussion: 30 Points, Final exam: 40 points

Introduction to Start Ups and Entrepreneurship

Foundations of Business Administration with a focus on Entrepreneurship and Business Plan

Business Canvas Model

Innovations: Definition

Innovation processes at the example of the Stage Gate model

Our Pre Incubator

Design Thinking

Patents, legal aspects of starting a business

Presentation focusing on pitching techniques

Basics of social media marketing

• The students have basic knowledge of business administration, entrepreneurship and the relevant legal aspects of entrepreneurship and can apply these safely. The students are familiar with different types of companies and have the know-how to create a business plan for a start-up. Furthermore, they know innovation processes in companies and can implement them. You are subsequently able to create presentations and pitches independently.

Presentation with Powerpoint, supported by groups and individual works, final presentation, excursion start-up corner.


Competency assurance is ensured by three experts as reviewers for the different focal points.

Continuous assessment: Ongoing in the context of the course, final presentation, written final exam

Part 1: Digitalization
- Fundamentals and "Industry 4.0"

- Internet of Things: Networking objects, processes and systems across company and national borders

- Big Data, Industrial Cloud

- Use to increase productivity and flexibility in business processes

- Ethical considerations on the "4th Industrial Revolution" - Methods of Artificial Intelligence - Machine Learning - Predictive Maintenance Industrial Revolution"

Part 2: Artificial intelligence
- Artificial intelligence methods

- Machine learning

- Predictive maintenance

Part 3: Knowledge graph
- Basic semantic structures and ontology

- Using a knowledge graph in production companies to increase the efficiency of information flows

Part 4: Discussion of current lighthouse projects in the manufacturing industry

• Graduates have knowledge of the fundamentals of digitalization in order to be able to actively shape the digital transformation in manufacturing companies across company and national borders in an interdisciplinary manner.

• She/he learns about digitalization as an opportunity to increase flexibility and productivity in business processes. The insight and discussion of current lighthouse projects in the industry enables critical reflection on digitalization trends.

Filter method:
- Introduction to the topic: activation and focus on one aspect of the course content
- Input phase
- Discussion and processing phase based on case studies in group or individual exercises
- Presentation of the developed questions by the students
- Discussion or supplementation of the presented content

Continuous assessment: 50% collaboration and elaboration

50% seminar paper (written elaboration and presentation)

Process Management basics:
- process definition
- categorization of processes
- process hierarchy
- roles & responsibilities
- process landscape
- implementation of processes

Process Optimization
- methods & tools for process optimization

• students > know the basics of process management > know the most important improvement methods and are able to use them > know the basics how to set up a process organization

- lecture
- group works

Continuous assessment: Evaluation of group works

Independent processing of a subject relevant subject on a scientific level under the guidance of a supervisor, preparation of the master thesis

• The graduate has sound scientific, theoretical and practical knowledge in the field of master theses as well as knowledge in the preparation of scientific publications

Independent scientific work under the guidance of a supervisor

Final exam: Approval of the Master Thesis (diploma thesis)

This committee examination consists of the exam parts

1. Presentation of the master thesis

2. An examination interview that focuses on the cross-connections of the topic of the Master's thesis the relevant subjects of the curriculum, as well as

3. a test talk about other study-relevant contents together.

( § 16 Abs 2 FHStG)

Oral examine

Final exam

Measurement engineering - Basics, Definitions
Measuring signals
Characterization of measurement signals
Measurement Methods
Measuring devices
Evaluation of measurement results
Error types
Measurement of electrical quantities
Measurement of non-electrical physical quantities

• Understand metrological principles Understand measurement signals and their characterization Get to know different measuring methods Evaluate measurement results for plausibility Rate measurement errors / deviations Know error types of measuring equipment

Lecture, exercises, examples

Continuous assessment: Written exam, presentation

Applying selected test procedures, e.g. Tracking in 3D space,
Determining interference,
Filters or minimizing interferences,
...

• Development of test systems in practice, perform tests in practice

Lecture: Principles for test environment
Practice: Building a test environment, measurements in the lab, analyzing on the computer

Continuous assessment: Work order / collaboration / test protocol

The requirement for maximum customizability of products while simultaneously reducing production costs by using robots and new digital systems form the basis of modern production processes. Small batch sizes and shorter product cycles require a model-based virtual verification, ie a review of real properties through computer simulations. The simulation of general technical systems, be it FEM or CFD analyzes of components or simulations of concrete work processes and handling operations (for example robotics), forms the bridge between the conception and the use of a technical development (verification).

• The students are familiar with the effects of progressive digitization in the field of mechanical engineering on day-to-day operations in technology companies.

• The students are familiar with concepts such as "digital twin", "smart factory" and a "consistently digital value chain". Students can apply simulation methods in the development process and know methods of simulating operational processes. The students know concepts of digital assistance systems (virtual, augmented, mixed reality) to support production processes.

Lecture with Powerpoint-slides, supported by practical examples and integration of results from research projects. Partial group work.

Final exam

Fundamentals of dynamic investment accounting, control by means of common performance indicator systems, differentiation between operative and strategic controlling incl. Div tools and relationships, business analysis, key figures & reporting, costing and activity based costing based on cost accounting tools

Lecture with permanent part of practical exercises, possibly group work.

Examples will be developed during the lecture as well as individually.

Continuous assessment: Lecture with final oral examination, possibly work assignments, cooperation