1. Introduction
   Descriptive and closing statistics
   Statistical indicators
   standardization
   regression analysis
    
2. Exploratory data analysis EDA
   4-plot (sequence plot, lag plot, histogram, QQ plot)
    
3. Main Component Analysis PCA
   From matrix operations to the R function prcomp
   Scores and Loadings
   Biplot and Scree Plot
    
4. Exploratory Factor Analysis EFA
   Number of factors to be extracted
   Interpretation and rotation problem
   factor loadings

Lecture with PowerPoint slides. The students develop and solve case studies from the industry on the respective topics with the software R. All examples (including the data sets) and solutions (R-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

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

Lecturers complemente by group discussions

Continuous assessment: LV continuous assessment and final written examination

Part 1: Management Systems and Business Strategy

• Management systems
• Strategic analysis
• Strategy Development
• Strategy Implementation

Part 2: Integrative Management Systems

•Conditions
• Procedure during construction
• Process Management
• Assessment and improvement of management systems

Part 3: Corporate policy and governance

• Assortment and distribution policy
• Price and decision-making based on cost-accounting approaches of a production company

Personnel policy, management and leadership

Sandwich principle


• Introduction to the topic (activating prior knowledge and linking to other course contents)


• Input phase through lecture part


• Analysis and processing phase based on the elaboration of case studies in the group


• Input phase of the results by the students


• Individual examination of the subject matter on the basis of individual assignments and for exam preparation


Written exam forms the exit from the course

Continuous assessment: 40% written 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)

Combination of theoretical presentation and practical application in SIMCENTER 3D

Continuous assessment

Part 1: Management Systems

• Quality concept
• Selected standards from quality management, environmental management, safety management, risk management

Part 2: Quality tools and methods

•Flow chart
• Process and machine capability
• Value Stream
• FMEA

Part 3: Process improvement programs

• Kaizen, lean production
• Six sigma
• Quality in Process

Part 4: Total Quality Management

• TQM as a corporate strategy

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

Sandwich principle

• Introduction to the topic
• Input phase through lecture part
• Analysis and processing phase based on group exercises
• Input phase of the results by the students
• Individual examination of the subject matter on the basis of individual assignments and for exam preparation

Written exam forms the exit from the course

Final exam: 65% written 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.

Lecture
Term Paper
Scientific review of terms and concepts

Continuous assessment: LV-final exam 50%, Term Paper 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)).

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

Lecture
Term Paper
Scientific review of terms and concepts

Continuous assessment: Final exam 50%, seminar paper 30%, participation 20%

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.

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

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.

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

Continuous assessment

1. Introduction to Machine Learning
Positioning of ML
Big Data - collecting and processing data
Learning processes - supervised and unsupervised

2.Algorithmen
Logistic regression
Support Vector Machine
k-Nearest Neighbors
k-Means algorithm
Random Forest

3.Implementierung
ML development process
Positions in the development of ML
Data Scientist, Data Engineer, Infrastructure Engineer

Lecture with PowerPoint slides. The students develop and solve case studies from the industry on the respective topics with the software R. All examples (including the data sets) and solutions (R-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.

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.

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.

- 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.

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).

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.

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.

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)

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

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.

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.

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

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

Freely selectable content from all courses offered at the FH Campus Wien which are related to digitization, ethics, entrepreneurship and internationalisation. It is also possible to attend courses at other national or international universities, but the students themselves are responsible for the organization and any costs incurred.

Students will receive an introductory lecture on the subject of High Tech Manufacturing. There will be discussed and explained ways of crediting lectures from other courses. The aim is to acquire interdisciplinary and transdisciplinary content - also from other study programs. Particularly in the field of digitization, there are many additional contents from other departments, so software skills, management skills or even social skills up to content from health studies can be considered as creditable courses. The project Formula Student is also suitable as a creditable performance for this lecture. It is a project characterized by the diversity of disciplines, which is worked on jointly by several study programs.

Final exam

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

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

Basics of chemical engineering processes, such as mass and heat balances, equilibria, mass transfer, chemical kinetics. Examples for applications in industry.

lecture, presentations

Final exam: oral or in written form

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

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

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

- 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

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: Digitization

• Fundamentals and "Industry 4.0"
• Internet of Things: networking of 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 "4. Industrial Revolution"

Part 2: Artificial Intelligence

• Methods of Artificial Intelligence
• Machine Learning
• Predictive Maintenance

Part 3: Knowledge Graph

• Semantic basic structures and ontology
• Using a knowledge graph in production plants to increase the efficiency of information flows

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

Sandwich principle


• Introduction to the topic

• Input phase through lecture part and discussion in plenum

• Analysis and processing phase using group exercises and case studies

• Input phase of the results produced by the students

• Individual examination of the subject matter on the basis of individual assignments and for exam preparation

Written exam forms the exit from the course

Final exam: 40% written exam, 40% group work, 20% individual work

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

Process Optimization
- methods & tools for process optimization

- 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

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

Lecture, exercises, examples

Continuous assessment: Written exam, presentation

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

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).

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