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Course Offer Winter Term 2024/25

Courses Business and Management BUM

Business Analytics

This course aims to provide you with key concepts, state of the art tools and practical applications of data analytics to create informative business reports and data visualization.
The focus will be laid on:
→ Data Literacy
Business Intelligence
→ BI-Systems
→ Reporting tools
→ Visual Analytics (SAP Analytics Cloud)
→ Visualization basics
→ Storytelling
→ Basic chart types
→ Interactive charts

Dates
19.11.2024 14:00 - 18:00 Campus Steyr
03.12.2024 14:00 - 18:00 Campus Steyr

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InnoCamp36

This event is a worthy competition where teams of students have 36 hours to come up with a solution to a real-world problem given by a company.
→ Each team is made up of 5 to 10 students with widely differing talents and interests ranging from business and intercultural aspects over sales and marketing to technical knowledge.
→ The teams will get assistance by the companies and the organising committee.
→ At the end of the 36 hours intensive workshops, the teams present their approaches and solutions to a jury in the form of a start-up pitch.
→ Besides grading, the best three teams are awarded by attractive prizes that are sponsored by the company partners.

Fully detailed information on this course/event is provided here.

This course is part of the master degree program GSMM.ma

Dates
Tuesday 22.10.2024 All day
Wednesday 23.10.2024 All day

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Intercultural Management

For an effective strategic and organizational management, the analysis of recent developments and trends within hypercompetitive global arena will be carried out in the classes through text and case studies. Cross cultural management and competitive strategies will be evaluated in the context of global changes, the expanding trade among the geographies, and rapidly growing economies in Asia that require new management applications.

The course will concentrate on topics:
→ Culture, cultural differences, and their boundaries
→ Cultural dimensions and Cultural standards
→ Managing Interdependence „Social Responsibilities and Ethics“
→ Intercultural communication, International Negotiation
→ Teamwork with diverse team members
→ Formulating Strategy in Multicultural Environments
→ Sending employees on foreign assignments “Expatriation”
→ Current issues in intercultural management and potential solutions

Dates
14.10.2024 14:00 - 18:00
21.10.2024 14:00 - 18:00
07.11.2024 14:00 - 18:00
08.11.2024 14:00 - 18:00
18.11.2024 14:00 - 18:00
25.11.2024 14:00 - 18:00

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SAS Business Analytics Specialist Certification

See information and course description here

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Courses General GEN

AI-Enhanced Presentation Design

This course aims to provide you with key concepts, state of the art tools and practical applications of presentation to create appealing business presentations.

→ Design fundamentals for business presentations
→ Basics of visual composition and arranging information
in a visually appealing way.
→ Using media and diagrams to enhance audience engagement.
→ AI powered text-to-picture generation (Adobe Firefly)
→ Introduction to text-to-picture tools and features.
→ Exercises on generating images using Adobe Firefly.
→ Refining generated images to ameliorate their appeal
and relevance to presentation contents

Dates
12.11.2024 14:00 - 18:00 Campus Steyr
26.11.2024 14:00 - 18:00 Campus Steyr
Additional online-meetings by arrangement

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Leadership

This course is designed to provide an overview concerning leadership concepts in order to teach you to challenge and develop your leadership style and behavior with conceptual foundation. By the end of the term you will be able to:
→ distinguish between management behavior and leadership style
→ analyze leadership theories critically and challenge
simple solutions to leadership based on the theoretical framework given
→ understand the implications and consequences of different leadership styles
→ assess the effectiveness of leadership styles based on the development stage of an organization based on the level of managerial requirements
→ understand reasons for resistance to change and have a framework of how to deal with this resistance productively
→ know about the function fundamental leadership tools, such as appraisal, counselling and MbOsystems.

Dates
Monday 04.11.2024 08:00 - 16:15
Thursday 07.11.2024 08:00 - 16:15
Monday 11.11.2024 08:00 - 16:15

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Courses Social Skills SOC

Conflict Management

This seminar aims at achieving tools for handling different kinds of conflicts in different fields of life (living together, different nationalities, working together, etc.). It ranges from cognitive understanding to practical exercises and “field studies” of actual conflicts; the ultimate goal is to know what to do and how to solve / ease a conflict-ridden situation.

The main topics are:
→ Understand the reasons of conflicts.
→ Understand the difference between perception and judgement and the influence of (national, racist etc.) prejudices
→ Raise awareness for different kinds of communication, role of the subconscious
→ Learn about different kinds of conflicts
→ Be able to make a conflict analysis
→ Get to know different models of conflict resolutions
→ Develop strategies of solving / dealing with the conflict
→ Get to know mediation and the role and purpose of a mediator

Dates
Group 1
21.10.2024 08:00 - 16:15
22.10.2024 08:00 - 16:15
23.10.2024 08:00 - 16:15

Group 2
28.10.2024 08:00 - 16:15
29.10.2024 08:00 - 16:15
30.10.2024 08:00 - 16:15

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Courses Informatics INF

Chess Programming

If you are interested in chess and want to program a play by yourself, do not miss this course! You will learn basic concepts such as the Minimax algorithm (applicable in zero-sum games like chess) as well as chess-specific techniques for board representation (data structures), move generation, position evaluation and more.

The course will be focused on the following topics:
→ Introduction (Chess, Chess programming)
→ Data structures
→ Move generation
→ Search strategies
→ Evaluation functions

Dates
01.10.2024 15:30 - 18:00
08.10.2024 15:30 - 18:00
15.10.2024 15:30 - 18:00
22.10.2024 15:30 - 18:00
29.10.2024 15:30 - 18:00
05.11.2024 15:30 - 18:00
12.11.2024 15:30 - 18:00
19.11.2024 15:30 - 18:00
26.11.2024 15:30 - 18:00
02.12.2024 15:30 - 18:00

ANMELDUNG

Heuristic and Evolutionary Algorithms

This course has its focus on heuristic methods (problemspecific methods vs. metaheuristics, construction vs. improvement heuristics, neighborhood and distance of solutions, local search, non-population-based methods, Simulated Annealing, Tabu Search) and population-based methods (Ant-Colony Optimization, Swarm Intelligence, Genetic Algorithms, Evolutionary Strategies, Genetic Programming).

In the exercises the parameterization of algorithms will be trained, analytical as well as empirical analysis of different optimization techniques using HeuristicLab, a generic open source framework for heuristic optimization methods.

This course is part of the master degree program SE.ma

Dates:
04.10.2024 13:00 - 14:35
11.10.2024 08:00 - 11:15
18.10.2024 11:20 - 14:30
25.10.2024 09:40 - 11:15
08.11.2024 12:10 - 15:25
15.11.2024 13:50 - 15:25
22.11.2024 08:00 - 11:15
29.11.2024 13:50 - 15:25
06.12.2024 11:20 - 14:35
13.12.2024 13:00 - 14:35
20.12.2024 08:00 - 11:15
10.01.2025 10:30 - 12:05
17.01.2025 08:00 - 11:15
24.01.2025 10:30 - 12:05

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Introduction to Python Programming

Learn to use Python programming language and get ready to start scripting using PyCharm (IDE) and Jupyter Notebook.

→ Basics (data types, collections, functions, …) in programming
→ OO programming
→ Selected modules (os, re, sys, pandas, random, etc.)
→ Django (web application)
→ Regular expressions in Python
→ Turtle/Graphics in Python

Dates
09.10.2024 14:00 - 15:30
16.10.2024 14:00 - 17:00
30.10.2024 14:00 - 17:00
06.11.2024 14:00 - 17:00
13.11.2024 14:00 - 17:00
20.11.2024 14:00 - 17:00
27.11.2024 14:00 - 17:00
04.12.2024 14:00 - 15:30

THE COURSE IS FULLY BOOKED!

Machine Learning & Data Mining

You will learn basic theoretical aspects of statistical learning theory and Machine Learning, how to perform basic exploratory data analysis, learn how to approach various practical machine learning tasks (e.g. classification, regression) and which algorithms to apply. You will learn general concepts (error/loss function, overfitting, crossvalidation, statistics, bias-variance tradeoff, e.g) and basic visualization techniques for data.

→ Theoretical aspects: Foundations & Theory Optimization; Regression, Classification & Clustering Publications
→ General Concepts: Error Measures Overfitting, Cross Validation Statistics
→ Methods: Linear Models & Regularization Tree Learner
→ Data-based Modeling Regression / Classification k-Nearest Neighbor
→ Practical aspects: Data Visualization & Preprocessing Application, Project work

Dates
14.10.2024 15:30 - 18:00
21.10.2024 15:30 - 18:00
28.10.2024 15:30 - 18:00
04.11.2024 15:30 - 18:00
11.11.2024 15:30 - 18:00
18.11.2024 15:30 - 18:00
25.11.2024 15:30 - 18:00
02.12.2024 15:30 - 18:00
09.12.2024 15:30 - 18:00
16.12.2024 15:30 - 18:00

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Neural Networks and Deep Learning

This course is about the following topics:
→ Basics and overview
→ Simple multi-layer perceptrons and the backpropagation algorithm Deep networks
→ Practical tips and tricks for training neural networks
→ Convolutional neural networks and their application to image classification and object detection
→ Recurrent neural networks and their applications in natural language processing Overview of further topics (e.g., generative adversarial networks)

You will get to know the basic ideas and concepts behind neural networks and will be able to design and train neural networks. You apply deep neural networks and convolutional neural networks to practical tasks and solve practical tasks using various kinds of neural networks in Python using Tensorflow/Keras. You know the basic ideas and concepts behind more sophisticated neural network architectures, such as, recurrent neural networks and generative adversarial networks.

Dates
07.10.2024 13:00 - 15:25
14.10.2024 13:00 - 15:25
21.10.2024 13:00 - 15:25
28.10.2024 13:00 - 15:25
04.11.2024 13:00 - 15:25
11.11.2024 13:00 - 15:25
18.11.2024 13:00 - 15:25
25.11.2024 13:00 - 15:25

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Courses Technics TEC

Battery Technology

You will have an understanding of how electrochemical, electrical, mechanical and thermal storage systems work. You will get to know how to operate a storage system and their integration into comprehensive energy systems.

This course focusses on several types of batteries:
Basics of energy conversion, capacitor batteries, lithium ion batteries, traction and storage batteries (lead, nickel, sodium), high-energy batteries, redox flow batteries

You will learn about the application range of the different battery technologies, system integration, legal framework, funding for battery technologies.

This course is part of the master degree programs AET.ma and SES.ma

Dates
09.10.2024 10:45 - 13:20
16.10.2024 10:45 - 13:20
24.10.2024 08:00 - 10:35
31.10.2024 08:00 - 10:35
06.11.2024 10:45 - 13:20
13.11.2024 08:00 - 10:35
20.11.2024 08:00 - 10:35
27.11.2024 08:00 - 10:35
04.12.2024 08:00 - 10:35
11.12.2024 08:00 - 10:35

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E-Mobility

This course teaches the physical and engineering fundamentals in the field of electromobility. You get to know the main challenges in the integration of electric vehicles into the existing energy system, the influence of legal requirements and the dovetailing with the energy transition. You will learn how to calculate bases for the expansion of electromobility and carry out simulations.

→ This lecture gives an overvew of the following topics: Powertrain technology and e-mobility, conventional and alternative drive systems, strategies for optimizing the powertrain, methods and equipment for storing and supplying electrical energy on vehicles, electric traction drives, vehicle concepts of electric road vehicles, public transport, energy use in e-vehicles, charging infrastructure, integration in residential systems, simultaneity factors

This course is part of the master degree programs AET.ma and SES.ma

Dates
11.10.2024 11:30 - 13:05
18.10.2024 08:00 - 10:30
25.10.2024 08:00 - 12:15
30.10.2024 10:45 - 13:20
08.11.2024 10:40 - 12:15
14.11.2024 12:35 - 14:15
27.11.2024 11:40 - 13:20
06.12.2024 14:05 - 17:25
13.12.2024 10:40 - 13:05

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Formula Student Project

In this course you will gain detailed knowledge of the development, construction, design and manufacture of vehicles and you can implement this in the „Formula Student“ project. You will get to know methods for independently organizing a team and learn how to evaluate the development using business methods of cost accounting.

Main focus:
→ Conception,
→ Design,
→ Development and
→ Construction of a FSAE racing car

The teams of the international Formula Student event series will participate in a global engineering competition along with teams from other universities.

Dates
Online meetings every Wednesday 16:00 - 17:00

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Hydrogen Technology

This course aims to give an understanding of how electrochemical, electrical, mechanical and thermal storage systems work. You know the operation of storage systems and their integration into comprehensive energy systems. You will learn to master the methods for dimensioning storage systems, taking into account generation and energy demand.

Following topics will be part of the course:
→ Available energy resources, chemical fundamentals, hydrogen production, areas of application of hydrogen, hydrogen infrastructure and technology, safety aspects, fundamentals of the fuel cell, areas of application of the fuel cell

This course is part of the master degree programs AET.ma and SES.ma

Dates
03.10.2024 14:25 - 17:00
04.10.2024 08:00 - 10:30
07.11.2024 17:10 - 19:45
08.11.2024 08:00 - 10:30
05.12.2024 14:25 - 17:00
06.12.2024 08:00 - 10:30
12.12.2024 14:25 - 17:00
13.12.2024 08:00 - 18:00
09.01.2025 14:25 - 17:00
10.01.2025 08:00 - 10:30

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Sustainable Design in Medical Engineering

The course aims to raise awareness of sustainability and to provide knowledge and tools for sustainable design, especially in the field of medical engineering. It covers frameworks, such as the sustainable development goals (SDGs) of the U.N. and the EU Green Deal, guidelines and reporting standards, and how these regulatory efforts drive innovation. There is a focus on ecological design and life cycles of medical products, also in the form of an in-class project.
You will gain knowledge in the most important frameworks of sustainability, reporting standards and regulations, as well as ecological design in the medical engineering area. The course provides tools for implementing sustainability in the design and life cycles of medical products.

Dates
Monday 30.09.2024 15:30 - 18:45
Monday 07.10.2024 15:30 - 18:45
Monday 14.10.2024 15:30 - 18:45
Monday 28.10.2024 15:30 - 18:45

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