Cancelled for this year (2019):

Study
Embedded Mobile Systems
and visit Germany

isu-grossOstfalia University of Applied Sciences in Wolfenbuettel, Germany, invites you to the International Summer University.
Meet german and international students, study
" Embedded Mobile Systems "
and visit Germany.

Excursions will take you to Volkswagen headquarters in Wolfsburg and to Berlin capital, for example. Learn about German language and culture . 

Facts in brief

  • Location: Ostfalia University of Applied Sciences
    Department of Computer Science
    Wolfenbuettel, Germany
  • Date: May 19th - June 1st, 2019
  • Course fees: 450 €, including accommodation, breakfast, lunch and excursions
  • Registration :
    until February 25th, 2019
  • Credited jointly with 5 CP (EU)

Courses and Schedule

Autonomous driving & ethics

Cover ISU 2019

May 19th - June 1st, 2019

In this course, you will learn about how self-driving cars work and you will take a crack at your very first autonomous vehicle project - finding lane lines on the road!

Basics of computer-aided image processing

(Prof. Quevedo, UWP)

During this course the participants will be taught the basic functionalities of the programming language python. Based on the application of computer-aided image processing, the participants gain in-depth knowledge in dealing with image information and its evaluation. This basic knowledge serves as a link to the lecture "Introduction to autonomous driving & ethics".

Introduction to autonomous driving & ethics

(Prof. Kreyssig, Ostfalia)

During the lab sessions participants can apply their acquired knowledge in practice and design their own autonomous vehicle. The lecture will teach disciplines such as a fusion of sensor data, localization, path planning, control, and system integration.

Detailed schedule coming soon.

Excursions

Berlin and Potsdam

  • Sight Seeing tour Berlin
  • Potsdam

Braunschweig

  • Town walk
    e.g. birth place of Carl-Friedrich Gauss

Wolfenbuettel

  • Town walk
  • Duke August Library

Wolfsburg

  • Autostadt
  • Factory Tour Volkswagen AG
    128 years ago German pioneers invented the automobile. Today Europe's largest car manufacturer Volkswagen is located in the region of Braunschweig/Wolfenbuettel in Wolfsburg. Meet workers and engineers at the assembly lines and inspect the latest models of Volkswagen.

Bremerhaven

  • German Emigration Center

-----------------------

Links

Autostadt:
http://www.autostadt.de/en/start/

Braunschweig

Volkswagen Factory Wolfsburg:
http://www.volkswagen.de/de/erleben/Werkbesichtigung/wolfsburg.html

Wolfenbüttel

 

German culture and language

brandenburgertor

Visit Germany and get an insight into German history, culture and language.

The region Braunschweig/Wolfenbuettel will lead you back to the Middle Ages, and in Berlin, Germany's capital, you will come in touch with the former border line between East and West. In Potsdam you can feel the glory of Prussian Kingdom.

Language

  • German Language, History and Culture (Course GL; see schedule)

Culture

  • Berlin, German capital, City tour, Reichstag - Parliament Building, Chancellory, Former line of the Iron Curtain
  • Potsdam: Sanssouci: former summer palace of Frederick the Great

-------------------------

Links

Berlin:
http://www.berlin.de/orte/sehenswuerdigkeiten/

Potsdam:
http://www.potsdamtourismus.de/potsdam-erleben/sehenswertes.html

 

Directions

Wolfenbuettel

The city of Wolfenbuettel (Wolfenbüttel) is located in the southeast of Lower-Saxony (Niedersachsen), a state in the north of Germany. Nearby bigger cities are Brunswick (Braunschweig), 10 miles north, and Hanover (Hannover), 40 miles west of Wolfenbuettel, with an international airport.

AmExer2_2016

Address for visitors

Ostfalia University of Applied Sciences
Department of Computer Science
Am Exer 2
38302 Wolfenbüttel
Germany

Ostfalia on Google-Maps

 

Contact

Want to stay longer?

ISU-History

2018

Mobile Integrated Systems for Environmental Monitoring

2018_ISU-cover-bioremediation

July 30th – August 11th, 2018

Waste from industrialization and urbanization increasingly create a source of pollution in terrestric and aquatic systems leading to land and water pollution and lake eutrophication. In order to monitor water quality, eutrophication and harmful algal blooms a smartphone app is developed and equipped with additional service features.

Part 1: ISU 2018 at Ostfalia, Wolfenbüttel:

Water Monitoring and Bioremediation Concepts (ES I / II)

(Prof. Skalbeck (UWP); Dr. Sander (Ostfalia))

Participants in will get acquainted with techniques to collect and evaluate data sets under field conditions in order to evaluate and predict eutrophication status in lake waters. They will get aquainted with bioremediation concepts and the role of monitoring options.

Mobile – Cloud Integrated Systems (Course CS I / II)

(Prof. Altahad (UWP); Prof. Weimar (Ostfalia))

Participants will enhance an existing mobile application with cloud functionality and data analysis capabilities. In lectures the context will be prepared, and in lab sessions with hands-on project work, participants will develop tools for cloud storage, data mining, and statistical analysis of the app data as a service to environmental institutions for acontinuous monitoring of different lake regions.

This ISU is part of a two series ISU offer in 2018.

ISU Part 2 will be hosted by University of Wisconsin at Parkside, Wi, USA, in 13th – 26th of August 2018.

Flyer 2018

Poster 2018

2017

Mobile Integrated Systems for Environmental Monitoring

2017_ISU-cover-bioremediation

July 30th – August 12th, 2017

Waste from industrialization and urbanization increasingly create a source of pollution in terrestric and aquatic systems leading to land and water pollution and lake eutrophication. In order to monitor water quality, eutrophication and harmful algal blooms a smartphone app is developed and equipped with additional service features.

ISU 2017: Part 1 at Ostfalia, Wolfenbüttel:

Water Monitoring and Bioremediation Concepts (ES I / II)

(Prof. Preuss/ Prof. Skalbeck (UWP); Dr. Sander (Ostfalia))

Participants in will get acquainted with techniques to collect and evaluate data sets under field conditions in order to evaluate and predict eutrophication status in lake waters. They will get aquainted with bioremediation concepts and the role of monitoring options.

Mobile – Cloud Integrated Systems (Course CS I / II)

(Prof. Quevedo (UWP); Prof. Weimar (Ostfalia))

Participants will enhance an existing mobile application with cloud functionality and data analysis capabilities. In lectures the context will be prepared, and in lab sessions with hands-on project work, participants will develop tools for cloud storage, data mining, and statistical analysis of the app data as a service to environmental institutions for acontinuous monitoring of different lake regions.

This ISU is part of a two series ISU offer in 2017.

ISU Part 2 will be hosted by University of Wisconsin at Parkside, Wi, USA, in 13th – 26th of August 2017.

Flyer 2017 - Germany

Poster 2017

Schedule 2017

Flyer 2017 - USA

2016

Bioremediation and Modeling,
Robotics / Automated Sampling

2016_ISU-cover-bioremediation

May 16th - May 27th, 2016

Bioremediation concepts are becoming increasingly important as industrial wastes from industrialization, urbanization, use of pesticides, fertilizer and mining of metals create a source of pollution in terrestrial and aquatic systems leading to land and water pollution and lake eutrophication. Two courses are offered jointly by the University of Wisconsin-Parkside and Ostfalia University of Applied Sciences:

Biosystem Behaviour: Microalgae (Course ES I / II)

Dr. Sander (Ostfalia), Prof Preuss / Prof. Skalbeck (UWP)

The course will provide an overview on typical microorganism behaviour, environmental needs and culture development, techniques to collect and evaluate data sets, geosystems. The course includes a hands-on lab session where examples of data collection techniques will lead to a better understanding of robotic requirements for data collection and difficulties in collecting and evaluating data sets for modelling approaches.

Robotics and Biosystem Modeling (Course CS I / II)

Prof. Gerndt (Ostfalia), Prof. Riley (UWP)

A course on biosystem modelling and application in smartphone app will be provided including a computer lab experience where algorithms taught in class can be applied to real-world data sets in order to better understand the advantages and drawbacks of different approaches. Subject of smartphone app: prediction of HABs (Harmful Algal Blooms) in eutrophic environments.

The course will also get involved with robotics in environmental engineering. Participants will get acquainted with robotics in environmental measurement techniques in a hands-on approach.

Flyer 2016

Poster 2016

Schedule 2016

2015

Apps connect the world

2015_die_welt_vernetzt

May 17 – May 30, 2015

Mobile devices and apps programming are pervasive in modern societies. They shape how we communicate, work and learn. They enable new ways to scan and share information, and to control our environment by means of so-called „smart environments“. Further, they are effective sensors to collect field data in numerous innovative ways.

Mobile Interactive App Programming (Lecture / Lab I)

(Dr. Ubaldo Quevedo, University of Wisconsin-Parkside)

This course examines current web framework technologies available to develop highly responsive mobile app applications. Students will study JavaScript and HTML5-based applications that can be accessed from any web or mobile device platform. Students will develop Apps that include user interface interactions such as draggable, droppable, resizable or sortable.

Ambient Computing & Applications (Lecture / Lab III)

(Prof. Dr. N. Jensen, Ostfalia University of Applied Sciences)

The „in-a-nutshell“ lecture comprises two parts:
1) So-called smart environments are ubiquitious elements of modern infrastructures. The first part gives examples of such environments, e.g. smart meters, building automation, and car control assistance.
2) Some of the technology behind these use cases is built on web technology. The second part of this lecture gives an introduction to relevant HTML5 web standards to implement such web technology. Specifically, we will build a small web app to control a (simplified) ambient computing / smart environment.

Some basic knowledge of programming, e.g. Java, is required to follow part 2 of this lecture / lab III. Part 1 of it is open to everyone.

Flyer 2015

Poster 2015

Schedule 2015

Foto Copyright: 2011 Kerstin Bräuer, Yvonne Bernhardt

2014

Robotics and Biosystems Modelling

2014_algen

May 19 – May 30, 2014

Robotics and modelling of biosystems are becoming increasingly important in collecting and evaluating data sets for optimization aspects in production and predictions of system behaviour. Two courses are offered:

Robotics and Biosystems Modelling (Course CS I / II)

(Asst. Prof. Ph. D. D. Riley, University of Wisconsin-Parkside and Prof. Dr.-Ing. R. Gerndt, Ostfalia University of Applied Sciences)

A course on biosystems modelling will be provided including a computer lab experience where algorithms taught in class can be applied to real-world data sets in order to better understand the advantages and drawbacks of different approaches. The course will also get involved with robotics in environmental engineering. Participants will get acquainted with robotics in environmental measurement techniques in a hands-on approach.

Biosystem Behaviour: Microalgae (Course ES I / II)

(Dr. H. Sander, Ostfalia University of Applied Sciences, Prof. Dr. J. Skalbeck and Prof. Dr. F. Preuss University of Wisconsin-Parkside)

The course will provide an overview on typical microorganism behaviour, environmental needs and culture development, techniques to collect and evaluate data sets, geosystems. The course includes a hands-on lab session where examples of data collection techniques will lead to a better understanding of robotic requirements for data collection and difficulties in collecting and evaluating data sets for modelling approaches.

Flyer 2014

Poster 2014

Schedule 2014

2013

Knowledge Mining

2013_neuron May 21 – May 31, 2013

Studying how to gain knowledge from a huge amount of data. Knowledge mining can be defined as an iterative process of extracting information and its relationships from data collections e.g. for predicting customer behaviour or for improving new products. Two courses are offered:

Knowledge Discovery (Course CS I)

(Prof. Dr. J. U. Quevedo, University of Wisconsin-Parkside)

This course is an introduction to Knowledge discovery in both databases and unstructured documents. Participants will discover patterns in data sets using a common association rule mining method. Additionally, participants will propose methods for solving queries from unstructured documents based on text retrieval and natural language processing concepts. Finally, students will develop some software for deductive database applications.

Data Mining (Course CS II)

(Prof. Dr. F. Klawonn, Ostfalia University of Applied Sciences)

This course will provide an overview on
- typical types of problems and data encountered in data mining,
- the basic algorithms to solve these problems,
- techniques to evaluate the validity of the data analysis results and
- the relation of data mining to classical statistical approaches.
The course includes a hands-on computer lab where the algorithms taught in the class can be applied to realworld data sets to better understand the principles and pitfalls of the different approaches.

Flyer 2013

Poster 2013

Schedule 2013

Foto copyright: Nicolas Rougier, 2005

2012

Information Security

2012_i-security

May 21 – June 1, 2012

Protecting information from unauthorized access, use, disclosure, disruption, modification, recording or destruction is a central task in companies. Get an introduction to knowledge and protecting concepts in information security and learn how to apply them for best IT security. Three courses are offered:

Network Security (Course CS I)

(Charles Lim, M. Sc., Swiss German University)

The course introduces fundamental issues and concepts of network security, and the mainstream network security technologies and protocols that are widely used in the real world. It surveys cryptographic tools used to provide security and also covers how these tools are utilized in the internet protocols and applications. System security issues, such as viruses, intrusion, and firewalls, will also be covered.

Information Systems Security (Course CS II)

(Prof. Dr. Susan Lincke, University of Wisconsin-Parkside)

This course considers how to plan security from a business perspective. How much security does a company need? How much should be spent to implement it? How should the security be planned? These questions will be answered using a case study of a Doctor's office.

Web Security (Course CS III)

(Prof. Dr. Ina Schiering & Prof. Dr. Ulrich Klages, Ostfalia)

User tracking, web analytics, behavioral targeting, tools to enhance user control, web browser and server vulnerabilities and a survey of commercial security solutions will be considered in this course.

Flyer 2012

Poster 2012

Schedule 2012

2011

Autonomous Smart Vehicles

2011_autonomous_car

May 16 – 27, 2011

An autonomous ground vehicle is somehow the dream of the near future. A vehicle that navigates and drives entirely on its own with no human driver and no remote control. Get an introduction to knowledge representation and intelligent methods, and learn how to apply them in autonomous systems. Two courses are offered:

Programming Autonomous Systems (Course CS I)

(Prof. Dr. G. Bikker, Ostfalia)

An autonomous vehicle navigates and drives entirely on its own. Through the use of various sensors and positioning systems, the vehicle determines all the characteristics of its environment required to enable it to carry out the task it has been assigned. In order to handle it for students we work with a 1:10 scale car. A main point is to develop the software for the electrical controlled units, called ECUs. A methodology that supports the development of embedded systems is the Model based development. Main idea of the course is to use an off the shelf Modeling Tool and do the code generation for the embedded system. We will do it hands on for a little project example: Modeling Tool, Development Environment and Micro-Controller Hardware.


Artificial Intelligence Programming (Course CS II)

(Prof. Dr. U. Quevedo, UWP)

This course is an introduction to Artificial Intelligence concepts such as machine vision, planning, problem solving and search. Students will develop software for object recognition using image processing, morphological operators and Matlab. Additionally, students will use the logic programming language Prolog for problem solving techniques and planning in Artificial Intelligence.

Flyer 2011

Poster 2011

Schedule 2011

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