Shape Digital Change

Become Part of the Megatrend

Faculty AI.

Computer Science

There are two megatrends in the broad field of digitalisation: artificial intelligence and the security of digital systems.  Courses in computer science offer great potential on the future job market, e.g. to contain potential dangers arising from the use of digital processes, as in the "Cyber Security" course of study, or a Bachelor's degree with the title "Artificial Intelligence", which stands out among German courses of study. But even with tried and tested courses of study such as Applied Computer Science, Business Informatics or Internet of Things, students can choose from countless career opportunities and help shape digital change.

Prof. Dr.-Ing. Udo Garmann, Faculty Dean

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Staff in our workshops and science labs are enthusiastic about what they do and are passionate about technology, true to the principle: "If you want to build a ship, don't drum up men to get wood, assign tasks and divide the work, but teach them to crave for the wide, endless sea." (Antoine de Saint-Exupéry)

 

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In February, the Deggendorf Institute of Technology (DIT) became a member of the Sicherheitsnetzwerk München e.V. The reason for this is not just information security. It is also about networking, design and maximum competitiveness in the future.

“Nowadays, data security is an indispensable factor in protecting institutions as well as companies against the countless digital threats,” says Prof Dr Helena Liebelt, Head of IT at DIT: “However, it’s about more than that,” Liebelt adds. Cyber security means competitiveness. But in order to be successful in a digital future, networking and cooperation are other important cornerstones of the strategic orientation.

Numerous well-known companies such as Airbus, Audi, Intel, Siemens and Huawei are members of the Munich Security Network. But also teaching and research institutions. For example, the Technical University of Munich, the University of the Federal Armed Forces and Fraunhofer AISEC. “For us, this is a wonderful opportunity to keep an eye on scientific developments on the one hand, but also on the latest state of industrial technology on the other,” says Prof Liebelt. Together with important industry giants and other outstanding research institutions, DIT wants to actively shape further development in the field of cyber security. Not least, a new technology campus on this topic is currently being built in Vilshofen. Liebelt cites as a special privilege of membership in the Munich Security Network the opportunity to participate in the annual “Munich Cyber Security Conference” (MCSC), which always takes place one day before the Munich Security Conference: “This is a real fixture in the cyber security industry.” DIT will be there in the future.

Further information: https://it-security-munich.net

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One reason why more companies have not yet fully switched to electric mobility or do not offer charging stations is the concern about significant additional costs in terms of electricity consumption. Companies usually have a contractually agreed annual maximum load. If this is exceeded, depending on the size of the company, surcharges of up to several hundred thousand euros on the unforeseen load peak can be the result. The parking and charging management system “SmiLE” will soon provide a solution to this problem. Scientists at the Deggendorf Institute of Technology (DIT) are developing the system.

Prof Dr Andreas Berl is responsible for the project and knows the explosive nature of the topic. The problem for companies is uncontrolled charging. The feared additional costs caused by peak electricity consumption are quickly reached. A load peak is when the average energy consumption in an interval of 15 minutes exceeds the maximum contractually agreed upon with the electricity provider. There are many reasons why a load peak occurs. According to Prof Berl, this is the case when charging processes are started immediately with maximum power and batteries are unnecessarily “fully” charged. When charging processes are unscheduled, without enquiring about the next use of the vehicle. Or if the charging processes are not coordinated with the rest of the company’s energy system (e.g. load management).

In order to solve these problems, the research group led by Prof Berl is developing the SmiLE parking and charging management system. The goal is to bring more companies to e-mobility. The system is connected to the company’s existing energy system. SmiLE also makes it possible to reserve a parking or charging option so that the e-vehicles are charged according to the reservation details. In addition, a company’s own vehicle fleet can be integrated into the charging management. With the help of AI-supported forecasting methods, the charging processes can be planned in such a way that no expensive peak loads occur. To this end, DIT is developing and implementing algorithms for optimal charge planning and forecasting models. In addition, the charging planning is to be optimised according to the entrepreneurial goals. Exampled of this are the maximum use of renewable energies, the extension of the service life of vehicle batteries and stationary energy storage or the minimisation of charging costs.

To identify the respective requirements, the many years of experience of E-WALD GmbH, one of the largest German charging infrastructure operators, and eeMobility GmbH, which operates charging infrastructure for companies throughout Germany, are of great importance. Seamless communication between the respective system components and in particular the connection between the SmiLE system and the charging stations is the focus of eeMobility GmbH in the project. The SmiLE project (No. AZ-1405-19) is funded by the Bavarian Research Foundation. The project started in May 2020 and ends in 2023.

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The Deggendorf Institute of Technology (DIT) has maintained a partnership with Politehnica University Bucharest in Romania since 2012. The partnership came about through Erasmus+, a European Union programme for education, youth and sport. DIT staff member Monica Ciolacu has now completed the first cooperative doctorate with Politehnica Bucharest University and DIT.

Her dissertation "An adaptive framework for computer-based learning technology" deals with the use of artificial intelligence in teaching. Adaptive and personalised learning is to promote student performance. In addition, lecturers are to be relieved of routine work. She defended her doctoral thesis before Prof. Dr. h.c. Ing Paul Svasta (UPB), Prof. Dr. Cezar Ionescu (THD), Prof. Dr. h.c. Ing Dan Stoichescu (UPB) and Prof. Dr Ing Alexandru Serbanescu (Military Technical Academy Bucharest). The results of their work have already attracted attention at several conferences. In April, the next conference will take place virtually: the Global Engineering Education Conference, organised by the FH Kärnten and the Vienna-based FH Technikum. The theme is "Women in Engineering".

Doctoral students and those interested in doing a doctorate are advised and supported at DIT’s Graduate Centre. The International Office provides advice on the opportunities offered by the Erasmus+ programme, which, in addition to study and internship stays for students, also enables doctorates or the mobility of university staff.

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The computer scientists at the Deggendorf Institute of Technology (DIT) are gaining another professor. Dr Phillipp Torkler will take over the professorship for Bioinformatics and Data Analysis at DIT in the summer semester of 2021. As a member of the university’s youngest faculty, he will teach in the “Life Science Informatics” degree programme. Professionally, he has been involved in the development of molecular diagnostic tests for personalised therapies for cancer and other serious diseases.

Phillipp Torkler could be described as a bioinformatician through and through. From his bachelor’s degree to his doctorate, his academic training was focused on this field. He explains that one goal of bioinformatics is to develop methods and software for analysing and managing high-dimensional, biological data so that it can be used at all. Biomarkers, for example, can be used for the early detection of cancer. He himself researched an early detection test for prostate cancer for a young US start-up, with success. A large biotechnology company became aware of the start-up and took it over in the summer of 2018.

The next step for Phillipp Torkler is now the professorship in Deggendorf. Curiosity and the conviction that research and development make life better, is what makes him pursue his passion. He chose DIT because it is a steadily growing university that is gradually developing attractive and modern fields of study and is a major driving force for the entire region. At DIT, he has the exciting challenge of being able to help shape the fairly new degree programme “Life Science Informatics” at an early stage and thus lay the foundation for the specialisations bioinformatics and data analysis in the field of life science and biotechnology as part of the team.

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Stefanie Beck is Managing Director at the management consultancy Fuhrmann Leadership in Karlsruhe. She is doing her Bachelor’s degree in Artificial Intelligence (AI) at the Deggendorf Institute of Technology (DIT) while working. Together with fellow students Johannes Artmeier, Lucas Fobian and Andreas Neuhierl, Beck has now developed an AI that recognises in a video stream in real time whether a person is wearing a mask or not. The research field in which Beck is working is highly regarded. It is called “computer vision”.

DIT students summarise their project as follows: “Face masks are not only necessary in pandemic situations, but above all in everyday professional life. In industry or medicine, for example. Our application ensures that the prescribed mask is worn when entering a protected space.” Such project work offers students at DIT the opportunity to apply their knowledge to practical examples. Graduates in the field of AI are highly sought after by companies. This is particularly true for the field of “image understanding”, as “computer vision” is also known. It enables computers to automatically recognise correlations in images and videos and draw appropriate conclusions. Other examples of such applications are optical inspections in manufacturing processes, object recognition in autonomous vehicles or smartphone apps that recognise faces in photos.

Since October 2020, DIT has been offering the new course “Computer Vision”, thus preparing its students for a corresponding professional career. “In the first third, our course offers an intensive introduction to the most important and, above all, practically relevant basics of the subject area,” says lecturer Prof Dr Patrick Glauner. The AI expert also explains how DIT sets itself apart from other regional and national course offerings: “I looked at what course content top international universities like the Massachusetts Institute of Technology (MIT), Stanford or Imperial College London teach.” Glauner has integrated similar content into the DIT course. At the same level and presented in an understandable way. “Even at the top institutes, in the end they only boil with water,” says the DIT professor, who is himself an alumnus of Imperial College London.

Pure theoreticians, however, are hardly in demand on the job market. What is needed is expertise in the practical implementation of image understanding applications. That’s why the students spend the rest of the semester working in groups on projects of their own choosing and applying the knowledge they have acquired in a concrete way. “Very extensive and high-quality results have emerged, which clearly show how excellently our students are positioned in international comparison,” Prof Glauner proudly reports.

In addition to Beck’s results, Glauner points to another example. Course participants Patrick Gawron and Achot Terterian developed a coin counter together. Based on a mobile phone photo, it calculates the amount of money in the purse or piggy bank that has just been emptied. “In the process, we learned how to segment coins and other objects from photos and recognise them using a neural network,” Gawron and Terterian report.

DIT has been offering Germany’s first Bachelor’s degree programme in “Artificial Intelligence” for two years. The first cohort will graduate in summer 2021. Interested students can also attend selected AI lectures and get a taste of university life at DIT again from March 2021 as part of the early study programme. If you have any questions about image understanding, AI and the degree programme, Prof Glauner can also be contacted directly at patrick.glauner@th-deg.de or +49 991 3615-453 at any time.

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How does learning go digital and with the help of artificial intelligence (AI)? Dr Christina Bauer, new professor at the Deggendorf Institute of Technology (DIT), knows the answer. As a specialist for Artificial Intelligence and Digital Teaching, she will develop and evaluate digital learning environments that react intelligently to users.

In recent months, digital teaching has suddenly moved into the spotlight thanks to Corona. This is an opportunity for society to continue dealing with it now, if Christina Bauer has her way. The AI and also digital teaching could support here! For example, one could provide the broad masses with simple information on socially important topics and individualise it. With regard to teaching, courses with the help of artificial intelligence can be much better tailored to the needs of learners. Either to supplement classroom teaching or to offer courses completely digitally. DIT will take this step in the long run. To this end, Christina Bauer will test, research and teach the use of artificial intelligence in digital teaching. Intelligent learning environments will be designed and investigated, e.g. in the form of intelligent tutorial systems or assessment systems. She has already set herself the goal of firmly anchoring digital teaching at DIT even after Corona: “And this as an important supplement to presence teaching, so-called blended learning.

Christina Bauer gained her experience primarily at the University of Regensburg. During her doctorate and later in projects as well as in teaching and as coordinator of the newly introduced Master’s programme Digital Humanities. She herself studied information science. In Deggendorf, she will work as a lecturer primarily at the Faculty of Applied Computer Science. In teaching, it is important to her to work in a structured way. She also likes to encourage and support students with her own ideas. She hopes to find like-minded people among the scientists when it comes to sharing knowledge. In her spare time, the young professor is involved in Scientists for Future. Scientists actively contribute the current state of their research field in a comprehensible form to the social debate on sustainability and securing the future.

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On 21 October, the joint Business Information Technology Symposium of the Deggendorf Institute of Technology (DIT) and the OTH Regensburg will take place as an online event. The event with the focus on “Process Analytics” will be organised by the professors Dr Stephan Scheuerer (DIT) and Dr-Ing Frank Herrmann (OTH).

In accordance with the motto “from practice and science for practice”, speakers from renowned companies will give relevant specialist lectures. The topics will be “Production planning in the factory of the future” (The Boston Consulting Group GmbH), “Data-driven digitalisation of customer processes” (Conrad SE), “Optimisation of the allocation of tool magazines” (Siemens AG) and “Minimisation of set-up times through the use of simulation and optimisation (Maschinenfabrik Reinhausen GmbH). Participation in the event is free of charge, but formal registration is required. Further information is available at www.oth-regensburg.de/digitalisierung.

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Almost every day we hear about new breakthroughs in research and development on artificial intelligence (AI). The exciting question is and remains, however, what about their implementation in companies? A four-day block event was held for the first time in September 2020 at the Deggendorf Institute of Technology (DIT). The students first learned about the basics of AI innovation management and then tested in case studies the identification of AI potential and the introduction of AI in companies. This course is probably unique, not only in Germany. It was led by Prof Dr Patrick Glauner.

Various studies conclude that currently about 80 percent of AI developments in companies do not yet create financial value or do not lead to marketable product or services. “There are many reasons for this,” explains Glauner. “One of the reasons is that classical AI teaching often only deals with purely technical aspects and ignores business management aspects”. The AI bachelor’s programme at DIT therefore offers a globally unique course on “AI Innovation Management” in addition to numerous technical courses. “By this we close this gap. We teach students what the typical challenges in companies are when introducing AI and how these challenges can be solved,” reports Glauner.

Course participant Ursula Pähler was impressed: “The course allowed me to draw parallels and differences to classical innovation management in other areas. This made me aware of the existing challenges, especially when introducing AI”. Ralf Minge, who is studying part-time, now feels much better equipped for the value-added implementation of AI in companies: “This course very impressively closes the gap between academic research on AI and its effective application in companies. I can now start directly with the value-adding implementation of AI”.

Since last year, DIT has been offering the Bachelor’s programme “Artificial Intelligence”. In October 2020, around 90 more young people will begin their studies. If you have any questions on topics related to innovation and AI, Prof Glauner can also be contacted directly at patrick.glauner@th-deg.de at any time.

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The Deggendorf Institute of Technology (DIT) has been intensively promoting the use of digital teaching for years before the corona pandemic. This commitment has now been rewarded with a grant of € 182,000 for DIT projects from the Virtual University of Bavaria (vhb). 

The digital courses offered via the SMART vhb platform gained in importance due to the cancellation of classroom teaching this summer semester. DIT already offers 28 vhb courses online, which were used by other universities of applied sciences, especially during the corona semester, and were applied in teaching. The notification of the vhb's support of € 182,000, which corresponds to 20% of the total funding of the latest SMART vhb funding round, will further expand DIT's digital teaching. Over the coming months, a total of ten courses will be developed and, from the 2021/2022 winter semester onwards, will be made available via the SMART vhb platform. The online courses range from the introduction to programming with Python, Java programming, programming concepts, computer science concepts, hardware design, foundations of informatics, AI applications and logic in artificial intelligence to engineering mechanics, dynamics and risk management. The development of these new SMART vhb projects is organised by Prof Dr Dr Heribert Popp, vhb representative of the unversity and project manager Dr-Ing Monica Ciolacu.

At DIT, the vhb representative, Prof Popp, has been substituting 50% of teaching in all his modules with digital teaching for 13 years now. In his digital course, he tested artificial intelligence (AI) methods by which digital teaching materials adapt to the level of knowledge of the students at the beginning of the course. Popp also uses an AI-based early warning system in his vhb courses, which sends a warning e-mail to students at risk. As a result, the failure rate could be almost halved.

The SMART vhb platform manages online learning units that can be flexibly integrated into the students' own teaching. These digital learning units start with the learning goals and are composed of different materials such as videos, text elements, self-tests or simulations.

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What exactly is Artificial Intelligence, also known as AI? In which way does AI influence our future, in Lower Bavaria, in the Bavarian Forest, or maybe even in Deggendorf. Prof Patrick Glauner from the Deggendorf Institute of Technology (DIT) can tell us more about it. 

Scientists found out, primal fears are connected to AI: surveillance, enslavement, loss of uniqueness/exceptionalism, as well as the end of free will. "Exaggerated", that's what Prof Glauner calls it, when you're talking about the end of free will, just because people follow the algorithms through internet or media ads. People will not be replaced by robots in the near future. But somehow, artificial intelligence seems to have escaped from blockbuster movies, like the genie from the bottle. The movies that gave us goosbumpbs: The Matrix, Minority Report or the Fritz Lang classic Metropolis from 1927 - one of the most important pieces in film art history.

"We've been able to use AI for pattern recognition in radiological diagnostics. A great enrichment for our healthcare in oncology," said Glauner, referring to a prime example of beneficial AI developments. In addition to a whole range of other applications already available today, artificial intelligence could certainly one day include all the useful connections between the unmanageable scientific disciplines and make them visible and usable again. The polymath from antiquity no longer exists. What does a virologist even know about AI, what does a computer scientist know about viruses? Certainly not enough. And those who don't know anything must believe everything. The data is here. More than enough, big data in fact. And big data is the food for meaningful AI.

Patrick Glauner has been a professor for artificial intelligence since the age of 30. Previously, he worked at the European Organization for Nuclear Research (CERN) in Geneva and at Krones AG, among others. He has been working on artificial intelligence for ten years, most recently in particular on AI innovation management. In spring 2020 he published a book on this subject in cooperation with the Springer-Verlag: "Innovative Technologies for Market Leadership: Investing in the Future". 

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20191217 berufung prof hableHochschule baut Fachbereich Künstliche Intelligenz aus
Neuer Professor berufen

17.12.2019 | THD-Pressestelle - Mit Prof. Dr. Robert Hable kommt ein ausgewiesener Spezialist im Bereich Big Data Analytics an die Technische Hochschule Deggendorf (THD). Der gebürtige Landshuter verstärkt seit 1. November den Fachbereich Maschinelles Lernen/Künstliche Intelligenz an der neuen Fakultät für Angewandte Informatik der Deggendorfer Hochschule.

Dem Niederbayern ist die Technische Hochschule Deggendorf nicht unbekannt. Seit 2014 war der 38-jährige als Forschungsleiter im Bereich Big Data Analytics am Technologiecampus Grafenau tätig. Dort koordinierte er Forschungs- und Entwicklungsprojekte im Bereich Datenanalyse und Künstliche Intelligenz. Zusammen mit dem Technologiezentrum im tschechischen Pisek setze er das INTERREG-Projekt „Big Data Zentrum Ostbayern-Südböhmen“ um. Die Datenanalyse ist die große Leidenschaft von Robert Hable. Dass er sich ab dem Hauptstudium auf Statistik, Datenanalyse und Maschinelles Lernen spezialisierte, bezeichnet er bis heute als eine der besten Entscheidungen seines Lebens. „Die Datenanalyse ist als Werkzeug in nahezu allen wissenschaftlichen Disziplinen und nahezu allen Wirtschaftsbereichen einsetzbar. Dadurch kann man als Datenanalyst in der Wissenschaft immer interdisziplinär arbeiten und lernt viele unterschiedliche Fachbereiche und Themen kennen. Dasselbe gilt auch in Zusammenarbeit mit Unternehmen. Man erhält Einblick in alle möglichen Branchen, ob im Handel, der Industrie oder im Gesundheits- und Sportbereich. Für mich ist das perfekt, da ich doch recht neugierig und vielseitig interessiert bin“, erklärt der frisch gebackene Professor. Hable erreichte sein Diplom im Fachbereich Mathematik 2006 an der Universität in Bayreuth, promovierte 2009 an der LMU in München und ging 2010 als Gastdozent an die KU Leuven in Belgien. 2012 habilitierte Hable an der Uni Bayreuth, nahm danach eine Vertretungsprofessur an der LMU in München an, bevor er 2014 an den Technologiecampus Grafenau wechselte. Als Erfolg bezeichnet der gebürtige Landshuter, wenn seine Arbeit anderen Menschen wirklich weiterhilft, er aus ihren Daten Erkenntnisse gewinnen konnte, die vorher noch nicht bekannt waren. Seine Neugier, in Daten versteckte Muster durch Algorithmen aufzuspüren, treibt den jungen Professor an. Er selbst beschreibt sich als neugierig, vielseitig interessiert und gewissenhaft. Seine Freizeit verbringt der Vater von zwei Söhnen gerne bei seiner Familie, in der Natur, im Wald und in den Bergen. Zudem ist Hable aktives Mitglied und Jugendleiter bei den Ringern vom SV Mietraching.

Bild (THD): Prof. Dr. Robert Hable unterstützt seit November den Fachbereich Maschinelles Lernen / Künstliche Intelligenz an der Technischen Hochschule Deggendorf.

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20191007 Semesterstart WS1920Semesterstart und zwei neue Fakultäten

07.10.2019 | THD-Pressestelle - Seit dem 1. Oktober ist das studentische Leben auf dem Campus der Technischen Hochschule Deggendorf (THD) wieder in vollem Gange. Über 7000 Studierende sind in diesem Winter an inzwischen acht Fakultäten eingeschrieben. Zwei Fakultäten sind zum Wintersemester 2019/20 neu an der THD hinzugekommen.

Mit der Fakultät Angewandte Informatik steht ein neues, vielversprechendes Zugpferd der THD in der Startbox. Dort angesiedelt sind die beiden ebenfalls neuen Studiengänge „Künstliche Intelligenz“ und „Cyber Security“. Die THD spricht damit zwei sehr gefragte Fachgebiete an, die bei den Studienbewerbern entsprechenden Anklang gefunden haben. Ergänzt wird das Ausbildungsangebot der Fakultät durch die bewährten Studiengänge "Angewandte Informatik", "Wirtschaftsinformatik" und "Interaktive Systeme/Internet of Things" und rüstet Studierende in allen Bereichen der Informatik. Nach Wirtschaft, Ingenieurwissenschaften und Gesundheit, bildet die Informationstechnologie den vierten Schwerpunkt der THD und ist Baustein des neuen Zentrums für Digitalisierung in Deggendorf.
Auch der European Campus Rottal-Inn wird zukünftig als eigene Fakultät geführt. Angesiedelt in Pfarrkirchen, hat sich der rein englischsprachige Studienort der THD schnell etabliert und ist auf Fakultätsgröße gewachsen. Am 8. Oktober eröffnet dort der Erweitungsbau mit über 1000 weiteren Quadratmetern für Lehre und Forschung.
Als eigene Organisation innerhalb der Hochschule kümmern sich die Fakultäten zukünftig in Abstimmung mit Hochschulleitung und Verwaltung um Lehre und Forschung in ihrem wissenschaftlichen Bereich.

Bild (THD): Bei der Begrüßung der Erstsemester der Fakultät Angewandte Informatik: v.l. Dekan Prof. Dr.-Ing. Udo Garmann, Studiengangsassistentin Sandra Tremmel, Prof. Dr. Michael Ponader

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20190809 Fordergelder Digitale Lehre der THDInformatik Online Angebot der THD

09.08.2019 | THD-Pressestelle - Im neuen Angebot der Virtuellen Hochschule Bayern (vhb), SMART vhb, erhielt die Technische Hochschule Deggendorf (THD) am 26. Juli die Zusage über eine weitere Förderung in Höhe von 166.000 Euro für insgesamt 83 Lerneinheiten in der Informatik. Bereits zuvor hatte die THD mit 28 digitalen Kursen, die sie über die vhb anbietet, als Leuchtturm der digitalen Lehre in Bayern gegolten. Denn auch mit 27 Prozent der THD-Studierenden, die derzeit Online-Kurse bei der vhb belegen, ist sie Spitzenreiter.

Die nun in Deggendorf zu entwickelnden Inhalte sind allesamt Informatik-Themen, was auch prima zur Digitalisierungsstrategie der THD passt. Zu nennen sind der Compilerbau von Prof. Dr. Peter Faber, Chatbots und Maschinelles Lernen von Prof. Dr. Dr. Heribert Popp, Programmiertechniken von Prof. Dr. Andreas Fischer, Grundlagen der Informatik von Prof. Dr. Stefan Götze, Einführung in die Java Programmierung von Prof. Dr. Andreas Berl sowie Internet der Dinge von Prof. Dr. Marcus Barkowsky. Ab dem Wintersemester 2020/21 sind diese Online-Angebote bayernweit einsetzbar.

Professor Popp wird als vhb Beauftragter gemeinsam mit seiner Doktorandin Monica Ciolacu die SMART vhb-Projekte managen. „Als Leiter des neuen Bachelor-Studiengangs »Künstliche Intelligenz« (KI), der im kommenden Wintersemster startet, möchte ich natürlich von diesen Projektentwicklungen profitieren“, erklärt Popp. Der unmittelbare Einsatz der digitalen Kurselemente sei quasi die Probe aufs Exempel.

KI-Experte Popp hat in den letzen 12 Jahren etwa 50 Prozent seiner Lehre durch digitale Bausteine ersetzt. Man spricht hier von sogenanntem »Blended Learning«. In seinen Blended Learning Kursen setzt Popp außerdem Verfahren der KI ein. Dadurch passen sich die Kurse in gewisser Weise an den Kenntnisstand der Studierenden an. Popp erläutert: „Chatbots agieren in diesem System als Teletutoren. Sie beantworten Fragen der Studierenden. Gefährdet das Lernverhalten einen erfolgreichen Semesterabschluss, werden die Teilnehmer durch ein auf Maschinellem Lernen fußenden KI-System entsprechend gewarnt.“

Bei SMART vhb wird ein Repositorium für Online-Lerneinheiten aufgebaut. Diese lassen sich flexibel in die Präsenzlehre integrieren, da sie nur eine Bearbeitungszeit von 45 Minuten haben. Die Zusammensetzung aus unterschiedlichen Lernmaterialien, wie Videos, Textelementen oder Simulationen und Kontrollfragen garantiert eine mediendidaktisch abwechslungsreiche Darstellung der Thematik.

 

Bild: vhb Beauftragter Professor Popp und PhD. cand. Monica Ciolacu managen das SMART-vhb-Projekt der THD

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20190715 Kunstliche Intelligenz fur QuereinsteigerKünstliche Intelligenz in nur vier Semestern studieren

15.07.2019 | THD-Pressestelle - Quereinsteiger haben zum Wintersemester 2019/2020 an der Technischen Hochschule Deggendorf (THD) die Möglichkeit, in nur vier Semestern den Abschluss als Bachelor im Studiengang Künstliche Intelligenz zu erreichen. Das einmalige Angebot der THD richtet sich an Ingenieure, Informatiker, Wirtschaftsinformatiker und alle anderen einschlägigen Berufsgruppen mit Diplom- oder Bachelorabschluss, die sich gerne im Bereich Künstliche Intelligenz weiter qualifizieren möchten. Bewerbungen sind bis 20.09.2019 möglich.

Künstliche Intelligenz (KI) ist das Zukunftsthema schlechthin. „Alle Wirtschafts- und Dienstleistungsfelder benötigen in Zukunft die Unterstützung durch KI, um damit in ihren Marktsegmenten wettbewerbsfähig zu bleiben“, ist sich Prof. Dr. Dr. Heribert Popp, Leiter des Studiengangs Künstliche Intelligenz, sicher. Studieninteressierten mit entsprechender Vorqualifikation werden 60 ECTS-Punkte der ersten beiden Semester anerkannt. Somit können sie ihren Bachelor-Abschluss in nur vier Semestern erreichen. Dieses Studienmodell wird voraussichtlich nur einmalig zu diesem Wintersemester an der THD angeboten.
Die Vorlesungen finden donnerstags und freitags ganztägig sowie an zwei Samstagen im Semester statt. Quereinsteiger können theoretisch an drei Tagen pro Woche ihrer bisherigen Tätigkeit nachgehen. Die Studierenden beschäftigen sich in den ersten drei Semestern mit Grundlagen der Künstlichen Intelligenz, speziellen methodischen KI-Kenntnissen, intelligenten Dialogsystemen, Maschinellem Lernen, Robotik und Mensch-Maschine-Interaktionen. Im vierten Semester stellen die Studierenden ihre KI-Kompetenz in den jeweils wichtigen KI-Anwendungen wie Gesundheitswesen, Mobilität, Energiemanagement, Produktion, Service-Dienste oder Gaming unter Beweis. Hier ist eine gezielte Verknüpfung mit den praktischen KI-Themen des Arbeitsumfeldes möglich, auch im Rahmen der Bachelorarbeit.
Der Studiengang „Künstliche Intelligenz“ für Quereinsteiger startet bei einer Mindestteilnehmerzahl von 15 Studierenden und kostet nur den Studentenwerksbeitrag von 52 Euro. Bei Fragen steht Prof. Dr. Dr. Heribert Popp, E-Mail: heribert.popp@th-deg.de, als Ansprechpartner zur Verfügung.

Bild (© Halfpoint - stock.adobe.com): Einmalige Chance an der TH Deggendorf: Künstliche Intelligenz in nur vier statt sieben Semestern studieren.

 

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Mit »Maschinellem Lernen« Wettbewerbsvorteile nutzen

20190710 KI Arbeitskreis10.07.2019 | THD-Pressestelle - Um die Wettbewerbsfähigkeit von Unternehmen zu steigern, müssen diese heute auf den Einsatz von neuen Technologien und Künstliche Intelligenz (KI) setzen. Der »KI-Arbeitskreis« an der Technischen Hochschule Deggendorf (THD) widmet sich am Mittwoch, 24. Juli ab 14 Uhr dem KI-Thema »Maschinelles Lernen«.

Prof. Dr. Dr. Heribert Popp ist Leiter der Veranstaltung und vermittelt mit seinen Gästen Daten-, Analyse- und Technologiekompetenz im Bereich »Maschinelles Lernen«. Durch praxisorientierte Vorträge lernen die Teilnehmer und Teilnehmerinnen die Systeme des Maschinellen Lernens kennen und bekommen Ideen, wie sie Probleme von Fachabteilungen einer Maschinellen Lernen-Lösung zuführen können. Eingeladen sind alle Fach- oder Führungskräfte, die Interesse an der Umsetzung von »Maschinellem Lernen« in ihrem Unternehmen haben. Ebenso sind Informatiker oder IT-Spezialisten willkommen, die ihre Fachabteilungen mit modernen IT-Lösungen unterstützen möchten. Um Anmeldung wird gebeten unter sabrina.ebner@th-deg.de.

 

Bild: Prof. Dr. Dr. Heribert Popp ist Leiter der Veranstaltungsreihe »KI-Arbeitskreis« an der THD.