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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


Science Labs

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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Examination boards (in German)


Office hours of the professors and lecturers of the Faculty AI  winter semester 2021/22:

Prof. Dr. Michael Drexl: Appointments by arrangement via e-mail

Prof. Dr. Andreas Fischer: Appointments by arrangement via e-maill

Prof. Dr. Thomas Geiß: Appointments by arrangement via e-mail

Prof. Dr. Johannes Grabmeier: Appointments by arrangement via e-mail

Prof. Dr. rer. pol. Georg Herde: Wednesday 12 - 13 pm in office K202

Prof. Dr. Helena Liebelt: Appointments only by arrangement via e-mails, Tuesday 3rd block 

Prof. Dr. rer. pol. Michael Ponader: By video conference after prior appointment by e-mail

Prof. Dr. Dieter Rummler: Monday 8.45 - 9.45 am, no registration necessary, in office A107

Prof. Dr. Stephan Scheuerer: Appointments by arrangement via e-mail

Prof. Dr. Josef Schneeberger: Thursday 8 - 9 am, virtual if necessary, appointment by e-mail

Prof. Dr. rer. nat. Thomas Störtkuhl: Wednesday 2.30 -3.50 pm, by prior arrangement

Prof. Dr.-Ing. Terezia Toth: Appointments by arrangement via e-mail

Prof. Dr. Kristina Wanieck: Appointments by arrangement via e-mail

Prof. Dr. rer. nat. Götz Winterfeldt: Mondays and Thursdays by telephone arrangement or request via e-mail

Prof. Dr. Simon Zabler: Tuesday 12 - 1 pm




What does the word "truth" actually mean in a time when more and more data and more and more communication channels offer more and more opportunities to somehow convey virtually any opinion as truth? The already traditional "Deggendorf Forum for Digital Data Analysis" (DFDDA) under the direction of Prof. Dr. Georg Herde (Deggendorf Institute of Technology) asked itself this question. At the 16th forum event on Wednesday and Thursday, experts from tax auditing, tax consultancy and finance discussed the possibilities and limits of so-called artificial intelligence (AI). The motto of the event, which was virtual for the third time due to the Corona pandemic, was: "No signal - is the truth disappearing in the flood of data?"

Only recently, the Deggendorf Institute of Technology had dismissed its first graduates specialising in artificial intelligence, the Vice-President of DIT, Prof. Dr. Horst Kunhardt, told the audience in a welcoming speech. And he issued an admonition that all speakers at the conference echoed in one way or another: "We must never disregard the human being." At the end of all AI analyses, the critical mind of the human being is still needed, he said.

The guest speaker at the event, Prof. Dr. Klaus Mainzer, Professor Emeritus of Philosophy and Philosophy of Science at the Technical University of Munich, also spoke of "Responsible Artificial Intelligence". Mainzer has followed the development of AI and the expectations of AI on an international level and described in his lecture the path from the development of expert systems, which were supposed to support the doctor in diagnosis through purely logical reasoning from medical data, to the imitation of human brain functions and the search and detection of patterns in large amounts of data, to today, among other things, self-learning automats in automotive technology and the decoding of protein structures and thus the identification of viruses.

Mainzer took up the criticism that such systems are "black boxes", you can see what they find out, but not how they find it out. The systems are "trained like a dog. But in the end, you can still get bitten." Mainzer: "You need visibility, explainability." That means: an expert - a doctor, a specialist engineer - has to decide with his "domain knowledge" whether, for example, a medical diagnosis found automatically is plausible or not. The more influence technology has on people and their everyday lives, the greater the challenge for the training of people who work with this technology. Technology design is required; legal, social, ecological and economic criteria must be included in this design from the outset. Machine learning is "a huge success today", Mainzer said in the subsequent discussion. "But in the end, it is statistics" - with the uncertainties that come with it.

Using the example of the judiciary, Dr Tanja Ihden, FH Krems, who wrote her doctoral thesis in Bremen on "the relevance of statistical methods in jurisprudence", described successes and problems of argumentation with statistics. She is a member of the research unit "Statistics in Court", which was founded in 2014/15. According to Ihden, the number of court decisions in which statistical terms can be found has increased many times over in the past decades. The impetus for this comes from the judiciary itself, in almost all areas, whether it is the assignment of a DNA sample to a suspect, or reconstructions of an accident through scenarios, or the question of whether a man on whose computer photos from the borderline area of child pornography, which is not yet punishable, are found, is also very likely to possess prohibited photos. Judges are increasingly confronted with terms such as variance or confidence interval, which they must be able to correctly classify in their judgements, says Ihden. Being able to read statistics and evaluate statistical reasoning has become a key qualification for judges, he said.

Tawei (David) Wang, PhD, Associate Professor and Driehaus Fellow, Driehaus College of Business, DePaul University, Chicago, USA, demonstrated how risky the use of social media by employees can be for a company. His study shows how social media data can be used to find security weaknesses in companies' computer systems. Wang and colleagues used the LinkedIn network for their research, but consider the result transferable to other networks. They extracted thousands of personal data with information on current and former professional activities, areas of responsibility and locations and formed an exposure index for the company from the results. The result was a positive relationship between this index and the number of data breakdowns in the company's computer network.

The challenges posed by growing computing capacities, new processes and new procedures, such as AI, in companies also place new and expanded demands on auditing. Karsten Thomas, Partner IT-Assurance at BDO AG Wirtschaftsprüfungsgesellschaft, gave examples of where new, constantly developing tools can also help the auditor to improve the efficiency and quality of the audit. He does not see any fundamental competition between the goals of quality and efficiency. A high degree of automation also reduces the susceptibility to errors and can relieve the auditor. It could also make it easier to recognise anomalies. Thomas presented concrete tools from auditor practice. Outliers in analysed data are a particular challenge. The effort to clarify and assess them is high. There is great hope for AI procedures, but Thomas does not yet see their use at this point. One reason he gave was that, depending on the company, not every anomaly has to be an error, and that it is difficult to obtain training data for machine learning in companies with their individual design of data systems and processes.

A special form of mass data analysis for tax purposes was presented by Markus Ettinger, Diplom-Finanzwirt (FH) in the large and group tax audit of Schleswig-Holstein. The Foreign Tax Act stipulates how transfer prices between related parties or companies and their subcontractors are checked for taxation purposes to see whether they correspond to market realities. Transfer prices between comparable, unrelated third parties are used for this purpose. Ettinger described, according to the title of his presentation, "Visualisation and Benchmark Studies in Transfer Pricing". For this, comparable companies and criteria for comparability must first be found. Using example data, Ettinger described how a combination of machine screening, ideally interactive methods of visualisation and critical scrutiny of each individual step can be used to compile a comparison set on which the tax classification can be based, as long as the boundary conditions remain unchanged.

At the end of the conference, DFDDA Chairman Prof. Dr. Georg Herde posed the question in his own contribution that bridged the various topics of the conference: "Artificial Intelligence - A Solution for Auditing?" He started from the statement: "New techniques are giving AI a strong impetus." But what does AI "understand" about company data as it is available to the auditor? What correlations does it recognise on its own? From structured company data, the auditor extracts a multitude of tables - which, however, interact in a defined way, which is not automatically recognisable in the tables. And even in a flat table, only a human can recognise the meaning of the entries: Which chart of accounts was used? What kind of date is in the date field? Depending on where a posting record is, it can be wrong or right or even meaningless. From these and other considerations, he derived a perspective for developers: the input fields must be strongly standardised, but already an assignment of the attributes to the data fields cannot be done by an AI, but must be queried anew for each client and executed by hand. "There is no automatic testing of a programme logic," said Herde, referring - mutatis mutandis - to an insight made by the British computer scientist Alan Turing in 1937. In addition, framework conditions such as company structures, prices or laws are constantly changing, so that an AI system would have to be constantly retrained. "These and other problems of AI systems are currently not solvable," Herde noted. Research in this area is therefore important and sensible, he said.

His conclusion: "If an AI system does not say how it arrives at a result, then the examiner can only believe the results. Then he doesn't test."


And the DEGGs? It is becoming more and more part of the Deggendorf Institute of Technology (DIT). The AI Centre of the Faculty of Applied Computer Science had already moved in last spring. Now, at the start of the winter semester, up to 120 students can be supervised in presence on around 1,600 square metres of the former medical care centre. In addition, laboratories have been set up for research and work on digital topics. Topics that are also relevant for the further digitalisation of the regional economy.

Prof. Andreas Fischer is the head of the Laboratory for Network Technologies: "Not only classic internet technologies are explored here, but also new types of distributed intelligent applications," explains the DIT scientist. Artificial intelligence algorithms could, for example, help to better plan resources in large-scale data centres, detect anomalies in data traffic or quite practically speed up the forwarding of packets.

Another new addition to the DEGGs is a laboratory for high performance or quantum computing. Prof. Dr. Peter Faber is the boss here. Under his guidance, topics in computer science are served that require extraordinarily high computing power. "Our main focus is on so-called parallel computing" says Faber, meaning that in such cases several variants of a problem are solved simultaneously. For example, an AI can search different areas of a high-resolution image for specific objects at the same time. Parallel processing is also the speciality of quantum computing - the two research fields complement each other perfectly here at DEGGs.

The DeepLearning lab is the realm of Prof. Andreas Berl. Small autonomous vehicles, robotic arms and humanoid robots characterise the first impression. Highly sophisticated AI workstations with access to fast servers in the background allow students to quickly achieve their own successes and thus apply theoretical knowledge directly in practice.

"At the AI Centre, we want to prepare Deggendorf students in the best possible way for the revolutions in the fields of Artificial Intelligence, Industry 4.0, Internet of Things, High Performance Computing and Quantum Computing," confirms Prof. Berl. The three labs offer special practical courses on topics such as network technologies, deep learning and high performance computing or quantum computing. The response has been enormous. Well over 3,000 applicants from all over the world wanted one of the 120 places on the new English-language Bachelor Artificial Intelligence and Master Artificial Intelligence & Data Science programmes. Berl is very pleased about this: "We are proud that the degree programme became known so quickly outside Germany." He also hopes for more applicants from Germany. After all, studying in English boosts career opportunities enormously.


With Prof. Dr. Simon Zabler, the Faculty of Applied Computer Science at the Deggendorf Institute of Technology (DIT) gains an expert in the field of imaging techniques with a focus on computed tomography.

The passionate physicist already dealt with X-ray imaging in his Master's thesis and has not been able to get away from it since. For Zabler, computed tomography is not only an interdisciplinary field that combines computer science, mathematics, physics and mechanical engineering, but it is also constantly reinventing itself. This is precisely the attraction of "digital photography with three-dimensional pixels", as Zabler describes computed tomography. He remained faithful to computed tomography throughout his professional career. Whether during his doctoral thesis at the Hahn-Meitner Institute in Berlin or as a PostDoc at the Max Planck Institute in Potsdam, where he watched cellulose drying in wood. Research and teaching have also accompanied Prof. Zabler for a long time. He already taught materials science at the TU Berlin and then set up a research group for X-ray microscopy and scattering at the University of Würzburg.

One of the reasons Zabler chose the professorship at DIT is that top international researchers have the opportunity here to bring their field of research into teaching. He himself has a German-French double degree in physics and is at home on the international stage of science. Zabler is therefore particularly looking forward to building up a broad network at DIT around computed tomography and machine vision in order to carry out exciting and, above all, international projects. In addition, industry and university work together here in Lower Bavaria in an uncomplicated and results-oriented manner. According to Zabler, it is precisely this networking that offers a great opportunity to direct the focus and knowledge transfer in applied research towards the current requirements of industry.

Zabler also pays special attention to the young talents at DIT and how he can make research fun for them and accompany them on their way. In return, students can expect clear communication, accessibility, fair rules, enthusiasm for the subject matter and readable documents from him. Attendance, critical examination of the material and honest feedback are points that Zabler demands of his students.

Honesty is important to the new DIT professor, who describes himself as compulsively honest. He does not look away when mistakes are made, whether by others or his own, and when injustice occurs. The best prerequisites for changing something. Honest as he is, he also admits that he can only explain things really well when he has understood them himself. Even if he is not always the tidiest and most punctual, he is an unteachable optimist at work. He can also be persuaded to do just about anything with chocolate and / or a good cappuccino. It is therefore not surprising that Zabler not only likes to feast in his free time, but also cooks himself. Preferably in company. He is also interested in history and international politics, but one week a year is devoted entirely to the forest. That's when he is out in the forest with the Bergwaldprojekt e.V. and 25 adults, planting trees and re-wetting bogs.


The Deggendorf Institute of Technology (DIT) has increased staff for teaching statistics. Prof. Dr. Stefan Hagl is now working full-time at the university. He is leaving the private sector and wants to concentrate on research in addition to teaching.

Stefan Hagl has been associated with DIT since 2005. First as a lecturer and since March 2012 as a part-time professor. He is pleased that from now on he can strengthen teaching in statistics and data analysis/data science as a full-time professor; both at the Faculty of Applied Economics and now at the Faculty of Applied Computer Science. Students often have a "barrier in their minds" when it comes to mathematical methods and applications. His goal is to make students understand the necessity and the fun of it. Stefan Hagl is sure that his experience as a data analyst at Acxiom Deutschland GmbH will help. Analysing data for customer-oriented marketing is the company's core business and Stefan Hagl's expertise; especially the statistical methods used for this. He worked at Acxiom from 2006 to 2021, most recently in a senior position for the EMEA region, i.e. Europe, Middle East and Africa. His wife and children fully support his decision to become a professor in his home region of Lower Bavaria. He finds compensation in extensive mountain and alpine tours, cycling tours and in the gym.


In autumn 2019, the Deggendorf Institute of Technology (DIT) launched Germany's first Bachelor's degree programme in Artificial Intelligence (AI). After just under two years, Lucas Fobian is now Germany's first AI bachelor's graduate.

"AI experts are currently in high demand on the market," reports Prof. Dr. Patrick Glauner. He adds: "However, companies cannot wait three to four years for the first graduates." In addition to the regular start of the new degree programme, DIT therefore offered a one-time programme called "lateral entry". This enabled professionals with a technical degree or those who had changed their field of study to acquire AI skills in just two years. A concept that originated with the then and now retired programme coordinator Prof. Dr. Dr. Heribert Popp.

Lucas Fobian, now the first graduate, was immediately convinced: "During my studies in general computer science, I realised that I was particularly interested in the sub-field of AI. Fortunately, DIT offered lateral entry at exactly this time. This meant that large parts of my basic studies could be credited to me." He carried out his Bachelor's thesis in cooperation with the Bavarian State Criminal Police Office (BLKA). Here he developed an AI from the field of "predictive policing" to forecast residential burglaries. Prof. Glauner supervised this Bachelor's thesis and proudly reports: "The BLKA is very satisfied with the results. It has been confirmed that our AI graduates are excellently qualified for the implementation of AI applications." Currently, almost 15 more "lateral entrants" are working on their Bachelor's theses. They will complete their studies in the coming weeks and will then also be available to the labour market.

More information on the DIT's AI degree programmes can be found at . If you have any questions about the AI degree programmes, please contact Prof. Glauner directly at Applications for a place on the programme are still possible until 15 August.


On 29 July, the Deggendorf Institute of Technology (DIT) will once again come to town. On the bench at the Oberer Stadtplatz between the town hall and Pustet this time: the DIT expert for artificial intelligence (AI), Prof Dr Patrick Glauner. From 10.30 am to noon, he would like to talk to citizens about how data and its analysis are already changing our health care and will change it even more in the near future.

The complete mapping of an individual’s genetic make-up is no longer a big deal. You can already get the date for a few hundred euros. In a few years, experts say, they may be as normal as a complete blood count. So the door to individualised medicine is open. “The crucial thing, however, will be how we can use the data, for example from a personal genetic make-up, in an ethically sensible way,” says DIT professor Patrick Glauner. This requires the development of technologies such as artificial intelligence to be able to evaluate and interpret the enormous amounts of data. In addition, blockchain technologies to ensure the necessary data security and quantum computers to realise the necessary computing power. The market for the analysis of genetic data alone is expected to be worth $40 billion by 2030. Accordingly, research and work on this is being carried out at full speed worldwide. The first successes are already emerging in cancer therapy. Not only has the connection between certain genetic constellations and the development of cancer been proven, but also that with individually achieved treatment successes. In radiology and dermatology, AI has long provided valuable diagnostic support thanks to pattern recognition. "The concern that this technology will eventually replace real doctors is unfounded," says Glauner. Rather, the technology is an additional, data-based expertise. The analysis result of an AI, which can incorporate a virtually infinite amount of data into the evaluation, combined with the personal medical experience delivers the best possible treatment suggestion. "But in the end, it is always the human being, the doctor, who decides together with her patient," assures Glauner. Nothing will change in that regard. Of course, the topic of data processing in medicine also has a great ethical dimension. Citizens are welcome to talk to Glauner about this, too. An ethical dimension on two levels, by the way. On the individual level, it must be ensured that everyone can decide for themselves who gets access to personal data. Interesting at this point: In the US, there is already a business model of lending your data to universities or pharmaceutical companies. For a fee, of course. On the societal level, the question arises whether we shouldn't all make our data available to research in anonymised form - or even have to. Because it's clear: only when really large amounts of data, keyword Big Data, come together, does a picture emerge, an interpretation with a high degree of reliability. For the benefit of all those who suffer from incurable diseases today and cannot be cured due to a lack of understanding of these diseases. Many questions, then. Questions that move people. Not only computer scientists and doctors. "Some of them can certainly be answered at the DIT Science Bench," Patrick Glauner is sure.


The details and conditions of participation have now been announced for the previously announce “Anton Fink Science Prize for Artificial Intelligence (AI)”, which will be awarded for the first time by the Deggendorf Institute of Technology (DIT) in 2022. Individuals, start-ups, universities, research institutes, foundations or even companies can win. The prerequisites are ground-breaking achievements in the research, development or practical application of AI. The prize is endowed with €10,000.

“Industrial production and mechanical engineering are at the core of our prosperity,” says entrepreneur Anton Fink, explaining his personal motivation for offering this award. The first focus of the current call for entries is therefore also on AI applications related to Industry 4.0 topics. At the same time, Central Europe is increasingly on its way to becoming a service society. “Therefore, the second thematic focus of the current call is on AI applications in the area of Service 4.0,” says Fink. The award is intended to recognise and promote corresponding digital innovations. Applications with projects, research results or teaching offers are accepted from Germany, Austria and the Czech Republic. The deadline for applications is 31 December 2021. Applications must include information on the projects, research results or teaching offers, a sketch of the innovation created by them and a CV of the applicant. Individuals aged 18 and over who are resident in Germany, Austria or the Czech Republic are eligible to apply. But also, groups or companies that have their headquarters in one of the countries mentioned. These must then appoint a natural person to make the application and take responsibility for it. Submissions are accepted in both German and English. Prof Dr Patrick Glauner, who is primarily responsible for the Science Award on the part of DIT, explains that the jury is commited to treat all information made available to it in the context of the competition as strictly confidential and will use it solely for the purpose of conducting the competition. “However,” Glauner explains, “we recommend that all participants secure any patent applications before publishing them as part of the competition.” This is because the presentation of the ideas or projects could eliminate novelty protection. The award ceremony is planned for Spring 2022. The jury includes Bavarian Science Minister Bernd Sibler and the founder Anton Fink himself.

Details on the call for entries are available at


Tamas Nemes attends the grammar school of the Regensburger Domspatzen. The 17-year-old is interested in studying Artificial Intelligence (AI) at the Deggendorf Institute of Technology (DIT). That’s why he is currently taking the course Algorithms and Data structures in the so-called early studies programme there.

“In order to better understand the algorithms underlying AI, I started an early study programme in March,” Nemes reports. The secondary school student benefits from this special offer at DIT for pupils: “The lectures are highly interesting. And working independently on the associated tasks is a lot of fun for me.” Previous knowledge of computer science was not required for participation. The 16-year-old pupil Anna Daiser is also convinced by the early study programme. The early study programmes was introduced for highly talented pupils in high school. While they are studying for their A-levels, they can already participate in University lectures in different study fields. She appreciates that the lectures are well structured and that “the content is conveyed in an understandable way.” Digital teaching has also opened up completely new possibilities for the early study programme, reports lecturer Prof Dr Patrick Glauner: “My course is now taken by interested people from all over Germany. We couldn’t reach them at all before.” Another example is Christian Normann, who did the early study course from his home in Rheinland-Pfalz. He describes his experience as follows: “Last semester I had taken the Computer Vision course. The accompanying robotics project was very educational and I enjoyed it a lot.” Incidentally, the application deadline for the winter semester 2021/2022 at DIT is currently open, until 15 July. From 1 October, prospective students such as Nemes, Daiser or Normann will be able to train as AI experts in seven semesters. For this purpose, DIT offers an AI Bachelor’s programme, optionally in German or English. Participants in the DIT early study programme will then have a good idea of what to expect at the university. Enquiries about early study can be directed to the DIT STEM team at More information on the AI degree programmes can be found at If you have any questions about the AI degree programmes, Prof Glauner will also be happy to answer them directly at or +49 991 3615 453.


Next year, the Deggendorf Institute of Technology (DIT) will award the “Anton Fink Science Prize for Artificial Intelligence” in the amount of € 10,000 for the first time. This is the highest amount of an award that DIT has presented in the past. As the name suggests, the new “Anton Fink Science Award for Artificial Intelligence” is intended to contribute to strengthening teaching, research and development explicitly in the field of Artificial Intelligence (AI). On 18 May, founder and DIT Honorary Senator Anton Fink made the agreement official with his signature on the cooperation agreement.

As a pioneer in the university landscape when it comes to AI, the DIT can use this award to strengthen, the region in this promising field in parallel to successful initiatives such as the AI Campus Bavaria. Founder Anton Fink has been associated with DIT for many years and would like to see many applications for the science award. The topic of AI fascinates him and he wants to support DIT in a meaningful way. For DIT President Sperber, the advantages are obvious: such a prize will make DIT better known as an institution in the AI scene. In addition, important contacts will be made from which the university will benefit. The prize will be announced for the first time at the end of the year, around October or November 2021. Applications will be accepted from Germany, Austria and the Czech Republic. The jury consists of DIT professors Prof Dr Dr Heribert Popp and Prof Dr Patrick Glauner, DIT President Prof Dr Peter Sperber, from Austria FH Prof DI Dr Stefan Huber, from the Czech Republic Assoc. Prof Ivo Bukovsky, PhD and Minister of Science Bernd Sibler. The award will be presented in spring 2022 and is to be continued annually.


The European Commission wants to create a uniform legal framework for Artificial Intelligence (AI) within the EU through its proposed regulation published in April 2021. To evaluate the proposal, the Committees for European Union Affairs of the German Bundestag and the French National Assembly held a joint meeting on 6 May. Prof Dr Patrick Glauner from the Deggendorf Institute of Technology (DIT) was invited as an expert.

“I explained to the MPs why, in my opinion, AI should not be regulated by its own legislation,” said Prof Glauner, who is also deputy head of the Bavarian regional group in the AI Feder Association. Today, safety-critical use cases are already covered by existing regulations, laws, standards and norms in almost all cases, Glauner continued: “The proposed regulation threatens overregulation, which would make the use or development of AI in the EU significantly more difficult or even impossible.” The DIT professor also called for a High-Tech Agenda Europe based on the High-Tech Agenda Bavaria. This would bring the added values of AI for citizen to more attention and take measures to increase competition. DIT President Prof Dr Peter Sperber proudly emphasises: “The fact that two national parliaments are interested in DIT’s AI expertise impressively proves that we are leading in the field of research and teaching on AI.” The new insights on AI regulation from the committee meeting would also be directly incorporated into teaching at DIT. Prof Glauner’s full written statement is freely available at If you have any questions about the potential impact of the planned EU-wide AI regulation, Prof Glauner is also available as a direct contact at or +49 991 3615 453.


The Deggendorf Institute of Technology (DIT) starts the first English-language technical Bachelor's degree programme in Deggendorf: Artificial Intelligence. Prospective students will be able to study Artificial Intelligence (AI) in English as early as October 2021.

One of the world's first Bachelor's degree programmes in Artificial Intelligence has been available at DIT since 2019. Artificial intelligence makes it possible to automate human decision-making behaviour and will change almost every industry in the coming years and decades. The demand for AI experts on the market is correspondingly high. The future programme coordinator Prof. Dr. Patrick Glauner describes AI as the next step in the industrial revolution. This means excellent career prospects for the students. With the new degree programme, the university wants to take this and the advancing internationalisation of the German labour market into account. Above all in Europe, Germany-wide and regionally, the university hopes to interest more young people in studying AI in Deggendorf. Both, lectures and exams, are held in English. A great advantage is the possibility to attend the first two semesters, both in Deggendorf and virtually. Minister of Science Bernd Sibler emphasises: "Being future-oriented and international are among the hallmarks of the Deggendorf Institute of Technology. Its future offer of an English-language degree programme in ‘Artificial Intelligence’ proves this once again. After all, artificial intelligence is the key technology for diverse new developments worldwide." The degree programme offers over ten modules on AI, providing a broad and in-depth education. Computer science basics are not neglected. Spread throughout the degree, eleven core computer science modules form the backbone of the programme. A highlight of the degree programme is the practical semester, which is scheduled for the fifth semester, in which students apply their knowledge in practice in companies and thereby deepen it. However, the acquisition of key competences and soft skills, for which suitable modules are included, is also important for later professional life. Foreign students also learn the basics of the German language necessary for a successful professional life during their studies. More information on the AI degree programme can be found on the DIT website: Applications for a place on the programme can be submitted from Thursday, 15 April. If you have any questions about the degree programme, Professor Glauner can also be contacted directly at or +49 991 3615 453.


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:


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.


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.


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.


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 or +49 991 3615-453 at any time.


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.


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


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 at any time.


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.


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". 


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.


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


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


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:, als Ansprechpartner zur Verfügung.

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



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


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