Web Engineering & IT Solutions

The following content is discussed in the course: - Presentation of different user-oriented analysis platforms (e.g. KNIME, RapidMiner, Grafana) - Presentation of different cloud solutions for data analysis (e.g. Google Cloud, AWS, Azure) - Application of the platforms presented using the example of analysis data sets - Discussion of the different approaches

Students are given an overview of common business platforms and cloud computing. In addi-tion, the advantages and disadvantages of the respective platforms are discussed. Students are therefore able to select suitable platforms for a given problem. Students gain practical experience with selected platforms using case studies. In addition, methods for defining interfaces are discussed with the students.

Introduction - IoT architecture (e.g. reference models) - Requirements for IOT systems - IOT data transmission protocols - Use of IOT in an industrial context (examples) - Basics of sensor technology - Basics of embedded systems Implementation - Procedure for implementing IOT - Prototypical implementation of IOT - Selection of sensors - Data collection, visualization and evaluation - Challenges in implementation

The study trip gives part-time students the opportunity to acquire intercultural competence. Under the guidance of the lecturer, the students find out about potential study destinations, research relevant data and facts about the destination country and organize the program: The week in an international environment includes visits to companies, lectures at partner universi-ties as well as lectures and events in the field of Social Skills. The aim is to ensure that stu-dents acquire an understanding of the cultural mainstream of the country in question. Discus-sions with specialists and executives, visits to foreign trade centers, business and social associations round off the international and personality-building experiences of the study trip.

The content of the course is based on the course contents of the current semester, especially the topics of architecture, cloud and e-business. The following objectives are pursued during the coaching model and are worked on in small groups: 1) Strengthening the ability to reflect by considering the course contents of the semester in an interdisciplinary context to further consolidate and clarify open questions. This can be done, for example, using further exercises or workshop-like formats. 2) Deeper development of problem-solving competence by specializing/networking of subject areas across different courses, which are dealt with in an in-depth work, therefore providing further insights for the students; if necessary, also preparatory work for their own knowledge. Work, e.g. in preparation for the Master thesis. In this seminar, the focus lies on topics related to development and engineering, as well as web-based systems. 3) Linking practical information from the profession with your own knowledge. Own work: Enabling the connection of practical work-related experience from the students' field of activi-ty with the contents of the courses of the semester in the form of a more systematic/scientific form, which, similar to point 2, leads to a preparation of one's own knowledge.

Students gain in-depth knowledge in the field of academic methods by means of a research project to be worked on in a small group. Building on the basic knowledge of techniques and rules of academic methods Students are trained in the field of data analysis including conclusive statistics. This gives students the ability to work on complex scientific questions and to create research designs. This implies both structure and content as well as style and language at a high level. The practical development of the above-mentioned knowledge prepares students both formally and methodically for preparing the Master thesis. The discussion and critical questioning of the scientific methodology of a Master thesis is also included. In order to support the students in their search for relevant and high quality questions, possible topics and hypotheses are discussed and debated.

Through independent implementation, the students acquire skills in implementing the acquired knowledge. The entire implementation of a complex project is carried out independently by the students - this includes the conception, budgeting and implementation as well as the evaluation and interpretation of the results. In order to also build on the students' social skills, the projects are carried out in student teams under independent management and team building. Particularly important are skills such as the analysis of recipient behavior, economically responsible decision-making, risk management, intercultural competence, organizational and social skills, budgeting skills, sponsoring and project management. The abovementioned learning and teaching objectives are ensured by an actual implementa-tion of the solution approach.

Within the framework of the colloquium on the Master thesis, students are supervised and supported in the preparation of their Master thesis in addition to the individual supervision of the Master thesis in the form of seminars. This will be an opportunity to present the research concept and already developed results and to discuss and critically reflect on them in the group.

The topic of the Master thesis is to be chosen from the subject area of the Web Engineering & IT Solutions degree program. The research question is prepared based on a scientific paper - this is done independently and without external help (with the sources and aids indicated). This way of working ensures that the students are able to work on an issue in a scientific and application-oriented manner. The search for topics, structure and time planning should be developed independently by the students - this is carried out above all through critical examination of possible questions and hypotheses. The supervisors guide the students in this process. Scientific methodology and the formal design are discussed in the context of individual coaching, as are questions of time management. The thesis can be written in German or English. The 22 ECTS for the Master thesis are divided into 20 ECTS for the Master thesis and 2 ECTS for the final examination.

This course teaches fundamental topics in the field of Cloud Computing and infrastructure management. This includes the following focal points: - History and overview - Cloud Computing concepts such as service models, deployment models - Basic technologies of Cloud Computing (virtualization, infrastructure management) - New developments in Cloud Computing, such as containerization, serverless computing - Strategies and tasks, problems, risks in Cloud Sourcing

In this course, students will get to know the concept of Mixed Reality and will be able to clas-sify the different forms of Augmented Reality and Virtual Reality. The respective available technologies in terms of hardware and software systems (e.g. development environments) are introduced and the basic implementation techniques are described using specific examples. The course deals with the conceptual level of mixed reality applications (e.g. story develop-ment and interaction options) as well as the implementation of the applications (e.g. 3D mod-elling and programming).

The following contents will be discussed in the lecture: - Digital markets and how they work - Business models in digital markets - Differences between traditional and digital business models - E-business infrastructures (e.g. backend, middleware, frontend) - E-business frameworks (e.g. established shop systems)

In this integrated course, instruction is given in basic topics in the field of information retrieval. Emphasis is placed on the following: retrieval models (Boolean, vector space, probabilistic, etc.); the implementation of IR systems (layer model, visualization, access paths, algorithms); representation of content (free text search, documentation languages, special logic, indexing, etc.); web retrieval (link analysis, crawling); content-based search in multimedia documents.

In this integrated course, instruction will be given in basic aspects of the operational management of IT systems. Emphasis is placed on the following: - personnel deployment planning and resource management - contract management and finance management (cost and activity accounting) - quality management and quality assurance (reviews, audits, etc.) - staff information and communication; IT strategy and IT portfolio management; - risk management; IT governance and compliance - ITIL, CoBIT - service level agreements and outsourcing - balanced score card methodology - IT management tools (ADOit, etc.)

The course teaches basic topics in the field of web security. This includes cryptographic pro-cedures, security in transport protocols (HTTPS, SSL and TLS), threats (e.g. code injection, cross site scripting, cross site request forgery) and appropriate countermeasures. Using ready-made, prepared web applications (e.g. JuiceShop), students attempt to exploit threats and security holes to gain a better understanding of the security of web applications. Based on these examples, countermeasures for selected threats are discussed (e.g. input validation, prepared statements). Students are also introduced to security problems at network level (e.g. ARP spoofing, denial-of-service attacks, etc.). In the subject area of IT Governance, students are taught the basics of IT governance. To this end, important processes and organizational structures are discussed so that business and IT can be aligned with each other. Basic terms are discussed, as well as the classification of IT governance into corporate governance. Furthermore, frameworks and standards (e.g. Cobit, ITIL) are discussed.