Syllabus
Anmeldung durch das Institut
| Day | Date | Time | Room |
|---|---|---|---|
| Tuesday | 10/03/23 | 02:00 PM - 03:00 PM | TC.2.02 |
| Tuesday | 10/03/23 | 03:00 PM - 05:00 PM | TC.4.18 |
| Tuesday | 10/10/23 | 01:00 PM - 05:00 PM | D2.0.030 |
| Tuesday | 10/17/23 | 01:00 PM - 05:00 PM | TC.4.04 |
| Tuesday | 10/24/23 | 01:00 PM - 05:00 PM | D2.0.038 |
| Tuesday | 11/07/23 | 01:00 PM - 05:00 PM | TC.4.04 |
| Tuesday | 11/14/23 | 01:00 PM - 05:00 PM | D2.0.374 |
| Tuesday | 11/21/23 | 01:00 PM - 05:00 PM | D2.0.030 |
| Tuesday | 11/28/23 | 01:00 PM - 05:00 PM | TC.3.06 |
| Tuesday | 12/05/23 | 01:00 PM - 05:00 PM | D2.0.030 |
| Tuesday | 01/09/24 | 01:00 PM - 05:00 PM | D2.0.030 |
| Tuesday | 01/16/24 | 01:00 PM - 05:00 PM | D2.0.038 |
| Tuesday | 01/23/24 | 01:00 PM - 05:00 PM | D2.0.030 |
Artificial Intelligence (AI)-basedinformation systems are increasingly adopted in a wide range of application domains. In this Lab we want to explore elements of an infrastructure for engineering AI systems (of SWeML type) based on such patterns to support the work of AI engineers. Core to this infrastructure is an AI-Pattern Wizard that supports an AI engineer to identify a suitable pattern for a system that (s)he wishes to design.
Utilization of distributed ledger technology and AI to optimize the efficiency and the effectiveness:
This course focuses on the active involvement of students in researching and comprehending distributed ledger technology (DLT) and artificial intelligence (AI) in the context of anti-money laundering (AML) measures. The students will contribute to defining project objectives, brainstorming solutions, conducting data analysis, researching relevant regulations, and identifying vulnerabilities in existing AML systems. They will collaborate with experts, implement and test DLT-based solutions, provide feedback, and suggest improvements to ensure the effectiveness and security of the developed system.
Upon completion of the course, students are able to
-Critically evaluate a research question in the broad topic of Digital Economy from the view of (micro)economics and information systems
- Plan a research project to answer such a research question
- Write a research paper according to current academic standards from the relevant disciplines describing the research project and its outcomes
Students conduct an interdisciplinary research project spanning all stages: from defining a research question, doing a literature research, to stating hypotheses, implementing an experimental or empirical study, analysing the experimental or empirical data and interpreting and critically reflecting the findings. Besides acquiring methodological knowledge, students gain practical experience in planning and carrying out a research project and also take the perspective of a project manager. Students work in groups and are coached regularly by the two lecturers.
1. Research project plan incl. tasks, responsibilities and milestones (15%)
2. Intermediate result report incl. update of research project plan, draft of research paper (15%)
3. Peer review (10 %)
4. Final report (40%) incl. research paper, critical reflection of project plan and project work („lessons learned“), project result poster
5. Final presentation (20%)
Grading scale:
90% to 100% Excellent (1)
80% to <90% Good (2)
70% to <80% Satisfactory (3)
60% to <70% Sufficient (4)
<60% Fail (5)
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