6 ECTS credits
150 h study time
Offer 1 with catalog number 4014887FNR for all students in the 1st semester at a (F) Master - specialised level.
In this course, we study aspects of information systems, both open information systems as well as advanced aspects of database systems. Topics include data models and languages for information systems, principles of data integration, generic architectures of information systems, ontologies and semantic web technologies.
The lectures are given in English. Relevant course material (slides) is available on the learning platform. For specific course topics, pointers to relevant additional resources (research papers, books and book chapters, website, specifications, online tutorials etc.) will be provided as well.
Knowledge and Understanding:
After attending the course, the student has an understanding of the main concepts of information systems, data integration, and how the Semantic Web contributes to the integration of different information systems.
Application of Knowledge and Understanding:
The student should be able to independently integrate information from Information Systems and the Semantic Web and build applications that make use of Linked Data and the Web of Data. The student is able to apply the theoretical knowledge gained from the lectures in a practical assignment.
Judgement Shaping:
The student knows about different Information Systems architectures and Semantic Web technologies and can put emerging technologies and developments in the field in relation to the content discussed in the course.
Communication:
The course attendees can express themselves in written and oral form about the subjects mentioned above.
Learning skills:
Based on the knowledge gained in this course, students should be able to understand and evaluate existing as well as new developments and technologies in the field of Information Systems and be able to independently study and master them.
The final grade is composed based on the following categories:
Oral Exam determines 40% of the final mark.
PRAC Teamwork determines 60% of the final mark.
Within the Oral Exam category, the following assignments need to be completed:
Within the PRAC Teamwork category, the following assignments need to be completed:
The final grade is a weighted average. During the semester an assignment has to be done (counts for 60% of the final grade). During the exam period an oral exam (counts for 40%) covering all the course topics will be conducted. At the same time as the exam, the project will be demonstrated and discussed in group. In order to pass the course, the final grade has to be at least 10/20. Furthermore, each individual grade (assignment or oral exam) has to be at least 8/20, otherwise the lowest of these two grades becomes the final grade. In the second exam period, assignments that were not satisfactory can be reworked and defended again. Also the oral exam can be redone. The final mark is calculated in the same way as in the first exam period.
This offer is part of the following study plans:
Master of Applied Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Multimedia for Northwestern Polytechnical University (NPU)
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics