Admission requirements
This course is open to Master's students Data Science, Computer Science and ICT in Business and the Public Sector.
Description
This course prepares students for application of data science in real-life settings. Students work in Fieldlabs on real data problems. The students will explore the data-problem, research data availability, investigate the quality of the data and design a solution for the problem. Students work in teams, which are called Fieldlabs. They receive support from coaches who are cognisant of the data-problem and the context of it. In the lectures the students will receive practical tools that can be deployed for a solution that addresses the problem. The Fieldlab will be addressing data architectures which are federated, with localised repositories, making use of linked, semantic data curation techniques to achieve data-interoperability based on RDF. Materials will be provided during the course.
Course objectives
At the end of the course students are able to:
- Use the CRISP-DM-based procedure and development of the Business Canvas to plan a project;
- Use Linked semantic data models and understand data that is Findable, Accessible (under well defined conditions), Interoperable and Reusable (FAIR), and other related models (such as SOLID);
- Reason about the ethical and regulatory conditions for solutions in real-life data solutions;
- Establish team work based on interdisciplinary expertise, using a SWOT analysis;
- Present a coherent, reasoned solution in a professional format.
Timetable
The most recent timetable can be found at the Computer Science (MSc) student website.
In MyTimetable, you can find all course and programme schedules, allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally, you can easily link MyTimetable to a calendar app on your phone, and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video, read the instructions, or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Mode of instruction
Class lectures
Coaching
Assessment method
Assessment and grading method (in percentages):
3 group-assignments (each 10%): 30%
group-presentation: 10%
individual essay (final exam): 60%
Retake possible of essay (60%)
To complete the final mark, please take notice of the following:
1) the final grade for the course is established by determining the weighted average.
The individual essay (final exam) is graded based on:
Following the procedure of a real-life problem analysis (10%)
The correct use of a FAIR/SOLID based federated architecture (10%)
Use of ethical and regulatory considerations (10%)
Coherence and professional style (10%)
Innovation and creativity (10%)
Reflecting on the quality of the business canvas and interdisciplinary team work (10%)
Reading list
- Reading material and tools offered during the course
Registration
As a student, you are responsible for enrolling on time through MyStudyMap.
In this short video, you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Remarks
For any special needs in relation to group work or any other special needs, please contact the lecturer.
Software
Starting from the 2024/2025 academic year, the Faculty of Science will use the software distribution platform Academic Software. Through this platform, you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.