This course is given in English as it corresponds to a Teaching Unit of the International MSc on Cyber Physical and Social Systems (CPS2): AI and IoT
This lecture aims at understanding the data interoperability issues that arise from the integration of existing application, or the evolution of systems. The students will understand and use the main data formats, query languages, and schema definition languages. They will understand the importance of controlled vocabularies and ontologies, and the importance of relaxing data schemas to enable the injection of additional information in documents. The course combines theory and practice on the following topics:
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|---|---|
| Know the main data formats | 5. Summarise | Essential |
| Understand and use the different datatypes | 3. Apply | Essential |
| Know how to use the data query languages for the main data formats | 3. Apply | Important |
| Know how to use the data schema description language | 3. Apply | Important |
| Understand the importance of using standardized vocabularies | 2. Understand | Important |
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | 50 | % | Project submission: | 0 | % |
| Individual oral exam: | 0 | % | Group presentation: | 0 | % |
| Individual presentation: | 0 | % | Group practical exercise: | 0 | % |
| Individual practical exercise: | 0 | % | Group report: | 0 | % |
| Individual report: | 50 | % | |||
| Other(s): 0 % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| Lectures | Four main lectures: Part 1. Encoding base data types, Part 2. Data Formats, Part 3. Data Schemas and Semantics, Part 4. The Value of Data |
| Practical Work | Students will gain experience through practical work, where they need to demonstrate their know-how based on screenshots, documents, and programs.
|