Design and Use of Relational Databases (5 cr)
Code: TT00CP38-3002
General information
- Enrollment
-
01.01.2023 - 31.01.2024
Registration for the implementation has ended.
- Timing
-
23.10.2023 - 31.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- ICT
- Teaching languages
- English
- Seats
- 0 - 200
- Degree programmes
- Degree Programme in Information and Communications Technology
- Joint Elective Studies
- Teachers
- Kimmo Tarkkanen
- Tommi Tuomola
- Scheduling groups
- Avoimen AMK:n kiintiöpaikat (Size: 500 . Open UAS : 500.)
- Small groups
- Open UAS quota
- Course
- TT00CP38
Evaluation scale
H-5
Content scheduling
Students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the database design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials, exercises, midterm tests, a practical work and final exam.
Objective
After completing the course, the student understands the basics of database systems, and especially the operating principles of relational databases. The student learns how to design and model a database with ER technique, transform it to relational schema and further implement it as a relational database. After the course, the student knows how to use at least one well-known database management system (SQLite, MySQL or similar), can plan and create relational databases as well as apply SQL for most common query and update operations to the database.
Content
In the database design part of the course, students familiarize themselves with database thinking and the principles of data management from a quality perspective. Key topics include data modeling using ER diagrams, relational schema representations and normalization technique for validating the quality of the design. In the database use part of the course, students apply structured query language (SQL) to create a database (SQL DDL), and to manipulate and search data in the database (SQL DML). The course consists of self-study materials and practical exercises with a final test.
Materials
Published in Ville-system
Teaching methods
Remote self-study.
Lecture videos & slides; Exercises, text material and tests in Ville online system
Exam schedules
Final exam will be available in Ville system.
International connections
Students collect points from exercises and tests in Ville.
Student workload
Estimated working hours usage:
20 h Reading materials
40 h Exercises
30 h Practical work
30 h Tests and exams
Qualifications
The course is suitable for beginners and no previous studies are necessary.
Further information
Ville-system
Discord channels