Databases 2 (5cr)
Code: T42D27OJ-3001
General information
- Enrollment
- 02.12.2019 - 18.02.2020
- Registration for the implementation has ended.
- Timing
- 26.02.2020 - 16.04.2020
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Bachelor of Business Administration, Business Information Technology
- Teaching languages
- Finnish
- Degree programmes
- Business Information Technology
Evaluation scale
H-5
Content scheduling
On campus: 26.02.2020 - 16.04.2020
Objective
This module provides you deeper knowledge on using databases as part of software development projects and data analytics. You will learn to admin databases and use complicated data structures as part of data analysis and source of data in programming.
Content
Tieto puuttuu
Location and time
On campus: 26.02.2020 - 16.04.2020
Teaching methods
Problem-based learning and team based learning may be applied where applicable. Meaning students will seek knowledge and solve problems related to subject guided. Different activating vocational teaching methods will be used depending on the group taught and the facilities available. When applicable, conventions from selected areas in software industry may be used as a part of teaching. Teacher guides the learning process by short introductory lectures and/or initial subject related material to be studied before practical work. Teacher prepares the setting for learning and provides coaching for the students. Teaching sessions may take place on campus and online. The main focus will be on guided knowledge searching and practical work on it.
Employer connections
Software industry conventions may be used.
Completion alternatives
Before the course starts, students may propose to the course teachers their personal implementation plan. The plan must be realistic and result in verificable development in the targeted competence(s). In addition, guidance from MIGRI and student visa must be taken into account. Course teachers accept or reject student's plan based on their own consideration.
Student workload
The student's estimated workload of this implementation is 135 h as follows:
Roughly half of which is Independent individual and teamwork guided when needed.
Rest of hours will be mostly learning the subject with guided exercises.
Assessment criteria, satisfactory (1)
Evaluation target: You can utilize databases for data-analytics needs diversely.
Satisfactory
You can combine data queries into programming language as defined in requirements.
Assessment criteria, good (3)
Good
You can use common data query languages and can create a database application on your own.
Assessment criteria, excellent (5)
Excellent
You can create queries to produce data for data analysis and combine the database queries to programming languages to produce database applications.
Qualifications
NULL
Further information
You should have basic programming skills.