Skip to main content

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
Teachers
Pekka Reijonen
Teacher in charge
Pekka Reijonen
Course
T42D27OJ

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.

Go back to top of page