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Data Storages (5 cr)

Code: AL00CO16-3001

General information


Enrollment

21.11.2022 - 08.01.2023

Timing

01.01.2023 - 28.04.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Business and Hospitality Management (LAB)

Campus

Lahti Campus

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in Business Information Technology

Teachers

  • Aki Vainio

Scheduling groups

  • Luennot 1 (Size: 0. Open UAS: 0.)

Groups

  • LLTIBIT22K
    Bachelor's Degree Programme in Business Information Technology 22K Lahti

Small groups

  • Luennot 1

Learning outcomes

Student is able to
- form queries using SQL
- apply the basic principles of normalization
- maintain databases
- describe the principles of database transactions
- explain the importance of information security in data storage
- describe alternative data storage types

Implementation and methods of teaching

Lectures and excercises.

Timing and attendance

Weekly lectures, attendance recommended.

Learning material and recommended literature

The materials on Moodle and WWW, also any introductory book on SQL recommended.

Alternative completion methods

Negotiable.

Exam retakes

Negotiable.

Learning environment

Moodle and group work.

Student time use and work load

5 credit course.

Contents

Learning outcomes of the course
Student is able to
- form queries using SQL
- apply the basic principles of normalization
- maintain databases
- describe the principles of database transactions
- explain the importance of information security in data storage
- describe alternative data storage types

Additional information for students: previous knowledge etc.

Basic understanding of programming

Assessment criteria

Based on course assignment

Assessment scale

1-5

Failed (0)

Unable to form basic queries or understand how queries are used in software

Assessment criteria: level 1 (assessment scale 1–5)

Has rudimentary understanding of queries.

Assessment criteria: level 3 (assessment scale 1–5)

Can design databases in a normalized manner

Assessment criteria: level 5 (assessment scale 1–5)

Can form complex queries.