Kaisa_2012_3_photo by Veikko Somerpuro

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Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 16.4.2018
16:15 - 18:00
Mon 23.4.2018
16:15 - 18:00
Thu 26.4.2018
16:15 - 18:00
Thu 3.5.2018
16:15 - 18:00
Fri 4.5.2018
12:15 - 14:00

Other teaching

Material

Video

Description

Master's Programme in Data Science is responsible for the course

The course is available to students from other degree programmes

No prerequisites.

This course is related to a broad spectrum of studies randing from data science, computer science and statistics to digital humanities.

The student is able to recognise situations where GDPR applies and react accordingly.

Course is held for the first time on spring 2018. The course is offered on the 4th period. Similar course might be held yearly in the future.

This course aims to give a brief introduction into GDPR and to provide the knowledge to recognise situations where it applies.

The course consist of five lectures:

Lecture 1: Introduction & Background of data protection in Europe

Lecture 2: Terminology, material and territorial scope, (what is personal data?) and roles in the GDPR;

Lecture 3: Data Protection Principles and Data Subject’s Rights

Lecture 4: Controller and Processor Obligations

Lecture 5: Practical relevance and case studies.

The course will involve 5 mandatory lectures, short reports on each lecture and a Moodle exam. Minimum 60% attendance is required, but the missing lecture needs to be compensated with a more thorough report/essay.

The full legislation on GDPR: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A32016R0679

More material to be added later.

The course will involve 5 mandatory lectures, short reports on each lecture and a Moodle exam.

Assessment and grading is based on lecture attendance, completed reports and a Moodle exam. Grading is pass/fail.

The course will involve 5 mandatory lectures, short reports on each lecture and a Moodle exam. Minimum 60% attendance is required, but the missing lecture needs to be compensated with a more thorough report/essay.