YFPRA1 1. praksisperiode Emneplan

Se omtale av praksis i programplanen

Se omtale av praksis i programplanen

Se omtale av praksis i programplanen

Se omtale av praksis i programplanen

Privacy by Design is a fundamental requirement of the General Data Protection Regulation (GDPR) for all systems operating on personal information. This course provides an introduction to privacy and data protection including the legislation such as the GDPR, privacy enhancing technologies, privacy management, designing for privacy, and privacy patterns in software design. It enables the students to understand regulation, to identify privacy risk and consequences of data breaches, introduces them to privacy controls and builds skills in their application in a structured privacy engineering process.

No formal requirements over and above the admission requirements.

This course is primarily aimed at PhD candidates admitted to the PhD programme in Health Sciences and PhD students from Memorial University, Newfoundland. General terms for admission to the course is a completed master’s degree in molecular biology or equivalent qualification (e.g. completed MABIO4400). Priority will be given to PhD candidates from OsloMet and Memorial University, Newfoundland.

Note that all students must have a laptop not more than 2 years old (windows 7 or more recent or mac with OS X). The laptop must be able to connect to a wireless network.

The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.

Admission to the course may also be offered to master students attending the Master’s Programme in Biomedicine / Master in Health and Technology, by prior approval from the thesis supervisor and depending on course capacity. These students must have completed the first 60 ECTS credits of the Master’s programme including MABIO4400, and write a master’s project where this course is considered relevant.

• Online course material for preparatory reading (flipped classroom approach)
• Bi-weekly lecture and case discussions
• Bi-weekly presentations of student home assignment cases

The course consists of three weeks consecutive work that includes the following teaching methods: self-study including exercises/questionaries related to background theory (one week), lectures and seminars (one week), and practical exercises in the use of different software programmes for analysis of HTS data (one week). The outcomes of the practical exercises in last week are discussed in plenary sessions. The practical exercises are obligatory.