Study Guide

Objectives (course unit)

The objective of the course is to develop the skills to process, analyse and visualise data. The course provides the skills to utilise data in decision-making in the health care sector.

After completing the course, the student
- know the key data analytics terms and concepts
- know the principles of data collection, storage and analysis methods in the context of healthcare
- knows how to use data analytics as a decision-making tool
- know the most common data management and visualization methods
- understand the meaning and uses of data in healthcare processes

Content (course unit)

Key concepts: definition of healthcare data, Big Data, data visualisation, data preprocessing, data storage and its technologies, API interfaces
Data and its categories
Data processing and utilization methods
An overview of data storage technologies and APIs to utilize them
Data visualization and visual data analytics
Data analytics as part of healthcare decision-making

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows how to process data
- can do data analyzes and visualizations based on examples
- knows some concepts related to data and analytics as well as some uses of data in the area of ​​healthcare

Assessment criteria, good (3-4) (course unit)

The student
- knows how to process data as needed
- can analyze and make data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of ​​healthcare
- understand the importance of data in healthcare management processes

Assessment criteria, excellent (5) (course unit)

The student
- knows how to handle data versatilely in a way that suits the context
- can analyze and make versatile data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of ​​healthcare
- understand the importance of data in healthcare management processes

Assessment scale

0-5

Objectives (course unit)

The course provides the skills to design applications taking into account the users and the context.

After completing the course, the student
- knows the user-centered design process.
- understands the phases of application concept design and can design application user interfaces and good application user experience.
- knows the most important heuristic evaluation methods of applications and knows how to evaluate and develop applications against usability heuristics.

Content (course unit)

User-centered design process
User experience (UX)
Usability
Heuristics
Prototyping
Design, user testing

Assessment criteria, satisfactory (1-2) (course unit)

The student
- can explain how user-centered design is taken into account in the layout design of the site/service.
- can describe typical user experience testing methods and tell in which situations which method should be used.
- knows the design and evaluation principles of user interfaces.

Assessment criteria, good (3-4) (course unit)

The student
- knows the design and evaluation principles of user interfaces and knows how to design and knows the principles of heuristic evaluation of applications.
- can produce different prototypes for user experience testing.
- knows how to test design solutions and services with typical testing methods of user experience and advance the development of the plan based on what has been learned from testing.

Assessment criteria, excellent (5) (course unit)

The student
- can apply user experience testing methods in different situations and contexts.
- knows how to critically examine her/his own design and is able to modify it according to the context.

Assessment scale

0-5

Objectives (course unit)

The course provides the skills to create a quality management system that meets the regulatory requirements for medical devices, and to work in an expert position accordingly.

After the course, the student
- knows the key terminology of quality and quality management
- understand the basics and benefits of quality management
- knows the regulatory requirements for quality management of medical devices
- is able to plan and implement quality management for medical devices
- is able to analyse whether the regulatory requirements for quality management of health technology are met

Content (course unit)

Quality, quality management and quality management systems
Basics and benefits of quality management
Quality management and quality management standards of medical devices
Regulatory requirements for the quality management and quality management system of medical devices
Planning, implementing and maintaining the quality management system

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics of quality management
- knows the basics of the regulatory requirements for quality management of medical devices
- is able to define the principles of planning and implementing quality management for medical devices

Assessment criteria, good (3-4) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics of quality management and is able to identify its benefits
- is able to interpret the regulatory requirements for quality management of medical devices
- is able to plan a quality management system for medical devices

Assessment criteria, excellent (5) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics and benefits of quality management, and is able to analyze its benefits
- is able to apply the regulatory requirements for quality management of medical devices
- is able to plan, implement and maintain quality management system for medical devices
- is able to analyse whether the regulatory requirements for quality management of medical devices are met

Assessment scale

0-5

Objectives (course unit)

3. Reporting and Evaluating the Thesis (after gate 5 and final evaluation), 5c
Goals and contents
- producing a Master’s thesis and relevant materials, which follow TAMK’s instructions and research ethical principles
- presenting orally the justification and evaluation of the research methods, implementation, and the results of the thesis.

Content (course unit)

Implementation parts depend on the degree programme
- finalising and publishing the Master’s thesis
- creating a poster
- checking for plagiarism – Turnit
- maturity test
- presenting the thesis in the evaluation situation
- written peer evaluation (will there be time for oral evaluation during the presentations also)

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

1. Thesis Planning (gates 1-3), 5 cr
Goals and contents
- being able to select and delimit a topic for a working life based thesis, which supports the student’s own learning, and to write a thesis plan according to TAMK’s thesis instructions
- being able to use national and international sources and adhere to copyrights in planning the thesis,
- being able to choose the proper data collection and analysis methods, to consider the matters regarding data protection as well as the ethical principles of the field in question.

Content (course unit)

Implementation parts
- idea paper, data search, preliminary literature review
- thesis plan
- thesis contract/permission
- peer review

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

2. Implementing the Thesis (after gate 4), 20 cr
Goals and contents

- keeping up with and advancing the development of their field, applying the knowledge, theories, central terms, methods, and principles of their field critically in their own thesis
- being able to apply the suitable research approach in their thesis
- being able to implement the thesis according to plan, while taking advantage of the guidance offered.

Content (course unit)

Implementation parts depend on the degree programme
- implementing empirical and/or theoretical part and writing the report
- methodological studies
- data privacy statement
- participation in thesis seminars and guidance events and peer evaluation

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

The objective of the course is to give an understanding of applying information systems, and information and communication technology in social and health care. The course provides the skills to understand and fulfill the obligations of the manufacturers of information systems that process customer and patient data, the information system service providers, and the social and health care service providers.

After completing the course, the student
- knows definitions, terminology and basic concepts of information systems for social welfare and health care
- knows the most important digital wire-based and wireless communication technologies and their application in social and health care
- is able to classify and interpret essential requirements of information systems intended for processing client and patient data in social services and health care
- knows the key regulations and standards, and what information systems those apply to
- is able to solve the most important interoperability issues related to information systems
- is able to evaluate the benefits of typical eHealth applications
- is able to evaluate implementation of information systems from professional’s and customer's point of view

Content (course unit)

Roles of different stakeholders
Social and health care processes
Basic principles of digital communication, coding, bits and bytes
Methods of digital communication
Structured and unstructured clinical data, data quality
Data security and data protection in social and health care
Information systems used in social welfare and health care
Regulatory framework of information systems
Future trends of ICT in social and health care

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology related to social and healthcare information systems
- knows data transfer methods of information systems
- knows some key standards and regulatory requirements for social and healthcare information systems
- knows the principles of classification and essential requirements of information systems intended for processing client data in social services and patient data in healthcare services
- knows the basics of interoperability of information systems
- knows some eHealth applications, but is not able to analyse their benefits

Assessment criteria, good (3-4) (course unit)

The student
- knows the key terminology and basic concepts related to social and healthcare information systems
- knows and is able to identify different data transfer methods of information systems
- knows the key standards and regulatory requirements for social and healthcare information systems
- is able to classify and knows the principles of essential requirements of information systems intended for processing client data in social services and patient data in healthcare services
- knows the basics of interoperability of information systems and key challenges and solutions
- knows eHealth applications, and is able to analyse their benefits

Assessment criteria, excellent (5) (course unit)

The student
- knows the key terminology and basic concepts related to social and healthcare information systems and is able to apply them
- knows and is able to identify and analyse different data transfer methods of information systems
- knows the key standards and regulatory requirements for social and healthcare information systems and is able to apply them
- is able to classify information systems intended for processing client data in social services and patient data in healthcare services and knows their essential requirements
- knows the basics of interoperability of information systems and key challenges and solutions
- knows eHealth applications, and is able to analyse their benefits

Assessment scale

0-5

Objectives (course unit)

In the course, students delve deeper into the current state and future prospects of digitalization and technology in the health care sector. The practical implementation of the course emphasizes customer-oriented implementation of application requirements specification and understanding of programming. Students evaluate and innovate digital solutions in the health care sector, applying their theoretical understanding and expertise to problems in the health care sector.

After completing the course, the student
- knows the most common technologies driving digitalisation and understands the potential of digitalisation in the design of applications in the health sector
- knows the stages of implementing applications utilizing ICT technologies throughout the project life cycle
- knows the stages of requirement specification in software engineering and knows the most common methods of requirement analysis
- know the stages of concept design for UI applications
- know the most common implementation methods for application

Content (course unit)

Concepts and key technologies of digitalisation: digital forms of information, sensors, Internet of Things, data transfer technologies, cyber security aspects.
Software life cycle stages: requirements analysis, system design, software design, implementation, testing, commissioning and maintenance.
Application requirement specification
Application UI design and application prototyping

Assessment criteria, satisfactory (1-2) (course unit)

The student
- know the technologies driving digitalisation and their impact on the health sector
- knows the most important stages of application production as well as production methods
- knows the areas of application requirement specification and their key contents
- knows the design and prototyping methods of user interfaces

Assessment criteria, good (3-4) (course unit)

The student
- knows the technologies driving digitalisation and their impact on the health sector in the region and is able to identify potential applications in the field
- knows the most important stages of application production and production methods and understands their key contents
- knows the areas of software requirement specification and is able to implement the most important elements of customer-oriented requirement specification
- is able to design application user interfaces and implement user interface prototypes

Assessment criteria, excellent (5) (course unit)

The student
- knows the technologies driving digitalisation and their impact on the health sector in the region, is able to identify potential applications in the field and is able to critically assess the development targets of digitalisation and their feasibility
- knows the most important stages of application production and production methods and understands their key contents
- knows the areas of software requirement specification and is able to implement the most important elements of customer-oriented requirement specification
- is able to design application user interfaces and implement functional user interface prototypes fluently and in a user-oriented manner

Assessment scale

0-5

Objectives (course unit)

In the course, students learn about artificial intelligence and machine learning, especially in the context of the health care sector. Working with advanced algorithms and programming principles, students evaluate and develop artificial intelligence applications, and apply their theoretical understanding and skills to meet the challenges and innovations of modern health care in the field of artificial intelligence and machine learning.

After the course, the student
- know the key principles, terms and concepts of artificial intelligence and machine learning
- know the process of machine learning and AI creation
- know the key applications of AI in the health sector

Content (course unit)

The concept of an algorithm, the basic principles of programming
Principles, terms and concepts of artificial intelligence and machine learning
AI and machine learning model creation and testing and quality assessment
Key applications of artificial intelligence and machine learning in the health sector

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector

Assessment criteria, good (3-4) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector
- will be able to create a machine learning model based on the data in a selected environment and test and evaluate the quality of the model
- will be able to find and analyse applications of artificial intelligence and evaluate the usefulness of artificial intelligence in healthcare processes

Assessment criteria, excellent (5) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector
- will be able to create a machine learning model based on the data in a selected environment and test and evaluate the quality of the model
- will be able to find and analyse applications of artificial intelligence and evaluate the usefulness of artificial intelligence in healthcare processes
- will be able to create an AI model in the healthcare process and critically analyze the quality and applicability of the AI model for the application
- identify the differences between different algorithms in creating a machine learning model and be able to choose an algorithm that is justifiably suitable for the application

Assessment scale

0-5

Objectives (course unit)

The student
- knows how to work in a multidisciplinary product development project team
- knows the key terminology and methods of project management and product development
- knows the standards and regulatory requirements for health technology product development and its documentation
- knows the product development process and project phases for medical devices and medical device software
- knows how to take into account user needs and requirements in product development project

Content (course unit)

Projects and project management
Product development process and product development project
Human- and user-centered design, user needs and product requirements
Health technology product development guided by regulations and standards
Medical device software life cycle processes
Medical device product development project, its phases and documentation

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology and methods of project management and product development
- is able to work in a multidisciplinary product development project team
- knows the phases of product development process and project of medical devices and software
- is able to identify user needs and product requirements in product development project

Assessment criteria, good (3-4) (course unit)

The student
- can apply the key terminology and methods of project management and product development
- is able to work well in a multidisciplinary product development project team
- knows the phases of product development process and project of medical devices and software, and the documentation requirements
- is able to apply methods to identify user needs and product requirements in product development project

Assessment criteria, excellent (5) (course unit)

The student
- broadly understands the key terminology and methods of project management and product development
- is able to work excellently in a multidisciplinary product development project team
- is able to apply the phases of product development and project of medical devices and software, and the documentation requirements
- is able to apply methods to identify and fulfill user needs and requirements in product development project

Assessment scale

0-5

Assessment scale

0-5

Assessment scale

0-5

Objectives (course unit)

The student
- knows how to work in a multidisciplinary product development project team
- knows the key terminology and methods of project management and product development
- knows the standards and regulatory requirements for health technology product development and its documentation
- knows the product development process and project phases for medical devices and medical device software
- knows how to take into account user needs and requirements in product development project

Content (course unit)

Projects and project management
Product development process and product development project
Human- and user-centered design, user needs and product requirements
Health technology product development guided by regulations and standards
Medical device software life cycle processes
Medical device product development project, its phases and documentation

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology and methods of project management and product development
- is able to work in a multidisciplinary product development project team
- knows the phases of product development process and project of medical devices and software
- is able to identify user needs and product requirements in product development project

Assessment criteria, good (3-4) (course unit)

The student
- can apply the key terminology and methods of project management and product development
- is able to work well in a multidisciplinary product development project team
- knows the phases of product development process and project of medical devices and software, and the documentation requirements
- is able to apply methods to identify user needs and product requirements in product development project

Assessment criteria, excellent (5) (course unit)

The student
- broadly understands the key terminology and methods of project management and product development
- is able to work excellently in a multidisciplinary product development project team
- is able to apply the phases of product development and project of medical devices and software, and the documentation requirements
- is able to apply methods to identify and fulfill user needs and requirements in product development project

Assessment scale

0-5

Objectives (course unit)

In the course, students learn about artificial intelligence and machine learning, especially in the context of the health care sector. Working with advanced algorithms and programming principles, students evaluate and develop artificial intelligence applications, and apply their theoretical understanding and skills to meet the challenges and innovations of modern health care in the field of artificial intelligence and machine learning.

After the course, the student
- know the key principles, terms and concepts of artificial intelligence and machine learning
- know the process of machine learning and AI creation
- know the key applications of AI in the health sector

Content (course unit)

The concept of an algorithm, the basic principles of programming
Principles, terms and concepts of artificial intelligence and machine learning
AI and machine learning model creation and testing and quality assessment
Key applications of artificial intelligence and machine learning in the health sector

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector

Assessment criteria, good (3-4) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector
- will be able to create a machine learning model based on the data in a selected environment and test and evaluate the quality of the model
- will be able to find and analyse applications of artificial intelligence and evaluate the usefulness of artificial intelligence in healthcare processes

Assessment criteria, excellent (5) (course unit)

The student
- knows the key principles, terms and concepts of artificial intelligence
- knows the processes of creating artificial intelligence
- knows the key applications of artificial intelligence and their effects in the health sector
- will be able to create a machine learning model based on the data in a selected environment and test and evaluate the quality of the model
- will be able to find and analyse applications of artificial intelligence and evaluate the usefulness of artificial intelligence in healthcare processes
- will be able to create an AI model in the healthcare process and critically analyze the quality and applicability of the AI model for the application
- identify the differences between different algorithms in creating a machine learning model and be able to choose an algorithm that is justifiably suitable for the application

Assessment scale

0-5

Objectives (course unit)

3. Reporting and Evaluating the Thesis (after gate 5 and final evaluation), 5c
Goals and contents
- producing a Master’s thesis and relevant materials, which follow TAMK’s instructions and research ethical principles
- presenting orally the justification and evaluation of the research methods, implementation, and the results of the thesis.

Content (course unit)

Implementation parts depend on the degree programme
- finalising and publishing the Master’s thesis
- creating a poster
- checking for plagiarism – Turnit
- maturity test
- presenting the thesis in the evaluation situation
- written peer evaluation (will there be time for oral evaluation during the presentations also)

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

In the course, students delve deeper into the current state and future prospects of digitalization and technology in the health care sector. The practical implementation of the course emphasizes customer-oriented implementation of application requirements specification and understanding of programming. Students evaluate and innovate digital solutions in the health care sector, applying their theoretical understanding and expertise to problems in the health care sector.

After completing the course, the student
- knows the most common technologies driving digitalisation and understands the potential of digitalisation in the design of applications in the health sector
- knows the stages of implementing applications utilizing ICT technologies throughout the project life cycle
- knows the stages of requirement specification in software engineering and knows the most common methods of requirement analysis
- know the stages of concept design for UI applications
- know the most common implementation methods for application

Content (course unit)

Concepts and key technologies of digitalisation: digital forms of information, sensors, Internet of Things, data transfer technologies, cyber security aspects.
Software life cycle stages: requirements analysis, system design, software design, implementation, testing, commissioning and maintenance.
Application requirement specification
Application UI design and application prototyping

Assessment criteria, satisfactory (1-2) (course unit)

The student
- know the technologies driving digitalisation and their impact on the health sector
- knows the most important stages of application production as well as production methods
- knows the areas of application requirement specification and their key contents
- knows the design and prototyping methods of user interfaces

Assessment criteria, good (3-4) (course unit)

The student
- knows the technologies driving digitalisation and their impact on the health sector in the region and is able to identify potential applications in the field
- knows the most important stages of application production and production methods and understands their key contents
- knows the areas of software requirement specification and is able to implement the most important elements of customer-oriented requirement specification
- is able to design application user interfaces and implement user interface prototypes

Assessment criteria, excellent (5) (course unit)

The student
- knows the technologies driving digitalisation and their impact on the health sector in the region, is able to identify potential applications in the field and is able to critically assess the development targets of digitalisation and their feasibility
- knows the most important stages of application production and production methods and understands their key contents
- knows the areas of software requirement specification and is able to implement the most important elements of customer-oriented requirement specification
- is able to design application user interfaces and implement functional user interface prototypes fluently and in a user-oriented manner

Assessment scale

0-5

Objectives (course unit)

The course provides the skills to design applications taking into account the users and the context.

After completing the course, the student
- knows the user-centered design process.
- understands the phases of application concept design and can design application user interfaces and good application user experience.
- knows the most important heuristic evaluation methods of applications and knows how to evaluate and develop applications against usability heuristics.

Content (course unit)

User-centered design process
User experience (UX)
Usability
Heuristics
Prototyping
Design, user testing

Assessment criteria, satisfactory (1-2) (course unit)

The student
- can explain how user-centered design is taken into account in the layout design of the site/service.
- can describe typical user experience testing methods and tell in which situations which method should be used.
- knows the design and evaluation principles of user interfaces.

Assessment criteria, good (3-4) (course unit)

The student
- knows the design and evaluation principles of user interfaces and knows how to design and knows the principles of heuristic evaluation of applications.
- can produce different prototypes for user experience testing.
- knows how to test design solutions and services with typical testing methods of user experience and advance the development of the plan based on what has been learned from testing.

Assessment criteria, excellent (5) (course unit)

The student
- can apply user experience testing methods in different situations and contexts.
- knows how to critically examine her/his own design and is able to modify it according to the context.

Assessment scale

0-5

Objectives (course unit)

1. Thesis Planning (gates 1-3), 5 cr
Goals and contents
- being able to select and delimit a topic for a working life based thesis, which supports the student’s own learning, and to write a thesis plan according to TAMK’s thesis instructions
- being able to use national and international sources and adhere to copyrights in planning the thesis,
- being able to choose the proper data collection and analysis methods, to consider the matters regarding data protection as well as the ethical principles of the field in question.

Content (course unit)

Implementation parts
- idea paper, data search, preliminary literature review
- thesis plan
- thesis contract/permission
- peer review

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

2. Implementing the Thesis (after gate 4), 20 cr
Goals and contents

- keeping up with and advancing the development of their field, applying the knowledge, theories, central terms, methods, and principles of their field critically in their own thesis
- being able to apply the suitable research approach in their thesis
- being able to implement the thesis according to plan, while taking advantage of the guidance offered.

Content (course unit)

Implementation parts depend on the degree programme
- implementing empirical and/or theoretical part and writing the report
- methodological studies
- data privacy statement
- participation in thesis seminars and guidance events and peer evaluation

Assessment criteria, satisfactory (1-2) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, good (3-4) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment criteria, excellent (5) (course unit)

Assessment criteria can be found from TAMK's web pages: https://intra.tuni.fi/en/handbook?page=3104. In the thesis guide there is seperate master's thesis assessment criteria. During the process 'Thesis plan' is assessed as failed/passed. In the end of the thesis process failed/passed is turned to a general rating.

Assessment scale

0-5

Objectives (course unit)

The course provides the skills to create a quality management system that meets the regulatory requirements for medical devices, and to work in an expert position accordingly.

After the course, the student
- knows the key terminology of quality and quality management
- understand the basics and benefits of quality management
- knows the regulatory requirements for quality management of medical devices
- is able to plan and implement quality management for medical devices
- is able to analyse whether the regulatory requirements for quality management of health technology are met

Content (course unit)

Quality, quality management and quality management systems
Basics and benefits of quality management
Quality management and quality management standards of medical devices
Regulatory requirements for the quality management and quality management system of medical devices
Planning, implementing and maintaining the quality management system

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics of quality management
- knows the basics of the regulatory requirements for quality management of medical devices
- is able to define the principles of planning and implementing quality management for medical devices

Assessment criteria, good (3-4) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics of quality management and is able to identify its benefits
- is able to interpret the regulatory requirements for quality management of medical devices
- is able to plan a quality management system for medical devices

Assessment criteria, excellent (5) (course unit)

The student
- knows the key terminology of quality and quality management
- knows the basics and benefits of quality management, and is able to analyze its benefits
- is able to apply the regulatory requirements for quality management of medical devices
- is able to plan, implement and maintain quality management system for medical devices
- is able to analyse whether the regulatory requirements for quality management of medical devices are met

Assessment scale

0-5

Objectives (course unit)

The objective of the course is to give an understanding of applying information systems, and information and communication technology in social and health care. The course provides the skills to understand and fulfill the obligations of the manufacturers of information systems that process customer and patient data, the information system service providers, and the social and health care service providers.

After completing the course, the student
- knows definitions, terminology and basic concepts of information systems for social welfare and health care
- knows the most important digital wire-based and wireless communication technologies and their application in social and health care
- is able to classify and interpret essential requirements of information systems intended for processing client and patient data in social services and health care
- knows the key regulations and standards, and what information systems those apply to
- is able to solve the most important interoperability issues related to information systems
- is able to evaluate the benefits of typical eHealth applications
- is able to evaluate implementation of information systems from professional’s and customer's point of view

Content (course unit)

Roles of different stakeholders
Social and health care processes
Basic principles of digital communication, coding, bits and bytes
Methods of digital communication
Structured and unstructured clinical data, data quality
Data security and data protection in social and health care
Information systems used in social welfare and health care
Regulatory framework of information systems
Future trends of ICT in social and health care

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows the key terminology related to social and healthcare information systems
- knows data transfer methods of information systems
- knows some key standards and regulatory requirements for social and healthcare information systems
- knows the principles of classification and essential requirements of information systems intended for processing client data in social services and patient data in healthcare services
- knows the basics of interoperability of information systems
- knows some eHealth applications, but is not able to analyse their benefits

Assessment criteria, good (3-4) (course unit)

The student
- knows the key terminology and basic concepts related to social and healthcare information systems
- knows and is able to identify different data transfer methods of information systems
- knows the key standards and regulatory requirements for social and healthcare information systems
- is able to classify and knows the principles of essential requirements of information systems intended for processing client data in social services and patient data in healthcare services
- knows the basics of interoperability of information systems and key challenges and solutions
- knows eHealth applications, and is able to analyse their benefits

Assessment criteria, excellent (5) (course unit)

The student
- knows the key terminology and basic concepts related to social and healthcare information systems and is able to apply them
- knows and is able to identify and analyse different data transfer methods of information systems
- knows the key standards and regulatory requirements for social and healthcare information systems and is able to apply them
- is able to classify information systems intended for processing client data in social services and patient data in healthcare services and knows their essential requirements
- knows the basics of interoperability of information systems and key challenges and solutions
- knows eHealth applications, and is able to analyse their benefits

Assessment scale

0-5

Objectives (course unit)

The objective of the course is to develop the skills to process, analyse and visualise data. The course provides the skills to utilise data in decision-making in the health care sector.

After completing the course, the student
- know the key data analytics terms and concepts
- know the principles of data collection, storage and analysis methods in the context of healthcare
- knows how to use data analytics as a decision-making tool
- know the most common data management and visualization methods
- understand the meaning and uses of data in healthcare processes

Content (course unit)

Key concepts: definition of healthcare data, Big Data, data visualisation, data preprocessing, data storage and its technologies, API interfaces
Data and its categories
Data processing and utilization methods
An overview of data storage technologies and APIs to utilize them
Data visualization and visual data analytics
Data analytics as part of healthcare decision-making

Assessment criteria, satisfactory (1-2) (course unit)

The student
- knows how to process data
- can do data analyzes and visualizations based on examples
- knows some concepts related to data and analytics as well as some uses of data in the area of ​​healthcare

Assessment criteria, good (3-4) (course unit)

The student
- knows how to process data as needed
- can analyze and make data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of ​​healthcare
- understand the importance of data in healthcare management processes

Assessment criteria, excellent (5) (course unit)

The student
- knows how to handle data versatilely in a way that suits the context
- can analyze and make versatile data visualizations and understand their meaning in the processing context
- knows the most important concepts related to data and analytics, as well as several uses of data in the area of ​​healthcare
- understand the importance of data in healthcare management processes

Assessment scale

0-5