Study Guide

The graduating student adheres to the ethical principles and values of their field of profession, taking the principles of equality and non-discrimination into account.

• Is able to take responsibility for their own actions and their consequences and reflects on
them in accordance with the ethical principles and values of their field.
• Takes others into account and promotes equality and non-discrimination.
• Consider the realisation of diversity and accessibility in their actions.
• Understands the principles of responsible conduct of research and adheres to them.
• Is able to influence society based on ethical values.

The graduating student knows the core concepts of business and entrepreneurship in the field of ICT, understands business operations and processes and how data can be utilized for creating business value.

• The student learns different concepts of business and entrepreneurship, including
business start-up theories and processes and business planning
• The student understands the main principles of industrial management and how to run
business operations (production, operations, supply chain)
• The student knows how to utilize data in a user-centric way for creating business value

The graduating student knows how to design and implement prototype-level sensor data acquisition systems and small-scale robots and how to program ML functionalities into them.

• The student understands the principles of electronics and electromagnetism
• The student can design and implement prototype-level systems for collecting and
managing sensor data
• The student can design and implement prototype-level physical robotic systems as well
as operate and program non-complex robots

The graduating student is familiar with the principles of sustainable development, promotes their implementation and acts responsibly as a professional and a member of society.

• Is able to use information related to their field in finding, implementing and establishing
sustainable solutions and operating models.
• Understands sustainability challenges, their interdependencies and the various aspects
of issues and problems.

The graduating student recognises the strengths and development areas of their competence and learning methods, and they utilise the opportunities communities and digitalisation provide in their learning.

• Assesses and develops their competence and learning methods in different learning
environments.
• Is able to acquire, critically assess and appropriately apply the national and
international knowledge base and practices of their field.
• Also takes responsibility for group learning and sharing what has been learned.

The graduating student understands broadly the areas of data analytics and machine learning (ML), is able to apply mathematical methods as well as programming in ML solution development, use existing ML services and develop own ML solutions and algorithms.

• The student understands broadly the different areas and concepts of machine
learning and AI
• The student is able to think computationally in solving data analytics and machine
learning problems
• The student can apply mathematical methods in data analytics and machine learning
solutions
• The student can apply programming skills to utilise existing machine learning services
and apply them in a practical solution
• The student can develop own machine learning algorithms and solutions and apply
them in a practical solution

The graduating student thinks logically and mathematically, understands mathematics in engineering context and more specifically in machine learning and data engineering and is able to use mathematical methods in practice in own field.

• The student can think logically and mathematically
• The student learns the core mathematical methods for data engineering, data analytics
and machine learning
• The student can apply mathematical principles, methods and tools in engineering context

The graduating student has versatile working life skills and is able to operate in work communities of their field.

• Is able to work constructively in a work community and promotes their own and their
work community’s well-being.
• Is able to act professionally in communication and interaction situations at a
workplace. - Utilises the opportunities offered by technology and digitalisation in their
work.
• Understands the complexity of changing working life and their own resilience in
changing working life situations
• Has capabilities for an entrepreneurial approach

The graduating student is able to develop solutions that anticipate the future of their own field, applying existing knowledge and research and development methods.

• Solves problem situations creatively and reforms operating methods together with
others.
• Is able to work in projects in cooperation with actors of different fields.
• Is able to apply existing knowledge in the field in development and utilises research and
development methods.
• Is able to seek customer-oriented, sustainable and economically viable solutions,
anticipating the future of their field

The graduating student knows how to apply programming languages and software production methods and tools required in ICT system development and ML.

• The student knows basic programming structures and logic
• The student knows how to apply programming in problem-solving
• The student knows how to use software development tools, techniques and methods in
own field
• The student knows how to manage software product development and projects

The graduating student is familiar with the principles of sustainable development, promotes their implementation and acts responsibly as a professional and a member of society.

• Is able to use information related to their field in finding, implementing and establishing
sustainable solutions and operating models.
• Understands sustainability challenges, their interdependencies and the various aspects
of issues and problems.