Orientation to Engineering Studies (5 cr)

Objective

After completing this course, students are familiar with their physical and social study environment at Metropolia and in their degree programme. They also understand the structure of their bachelor's degree in engineering. Students are familiar with the key information systems of Metropolia and with their career opportunities. Students know the basics of cyber security and AI.

On completion of the course, students will be able to compose basic documents in their field. Students understand the role of communication in working life and know how to communicate at workplaces. They also understand intercultural communication and possible challenges it may involve.

After completing the basic information security course, the student will be able to handle information appropriately, identify the most common information security threats and be prepared to meet the requirements of working life in terms of information security skills.

After completing the basic course in artificial intelligence, the student will understand the principles of large language models and their advantages and disadvantages. They will be able to use AI in a responsible and ethical way in learning, taking responsibility for the content of their own work and following good scientific practice.

Content

• Metropolia UAS as a study environment
• Learning and study skills
• Working life knowledge related to specific fields of work

• English for technology and working life
• Oral and written reporting
• Intercultural communication

• Basic knowledge and skills in information security and data protection
• Training and critically evaluating your own AI model
• Understanding the concepts underlying AI and the correct context of use

Location and time

Autumn 2024, 1st period
Metropolia UAS, Leiritie campus (Myyrmäki)

Materials

Teachers provides the material

Teaching methods

Lectures and self-study
No remote participation possibility
Team and individual tasks

Student workload

Weekly lectures and lessons, additionally students work with assigned tasks.
Student workload 135 hrs in total (50 % lectures, 50% self-study and assignments)

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working situations
• understands the importance of expertise in the field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working situations
• is able to analyse their expertise in their field and their own development towards expertise.

Assessment methods and criteria

Course is assessed on scale of 0 - 5. Details and requirements are explained at the beginning of the course.