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AI-enabled Early Innovation (3 cr)

Code: PR10060-3001

General information


Enrollment

01.10.2024 - 31.10.2024

Timing

27.01.2025 - 28.02.2025

Number of ECTS credits allocated

3 op

RDI portion

3 op

Mode of delivery

Contact teaching

Unit

Restonomikoulutus (PR)

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • English

Seats

5 - 30

Degree programmes

  • Degree Programme in Tourism and Service Business

Teachers

  • Heikki Immonen

Teacher in charge

Heikki Immonen

Groups

  • TOP24_25
    Other Complimentary Studies Group Semester 2024-2025

Teaching methods

After completing this course, you will understand how to use artificial intelligence in early-stage innovation. You will learn how to assess your skills, values, and resources, and apply these in developing business ideas. You will be able to work in a team to create and refine new product or service concepts, using AI and structured problem-solving methods.



You will be able to generate, evaluate, and improve innovative ideas by working with others and considering customer needs and competitive insights. Additionally, you will be skilled in explaining the unique value of your ideas, creating value propositions, and defining early prototypes.

The course is part of the INVEST 2.0 (INnoVations of REgional Sustainability: European UniversiTy Alliance) project funded by Erasmus+ Programme of the European Union.



The teaching language is English. Participating in the course is considered as consent to participate in the research carried out in the project. Assignments, online discussions and other material produced during the course can be used as research material. The identities of the participants cannot be identified from the research reports. Part of the course assignments can be published.

Evaluation scale

H-5

Assessment methods and criteria

The course is evaluated on a scale of 0-5, where 5 is excellent, 1 is satisfactory and 0 is failed. The evaluation of the course is based on the approved completion of all assignments:

Preliminary assignment (15%), individual exams (35%), documentation of the work (30%), pitching (20%).

To pass the course, you will have to complete all assignments.

Active participation during the onsite phase can increase the assessment.