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Emerging Technology Opportunities

Emerging Technology Opportunities

Code: DIG4HM104
Scope: 5 ECTS (135 h)
Timing: 1st - 2nd semester
Language: English
Curriculum: Master Curriculum

Suomenkielinen opintojaksokuvaus julkaistaan viimeistään tammikuussa 2020.

Starting level and linkage with other courses

Belongs to Master level studies. There are no other prerequisites.

Replacements

This course replaces New Opportunities of ICT (ISM4TX700).

Learning objectives and assessment

Upon successful completion of the course, the student is able to

  • identify current emerging technologies and trends and can evaluate their maturity
  • analyse how emerging and disruptive technologies transform businesses
  • identify business opportunities and analyse the challenges of new technologies

Passed courses are assessed on a scale of 1 to 5. The assessment criteria are presented for grades 1, 3 and 5.

Grade 1
The student has a basic understanding of the concepts and models of technology adoption and how disruptive technologies impact businesses. The student knows current emerging technologies and trends and can name their familiar opportunities and challenges on a general level.

Grade 3
The student has a good understanding of the concepts and models of technology adoption and how disruptive technologies impact businesses. The student knows current emerging technologies and trends well and can find high-level business opportunities and analyse the challenges in a chosen business domain.

Grade 5
The student has an excellent understanding of the concepts and models of technology adoption and how disruptive technologies impact businesses. The student knows current emerging technologies and trends excellently and can find concrete business opportunities and analyse the challenges in a chosen business domain.

Course contents

The contents of the course varies yearly based on the changing technology trends.

  • the impact of technology revolutions on businesses and human lives
  • current digital technology trends and emerging technologies, such as AI, IoT, VR/AR, cloud computing and mobile technology
  • models for evaluating the maturity and adoptions of new technologies
  • analysis of business opportunities and challenges of a technology topic chosen by the student

Learning methods

This is an all online course based on online study material and individual assignments. There are no contact lessons. The course can be started flexibly during the academic year and done according to student’s own schedule.

  • online webinars, individually chosen seminars and other methods
  • online exams
  • discussion forum
  • analysis and reporting of a technology topic
  • the assessment of one’s own learning

Recognition of prior learning (RPL)

If students have acquired the required competence in previous work tasks, recreational activities or on another course, they can show their competence via a demonstration and thus progress faster through their studies. More information and instructions for recognising and validating prior learning (RPL) are available at MyNet. The student shall prepare a report and presentation about a robotic process automation case to which s/he has made a substantial contribution.

Cooperation with the business community

The course material emphasizes the business aspects of the technologies instead of technical details. The topic for the final report can be freely chosen to support the business development of a company.

International dimension

The course material is composed of international webinars, videos and articles.

Teacher

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