Artificial Intelligence (AI) is one of the most impactful technologies in the 21st Century. From video-games to self-driving cars to automation of administrative processes, artificial intelligence is becoming an evermore present in our modern society.
Time and duration
The course runs:
- 5 October to 2 November 2020.
General study competence or real competence.
The course is intended for people who are unemployed / laid off as a result of the corona pandemic. It is suitable for managers, entrepreneurs and professionals interested on actionable understanding of AI.
The course is free.
How to apply
Open link to Søknadsweb
- Log in via "ID-porten"
- Select "New Application"
- Select "Teknologiske fag"
- Select "Kortere nettbaserte emner høsten 2020"
- Select your course from the drop-down list
- Save your application
If you need to upload documentation, you can do so under "My Documents"
This course is intended for people who are unemployed / laid off as a result of the corona pandemic.
For questions regarding your application, please contact email@example.com.
The growing applications of AI has transformed the industry, how we work and how we live.
As any technology, AI has potentials, limitations and challenges to overcome in order to be useful.
To do so, society must become aware of its true AI’s true potential - what it can do and what it cannot do - and learn how this technology works.
The OsloMet Artificial Intelligence Programme: Foundations of Artificial Intelligence and Machine Learning aims to provide a sound understanding of AI technologies: its history, functionality, capabilities, as well as its limitations and challenges.
To critically appraise AI technologies, you will get in contact with diverse perspectives on the ethical, legal and social considerations around AI.
Without any coding, you will be introduced to the mechanics and processes involved in building a working AI system.
Finally, you will assess all the perspectives surrounding AI and then be encouraged to express your own critical judgement about the potentials of the technologies in their own professional context.
On successful completion of this course you will have knowledge of:
- the history of AI, its current trends and breakthroughs as well as its current challenges
- the main areas and methods of AI including machine learning, computer vision, natural language processing and deep learning
- the theoretical and practical aspects involved in designing and employing AI technologies
- the multiple use-cases for AI in different professional sectors. Its value propositions and their business models
- the issues that AI brings to ethics, economy and work-labor market.
On successful completion of this course you will have the ability to:
- identify and discriminate problems that may be better solved with AI technologies from those that are not
- understand which AI methodology is most suitable to solve a problem
- understand how your professional lives may be affected (improved or threatened) by AI technologies.
On successful completion of this course the student can apply:
- the theory underlying AI and its history to better understand news and its consequences, as well as become better at identifying fake-news on AI
- concepts in AI methodologies to critically assess potentials and risks of using AI technologies on a given problem
- use-case examples to identify business and professional opportunities, as well as identify actionable steps to cease them.
Lectures, group discussions, and demonstrations using pre-developed AI models in Python using Jupyter Notebooks.
There is no mandatory curriculum on this course. Recommended literature and other material will be made available in Canvas.
Semester overview and course plan
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Exam and Assessment
20 minutes oral presentation with slides (might be in video) discussing one use-case of AI technology. It can take the form of a critical assessment of the technology or its application, a business proposition, or a plan for implementation.
Assessment grades: Passed/not passed