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Lecturer(s)
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Course content
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Element of AI is an open online course with 6 thematic chapters: - what is Artificial Intelligence? - problem solving using Artificial Intelligence - artificial intelligence in the real world - machine learning - neural networks - implications Each of the chapters contains text and interactive elements that are designed to support learning. The online course format will give students the opportunity to schedule the work at their own pace and time. The time commitment to complete the online course ranges from 20-50 hours, depending on prior knowledge of the topic and learning approach.
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Learning activities and teaching methods
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unspecified, unspecified
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Learning outcomes
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After successfully completing the course the student will be able to understand: - what is autonomy and adaptability in the context of artificial intelligence - how the Turing test works - how to formulate a real-world problem in a form that is searchable - what is a neural network - what technical methods form the basis for neural networks - how challenging it is to predict the future - what are the main societal impacts of AI, including algorithmic bias, AI-generated content
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
To successfully complete a course for which a student receives 3 credits, the following is required: - successfully complete the online course "Elements of AI" in Czech or English at: https://course.elementsofai.com - complete the Elements of AI course form, including a link to the certificate at: https://forms.gle/An5fc7xJ4hzmQrQ97 Assessment of course is based on exercises, including multiple choice quizzes, numerical exercises, and questions that require a written answer. The multiple choice and numerical exercises are automatically checked, and the exercises with written answers are reviewed by other students (peer grading) and in some cases by the instructors. Successful completion of the course requires at least 90% completed exercises and minimum 50% correctness. The course is graded as pass/fail (no numerical grades).
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Recommended literature
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