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Lecturer(s)
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Kubátová Jaroslava, doc. Ing. Ph.D.
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Course content
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Course content: 1. What is artificial intelligence? 2. Problem-solving using artificial intelligence 3. Artificial intelligence in the real world 4. Machine learning 5. Neural networks 6. Applications and societal implications of artificial intelligence
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Learning activities and teaching methods
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Work with Text (with Book, Textbook), Methods of Written Work
- Homework for Teaching
- 26 hours per semester
- Attendace
- 26 hours per semester
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Learning outcomes
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The aim of the course is to introduce students to the basic elements of artificial intelligence and to show what can and cannot be achieved using it. The course combines theory with practical tasks. Students will learn how they can start using AI. The course is fully online and students complete the course at their own pace while meeting the requirements. The course includes elements of peer-to-peer assessment. More information about the course and its creators is available here https://www.elementsofai.cz/
Students will gain knowledge in the following areas: Definition of Artificial Intelligence (AI) AI-assisted search and problem-solving Describing mathematical theories used in AI Machine learning Neural networks Societal implications of AI
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Prerequisites
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No prerequisites for the course are set
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Assessment methods and criteria
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Final Report
Students will sign up for the course by following the instructions here https://course.elementsofai.com/cs/signup. Students will receive a certificate with a unique URL for completing the course, which will be available in their course profile. To receive the certificate, they must complete at least 90% of the assignments, of which at least 50% must be answered correctly. Correctness is calculated as the average correctness of all completed tasks (i.e. all tasks are weighted equally). Open-ended answers are counted as 100% correct if they have been approved in the peer-to-peer assessment. For the course, Moodle will be available at the FoA, PU at the beginning of the semester, to which students will upload a document as an assignment after the course, which will contain: 1) the active URL of their certificate and 2) print screens of their answers to assignments 4, 15, 23, 24 and 25. This document must be uploaded to Moodle no later than January 15 if the student enrolled in the course in the winter term, or May 30 if the student enrolled in the course in the summer term. If the assignment is graded as incomplete by the professor, a reworked version has to be uploaded within one week after the negative assessment is given. A maximum of two attempts to complete the assignment are possible. Failure to submit the assignment by the due date will also be assessed as an incomplete assignment. Assignments will be checked in bulk after the submission deadlines. For organisational reasons, the course cannot be finished before 15 January/30 May!
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Recommended literature
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