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AI, artificial intelligence, smart devices, machine learning... These words
are heard more and more often. AI is permeating many fields of human
activity, from drug development to choosing a partner. In collaboration with
the University of Helsinki, we offer the "Elements of AI" course, which
introduces you to the topic of AI without the need to programing. The course
is designed for beginners in the field of AI. More: www.aivk.cz.
Last update: Holan Tomáš, RNDr., Ph.D. (18.04.2024)
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This is a very basic course for absolute beginners, especially for non-MFF students.
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 Presentations, seminars, workshops or collaborative reading of articles are designed to deepen the knowledge gained in the online course. Last update: Rosa Rudolf, Mgr., Ph.D. (13.02.2024)
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To successfully complete a course for which a student receives 3 credits, the following is required:
About the online course evaluation: Assessment 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).
We register credits for the course continuously, usually about once a month.
If the duration of the exam period is essential for your studies, from our point of view the dates are governed by the MFF UK academic calendar, course enrollement is required during the regular course registration period.
We recommend completing the course at least 14 days before the date by which you wish to receive the certifikate (among other things, you may have to wait for the peer grading for a while).
The course can be taken only once within studies at the faculty, it is not possible to get credits for it repeatedly. (Not even if you took the course under a different code, such as TVOL0007.) Last update: Hannemann Tereza, Mgr., Ph.D. (04.09.2024)
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To the online course:
Direct link to the online course: https://course.elementsofai.com/ For more information: https://www.elementsofai.com/ or https://www.elementsofai.cz/
On artificial intelligence in general:
Stuart Russell and Peter Norvig. Artificial Intelligence: A Modern Approach (4th Edition). Pearson, 2020. http://aima.cs.berkeley.edu Ian Goodfellow and Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press, 2016. https://www.deeplearningbook.org/
AI in various fields:
Gundersen, T., & Bærøe, K. (2022). The Future Ethics of Artificial Intelligence in Medicine: Making Sense of Collaborative Models. Science and Engineering Ethics, 28(2), 1-16. Schapals, A. K., & Porlezza, C. (2020). Assistance or resistance? Evaluating the intersection of automated journalism and journalistic role conceptions. Media and Communication, 8(3), 16-26. Liao, S. M. (Ed.). (2020). Ethics of artificial intelligence. Oxford University Press. McCormack, J., Bown, O., Dorin, A., McCabe, J., Monro, G., & Whitelaw, M. (2014). Ten questions concerning generative computer art. Leonardo, 47(2), 135-141. Last update: Hannemann Tereza, Mgr., Ph.D. (20.05.2022)
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The course will consist of the mandatory online “Elements of AI” course, which is free in Czech and English. The course can be taken and completed independently at the student's own pace.
The course will include lectures, seminars, workshops or collaborative reading of texts. Participation in the face-to-face events is voluntary, and we encourage students who wish to deepen their knowledge of AI beyond the online course to attend. Last update: Holan Tomáš, RNDr., Ph.D. (12.05.2022)
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Element of AI is an open online course with 6 thematic chapters:
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. 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.
The Elements of AI+ course also offers the opportunity to voluntarily attend lectures, seminars, workshops or collaborative reading of texts focusing on artificial intelligence. These "events" will extend the online course with additional knowledge, especially the workshops will be conducted to give students and instructors a chance to meet. A list of "events" for the current semester will be continuously published here:
__ Course guarantors: Tereza Hannemann and Rudolf Rosa from Matfyz are available to help all students at: elements-of-AI@ksvi.mff.cuni.cz. Questions concerning the "operation" of the course, i.e. technical and administrative matters, as well as questions that are directed at the content of the online course itself can be directed here.
Students of theological faculties can contact František Štěch of the Protestant -Theological Faculty with questions about the content of the online course. Students of the Faculty of Arts can contact Nikol Kopáňková from the Department of Psychology with questions about the content of the online course. Students of the Faculty of Social Sciences can contact Veronika Mackova from the Department of Journalism (Institute of Communication Studies and Journalism) with questions about the content of the online course. Last update: Hannemann Tereza, Mgr., Ph.D. (11.04.2024)
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