You will be given instructions for course registration in the MOOC online learning environment after completing the course. If you wish to have the ECTS entered in the University of Helsinki’s student records, you must register for the course at the Open University. No formal prerequisites beyond high-school mathematics (basic arithmetics with fractions), The course material is available at https://course.elementsofai.com/. Click here for frequently asked questions (e.g., information on course assessment, duration and credits). How will artificial intelligence develop? ALSO NOTE: Are you wondering what it takes to complete the course? Now, University of Finland, in association with Reaktor, has started a sequel to “Elements of AI”.The new course is called “Building AI”. Teemu Roos. The course is part of the subject studies in Computer Science. Credits for July course completions will be registered in August. Real world AI 4. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right, which include multiple choice quizzes, numerical exercises, and questions that … “We want to deliver free AI education to at least 1% of the Irish population” The free Elements of AI online course will be hosted in Ireland by University College Cork. The vast majority of software and systems already incorporate elements of AI, in its broadest sense, specifically in regard to machine learning. To register for the Oma Opintopolku – service you must identify yourself by using Finnish bank identification codes, mobile certificate or certificate card. Comprised of six sections, the course sheds light on various aspects of AI, including definitions, neural networks, machine learning and societal implications. If you want to view and share information about your studies after completing the course, sign up for the Oma Opintopolku -service maintained by the Finnish National Agency for Education. Course overview. When you have completed Elements of AI (either the Swedish or the English version of the course) you can register to this course to get your results validated. The course credits will be registered within 4 to 6 weeks of enrollment. Open University’s studies are mainly organized online. For further information, please see the course description. The Elements of AI course is created by Reaktor and the University of Helsinki. In order to enroll you will need to meet one of the following criteria: If you enter erroneous information when enrolling, we cannot register your credits. Click here for frequently asked questions (e.g., information on course assessment, duration and credits). The program utilizes the experts in the field and it is a joint effort of Aalto PRO, University of Helsinki HY+ and Finnish Center for Artificial Intelligence FCAI. You can study the course independently in the online learning environment of the course at https://www.elementsofai.com/. These courses are mainly held at the faculty: After completing the course, the student will be able to: Exercises including multiple choice quizzes, numerical exercises, and questions that require a written answer, The multiple choice and numerical exercises are automatically checked, The exercises with written answers are reviewed by other students (peer grading) and in some cases by the instructors, The course material is available at https://course.elementsofai.com/. Free and open to all, the beautifully designed Elements of AI is an online course like no other: It explains what artificial intelligence is, what it can (and can’t) do, and how it affects our lives – all in easy-to-grasp terms, with no programming or complicated math required.. What is artificial intelligence? Teemu Roos. Posted by 1 year ago. Content of the course: teacher in charge of the course. How does it affect your work and life? If you wish to have the ECTS entered in the University of Helsinki’s student records, you must enroll on the course at the Open University. No prior knowledge is required — beginners can start to learn programming basics from the Programming with Java course, or start to get familiar with artificial intelligence from the course Elements of Ai. What is AI? Course difficulty Beginner Intermediate Advanced . Students and international students at the University of Helsinki can enrol on the course with their University of Helsinki username. The material is divided in six chapters which are: 1. New free certificate course offered by reaktor in association with University of Helsinki, Finland. The course will help equip you with the understanding and skillsets required for assessing the world we live in through the lens of AI. Practical instructions for studyingAr­range­ments for stu­dents in need of spe­cial sup­port. The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required. The course aims to make AI more understandable. Joensuu, M. (Attendee) University of Helsinki; Tvärminne Benthic Ecology Team; Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars. More info. Credits for July course completions will be registered in August. The cornerstones of such growth are: digitalisation, artificial intellige… Vēlamies aicināt iespējami plašu cilvēku loku uzzināt, kas ir MI, ko ar to var (un nevar) paveikt un kā sākt pašiem veidot MI metodes. ALSO NOTE: Are you wondering what it takes to complete the course? Open University reserves the right to make changes to the study programme. To register for the Oma Opintopolku – service you must identify yourself by using Finnish bank identification codes, mobile certificate or certificate card. If you want to view and share information about your studies after completing the course, sign up for the Oma Opintopolku -service maintained by the Finnish National Agency for Education. No formal prerequisites beyond high-school mathematics (basic arithmetics with fractions) Open University’s studies are mainly organized online. It was a news item in the Times of… Taking this course does not give students access to a University of Helsinki user account. Building AI is a free online course where you'll learn about the actual algorithms that make creating AI methods possible. Course materials are available for everyone without officially registering on the course. Box 4 (Yliopistonkatu 3)00014 University of Helsinki, Suitable for upper secondary school students, Arrangements for students in need of special support, Click here for frequently asked questions (e.g., information on course assessment, duration and credits), instructions for the registration process on this page, Ar­range­ments for stu­dents in need of spe­cial sup­port, the Finnish National Agency for Education, avoinyo-tietojenkasittelytiede@helsinki.fi, https://spectrum.chat/elementsofai?tab=posts, DEFA studies of the Department of Computer Science (fin), You will be given instructions for course enrollment in the, The course enrollment form is open for a pre-defined period only (until 31th of August 2021). The course spans across 6 modules and 30 hours, and provides a gentle introduction to the basics of artificial intelligence. People in Finland can also earn 2 ECTS credits through the Open University. After the course, if the student wishes to continue learning about AI, we recommend learning some programming and taking introductory AI courses. Questions regarding the learning environment: Questions about registering at the Open University: If you have questions about DEFA studies, please contact. Elements of AI. You can study the course independently in the online learning environment of the course at https://www.elementsofai.com/. How is artificial intelligence likely to change my job in the next ten years? The ECTS will be displayed within two days in the Oma Opintopolku -service after credits have been registered to the University of Helsinki. The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. The course is a MOOC (Massive Open Online Course) course available for everyone free of charge. “The goal of this course is to demystify AI The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated mathematics or programming required. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. suitable for all students in any study programme, the target audience is especially students with little or no computer science studies, a follow-up MOOC "AI Programming" will begin in Spring 2019, DATA15001 Introduction to AI is a closely related intermediate course that also includes programming exercises on the same topics, DATA11001 Introduction to Data Science (advanced course), DATA11002 Introduction to Machine Learning (advanced course), closely related Bachelor programmes include the Bachelor of Science and Bachelor of Computer Science, closely related Master's programmes include the Master of Data Science and Master of Computer Science, Identify autonomy and adaptivity as key concepts of AI, Distinguish between realistic and unrealistic AI (science fiction vs. real life), Express the basic philosophical problems related to AI including the implications of the Turing test and Chinese room thought experiment, Formulate a real-world problem as a search problem, Formulate a simple game (such as tic-tac-toe) as a game tree, Use the minimax principle to find optimal moves in a limited-size game tree, Express probabilities in terms of natural frequencies, Apply the Bayes rule to infer risks in simple scenarios, Explain the base-rate fallacy and avoid it by applying Bayesian reasoning, Explain why machine learning techniques are used, Distinguish between unsupervised and supervised machine learning scenarios, Explain the principles of three supervised classification methods: the nearest neighbor method, linear regression, and logistic regression, Explain what a neural network is and where they are being successfully used, Understand the technical methods that underpin neural networks, Understand the difficulty in predicting the future and be able to better evaluate the claims made about AI, Identify some of the major societal implications of AI including algorithmic bias, AI-generated content, privacy, and work, the course can be started at any time, and completed at any pace, formulating and solving problems using state diagrams, formulating simple games (tic-tac-toe or chess) as game trees, solving game trees using the minimax algorithm, critical evaluation of claims made about AI (e.g., singularity, AI winter), The course material contains text and interactive elements, The exercises are designed to challenge the student to re-read the material and access further sources enough to be able to produce an answer, Successful completion requires 90% completed exercises and minimum 50% correctness, Only one attempt is allowed in the multiple choice quizzes and numerical exercises, Exercises with written answers are accepted or rejected based on the reviews: in case of rejection, another attempt is allowed (as many times as required). , which requires no complicated math or programming skills to take the course Introduction to building! 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