Open University

Tampere

Artificial Intelligence, Lectures

<p>Contact information<br>Email: <span class="spamspan"><span class="u">open.studies.tau</span> [at] <span class="d">tuni.fi</span></span><br>Phone: 0294 520 200</p><p>More information concerning Open University studies<br><a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a></p>

Advanced studies

Faculty of Information Technology and Communication Sciences

Technology and Natural Sciences

<p>Apply for Open University studies by using the following links:</p><p></p><ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-726272c9-82e2-4988-a1d8-aa7e7560a751_2023-tampere-DATAML310" target="_blank">DATA.ML.310 Artificial Intelligence, lectures, Tampere</a></li></ul><p>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.</p><p>Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.</p><p>When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.</p>

English

Hervanta Campus

Contact teaching

<p>Look information at <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a>.</p>

<h5>Core content</h5><ul><li>Problem solving and search</li><li>Uncertain knowledge and reasoning</li><li>Making complex decisions<br></li></ul><h5>Complementary knowledge</h5><ul><li>heuristic search</li><li>constraint satisfaction<br></li><li>probabilistic reasoning</li></ul><h5>Specialist knowledge</h5><ul><li>algorithm A*</li><li>natural language processing<br></li><li>probabilistic models<br></li></ul>

<h2>Common</h2><h3>Lecture: Prerecorded Lecture</h3><p>09.01.2024 10:00 - 12:00<br>12.01.2024 10:00 - 12:00<br>16.01.2024 10:00 - 12:00<br>19.01.2024 10:00 - 12:00<br>23.01.2024 10:00 - 12:00<br>26.01.2024 10:00 - 12:00<br>30.01.2024 10:00 - 12:00<br>02.02.2024 10:00 - 12:00<br>06.02.2024 10:00 - 12:00<br>09.02.2024 10:00 - 12:00<br>13.02.2024 10:00 - 12:00<br>16.02.2024 10:00 - 12:00<br>20.02.2024 10:00 - 12:00<br>23.02.2024 10:00 - 12:00<br></p><h2>Groups</h2><h3>Exercise: </h3><p>11.01.2024 10:00 - 12:00<br>18.01.2024 10:00 - 12:00<br>25.01.2024 10:00 - 12:00<br>01.02.2024 10:00 - 12:00<br>08.02.2024 10:00 - 12:00<br>15.02.2024 10:00 - 12:00<br>22.02.2024 10:00 - 12:00<br></p>

After completing the course the student will have an overview of different areas and techniques of artificial intelligence. In particular, the student is able to apply to problems arising in application fields the basic methods of solving problems by searching, informed search and exploration, inference in first-order logic, probabilistic reasoning, and reinforcement learning. Hands-on experience on artificial intelligence tools and techniques will be gathered in the weekly exercise sessions.

<h2>Prerequisites</h2><h5>Prerequisite</h5><ul><li>Code: SGN-13006/DATA.ML.100</li><li>Name: Introduction to Pattern Recognition and Machine Learning</li><li>ECTS credits: 5</li><li>Mandatory: Mandatory</li></ul><h2>Compulsory Prerequisites</h2><ul><li>Introduction to Pattern Recognition and Machine Learning, DATA.ML.100, 5 cr</li></ul>

<h5>Material</h5><ul><li>Type: Book</li><li>Name: Artificial Intelligence A Modern Approach</li><li>Author: Stuart J. Russell and Peter Norvig</li><li>Exam material: Yes</li><li>ISBN: 978-0-13-604259-4</li><li>Language: English</li><li>Info: Main part of the lectures follows this extensive text book.</li></ul>

Artificial Intelligence, Lectures

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Artificial Intelligence, 5 cr

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Artificial Intelligence, Lectures