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<p>Copied contents from page Kurssitarjonta &amp; tutkintorakenteet</p> <p><b>Uusi sivu</b></p><div>== In-person attendance requirements / fully online courses ==<br /> {{hatnote|Note that online/remote attendance may be required on some courses. The requirements may also be negotiable or change between different instances of the same course.}}<br /> <br /> === Fully online courses ===<br /> {{hatnote|Note that online lectures may be available}}<br /> <br /> * Programming Parallel Computers<br /> * Big Data Platforms<br /> * Data Warehousing and Business Intelligence<br /> * Seminar on Big Data Management<br /> <br /> === In-person teaching available, but still possible to complete fully online ===<br /> <br /> * Data Science Study Skills<br /> * Academic Writing 1<br /> * Engineering of Machine Learning Systems<br /> * Network Analysis<br /> * Information Retrieval<br /> * Philosophy of Artificial Intelligence<br /> * Human-Computer Interaction<br /> * Interactive Data Visualization<br /> * Master&#039;s Thesis<br /> <br /> === Additional requirements for skipping in-person attendance ===<br /> {{hatnote|For example, an additional exercise may be required for skipping the final presentation}}<br /> <br /> * Introduction to Data Science<br /> * Introduction to Machine Learning<br /> * Seminar: Topics in Recommender Systems<br /> <br /> === In-person attendance required only at the end of the course ===<br /> {{hatnote|For example, attending an exam or presentation in person is required}}<br /> <br /> * Statistics for Data Science<br /> * Sustainability in Computer and Data Sciences II<br /> <br /> === In-person attendance required during course ===<br /> <br /> * Sustainability in Computer and Data Sciences I<br /> * Helsinki Digital Humanities Hackathon<br /> * Seminar on History of Computing</div>

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