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\n±¬ÁϳԹÏÍø profiles <\/h3>\n\n\n\n
Each profile has a set of required courses<\/strong> and a set of related (optional) courses<\/strong> associated with it. A student realises a profile if she\/he has successfully validated all the required courses in a profile.<\/p>\n\n\n\nTo obtain the master degree, a student must realise at least one profile. By limiting the number of required courses in each semester we ensure that the student can pursue multiple profiles if she\/he desires so.<\/p>\n\n\n\n
Note that the set of profiles is not static. Indeed additional profiles<\/strong> may be introduced to accommodate student, professor or industry needs.<\/p>\n\n\n\n\n
Artificial Intelligence profile <\/h3>\n\n\n\n
Learning outcomes: <\/strong><\/p>\n\n\n\nAfter successful completion of this profile the student will be able to<\/p>\n\n\n\n
\n- Use state-of-the-art approaches and tools for assessing large amounts of data<\/li>\n\n\n\n
- Explore and extract knowledge from large and\/or complex information bases<\/li>\n\n\n\n
- Implement and apply machine learning methods for solving common AI problems<\/li>\n\n\n\n
- Use logical methods to formalise knowledge and to reason about it, in particular in multi-agent systems and deontic contexts<\/li>\n<\/ul>\n\n\n\n
Semester 2<\/em><\/strong><\/p>\n\n\n\nRequired Courses:<\/strong><\/p>\n\n\n\n\n- Big Data Analytics<\/li>\n<\/ul>\n\n\n\n
\n- Intelligent Agents I<\/li>\n<\/ul>\n\n\n\n
\n- Knowledge Discovery and Data Mining<\/li>\n<\/ul>\n\n\n\n
Related Courses:<\/strong><\/p>\n\n\n\n\n- Introduction to Mathematical Statistics (from math)<\/li>\n<\/ul>\n\n\n\n
\n- Formal Methods<\/li>\n<\/ul>\n\n\n\n
\n- Optimisation for Computer Science<\/li>\n<\/ul>\n\n\n\n
\n- Information Theory and Coding<\/li>\n<\/ul>\n\n\n\n
Semester 3<\/em><\/strong><\/p>\n\n\n\nRequired Courses:<\/strong><\/p>\n\n\n\n\n- Intelligent Agents II<\/li>\n<\/ul>\n\n\n\n
\n- Machine Learning<\/li>\n<\/ul>\n\n\n\n
Related Courses:<\/strong><\/p>\n\n\n\n\n- Fundamentals of Causal Learning<\/li>\n<\/ul>\n\n\n\n
\n- Autonomous Robot Software<\/li>\n<\/ul>\n\n\n\n
\n- Parallel and Grid Computing<\/li>\n<\/ul>\n\n\n\n
\n- Selected Topics from AI<\/li>\n<\/ul>\n<\/div><\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":52,"featured_media":0,"parent":1211,"menu_order":0,"template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"Master in Information and Computer Science","uluxPrePostTitle":"Studies","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"study_program_identifiers":"MAINFCOMPSCI2__F1_MA_MICS2__F1_M_MICS2","override_seo_title":false},"type-of-studies":[],"teaching-languages":[],"field-of-interest":[],"organisation":[29],"authorship":[52,254],"acf":[],"yoast_head":"\nArtificial Intelligence Master in Information and Computer Sciences - FSTM - ±¬ÁϳԹÏÍø I Uni.lu<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n\n\n\t\n