Courses for Exchange Students (ECTS) 2018/2019
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Artificial Intelligence |
| Spring week 04 (2019) - 13 (2019) | Appl.code: 51076 |
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Part-time, daytime class |
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ECTS credits: 7.5 |
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Level of education: First Cycle (undergraduate level) |
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Level: G1F |
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Prerequisites: Data Structures and Algorithms, 7.5 Credits, Object-Oriented Programming, 7.5 Credits. |
| Content: Advanced data processing with techniques from Artificial Intelligence (AI) is becoming increasingly more common in areas such as decision support, information search, medical diagnostics, vehicle and robot control, computer games etc. . The course gives knowledge on basic techniques and concepts in Artificial Intelligence like search and planning, machine learning , knowledge representation and intelligent agents. Understanding of the theory is enhanced by practical programming projects. |
| Teaching Methods: Undervisningen bedrivs i form av föreläsningar och datorlaborationer. Föreligger behov kan föreläsningarna kompletteras med teoretiska övningar. |
| Assessment: Written examination as well as oral and written reporting of programming tasks. |
| Course Coordinator: Franziska Klügl |
| Course Syllabus: Spring 2019 |
| School: School of Science and Technology |