| TNM096 |
Artificial Intelligence - Principles and Techniques , 6 ECTS credits.
/Artificiell intelligens - principer och tekniker /
For:
CS
DAV
MT
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OBS! |
The course cannot be included in the same degree as TDDC17
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Prel. scheduled
hours: 34
Rec. self-study hours: 126
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Area of Education: Technology
Main field of studies: Media Technology
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Advancement level
(G1, G2, A): G2
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Aim:
The aim of the course is to introduce the main concepts of artificial intelligence (AI) including techniques for problem solving, knowledge representation and reasoning, and learning. After the course the student will be able to
- explain and discuss artificial intelligence concepts
- apply well known artificial intelligence techniques.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Programming in imperative programming language (like Java or C++). Knowledge of data structures and algorithms.
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Artificial Intelligence for Interactive Media
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Organisation:
The course consists of a series of lectures and laboratory work where different AI techniques are implemented using Java or C++.
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Course contents:
Search as a problem-solving method. Knowledge representation and reasoning. Reasoning with incomplete information and probabilistic reasoning. Planning. Machine learning.
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Course literature:
Course material.
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Examination: |
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Laboratory work
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6 ECTS
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Course language is English.
Department offering the course: ITN.
Director of Studies: Camilla Forsell
Examiner: Pierangelo Dell’Acqua
Link to the course homepage at the department
Course Syllabus in Swedish
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