This course syllabus is discontinued or replaced by a new course syllabus. |
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Course Syllabus |
Computer Science, Advanced Artificial Intelligence, Second Cycle, 7.5 Credits |
Course Code: | DT4048 | Subject Area: | Field of Technology |
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Main Field of Study: | Computer Science | Credits: | 7.5 |
Subject Group (SCB): | Computer Science | ||
Education Cycle: | Second Cycle | Progression: | A1N |
Established: | 2013-12-09 | Last Approved: | 2018-04-27 |
Valid from: | Autumn semester 2017 | Approved by: | Head of School |
General aims for second cycle education
Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall
- further develop the ability of students to integrate and make autonomous use of their knowledge
- develop the students' ability to deal with complex phenomena, issues and situations, and
- develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.
(Higher Education Act, Chapter 1, Section 9)
Knowledge and understanding
After the course the participant should
- understand how problem structure relates to the formal properties of the problem, and
- understand the computational bottlenecks of different problem solving algorithms.
Applied knowledge and skills
After the course the participant should be able to
- formulate real-world problems as search problems, and sketch methods to solve them based on uninformed, heuristic and constraint-based search, and
- decide the most appropriate algorithm for solving given problems.
Judgement and approach
After the course the participant should be able to
- make judgments with regards to relevant scientific, societal and ethical aspects, and
- decide whether a given problem is tractable or requires exponential time for automated solving.
The course will cover the following topics:
- Introduction to intelligent agents,
- problem solving and search: uninformed and informed search strategies,
- constraint reasoning, backtracking search and
- boolean satisfiability, the DPLL algorithm.
The course is given in the form of lectures.
Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.
For further information, see the university's local examination regulations (in Swedish).
According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may prescribe which grading system shall apply. The grade is to be determined by a teacher specifically appointed by the university (an examiner).
According to regulations on grading systems for first- and second-cycle education (vice-chancellor's decision 2010-10-19, reg. no. CF 12-540/2010), one of the following grades is to be used: fail, pass, or pass with distinction. The vice-chancellor or a person appointed by the vice-chancellor may decide on exceptions from this provision for a specific course, if there are special reasons.
Grades used on course are Fail (U), Pass (G) or Pass with Distinction (VG).
For further information, see the university's local examination regulations (in Swedish).
First-cycle degree of 180 credits, with Computer Science as the main field of study, and at least 15 credits in mathematics (analysis and algebra). The applicant must also have qualifications corresponding to the course "English B" or "English 6" from the Swedish Upper Secondary School.
OR
First-cycle degree of 180 credits, and at least 30 credits in mathematics (analysis and algebra), as well as at least 15 credits in Computer Science or Informatics (which includes programming). The applicant must also have qualifications corresponding to the course "English B" or "English 6" from the Swedish Upper Secondary School.
For further information, see the university's admission regulations (in Swedish).
Students who have previously completed higher education or other activities are, in accordance with the Higher Education Ordinance, entitled to have these credited towards the current programme, providing that the previous studies or activities meet certain criteria.
For further information, see the university's local credit transfer regulations (in Swedish).
The course is given in English.
Reading List and Other Teaching Materials
Required Reading
Ytterligare material kan tilldelas av läraren.
Additional material may be assigned by the teacher.