School of Science and Technology

Course Syllabus

General aims for first cycle education

First-cycle courses and study programmes shall develop:
- the ability of students to make independent and critical assessments
- the ability of students to identify, formulate and solve problems autonomously, and
- the preparedness of students to deal with changes in working life.

In addition to knowledge and skills in their field of study, students shall develop the ability to:
- gather and interpret information at a scholarly level
- stay abreast of the development of knowledge, and
- communicate their knowledge to others, including those who lack specialist knowledge in the field.

(Higher Education Act, Chapter 1, Section 8)

Knowledge and comprehension
After completed course the student shall be able to
-explain the principles behind intelligent systems and solutions,
-discuss the relevance of problem- and knowledge modelling,
-apply and assess solutions based on search, planning, knowledge representation and reasoning and other classical areas of Artificial Intelligence, and
-formulate problems and analyze solutions in modern areas such as Intelligent Agents, Probabilistic Reasoning or Machine Learning.

Proficiency and ability
After completed course the student shall be able to:
-model simple problems for the application of intelligent problem solving methods,
-apply intelligent algorithms in an appropriate programming language and suitable problem context, and
-discuss and evaluate which is the best intelligent method for solving particular problems.

Values and attitude
After completed course the student shall have a professional relation to the context, usage and implementation of intelligent methods.

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 3, 4, 5 or Fail (U).

The course grading is translated to the ECTS grading scale.
As a grade of the course, the grade from the theory part is given, given that the laboratory tests are approved.

For further information, see the university's local examination regulations (in Swedish).

Data Structures and Algorithms, 7.5 Credits, Object-Oriented Programming, 7.5 Credits.

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).

Required Reading

See this Course Syllabus as PDF