This course syllabus is discontinued or replaced by a new course syllabus.

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School of Science and Technology

Course Syllabus


Computer Science, Sensors and Sensing, Second Cycle, 7.5 Credits


Course Code: DT4049 Subject Area: Field of Technology
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 2018 Approved by: Head of School


Aims and Objectives

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)

Course Objectives

After completed studies, the student shall have
- knowledge of the the different types of sensors commonly used on mobile robotic platforms, and
- understanding of the basic principles of operation of different types of sensors.

Competence and Skills
After completed studies, the student shall be able to
- configure, calibrate and use modern sensors in the context of mobile robots.

Judgement and Approach
After completed studies, the student shall be able to
- reason about limitations and advantages of different sensors in different application contexts, and
- discuss common practices and algorithms for processing raw sensor information.


Main Content of the Course

- The role of sensors in a probabilistic robotic framework
- Positioning sensors: encoders and accelerometers,
- range sensors: sonars, radars and laser range finders,
- image sensors: cameras,
- global positioning sensors: GPS and indoor localization systems,
- 3D range sensors: ToF, structured light and stereo vision,
- chemical sensors,
- calibration,
- noise modelling and characterization, and
- noise filtering and sensor data processing.


Teaching Methods

The course will be given in the form of a number of lectures and exercises.

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.


Examination Methods

Theory, 3 Credits. (Code: 0100)
Written exam.
A retake will be scheduled to take place within eleven weeks of the regular examination.
Laboratory Work, 4.5 Credits. (Code: 0200)
Written report of laboratory work.

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


Grades

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).

Theory
Grades used are Fail (U) or Pass (G).
Laboratory Work
Grades used are Fail (U), Pass (G) or Pass with Distinction (VG).


The final passing grade of the course module G or VG is then taken as the grade of the lab exercises.
The course grading is translated to the ECTS grading scale.


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


Specific entry requirements

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).


Transfer of Credits for Previous Studies

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).


Reading List and Other Teaching Materials

Additional Reading

de Silva, C. W. (2015)
Sensors and Actuators: Engineering System Instrumentation, Second Edition
CRC Press, ISBN: 9781466506817, 847 pages
Stoyanov, T. (2016)
Sensors and Sensing: Course Notes
online: http://www.aass.oru.se/Research/mro/courses/sens/notes.pdf


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