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School of Science and Technology

Course Syllabus


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


Course Code: DT4022 Subject Area: Field of Technology
Main Field of Study: Computer Technology Credits: 7.5
    Subject Group (SCB): Computer Science
Education Cycle: Second Cycle Progression: A1N
Established: 2008-11-05 Last Approved: 2010-03-31
Valid from: Autumn semester 2010 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

The goal of the course:
- The principles of quantitative perception (sensing) and the devices and algorithms (sensors) that implement them.
- Learn to critically examine the sensing requirements of proposed applications of robotics to real problems.
- To design and employ the computing systems that can cope with true capabilities of available sensors.


Main Content of the Course

The contents are:
- Measurements: combining multiple signal and noise sources
- Data acquisition
- Light and image sensors
- Imaging and range-finding instruments
- Sound and touch sensing
- Navigation sensing
- Chemical sensing.


Teaching Methods

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

Examnination, 7.5 Credits. (Code: 0100)
To complete the course the students need to achieve a passing grade on a written examination and obtain a passing grade on the laborations.

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


Grades

Unless otherwise prescribed in the course syllabus, a grade is to be awarded on completion of a course. The grade is to be determined by a teacher specifically appointed by the higher education institution (an examiner) (Chapter 6, Section 18, Higher Education Ordinance).

Unless the higher education institution prescribes another grading system, one of the following grades is to be used: fail, pass, or pass with distinction (Chapter 6, Section 19, Higher Education Ordinance).

Grades used on course are Fail (U), Pass (G) or Pass with Distinction (VG).

Examnination
Grades used are Fail (U), Pass (G) or Pass with Distinction (VG).

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


Specific entry requirements

The applicant must have completed a Bachelor degree, comparable to a Swedish Bachelor degree, from an institution of higher education of three years or more. The Bachelor degree must include courses in mathematics: calculus, algebra and computer engineering: programming, algorithms and data structures. If the applicant's first language is not English, knowledge in English must be documented by an internationally recognized proficiency test.

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

Required Reading

Fraden, Jacob 2004/3rd ed.
Handbook of Modern Sensors Physics, Designs, and Applications
XVIII, 590 p. 403 illus., Hardcover, ISBN: 978-0-387-00750-2


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