Den här sidan är utskriven från Högskolan i Halmstads webbplats (www.hh.se). Texten uppdaterades senast den 2018-06-13. Besök webbplatsen om du vill vara säker på att läsa den senaste versionen.
Master's Programme (120 credits) in Embedded and Intelligent Systems , 120 credits
This is an education for students wanting technical specialist competence, research experience and better career opportunities after their education. The programme requires a previous education in the computer science, computer engineering, electrical engineering or information and communication technology fields.
During the studies you will be in direct connection with the University's research since the teaching is carried on by active researchers. Many of the courses are project based and give the opportunity to study international research. The thesis work is done in the fourth semester. Most students then cooperate with one of our research groups, in many cases with industrial connection. There is also the opportunity to do a thesis work with innovation profiling.
The programme is offered in English.
As a student in this programme you choose one of the following specialisations:
Communication systems, focusing on communication in real-time computer systems. Core subjects are Computer networks, Real-time communication, and Wireless communication.
Embedded systems, dealing with new methods in computer architecture, particularly co-operating embedded systems. Core subjects of this specialisation are computer architecture, system-on-a-chip design and programming for embedded systems.
Intelligent systems, focusing on how to create autonomous and self-regulating computer systems. Core subjects are artificial intelligence, image- and signal analysis, control theory and techniques for sensoric and motoric systems.
The degree is 120 credits. For obtaining the degree is required that the prerequisites of the programme are fulfilled and in addition to this that at least 120 credits have been obtained following the directions in the Study Programme.
Upon completion of the degree programme, a degree certificate will be issued bearing the degree programme title in Swedish: Teknologie masterexamen med huvudområdet datateknik. In English: Degree of Master of Science (Two Years) with a major in Computer Science and Engineering.
In the degree certificate is also stated the specialisation of the education: Embedded and Intelligent Systems.
Specific eligibility requirements
Bachelor of Science degree (or equivalent) in an engineering subject or in computer science.
Courses in computer science, computer engineering or electrical engineering of at least 90 higher education credits, including thesis.
Courses in mathematics of at least 30 higher education credits or courses including calculus, linear algebra and transform methods.
Degrees from other countries than Sweden must be at the same level as a Swedish Bachelor's degree in electrical engineering.
Applicants must have written and verbal command of the English language. This may be proved by having passed English A in Swedish secondary school. It may also be proved by such tests as TOEFL (500/173/61), IELTS 5.0 or the equivalent.
There are further prerequisites for some of the optional courses within the programme.
Selection rules and procedure
Available for exchange students. Limited numbers of seats.
Applied Mathematics for Computer Science and Engineering, 7.5 credits
Cooperating Intelligent Systems, 7.5 credits
Embedded Systems Programming, 7.5 credits
Signal Analysis and Representation, 7.5 credits
Design of Embedded and Intelligent Systems, 15 credits
Thesis, 30 credits
Optional specialization packages (each students selects one of the three)
Computer Languages, 7.5 credits
Distributed Real-Time Systems, 7.5 credits
Embedded Parallel Computing, 7.5 credits
Real-Time Networking, 7.5 credits
Autonomous Mechatronical Systems, 7.5 credits
Digital Control, 7.5 credits
Intelligent Vehicles, 7.5 credits
Learning Systems, 7.5 credits
Channel Coding and Digital Communications, 7.5 credits
Modern Communication Systems and Networks, 7,5 credits
Real-Time Networking, 7.5 credits
Wireless Communication Systems, 7.5 credits
Other optional courses
Advanced Sensor Systems, 7.5 hp
Algorithms and Data Structures, 7.5 hp
Computer Vision in 3D, 7.5 hp
Image Analysis, 7.5 hp
Optical Communication, 7.5 hp
Random processes, 7.5 hp
System-on-a-Chip Design, 7.5 hp
Subject to changes.
Phone +46 35 16 71 23
Eva Strid Andersson
Phone +46 35 16 72 29
Phone +46 35 16 71 00
Rate of study:
Autumn semester 2010
Last date for applying:
April 15, 2010