Degree program objective:
The primary objective of the study program is that the student shall develop theoretical and practical competence for research, development and practical construction within the area of embedded and intelligent systems, based on computer and electrical engineering. The study program also has the objective that the student shall gain deepened knowledge within some of the following more specific subject areas: Computer architecture, communication systems, real-time computer systems, signal analysis, sensor systems, motric systems and control theory. By the choice of specialization and courses the student has the option to focus on either embedded systems, intelligent systems or communication systems. The student shall with the program reach a good basis for PhD studies.

Compulsory courses:
Introduction to research in embedded and intelligent systems, 7.5 credits,
Thesis, 30 credits
Scientific writing, 7.5 credits

Mathematics courses:
Linear systems, 7.5 credits,
Multivariable calculus, 7.5 credits (First level course),
Ordinary differential equations, 7.5 credits,
Random processes, 7.5 credits

Optional Courses:
Artificial intelligence, 7.5 credits,
Digital control, 7.5 credits,
Learning and self-organizing systems, 7.5 credits,
Mobile intelligent systems, 7.5 credits,
Robot design project, 7.5 credits,
Signals and systems, 7.5 credits (First level course),
System on a chip design, 7.5 credits
Distributed real-time systems, 7.5 credits,
Computer languages, 7.5 credits,
Concurrent programming, 7.5 credits,
Image analysis I, 7.5 credits,
Image analysis II, 7.5 credits,
Optics, vision ad cameras, 7.5 credits,
Optical communication, 7.5 credits,
Parallel computer architecture, 7.5 credits

Each student chooses one of the specializations listed below. This choice is made after the start of the program. A thesis project of 30 credits is to be performed within the chosen specialization. In addition, at least four technical courses classified as core courses of the chosen specialization have to be taken. Core courses of the different specializations are defined below.

Communication Systems:
Coding and Digital Communications,
Distributed Real-time Systems,
Modern Communication Systems and Networks,
Wireless Communication Systems,
Random Process

Embedded Systems:
Computer Languages,
Concurrent Programming,
Distributed Real-Time Systems,
Parallel Computer Architecture,
System-on-Chip design,
One Mathematics Course

Intelligent systems:
Artificial Intelligence,
Digital control,
Image analysis I,
Image analysis II,
Learning and self-organizing systems,
Mobile Intelligent Systems,
Robot design project

For further information, please visit on the following site:
http://utbildning.hh.se/utb_program_en.asp?PtKod=TAEIS08h1