Embedded Perception Systems, 6 credits

Inbyggda perceptionssystem, 6 hp

TSBB18

Main field of study

Computer Science and Engineering

Course level

First cycle

Course type

Programme course

Examiner

Lasse Alfredsson

Director of studies or equivalent

Lasse Alfredsson

Education components

Preliminary scheduled hours: 10 h
Recommended self-study hours: 150 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C
6CIII Industrial Engineering and Management, M Sc in Engineering 6 (Spring 2019) 1 3 Swedish Linköping, Valla E
6CIII Industrial Engineering and Management, M Sc in Engineering (Electrical Engineering Specialization) 6 (Spring 2019) 1 3 Swedish Linköping, Valla C

Main field of study

Computer Science and Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Industrial Engineering and Management, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Programming, signals and systems, digital circuits, computer systems.

Intended learning outcomes

After the course, the student is able to:

  • Program simple integrated hardware and software systems
  • Connect inputs from sensors and outputs to contrel the hardware
  • Do simple image processing on images from a camera
  • Set up communication to and from the system, e.g., using WiFi

Course content

A project implemented on a Raspberry Pi.

The course does not introduce new concept and theory to any significant extent.  Participants are assumed to be unfamiliar with image processing, and for this reason, a few lectures that introduce basic operations on images are included.

Teaching and working methods

The course is organized around simple embedded systems, such as the Raspberry Pi.

In a series of 2-3 projects, the participants will gradually become more and more familiar with this type of system, where different types of sensors are used to control hardware.  The sensor can, for example, be a camera that produce digital images, and the hardware can be a small radio controlled car.

The projects starts with very simple systems, and gradually becomes more advanced.  The final project may use a camera to control the car.  Other types of sensors and hardware may also be used.

To a large extent, the course is about  going from a product specification, in combination with documentation of the available hardware and software systems, to an implementation of the specification.

The projects are carried out by groups of 3-4 students.

Examination

PRA1Projects6 creditsU, G

Grades

Two grade scale, older version, U, G

Department

Institutionen för systemteknik

Director of Studies or equivalent

Lasse Alfredsson

Examiner

Lasse Alfredsson

Education components

Preliminary scheduled hours: 10 h
Recommended self-study hours: 150 h

Course literature

Other

Code Name Scope Grading scale
PRA1 Projects 6 credits U, G

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)

                            
1.2 Fundamental engineering knowledge (G1X level)

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
PRA1

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving

                            
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1

                            
2.3 System thinking
X
X
PRA1

                            
2.4 Attitudes, thought, and learning
X
PRA1

                            
2.5 Ethics, equity, and other responsibilities
X
PRA1

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
PRA1

                            
3.2 Communications
X
PRA1

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management
X
PRA1

                            
4.4 Designing
X
PRA1

                            
4.5 Implementing
X
PRA1

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects
X
PRA1

                            

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