Images and Graphics, Project Course CDIO, 12 credits
Bilder och grafik, projektkurs, CDIO, 12 hp
TSBB11
Main field of study
Information Technology Computer Science and Engineering Electrical EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Fahad KhanDirector of studies or equivalent
Klas NordbergEducation components
Preliminary scheduled hours: 52 hRecommended self-study hours: 268 h
Main field of study
Information Technology, Computer Science and Engineering, Electrical EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Computer Science and Software Engineering, M Sc in Engineering
Specific information
The Entrepreneurship part overlap with other CDIO courses and cannot be included more than once in a degree.
Exchange students may apply for the course after arrival to LiTH but before it starts. The international officer for exchange studies must be contacted before applying.
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
The projects carried out in the course normally require the students to have taken at least one course in fields such as image processing, computer vision, computer graphics, or image coding. All projects require some amount of programming skills, ability in oral and written communication, and project management.Intended learning outcomes
A project is carried out using industrial practice, and after passing the course the students have demonstrated development and consolidation of competence in the following areas:
- Apply knowledge and methods from previous courses and when necessary new knowledge shall be developed.
- Integrate knowledge from different disciplines, such as image processing, computer vision, computer graphics, image compression, programming, and apply this knowledge in new contexts, such as project work in collaboration with industry or researchers.
- Define requirements for the project based on preliminary specifications, often defined by an external customer, and investigate the conditions under which the project work can be carried out.
- Present the project outcome for the customer and other students, whom are not expected to be experts within the fields of expertise of the students who carried out the work.
- Show the ability to in an independent way manage the project work using a project model and with limited support in terms of supervision.
- Planning, implementation and evaluation of a project.
- Analyzing problems and break down of problems.
- Creative solutions.
- Social competence within the project group.
- Modeling, design and implementation of solution.
The result of the project work shall be:
- Of high technical quality and be based on state-of-the-art knowledge and methods in the technical fields relevant for the project.
- Documented in terms of project plan, project schedule, and technical report.
- Presented orally as well as with a poster.
- Evaluated in a review report.
- When applicable a user-friendly interface should be developed together with a user's manual.
A purpose for the course is also for the students to acquire knowledge and abilities within the general area of entrepreneurship, with particular focus on business planning for new ventures. After passing the course students are able to:
- Account for models that describe what it takes for a new venture to have a stable basis for further development and to assess the level of development of ventures using such models.
- account for the information and analyses needed to evaluate a development project from a business point of view and have the ability to collect and analyze relevant information for the purpose.
Course content
Research and application related projects within the field of image analysis, computer vision, computer graphics, image coding, and neural networks. Examples of previous projects are
- Mobile robots.
- Medical image processing.
- 3D reconstruction.
- Simulation of water surfaces
Teaching and working methods
The course has a set of projects proposed by customers external or internal to the university. Student groups will be formed around these projects, based on the knowledge background of the students, suitable mix of competence with a group, and individual preferences of the students. Each project starts by working out a requirement specification and a plan for the remaining part of the project.
The project may be carried out according to the LIPS-model or an alternative model as decided by the examiner, this is, and all documents produced within the project will be written according to the templates described within this model.Examination
UPG1 Entrepreneurship assignments 3 credits U, G PRA1 Project work 9 credits U, G Grades are given as ‘Fail’ or ‘Pass’.Grades
Two-grade scale, U, GDepartment
Institutionen för systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Fahad KhanCourse website and other links
https://www.cvl.isy.liu.se/education/undergraduateEducation components
Preliminary scheduled hours: 52 h
Recommended self-study hours: 268 hCourse literature
Additional literature
Compendia
Other
Code | Name | Scope | Grading scale |
---|---|---|---|
UPG1 | Entrepreneurship assignments | 3 credits | U, G |
PRA1 | Project work | 9 credits | U, G |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Additional literature
Compendia
Other
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
---|---|---|---|---|---|---|
1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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|
X
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1.2 Fundamental engineering knowledge (G1X level) |
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X
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1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
|
X
|
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PRA1
|
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1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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1.5 Insight into current research and development work |
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2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
2.1 Analytical reasoning and problem solving |
|
X
|
X
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PRA1
|
||
2.2 Experimentation, investigation, and knowledge discovery |
|
X
|
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PRA1
|
||
2.3 System thinking |
|
X
|
X
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PRA1
|
||
2.4 Attitudes, thought, and learning |
|
X
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X
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PRA1
|
||
2.5 Ethics, equity, and other responsibilities |
|
X
|
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PRA1
|
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
|
X
|
X
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PRA1
|
||
3.2 Communications |
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X
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3.3 Communication in foreign languages |
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4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
4.1 External, societal, and environmental context |
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4.2 Enterprise and business context |
X
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PRA1
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4.3 Conceiving, system engineering and management |
X
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X
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X
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PRA1
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||
4.4 Designing |
|
X
|
X
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PRA1
|
||
4.5 Implementing |
|
X
|
X
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PRA1
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4.6 Operating |
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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 |
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5.2 Economic conditions for knowledge development |
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5.3 Identification of needs, structuring and planning of research or development projects |
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5.4 Execution of research or development projects |
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5.5 Presentation and evaluation of research or development projects |
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