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 Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Mårten Wadenbäck

Director of studies or equivalent

Lasse Alfredsson

Education components

Preliminary scheduled hours: 52 h
Recommended self-study hours: 268 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Data Science and Machine Intelligence) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CMED Biomedical Engineering, Master of Science in Engineering 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CMED Biomedical Engineering, Master of Science in Engineering (Biomedical Image Analysis and Visualization) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CDDD Computer Science and Engineering, Master of Science in Engineering 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Computer Games Programming) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Signal and Image Processing) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CMJU Computer Science and Software Engineering, Master of Science in Engineering (Computer Games Programming) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CITE Information Technology, Master of Science in Engineering 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CITE Information Technology, Master of Science in Engineering (Computer Games Programming) 9 (Autumn 2022) 1, 2 4, 4 Swedish/English Linköping, Valla E

Main field of study

Information Technology, Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1X

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 Faculty coordinators for exchange studies must be contacted before applying.

Course offered for

  • Master of Science in Computer Science and Engineering
  • Master of Science in Information Technology
  • Master of Science in Computer Science and Software Engineering
  • Master of Science in Applied Physics and Electrical Engineering
  • Master of Science in Applied Physics and Electrical Engineering - International
  • Master of Science in Biomedical Engineering

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 product backlog 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 product backlog and technical report.
  • Presented orally.
  • Evaluated in a review report.
  • Meet the requirements formulated in the product backlog.


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. The project shall be carried out according to the Scrum-model or an alternative model as decided by the examiner. Each project starts by working out a product backlog. The product backlog including sprint backlogs and sprint reviews shall be written according to the templates described within the Scrum model.

    Examination

    UPG1Entrepreneurship assignments3 creditsU, G
    PRA1Project work9 creditsU, G
    Grades are given as ‘Fail’ or ‘Pass’.

    Grades

    Two grade scale, older version, U, G

    Other information

    About teaching and examination language

    The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

    • If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
    • If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
    • If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

    Other

    The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

    The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

    If special circumstances prevail, the vice-chancellor may in a special decision specify the preconditions for temporary deviations from this course syllabus, and delegate the right to take such decisions.

    Department

    Institutionen för systemteknik

    Course literature

    Compendia


    • Scrum compendium https://www.scrumguides.org.

    Other

Code Name Scope Grading scale
UPG1 Entrepreneurship assignments 3 credits U, G
PRA1 Project work 9 credits U, G
Grades are given as ‘Fail’ or ‘Pass’.

Course syllabus

A syllabus must be established for each course. The syllabus specifies the aim and contents of the course, and the prior knowledge that a student must have in order to be able to benefit from the course.

Timetabling

Courses are timetabled after a decision has been made for this course concerning its assignment to a timetable module. 

Interruption in and deregistration from a course

The LiU decision, Guidelines concerning confirmation of participation in education (Dnr LiU-2020-02256), states that interruptions in study are to be recorded in Ladok. Thus, all students who do not participate in a course for which they have registered must record the interruption, such that the registration on the course can be removed. Deregistration from or interrupting a course is carried out using a web-based form Forms

Cancelled courses and changes to the course syllabus

Courses with few participants (fewer than 10) may be cancelled or organised in a manner that differs from that stated in the course syllabus. The Dean is to deliberate and decide whether a course is to be cancelled or changed from the course syllabus. 

Guidelines relating to examinations and examiners 

For details, see Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, Dnr LiU-2020-04501  (http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592).

An examiner must be employed as a teacher at LiU according to the LiU Regulations for Appointments, Dnr LiU-2021-01204 (https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784). For courses in second-cycle, the following teachers can be appointed as examiner: Professor (including Adjunct and Visiting Professor), Associate Professor (including Adjunct), Senior Lecturer (including Adjunct and Visiting Senior Lecturer), Research Fellow, or Postdoc. For courses in first-cycle, Assistant Lecturer (including Adjunct and Visiting Assistant Lecturer) can also be appointed as examiner in addition to those listed for second-cycle courses. In exceptional cases, a Part-time Lecturer can also be appointed as an examiner at both first- and second cycle, see Delegation of authority for the Board of Faculty of Science and Engineering.

Forms of examination

Principles for examination

Written and oral examinations and digital and computer-based examinations are held at least three times a year: once immediately after the end of the course, once in August, and once (usually) in one of the re-examination periods. Examinations held at other times are to follow a decision of the faculty programme board.

Principles for examination scheduling for courses that follow the study periods:

  • courses given in VT1 are examined for the first time in March, with re-examination in June and August
  • courses given in VT2 are examined for the first time in May, with re-examination in August and January
  • courses given in HT1 are examined for the first time in October, with re-examination in January and August
  • courses given in HT2 are examined for the first time in January, with re-examination in March and in August.

The examination schedule is based on the structure of timetable modules, but there may be deviations from this, mainly in the case of courses that are studied and examined for several programmes and in lower grades (i.e. 1 and 2). 

Examinations for courses that the faculty programme board has decided are to be held in alternate years are held three times during the school year in which the course is given according to the principles stated above.

Examinations for courses that are cancelled or rescheduled such that they are not given in one or several years are held three times during the year that immediately follows the course, with examination scheduling that corresponds to the scheduling that was in force before the course was cancelled or rescheduled.

When a course, or a written examination (TEN, DIT, DAT), is given for the last time, the regular examination and two re-examinations will be offered. Thereafter, examinations are phased out by offering three examinations during the following academic year at the same times as the examinations in any substitute course. If there is no substitute course, three examinations will be offered during re-examination periods during the following academic year. Other examination times are decided by the faculty programme board. In all cases above, the examination is also offered one more time during the academic year after the following, unless the faculty programme board decides otherwise. In total, 6 re-examinations are offered, of which 2 are regular re-examinations. In the examination registration system, the examinations given for the penultimate time and the last time are denoted. 

If a course is given during several periods of the year (for programmes, or on different occasions for different programmes) the faculty programme board or boards determine together the scheduling and frequency of re-examination occasions.

Retakes of other forms of examination

Regulations concerning retakes of other forms of examination than written examinations and digital and computer-based examinations are given in the LiU guidelines for examinations and examiners, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592.

Course closure

For Decision on Routines for Administration of the Discontinuation of Educational Programs, Freestanding Courses and Courses in Programs, see DNR LiU-2021-04782. After a decision on closure and after the end of the discontinuation period, the students are referred to a replacement course (or similar) according to information in the course syllabus or programme syllabus. If a student has passed some part/parts of a closed program course but not all, and there is an at least partially replacing course, an assessment of crediting can be made. Any crediting of course components is made by the examiner.

Registration for examination

In order to take an written, digital or computer-based examination, registration in advance is mandatory, see decision in the university’s rule book https://styrdokument.liu.se/Regelsamling/VisaBeslut/622682. An unregistered student can thus not be offered a place. The registration is done at the Student Portal or in the LiU-app during the registration period. The registration period opens 30 days before the date of the examination and closes 10 days before the date of the examination. Candidates are informed of the location of the examination by email, four days in advance. 

Code of conduct for students during examinations

Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622682.

Retakes for higher grade

Students at the Institute of Technology at LiU have the right to retake written examinations and digital and computer-based examinations in an attempt to achieve a higher grade. This is valid for all examination components with code “TEN”, “DIT” and "DAT". The same right may not be exercised for other examination components, unless otherwise specified in the course syllabus.

A retake is not possible on courses that are included in an issued degree diploma. 

Grades

The grades that are preferably to be used are Fail (U), Pass (3), Pass not without distinction (4) and Pass with distinction (5). 

  • Grades U, 3, 4, 5 are to be awarded for courses that have written or digital examinations.
  • Grades Fail (U) and Pass (G) may be awarded for courses with a large degree of practical components such as laboratory work, project work and group work.
  • Grades Fail (U) and Pass (G) are to be used for degree projects and other independent work.

Examination components

The following examination components and associated module codes are used at the Faculty of Science and Engineering:

  • Grades U, 3, 4, 5 are to be awarded for written examinations (TEN) and digital examinations (DIT).
  • Examination components for which the grades Fail (U) and Pass (G) may be awarded are laboratory work (LAB), project work (PRA), preparatory written examination (KTR), digital preparatory written examination (DIK), oral examination (MUN), computer-based examination (DAT), home assignment (HEM), and assignment (UPG).
  • Students receive grades either Fail (U) or Pass (G) for other examination components in which the examination criteria are satisfied principally through active attendance such as tutorial group (BAS) or examination item (MOM).
  • Grades Fail (U) and Pass (G) are to be used for the examination components Opposition (OPPO) and Attendance at thesis presentation (AUSK) (i.e. part of the degree project).

In general, the following applies:

  • Mandatory course components must be scored and given a module code.
  • Examination components that are not scored, cannot be mandatory. Hence, it is voluntary to participate in these examinations, and the voluntariness must be clearly stated. Additionally, if there are any associated conditions to the examination component, these must be clearly stated as well.
  • For courses with more than one examination component with grades U,3,4,5, it shall be clearly stated how the final grade is weighted.

For mandatory components, the following applies (in accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592): 

  • If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component.

For possibilities to alternative forms of examinations, the following applies (in accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592): 

  • If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it.
  • If the coordinator has recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.
  • An examiner may also decide that an adapted examination or alternative form of examination if the examiner assessed that special circumstances prevail, and the examiner assesses that it is possible while maintaing the objectives of the course.

Reporting of examination results

The examination results for a student are reported at the relevant department.

Plagiarism

For examinations that involve the writing of reports, in cases in which it can be assumed that the student has had access to other sources (such as during project work, writing essays, etc.), the material submitted must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc. of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations, such as degree projects, project reports, etc. (this is sometimes known as “self-plagiarism”).

A failure to specify such sources may be regarded as attempted deception during examination.

Attempts to cheat

In the event of a suspected attempt by a student to cheat during an examination, or when study performance is to be assessed as specified in Chapter 10 of the Higher Education Ordinance, the examiner is to report this to the disciplinary board of the university. Possible consequences for the student are suspension from study and a formal warning. More information is available at Cheating, deception and plagiarism 

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

Compendia

Scrum compendium https://www.scrumguides.org.

Other

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)
X
Implicitly in CDIO project courses
1.2 Fundamental engineering knowledge (G1X level)
X
requires basic courses within the imaging profile
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
PRA1
Work with advanced/close to research problems within the respective filed of technology
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
X
PRA1

                            
1.5 Insight into current research and development work
X

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
PRA1
Implicitly in CDIO project courses
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1
Implicitly in CDIO project courses
2.3 System thinking
X
X
PRA1
Implicitly in CDIO project courses
2.4 Attitudes, thought, and learning
X
X
PRA1
Documentation & follow-up of own work
2.5 Ethics, equity, and other responsibilities
X
PRA1
Work with project management models
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
X
PRA1
Implicitly in CDIO project courses
3.2 Communications
X
Written and oral presentation
3.3 Communication in foreign languages
X
PRA1
Report writing and presentation are performed in English and with feedback
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
The project often relate to societal questions, e.g. climate visualization
4.2 Enterprise and business context
X
The projects are often defined by industry
4.3 Conceiving, system engineering and management
X
X
X
PRA1
Implicitly in CDIO project courses
4.4 Designing
X
X
PRA1
Implicitly in CDIO project courses
4.5 Implementing
X
X
PRA1
Implicitly in CDIO project courses
4.6 Operating
X
The projects often result in software which has to be demonstrated in practical use
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

                            

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