Project Course in Signal Processing, Communications and Networking, CDIO, 12 credits

Projektkurs i signalbehandling, kommunikation och nätverk, CDIO, 12 hp

TSKS23

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Danyo Danev

Director of studies or equivalent

Lasse Alfredsson

Education components

Preliminary scheduled hours: 16 h
Recommended self-study hours: 304 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 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Chinese (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, French (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, German (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Japanese (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, Master of Science in Engineering, Spanish (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CYYY Applied Physics and Electrical Engineering, Master of Science in Engineering (Data Science and Machine Intelligence) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C/E
6MCSY Communication Systems, Master's Programme 3 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C
6CDDD Computer Science and Engineering, Master of Science in Engineering 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla E
6CDDD Computer Science and Engineering, Master of Science in Engineering (Communication) 9 (Autumn 2024) 1, 2 4, 4 Swedish/English Linköping, Valla C

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

Second cycle

Advancement level

A1F

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 Applied Physics and Electrical Engineering
  • Master of Science in Applied Physics and Electrical Engineering - International
  • Master's Programme in Communication Systems

Prerequisites

Signals and Systems or continous Linear Systems, Signal Theory, Detection and Estimation of Signals, and preferably one or more advanced-level courses in the fields of communications, signal processing, networking, or data science. Basic computer programming skills, preferably in an object-oriented language.

Intended learning outcomes

The project shall be carried out using industrial practice, and it shall develop and consolidate 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 communication systems, signal processing, networking, computer programming, etc. and apply this knowledge in new contexts.
  • Implement algorithms in software.
  • Define requirements for the project based on preliminary specifications 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, and in an independent way, manage the project work using a project model and with limited support in terms of supervision. 
  • Plan, implement and evaluate a project.
  • Analyze and break down problems.
  • Take initiative and find creative solutions.
  • Actively contribute to the forming of a well functioning project group.

The result of the project work shall be:

  • Of high technical quality and be based on state-of-the-art knowledge and methods in signal processing, communications, networking and/or data science.
  • Documented in terms of a project plan, a project schedule, and a technical report.
  • Presented orally as well as with a poster.
  • Evaluated in a review report.

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 the course, students should be 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

The project will be closely related to the ongoing research in signal processing and communications within the Division of Communication Systems or to companies working in these areas. The contents of the projects will change from year to year. 

The project members will use and apply knowledge and methods from related courses in signal processing, communication, networking, and data science. The project members will take on different roles, partially based on their interest and previous courses.

More details about this year's project can be found on the course web page.

Teaching and working methods

One initial lecture followed by self-studies and project work. Each project group, which is normally formed by 4-8 students (depending on the total number of students in the course), will be assigned a supervisor to support its work. The students also have limited help from technical experts.

Before the project work is started, the project group shall negotiate a requirement specification with the customer, and write a project plan and a time plan for the project. The project shall be carried out according to the LIPS project model. The project documents shall adhere to the templates that are part of the LIPS model.

The course runs over the entire autumn semester.

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 such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

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. 

The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included.  

Department

Institutionen för systemteknik

Course literature

Compendia

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

Program courses are timetabled after a decision has been made for this course concerning its assignment to a timetable module. Single subject courses can be timetabled at other times.

Interruption in and deregistration from a course

The LiU decision, Guidelines concerning confirmation of participation in education, Dnr LiU-2020-02256 (https://styrdokument.liu.se/Regelsamling/VisaBeslut/764582), 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 are therefore obliged to report the interruption so that this can be noted in Ladok. Deregistration from or interrupting a course is carried out using a Web-based form.

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. For single subject courses, the cancellation must be done before students are admitted to the course (in accordance with LiUs regulation Dnr LiU-2022-01200, https://styrdokument.liu.se/Regelsamling/VisaBeslut/622645).

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-2023-00379  (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-2022-04445 (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 or oral examination (TEN, DIT, DAT, MUN), 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.

For single subject courses, written and oral examinations can be held at other times.  

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, Dnr LiU-2023-00379 (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 (https://styrdokument.liu.se/Regelsamling/VisaBeslut/1156410). 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 Dnr LiU-2020-04559 (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, Dnr LiU-2020-04559 (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, Dnr LiU-2023-00379 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, Dnr LiU-2023-00379 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.

Linköping University has also produced a guide for teachers and students' use of generative AI in education (Dnr LiU-2023-02660). As a student, you are always expected to gain knowledge of what applies to each course (including the degree project). In general, clarity to where and how generative AI has been used is important.  

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 https://styrdokument.liu.se/Regelsamling/Innehall

Compendia

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
PRA1
Mathematics, physics.
1.2 Fundamental engineering knowledge (G1X level)
X
PRA1
Linear systems, electronics, programming.
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
X
PRA1
Certain analogue and especially  digital communication. Wirelwss communications, source coding, channel coding.
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
X
PRA1
Analysis of large amounts of data.
1.5 Insight into current research and development work
X
PRA1
Projects based on issues from current research work.
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X
PRA1
Problem identification & formulation, modelling.
2.2 Experimentation, investigation, and knowledge discovery
X
PRA1
Experimental methodology.
2.3 System thinking
X
X
PRA1
Holistic thinking, balancing in the choice of solutions.
2.4 Attitudes, thought, and learning
X
X
PRA1
Initiative, adaptability, creative thinking, planning of time and resources.
2.5 Ethics, equity, and other responsibilities
X
X
PRA1
Responsibility and reliability, professional conduct.
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
X
PRA1
Group work, group development, leadership.
3.2 Communications
X
X
PRA1
Written and oral presentation.
3.3 Communication in foreign languages
X
UPG1
PRA1
Document writing and presentation in English.
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context
X
X
X
UPG1
The role and responsibility of the engineer.
4.2 Enterprise and business context
X
X
X
UPG1
Linked to the entrepreneurship part of the course. Understanding of different business cultures. Ideas are generated and linked to the CDIO project.
4.3 Conceiving, system engineering and management
X
X
X
UPG1
PRA1
To specify system goals and requirements, define the system's function, concept and architecture.
4.4 Designing
X
X
PRA1
Development and design of systems.
4.5 Implementing
X
X
PRA1
Integration of software and hardware, testing, verification, validation and certification.
4.6 Operating
X
System improvement and development.
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
X
X
X
UPG1
The role and responsibility of researcher and professional.
5.2 Economic conditions for knowledge development
X
X
X
UPG1
Ideas are generated and linked to the CDIO project.
5.3 Identification of needs, structuring and planning of research or development projects
X
X
X
UPG1

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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