Advanced Project Course: Secure Distributed and Embedded Systems, 6 credits
Avancerad projektkurs: Säkra distribuerade och inbyggda system, 6 hp
TDDE21
Main field of study
Information Technology Computer Science and Engineering Computer ScienceCourse level
Second cycleCourse type
Programme courseExaminer
Andrei GurtovDirector of studies or equivalent
Patrick LambrixEducation components
Preliminary scheduled hours: 64 hRecommended self-study hours: 96 h
Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
---|---|---|---|---|---|---|---|
6CDDD | Computer Science and Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CDDD | Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture) | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CDDD | Computer Science and Engineering, M Sc in Engineering (Secure Systems) | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CMJU | Computer Science and Software Engineering, M Sc in Engineering | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CMJU | Computer Science and Software Engineering, M Sc in Engineering (Secure Systems) | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6MDAV | Computer Science, Master's programme | 3 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6MICS | Computer Science, Master's programme | 3 (Autumn 2017) | 1 | 4 | English | Linköping, Valla | E |
6MICS | Computer Science, Master's programme | 3 (Autumn 2017) | 2 | 4 | English | Linköping, Valla | E |
6CITE | Information Technology, M Sc in Engineering | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CITE | Information Technology, M Sc in Engineering (Computer Systems Architecture) | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
6CITE | Information Technology, M Sc in Engineering (Secure Systems) | 9 (Autumn 2017) | 1, 2 | 4, 4 | English | Linköping, Valla | E |
Main field of study
Information Technology, Computer Science and Engineering, Computer ScienceCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Computer Science and Software Engineering, M Sc in Engineering
- Computer Science, Master's programme
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 course expects the student to have applied project management models in previous courses or other context. The student should also have acquired knowledge equivalent to basic courses in one the profiles "Secure systems” or ”Computer systems”, or in one of the specializations ”Embedded systems” or ”Networks, distributed systems and security” in the area covered by the project.
Intended learning outcomes
The project should have significant technical level that requires in-depth subject knowledge in at least one of the subjects networks, distributed systems, security or embedded systems. The project should be carried out in a professional manner, and should develop and consolidate the participants' skills in the area of specialization.
- Analyze and structure problems in the area of specialization.
- Apply knowledge and methods from a wide range of previous courses in the area of specialization.
- Independently acquire new knowledge, as required by the project.
- Integrate knowledge from many disciplines and apply them in the context of the area of specialization.
- Formulate a requirement specification for the project based on a project directive and thereby assess the feasibility of the project in terms of technical solutions and available resources.
- Present the project results for the client as well as for other students, which can not be presumed to be specialists in the techniques used.
- Actively contribute to a well functioning project group.
- Demonstrate the ability to lead the project work with the support of a project model, and with limited access to supervisory resources.
- Plan, implement and monitor a project in the area of specialization.
The result of the project work should:
- Attain high technical quality and be based on modern knowledge and practices in the relevant field of technology.
- Be documented in relevant project documents and relevant technical documentation.
- Be presented orally.
- Meet the requirements stated in the specification.
Course content
Description of the projects, with project directives, are available on the course website. The projects will be closely linked to either ongoing research within the field of computer science or to companies active in this field. Examples could be develop a wide-area sensor data collection system, distributed system evaluation on Planetlab testbed or with cluster simulations, design and implementation of identity- and software-defined networks, or analysis of flight communication systems.
The nature of the projects may change from year to year.
Teaching and working methods
The project, which is formed according to directive given later, should consist of at approximately six students. Each group will be assigned a supervisor, who will support the group in its work and answer technical questions. For each project, there is a client with whom the project team negotiates a specification. Before project work begins, the project team should create appropriate project management documents for the project.
For each instance of the course, the examiner will present a set of project proposals. Assignment of projects to student groups is based both on their aptitude and their wishes. For each proposal there is a project charter forming the basis for further work. The project begins with the project team developing a requirements specification and relevant project management documentation for their project. The projects should be conducted according to an appropriate development model, selected by the team.
The course runs over the entire autumn semester.
Examination
PRA1 | Project | 6 credits | U, G |
The project work will be assessed on the achievement of course objectives. Three modules, each assessed with pass/fail, are included in the assessment. These topics are:
- Technical level and quality of project results
- Written documentation in the form of technical report and relevant project documents
- Oral presentation
To pass the whole project work, the student is required to pass all parts and meet the objectives of the course. Special emphasis is given to participants actively contributing to the group working according to the project model's intentions.
Grades are given as *Fail’ or ’Pass’.
Grades
Two-grade scale, U, GDepartment
Institutionen för datavetenskapDirector of Studies or equivalent
Patrick LambrixExaminer
Andrei GurtovEducation components
Preliminary scheduled hours: 64 hRecommended self-study hours: 96 h
Course literature
Additional literature
Other
Specific to the project
Code | Name | Scope | Grading scale |
---|---|---|---|
PRA1 | Project | 6 credits | U, G |
The project work will be assessed on the achievement of course objectives. Three modules, each assessed with pass/fail, are included in the assessment. These topics are:
- Technical level and quality of project results
- Written documentation in the form of technical report and relevant project documents
- Oral presentation
To pass the whole project work, the student is required to pass all parts and meet the objectives of the course. Special emphasis is given to participants actively contributing to the group working according to the project model's intentions.
Grades are given as *Fail’ or ’Pass’.
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
Other
Specific to the project
Note: The course matrix might contain more information in Swedish.
I | U | A | Modules | Comment | ||
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1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
1.1 Knowledge of underlying mathematics and science (G1X level) |
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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) |
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X
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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 |
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X
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X
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PRA1
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2.2 Experimentation, investigation, and knowledge discovery |
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2.3 System thinking |
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X
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PRA1
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2.4 Attitudes, thought, and learning |
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2.5 Ethics, equity, and other responsibilities |
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3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
3.1 Teamwork |
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X
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3.2 Communications |
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X
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X
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PRA1
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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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4.3 Conceiving, system engineering and management |
X
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X
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PRA1
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4.4 Designing |
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X
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PRA1
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4.5 Implementing |
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X
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PRA1
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4.6 Operating |
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X
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PRA1
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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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