Course syllabus - Project in intelligent embedded systems

Objectives

The comprehensive aim of the course is that the students should be able to address a complex problem, break it down into sub-tasks, and be able to limit the specifications of the system to be developed. The specifications will be judged in the grading of the project, and should present a solution to the problem. The students should adequately document both the technical progress of implementations as well as monitoring the progress of the project (requirement specification, breakdown of the work into a work plan, test plan, possible documents for certification, meeting minutes, risk analysis, delivery plans, and delivery documentation). The character of the problem should be within the area of intelligent embedded systems.

Learning outcomes

After the course the students should be able to:
1. analyze a complex problem in embedded systems and break it down into sub-problems,
2. synthetize new solutions and perform fault tracing of a complex problem in embedded systems,
3. document and present a solution of a problem in embedded systems orally and written,
4. show knowledge within embedded systems, and deeper knowledge within certain sub-areas, however at least one each within hardware and software, respectively and
5. apply scientific methods and approaches and relate the solutions to the existing research results and methods.

Course content

At the beginning of the course, a concise description of a relevant problem is given. In conjunction with one, or perhaps two, companies (although purely in-house academic projects can occur, backed up by a company). The project, in association with the company (-ies) draw up the final requirements specification.
 The work should be broken down into smaller parts, and a plan of the work should be developed, also including a simple risk assessment, and this should be submitted for review.
 Scientific methods and approaches are fundamental requirements.The work should be carried out according to the plan, and final report, which describes the design, implementation, testing procedures and analysis of results against established goals and requirements. A final prototype or similar together with a full report should be handed in. Embedded systems comprises several areas of technology, including measurement systems,
sensor systems, 
computer communication, real-time scheduling, learning systems, 
robust electronics and computer systems.

Specific requirements

Embedded Systems I 7,5 credits and knowledge in Artificial Intelligence which can be found in the course Intelligent Systems 7,5 credits. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.

Examination

Written assignment (INL1), 4 credits, marks Fail (U) or Pass (G) (examines the learning outcomes 1 and 3) 
Seminar (SEM2), 1 credit, marks Fail (U) or Pass (G) (examines the learning outcomes 2 and 3) 
Seminar (SEM3), 1 credit, marks Fail (U) or Pass (G) (examines the learning outcomes 3 and 4) 
Seminar (SEM4), 1 credit, marks Fail (U) or Pass (G) (examines the learning outcomes 3 and 5) 
Project (PRO2), 8 credits, marks Fail (U), 3, 4 or 5 (examines the learning outcomes 3-5)

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course completely overlaps with DVA409 Project in intelligent embedded systems, 15 credits.