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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
DAT295 - Autonomous and cooperative vehicular systems
Autonoma och samverkande fordonssystem
 
Syllabus adopted 2016-02-01 by Head of Programme (or corresponding)
Owner: MPCSN
7,5 Credits
Grading: TH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Education cycle: Second-cycle
Major subject: Computer Science and Engineering, Software Engineering
Department: 37 - COMPUTER SCIENCE AND ENGINEERING

The course is full. For waiting list, please contact the director of studies: hadi.zarshamfar@chalmers.se
Teaching language: English
Application code: 12119
Open for exchange students: No
Maximum participants: 15

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0113 Project 7,5c Grading: TH   7,5c    

In programs

MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 2 (elective)
MPCSN COMPUTER SYSTEMS AND NETWORKS, MSC PROGR, Year 2 (elective)
MPCSN COMPUTER SYSTEMS AND NETWORKS, MSC PROGR, Year 1 (elective)

Examiner:

Elad Schiller

  Go to Course Homepage


Eligibility

General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

You should have a Bachelor's degree or equivalent. You should have taken at least one course in computer programming and feel comfortable with challenging programming tasks. We also expect 7.5hp or equivalent in one of the four areas: Computer Communication, Computer Networks, Operating Systems, Algorithms and Data Structures, Programming (C or C++) and Control Engineering.

Aim

In this course you will learn how to design vehicle systems that can move autonomously and/or communicate with other vehicles for coordinating their actions. The course is based on team work and projects where you will simulate vehicular systems or construct such systems that are based on miniature vehicle models (robots).

Learning outcomes (after completion of the course the student should be able to)

Knowledge and understanding
Demonstrate knowledge in robotics, their control and/or communication systems with emphasis on hands-on experience with their construction, their programming and insights of current research and development in the area.

Skills and abilities
Demonstrate the ability to develop and design computer control and distributed algorithms, programs, network protocols, which are adapted to the needs and capacities of road users, and which meet the societal requirements of sustainable development in social and ecological terms.
Demonstrate the ability to work in teams and to collaborate in groups with different constitutions and backgrounds. Demonstrate the ability to plan an engineering task and to report on its progress and project achievements.

Judgement and approach
Demonstrate the ability to plan an engineering task and give a clear account of his/her and the team achievements, and conclusions in a way that is supported both orally and in writing while addressing different engineering audiences.

Content

This course setup includes a short sequence of cross-disciplinary lectures that will prepare the students and allow their project groups to share a wider common background. Moreover, the course setup includes weekly presentations of project progress reports in the class room that is followed by a discussion. These discussions, led by an expert in the area, would discuss solutions to problems that students encounter. The classes focus on the finer details, and the students are expected to have a more complete control of the body of knowledge that is required in order to work.

Organisation

Lectures, project meetings, reports and project deliverables.

Literature

Relevant scientific articles will be provided on the course home page.

Examination including compulsory elements

Lectures attendance, project meeting attendance, reports and project deliverables.


Page manager Published: Thu 04 Feb 2021.