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Syllabus:

Degree Project: Master of Science (two years) in Computational Science and engineering, 30 Credits

Swedish name: Examensarbete för masterexamen i beräkningsteknik

This syllabus is valid: 2012-11-05 and until further notice

Course code: 5DV137

Credit points: 30

Education level: Second cycle

Main Field of Study and progress level: Computational Science and Engineering: Second cycle, contains degree project for Master of Arts/Master of Science (120 credits)

Grading scale: VG Pass with distinction, G Pass, U Fail

Responsible department: Department of Computing Science

Contents

The Master's Thesis Project shall be done during the last semester of a master's education aiming at a Master's Degree with a Major in Computational Science and Engineering.

During the course the student will develope her/his abilty to specify, plan, accomplish and present an individual project. The student should apply her/his knowledge from previous education in the project work and deepen her/his knowledge in at least one field of computing science (in-depth study). The in-depth study should provide some insight in research and development in computing science. The results must be presented both orally as well as in a written report.

Part 1. Individual project work (28 ECTS-credits)
The individual project work should be carried out within a research project at the University or within a development project in the IT-industry. The project work must consist of general problem solving techniques and lead to a deeper understanding of the subject. Moreover, the project must not consist of coding work only. The in-depth study must be related to current scientific trends.

Part 2. Presentation (2 ECTS-credits)
Apart from the previously mentioned written report, the Master's degree candidates have to present their work orally (in the form of a Thesis defence). Moreover, the student must act as an opponent in a fellow student's presentation, both for the written report and during the oral presentation. English will be the primary language.

Expected learning outcomes

Knowledge and understanding
After the course the student will:
  • demonstrate substantially deeper knowledge of at least one data field of science,
Skills and abilities
After the course the student will:
  • demonstrate an ability to critically, independently and creatively identify and formulate complex questions 
  • demonstrate an ability to plan and use appropriate methods, carry out advanced tasks within specified limits, and demonstrate an ability to participate in research and development and thereby contribute to the development of knowledge 
  • demonstrate the ability to verbally and in writing, to present and discuss their conclusions and the knowledge and arguments behind them, in dialogue with such scholars and masters in the field and lay people 
  • communicate about the project in oral and written English 
  • demonstrate an ability to critically and systematically integrate knowledge acquired in key quality courses during their studies and to seek, analyze, synthesize and critically review scientific literature that is relevant to the problem
Values ​​and attitudes
After the course the student will:
  • demonstrate an ability to systematically and critically examine their own and others' work with regard to scientific, social and ethical aspects.

Required Knowledge

To be admitted you must hold a Bachelor's Degree and have finished courses at the advanced level corresponding to 60 ECTS-credits. These 60 ECTS-credits on advanced level should include 45 ECTS-credits from the field Computational Science and engineering. In these 45 ECTS-credits these courses or equivalent must be included: Modelling and Simulation (5FY095), Matrix Coumputations and Applications (5DA002), Numerical Methods for Partial Differential Equations (5MA038), and Non-Linear Optimization (5DA001) or equivalent. Depending on the direction of the Degree Project some extra prerequisites might be needed. Proficiency in English equivalent to Swedish upper Secondary course English A. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Form of instruction

Instruction consists of individual instruction. A supervisor within the department appointed for each student, with whom regular contact is maintained. The student will conserve the available tutoring resources and the student may not normally require tutorial support more than 10 months after the start of work. Another supervisor appointed by the client at the external examination work. In addition to tutoring the student independently identify, seek, evaluate and summarize information sources in order to provide a scientific background to the work done. The student will independently plan and carry out work in a timely manner and present it both orally and in writing. The student should also read up on another degree and opposition on this.

Examination modes

Part 1, independent work, assessed in terms of
a) planning, implementation and evaluation of the thesis work, and
b) scientific and engineering content and results.

Part 2, presentation, assessed in terms of
c) the written report
d) oral presentation and
e) planning and execution of opposition

Part 1 of the course is graded Fail (U) or Pass (G) and Part 2 of the course is graded Fail (U), Pass (G) or Pass with Distinction (VG). The course in total is graded Fail (U), Pass (G) or Pass with Distinction (VG). To pass the course, it is required that all the criteria, ie a) to e) above, and mandatory modules are approved. The total grade on the course is an overall assessment of the results of the different parts and are decided at the end of the course. The students that have not passed the course after one academic year have to retake the course in all parts, i.e. the students have to start all over with a new subject.

A student who has failed two tests for a course or part of a class, are entitled to have another examiner appointed, unless there are special reasons against it (HF6 Chap. § 22). Requests for new examiner made ​​head of the Department of Computer Science.

Other regulations

Transfer of credits
This course may not be used towards a degree, in whole or in part, simultaneously with another course of similar content. If in doubt, consult the student counselors at the Department of Computing Science and / or program director of your program.

In particular, this course can not be part of any other exam than Degree of master of science (two years) in Computational Science and engineering without an explicit transfer of credits.

Transfer of credits is considered individually (see the University Code of Rules).

Literature

Valid from: 2012 week 48

The literature is chosen individually together with the examiner / supervisor.