Method engineering

Website:website containing additional information
Course code:INFOME
Credits:7.5 ECTS
Period:periode 3 (week 6 t/m 16, dwz 3-2-2014 t/m 18-4-2014; herkansing week 22)
Timeslot:D
Participants:up till now 50 subscriptions
Schedule:Note: from now on the schedule is to be found in Osiris
Teachers:
formgrouptimeweekroomteacher
college   wo 13.15-15.006-10 BBL-161 Sjaak Brinkkemper
Ravi Khadka
   
12-15 BBL-161
vr 13.15-15.006-10 BBL-065
12-15 BBL-065
practicum groep 1 wo 13.15-15.0015 BBL-112 CLZ Ravi Khadka
Danielle Heerink
Aristeidis Michail
   
wo 15.15-17.006-10 BBL-115 CLZ
12-15 BBL-115 CLZ
vr 15.15-17.006-10 BBL-103 CLZ
12-15 BBL-103 CLZ
groep 2 wo 13.15-17.0015 BBL-175 CLZ Sjaak Brinkkemper
Nikos Argyropoulos
  
wo 15.15-17.006-10 BBL-106 CLZ
12-15 BBL-106 CLZ
vr 15.15-17.006-10 BBL-109 CLZ
12-15 BBL-109 CLZ
groep 3 wo 13.15-17.0015 MIN-018
wo 15.15-17.006 BBL-103 CLZ
7-10 MIN-018
12-14 MIN-018
vr 15.15-17.006 BBL-175 CLZ
7 BBL-017
8-10 BBL-175 CLZ
12-15 BBL-175 CLZ
Tentamen:
week: 22wo 28-5-201413.30-16.30 uurzaal: BBL-322/325aanvullende toets
Contents:The learning objectives of this course are:
  • Providing of insight and skills into the systematic description, explanation and evaluation of all aspects of the methodology of ICT systems development;
  • Contributing to the collection of knowledge on method engineering;
  • Being able to work and adapt methods, techniques and tools in various applications of Method Engineering.
Target group: Master students in Business Informatics, Computer Science, Game and Media Technology, and Artificial Intelligence. Student enrolling in MBI in february are advised to follow the course directly in their first year. This course is especially meant for those who are interested in a career as researcher, business consultant, IT (software or enterprise) architect, or (project) manager.
Literature:Literature consists of a reader and a number of selected scientific papers.
Course form:The course consists of two 2-hour lectures and a 2-hour workshop every week. The rest of the work is self study. Each student will select a method or technique described in a scientific paper for which a paper will be written. Main tasks will be literature review and description of methods using the meta-modeling technique of process-deliverable diagrams. The contents of this paper have to be presented during the workshops and will be peer reviewed.
Exam form:The course is run as a project, where several deliverables have to be produced. The deliverable grade is a weighted average for the following assignments:
  • Method description (20%)
  • Meta-models (20%)
  • Draft paper (0%)
  • Presentation (10%)
  • Peer review (0%)
  • Final paper (40%)
  • Knowledge infrastructure entry (10%)
The deadlines of the assignments are strict. For every working day you are late, we deduct one point of your grade. The peer review and the draft paper are not graded. However, failing to perform any of the assignments will result in no mark for the course. In addition, there are two exams in the course: a midterm exam in week 9 and a final exam in week 16. The three parts contribute to your final grade as follows:
  • Deliverable grade (40%)
  • Midterm exam (25)%
  • Final exam (35%)
In order to pass the course your final mark should be 5.5 or higher. Furthermore, we use the following constraints:
- the deliverable grade should be 5.0 or higher;
- the midterm exam grade should be 5.0 or higher;
- the exam grade should be 5.0 or higher.
In case one of these conditions is not met, your final mark is the lowest of the three grades.
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
Description:Method Engineering is defined as the engineering discipline to design, construct, and adapt methods, techniques and tools for the development of information systems. Similarly as software engineering is concerned with all aspects of software production, so is method engineering dealing with all engineering activities related to methods, techniques and tools.

Typical topics in the area of method engineering are:
  • Method description and meta-modeling
  • Method fragments, selection and assembly
  • Situational methods
  • Method frameworks, method comparison
  • Incremental methods
  • Knowledge infrastructures, meta-case, and tool support
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