Method engineering

Website:

website containing additional information

Course code:

INFOME

Credits:

7.5 ECTS

Period:

periode 3 (week 6 t/m 16, dwz 4-2-2013 t/m 19-4-2013; herkansing week 22)

Timeslot:

Participants:

up till now 48 subscriptions

Schedule:

Note: from now on the schedule is to be found in Osiris

Teachers:

form	group	time	week	room	teacher
college		wo 13.15-15.00	6-10	BBL-079	Sjaak Brinkkemper
		wo 13.15-15.00	12-15	BBL-079
		vr 13.15-15.00	6-10	BBL-079
			12	BBL-079
			14-15	BBL-079
coordinatie					Ravi Khadka
practicum					Sjaak Brinkkemper Eric Ververs Rick van Bommel Karl Werder
	groep 1	wo 13.15-17.00	15	BBL-103 CLZ
		wo 15.15-17.00	6-10	BBL-103 CLZ
		wo 15.15-17.00	12-14	BBL-103 CLZ
		vr 15.15-17.00	6-10	BBL-103 CLZ
			12	BBL-103 CLZ
			14-15	BBL-103 CLZ
	groep 2	wo 13.15-17.00	15	BBL-109 CLZ
		wo 15.15-17.00	6-10	BBL-109 CLZ
		wo 15.15-17.00	12-14	BBL-109 CLZ
		vr 15.15-17.00	6-10	BBL-109 CLZ
			12	BBL-109 CLZ
			14-15	BBL-109 CLZ
	groep 3	wo 13.15-17.00	15	BBL-112 CLZ
		wo 15.15-17.00	6-10	BBL-112 CLZ
		wo 15.15-17.00	12-14	BBL-112 CLZ
		vr 15.15-17.00	6-10	BBL-112 CLZ
			12	BBL-112 CLZ
			14-15	BBL-112 CLZ

Tentamen:

week: 21

wo 22-5-2013

14.00-17.00 uur

zaal: BBL-001

aanvullende 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;
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, Content and Knowledge Engineering, Computer Science, and Cognitive Artificial Intelligence. Student enrolling a master in february are advised to follow the course in their second year. This course is especially meant for those who are interested in a career as researcher, consultant, developer, or (project) manager.

Literature:

Literature consists of 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 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
Knowledge infrastructures, meta-case, and tool support

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