Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

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Method engineering

Website:website containing additional information
Course code:INFOME
Credits:7.5 ECTS
Period:period 3 (week 6 through 15, i.e., 6-2-2017 through 13-4-2017; retake week 27)
Participants:up till now 71 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
lab session group 1 Thu 11.00-12.456-9 UNNIK-108
10 UNNIK-106
11 UNNIK-106
12 RUPPERT-038
13 UNNIK-106
14 RUPPERT-038
group 2 Thu 11.00-12.456 UNNIK-105
7 UNNIK-107
8 UNNIK-105
9 UNNIK-107
10 UNNIK-101
11 UNNIK-107
12 RUPPERT-038
13 UNNIK-107
14 RUPPERT-038
lecture   Mon 13.15-15.007-9 BBG-001 Sietse Overbeek
Sjaak Brinkkemper
11-14 BBG-001
Tue 13.15-15.007-14 BBG-061
Thu 9.00-10.456-14 BBG-161
tutorial group 1        Rebecca Latukolan
group 2        Lody Koop
group 3        Rim Mukhopadhyay
week: 27Mon 2-7-201813.30-16.30 uurroom: EDUC-ALFAretake exam
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 in a knowledge clip and your paper 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:
  • Flipped classroom preparation (0%)
  • Topic choice and description (20%)
  • Process-deliverable diagram (20%)
  • Practice knowledge clip (10%)
  • Draft paper (0%)
  • Peer review (0%)
  • Topic knowledge clip (10%)
  • Final paper (40%)
The deadlines of the assignments are strict. For every 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