Department of Information and Computing Sciences

Departement Informatica Onderwijs
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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., 5-2-2018 through 13-4-2018; retake week 27)
Timeslot:C
Participants:up till now 54 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lab session group 1 Thu 11.00-12.456-14 UNNIK-108
group 2 Thu 11.00-12.456-14 UNNIK-107
lecture   Mon 13.15-15.007 ANDRO-C101 Sietse Overbeek
Sjaak Brinkkemper
   
8-9 RUPPERT-PAARS
11-13 RUPPERT-PAARS
Tue 15.15-17.007-14 KBG-ATLAS
Thu 9.00-10.456 ANDRO-C101
7-14 RUPPERT-ROOD
Exam:
week: 10Mon 5-3-201813.30-16.30 uurroom: EDUC-BETA
week: 15Mon 9-4-201813.30-16.30 uurroom: EDUC-GAMMA
week: 27Mon 2-7-201813.30-16.30 uurroom: EDUC-ALFAretake exam
Note:No up-to-date course description available.
Text below is from year 2016/2017
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:May change!
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:To qualify for the retake exam, the grade of the original must be at least 4.
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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