Skip to main content

FJP3310 Advanced Enterprise Modeling: Holistic Systems & Software Modeling 8.0 credits

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Application

For course offering

Autumn 2023 Start 30 Oct 2023 programme students

Application code

51419

Headings with content from the Course syllabus FJP3310 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Previously, business operations of most large enterprises were supported by a number of isolated IT systems performing miscellaneous and specific tasks, from real-time process control to administrative functionality such as payroll and billing. In order to better achieve business goals, these systems have in recent years been extended, and more importantly, integrated into a company-wide system in its own right, the enterprise IT system. Due to its history, this system is composed of a considerable number of heterogeneous components interacting by means of equally diverse connectors. To enable rational evolution and design, where the business’s requirements are transformed into technically and economically beneficial IT systems, holistic enterprise architecture models of the system are a necessity.

The purpose of this course is to develop students' understanding of and ability for using enterprise architecture models to describe and design cost-effective IT system portfolios that also provides a good support to the businesses that are using them.

The course consists of, and is examined by, one main project.

The course contains the following knowledge modules:

  • The complexity of enterprises and the challenge for enterprise architecture.
  • Basic enterprise architecture modeling.
  • Enterprise architecture analysis.

Intended learning outcomes

After the course the participants should be able to:

  • Compare, choose and motivate the usage of appropriate modeling and analysis methods for evaluation of systems and software issues.
  • Model and analyze system and software issues on a holistic level such as cyber security, agility, interoperability, IT-Governance, IT business value, and more general architecture aspects.
  • Present and discuss modeling and analysis results in a scientific manner. 

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Examination, 8.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

·     Active seminar attendance at minimum 75% of the seminars

·     Approved project assignment

·     Approved oral presentation of project

·     Approved written project report

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Mathias Ekstedt (mekstedt@kth.se)

Postgraduate course

Postgraduate courses at EECS/Network and Systems Engineering