ECTS - Business Process Management
Business Process Management (ISE516) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Business Process Management | ISE516 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce Business Process Management (BPM) key principles and methods of business process management covering the entire lifecycle of business processes (BPM). The course emphasizes the role of business process modeling as a tool in understanding and analysing business operations, and developing software system that support the execution of business processes. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | The objective of this course is to introduce Business Process Management (BPM) key principles and methods of business process management covering the entire lifecycle of business processes (BPM). |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Introduction to BPM concepts | Textbook,Chp1 |
2 | Introduction to BPM life-cycle | Textbook,Chp2 |
3 | Process Modeling with BPMN I | Textbook,Chp 3, BPMN |
4 | Process Modeling with BPMN II | Textbook,Chp 3 , BPMN |
5 | Qualitative Process Analysis | Textbook,Chp 6 |
6 | Quantitative Process Analysis | Textbook,Chp 7 |
7 | Midterm I | |
8 | Process Redesign | Textbook,Chp 8 |
9 | Process Simulation | Textbook,Chp 7 |
10 | Process Automation I | Textbook,Chp 9 |
11 | Process Automation II | Textbook,Chp 9 |
12 | Process Monitoring | Textbook,Chp10 |
13 | Process Measurement | Textbook,Chp10, Lecture Notes |
14 | Process Mining | W.M.P. van der Aalst, all chapters |
15 | Project Presentations | |
16 | Final |
Sources
Course Book | 1. Marlon Dumas, Marcello La Rosa, Jan Mendling and Hajo Reijers. Fundamentals of Business Process Management, Springer 2013. |
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Other Sources | 2. W.M.P. van der Aalst. Process Mining. Springer 2011. (Chapters 1, 5 and 6). |
3. BPMN Specification, OMG, http://www.bpmn.org/ |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | 1 | 30 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 3 | 100 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Ability to carry out advanced research activities, both individual and as a member of a team | |||||
2 | Ability to evaluate research topics and comment with scientific reasoning | |||||
3 | Ability to initiate and create new methodologies, implement them on novel research areas and topics | |||||
4 | Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions | |||||
5 | Ability to apply scientific philosophy on analysis, modelling and design of engineering systems | |||||
6 | Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level | |||||
7 | Contribute scientific and technological advancements on engineering domain of his/her interest area | |||||
8 | Contribute industrial and scientific advancements to improve the society through research activities |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 5 | 80 |
Presentation/Seminar Prepration | |||
Project | 1 | 50 | 50 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
Total Workload | 228 |