ECTS - Process Analysis and Improvement

Process Analysis and Improvement (ISE515) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Process Analysis and Improvement ISE515 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Information Systems Engineering Elective Courses
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objectives of this course are to explain the approaches for analyzing and documenting business processes and to explore various techniques, models and tools in order to support the work.
Course Learning Outcomes The students who succeeded in this course;
  • Use different techniques for business process analysis
  • Build system requirements that meet business needs
  • Understand the critical role of business process analysis for system requirements
  • Define business functions and elementary business processes
Course Content Business process concepts, process change drivers, business process mapping, business process strategy, business rule analysis, measuring the process, business process analysis, process improvement approaches, six Sigma, process reengineering, overview of enabling technologies.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Process Analysis and Improvement Chapter 1, Havey Chapter 1
2 Despcription of a Good BPM Arhitecture Havey Chapter 2
3 Process Theory Chapter 3
4 Process Design Patterns Havey Chapter 4
5 Process Analysis and Improvement Using Visio Chapter 2,3
6 Data Management and Analysis Using Excel Chapter 4, 5
7 Workflow Management Havey Chapter 7
8 Process Simulation Chapter 6, 7
9 Process Simulation Chapter 6, 7
10 Visual Basic for Applications: Computer Based Tools Integration Chapter 8
11 Process Analysis and Improvement Application: Customer Service Center Chapter 9
12 Process Analysis and Improvement Application: Supply Chain Management Chapter 10
13 Student Process Analysis and Improvement Projects Chapter 11
14 Future of Computer Based Tools for Process Analysis and Improvement Chapter 12
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Seppanen, M. S., Kumar, S., Chandra, C., Process Analysis and Improvement: Tools and Techniques, McGraw-Hill, 2005. ISBN: 0072857129
Other Sources 2. Havey, M., Essential Business Process Modeling, O'Reilly Media, 2005
3. Harmon, P., Business Process Change, Second Edition: A Guide for Business Managers and BPM and Six Sigma Professionals, Morgan Kaufmann (The MK/OMG Press), 2007.
4. Harrington, H. J., Esseling, E. K. C., Van Nimwegen, H., Business Process Improvement Workbook: Documentation, Analysis, Design, and Management of Business Process Improvement, McGraw-Hill, 1997.
5. Persse, J. R., Process Improvement Essentials: CMMI, Six SIGMA, and ISO 9001, O'Reilly Media, 2006.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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 To become familiar with the state-of-the art and the literature in the software engineering research domain
2 An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area
3 Be able to conduct quantitative and qualitative studies in software engineering
4 Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems X
5 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. X
6 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. X
7 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. X
8 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
9 Promote the development, adoption and sustained use of standards of excellence for software engineering practices. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 5 80
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 15 45
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 175