SemesterFall Semester, 2023
DepartmentMA Program of Management Information Systems, First Year MA Program of Management Information Systems, Second Year
Course NameProcess Mining
InstructorHONG CHIH-DUO
Credit2.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule































































































































































Week



Date



Course Content



Teaching Activities and Homework



Student workload



In-class Hours



Out-

class

Hours



1



9/11



Process mining overview



 



2



4



2



9/18



Dependency graph

and causal net



 



2



4



3



9/25



Transition system



 



2



4



4



10/02



BPMN



 



2



4



5



10/09



Holiday



Assig. 1 due



0



4



6



10/16



Petri net (I)



 



2



4



7



10/23



Petri net (II)


 

2



4



8



10/30



Process discovery



Assig. 2 due



2



4



9



11/06



Midterm Exam



 



2



4



10



11/13



Process discovery (II)


 

2



4



11



11/20



Conformance checking (I)


 

2



4



12



11/27



Conformance checking (II)



Assig. 3 due



2



4



13



12/04



Process enrichment and repair (I)



 



2



4



14



12/11



Process enrichment and repair (II)



 



2



4



15



12/18



Course review



Assig. 4 due



2



4



16



12/25



Final Exam



 



2



4



17



01/01



Holiday



 



0



4



18



01/08



Project Demo (Optional)



Assig. 5 due



2



4



Teaching Methods
Teaching Assistant

TBD


Requirement/Grading

GRADE DISTRIBUTION



Participation 10%

Assignments 40%

Midterm Exam 25%


Final Exam 25%



Total 100% (+ bonus up to 10%)



CONTRIBUTION EVALUATION



We encourage active engagement and participation in every meeting as an integral part of the learning process. Your contributions during lectures, such as asking questions, responding to in-class brain teasers or pop quizzes, and sharing your thoughts and insights, are highly valued. These contributions will directly impact your meeting participation grades (10 points), reflecting the level of your active involvement.



The quality and frequency of your contributions will be taken into account in the grading scheme. Your contributions in Lecture Participation will be evaluated after every meeting. Please note that contributions are more than just attending or talking in meetings. The quality of your contributions and your responses to others will be essential to the evaluation.



When doing homework assignments and writing case study reports, students must comply with the plagiarism regulations imposed by the university. Any piece of the work submitted by a student must be their own work. Copying or paraphrasing another person’s work in their submission without explicit acknowledgment will be considered plagiarism, leading to the loss of all points for your assignment or report.


Textbook & Reference

 



Process Mining: Data Science in Action, 2nd ed., Wil van der Aalst, Springer, 2016.



Process Mining Handbook, van der Aalst and Josep Carmona, Springer, 2022.



Fundamentals of Business Process Management, 2nd ed., Marlon Dumas, Springer, 2018.



 



 


Urls about Course
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