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Eindhoven University Offers Online Course on Process Mining

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Eindhoven University of Technology is offering an online course on process mining.

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques.

Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyse and improve processes in a variety of domains.

Eindhoven Univ Offers course on Process Mining

About the Course

  • The course explains the key analysis techniques in process mining. Students will learn various process discovery algorithms

  • Process analysis techniques that use event data will also be presented. The course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains

Course Syllabus

  • This course starts with an overview of approaches and technologies that can be used in event data to support decision making and business process (re)design

  • Then the course focuses on process mining, which serves as a bridge between data mining and business process modelling

  • The course is at an introductory level with various practical assignments

  • The course covers three main types of process mining:

    • The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using    any a-prior information

    • The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa

    • The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log, This third type of process mining aims at changing or extending the a-priori model

    Pre Requisites

    • Basic knowledge of logic, sets, and statistics (at the undergraduate level) is essential

    • Basic idea of computer skills are required to use the software provided with the course (but no programming experience is needed)

    • Participants are also expected to have an interest in process modeling and data mining but no specific prior knowledge is assumed as these concepts are introduced in the course

    Important Dates:

    • Course length: 6 weeks

    • Course begins on: April 1

    • To register click here

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