Winter School (2IEIT0) 2025-2026
Objectives The winter school will bring students together from different technical majors to work jointly on a business development process, where they learn to: Content The lecturing contents will include:
Education
Foundations of Data Analytics (2IAB1) 2025-2026
General learning goals
EIT_Data Science entry point (2IMC93) 2025-2026
Objectives In this meeting the student gets insight into the study program.
EIT_DS exit point (2IMC98) 2025-2026
Objectives In this meeting the student gets insight into the study program.
DBL Data Challenge (JBG030) 2025-2026
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to Content Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval
BDMA (2IMC99) 2025-2026
Objectives In this meeting the student gets insight into the study program.
Fundamentals of Process Mining (JBI060) 2025-2026
Objectives The main learning objective of FPM is to be able to understand the relation between sequential multi-variate event data and processes and, ultimately, to learn how to properly apply data science methods in the context of processes. Specifically, the following learning objectives are intended: to be able to identify challenges and requirements for using Read More …
Seminar Process Analytics (2IMI00) 2025-2026
Objectives This seminar combines teaching research methods (in preparation for a Master project) with providing students with recent and ongoing research in the area of event data analysis and process analysis. We study recent research articles, book chapters, and Master theses on topics along the entire analysis life-cycle. Through presentation and group discussions, we work Read More …
Advanced Process Mining (2AMI20) 2025-2026
Objectives After taking this course students should be able to: have a detailed understanding of the entire process mining spectrum and the methodology for process mining analysis
Capstone Data Challenge (JBG060) 2025-2026
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking this course students should be able to independently: Content Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval The objective of Read More …
Foundations of Process Mining (2AMI10) 2025-2026
Objectives After taking this course students should: Content Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Read More …
Capita Selecta Process Analytics (2IMI05) 2025-2026
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
Process Mining using Graph Neural Network
Process Mining is increasingly shifting to graph-based representations of event data, enabling the application of Graph Neural Networks (GNNs) for various process mining tasks. Recent Master projects developed the first GNN-based process discovery algorithm which trains a GNN to translate an event log into a process model. The GNN achieves state-of-the-art performance in terms of Read More …
Generating Actionable Insights using Object-Centric Process Mining (Visual Analytics, Root-Cause Analysis, Agentic AI)
Industrial practice requires process mining techniques to not just produce models, dashboard, and data visualizations, but to help analysts get insightful answers to relevant questions. The emerging paradigm of object-centric process mining allows a new way to generate such insightful answers by embedding process mining results in the original domain data and context where the Read More …
Realizing High-Performance Object-Centric Event Data
The process mining field is exploring a new data model for event data called “object-centric event data” (OCED). In this data model, events are not partitioned under a unique case identifier, but each event is related to a number of data objects that can also be related to each other. The resulting data model essentially Read More …
Event Knowledge Graphs using RDF and SPARQL
The process mining field recently has adopted a graph-based approach for modeling and reasoning over event data using labeled property graphs. From a process mining perspective, events are related to the various objects and entities involved in a process, providing a more realistic description of actual process dynamics in relation to domain concepts. From knowledge Read More …
Neuro-Symbolic Learning for Responsible Process Analytics
Highlights Background Business process management has evolved from manual workflow documentation to sophisticated data-driven systems that leverage machine learning for process optimization, anomaly detection, and predictive monitoring. Organizations across healthcare, finance, manufacturing, and logistics generate massive amounts of event logs that capture detailed execution traces of their operational processes. While deep learning approaches have shown remarkable success Read More …
Object-Centric Process Mining (OCPM) with ARIS
Summary Are you passionate about process mining, data-driven decision making, and cutting-edgevisual analytics? Join us in an exciting collaboration with ARIS, a global leader in ProcessIntelligence, to develop innovative solutions in Object-Centric Process Mining (OCPM).You’ll gain hands-on experience with real-world business questions, contribute to theevolution of a widely-used process mining tool, learn and work with Read More …
Object-Centric Process Mining for Reducing CO2 footprint in Steel Production
At Tata Steel Packaging we manufacture so called tinplate. In a nutshell, steel coils of about 20 tons enter our factory at the pickling line. After cold rolling, annealing and secondary rolling they get tinned in our tinning lines before being shipped to our customers. Assignment description It is clear to anybody what the ‘happy Read More …
AI Football Assistant
Background Modern football analysis has undergone significant transformations with the advent of advanced data collection methods and artificial intelligence technologies. While traditional analysis relied solely on event data (passes, shots, tackles), the industry has shifted toward tracking data that captures player and ball positions throughout matches. Both high-quality tracking data and broadcast footage with sufficient Read More …
Explainable Process Analytics
Have you ever analyzed some event data and wondered if the steps you take impact the results you get?Or whether the result you obtain match what you expected to find? These are common challenges faced by process mining analysts, who analyze large sets of event data to gain insights into how business processes are executed. Read More …
Winter School (2IEIT0) 2024-2025
Objectives The winter school will bring students together from different technical majors to work jointly on a business development process, where they learn to: Apply practical tools and templates to extend their entrepreneurial skills Analyse a business case and propose a domain plan and business plan Raise self-awareness by reflecting on their motivations, ambitions and Read More …
Foundations of Data Analytics (2IAB1) 2024-2025
General learning goals Use basic statistical concepts and techniques and perform appropriate statistical tests Choose and apply suitable visualization techniques Analyze and model data using linear regression, clustering, decision tree mining and association rules learning Read and make simple database schemes and simple queries to a database. Clean data, choose and apply data transformations, data Read More …
EIT_Data Science entry point (2IMC93) 2024-2025
Objectives In this meeting the student gets insight into the study program.
EIT_DS exit point (2IMC98) 2024-2025
Objectives In this meeting the student gets insight into the study program.
DBL Data Challenge (JBG030) 2024-2025
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to independently apply and follow established data science research methods for a given problem and data set access, process, and reason about a large, complex dataset given Read More …
BDMA (2IMC99) 2024-2025
Objectives In this meeting the student gets insight into the study program.
Fundamentals of Process Mining (JBI060) 2024-2025
Objectives The main learning objective of FPM is to be able to understand the relation between sequential multi-variate event data and processes and, ultimately, to learn how to properly apply data science methods in the context of processes. Specifically, the following learning objectives are intended: to be able to identify challenges and requirements for using Read More …
Seminar Process Analytics (2IMI00) 2024-2025
Objectives This seminar combines teaching research methods (in preparation for a Master project) with providing students with recent and ongoing research in the area of event data analysis and process analysis. We study recent research articles, book chapters, and Master theses on topics along the entire analysis life-cycle. Through presentation and group discussions, we work Read More …
Advanced Process Mining (2AMI20) 2024-2025
Objectives After taking this course students should be able to: have a detailed understanding of the entire process mining spectrum and the methodology for process mining analysis can derive and pre-process event logs from raw data and have understand and can work with a specialized form of event data such as event knowledge graphs, or Read More …
Study & Career Orientation Program (SCOP/e) (2IMR10) 2024-2025
The Study & Career Orientation Program is intended to support the students in a structured way in their decision-making process towards graduation with a research group of their preference and to prepare students for making choices regarding their future career. The program is mandatory for all students in the DSAI, CSE, IST and ES programs Read More …
Preparation graduation project (2AMC05) 2024-2025
Objectives At the end of the Preparation Phase the student is able to (context [C], research question [Q] and project preparation [P]): [C1] summarize and discuss the problem context, domain-knowledge, and the requirements these set [C2] demonstrate an understanding of and discuss the relevant state-of-the-art in research and other prior work in academia (and the organization). [Q1] formulate one or more research questions relevant with respect to the given context and state-of-the-art Read More …
Data Challenge 3 (JBG060) 2024-2025
Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking this course students should be able to independently: recognize the phases of data analytics research and divide the research process in these phases familiarize themselves with techniques to understand a complex dataset Read More …
Foundations of Process Mining (2AMI10) 2024-2025
Objectives After taking this course students should: have a good understanding of process mining, understand the role of data science in today’s society, be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification, be able to apply basic process discovery techniques to learn Read More …
Capita Selecta Process Analytics (2IMI05) 2024-2025
Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More …
Root-cause performance analysis in multiple process dimensions
Description Reliable analysis of performance problems and their Root Causes (RCs) requires understanding if a case was delayed by other cases in employees’ or teams’ queues of the same process and/or by cases of other processes. The former is described by the multiple execution single object process dimension, and the latter by the single execution Read More …