| 07-12-2023 |
Potenciando el Análisis Multi-Dimensión en Process Mining
Estamos trabajando en un proyecto de investigación centrado en potenciar el análisis de la dimensión de costos con Process Mining. El objetivo es definir métodos (guías con pasos a seguir) para analizar costos junto a otras dimensiones, los que serán validados al aplicarse en procesos reales. Existen múltiples líneas de investigación específicas dentro del proyecto. Entre las tareas donde podrías colaborar están: • Estudiar métricas para la medición del desempeño de costos y otras dimensiones. • Implementar métodos ad-hoc que permitan la visualización y análisis de costos y otras dimensiones. • Analizar logs de eventos bajo una perspectiva multi-dimensión enfocada en costos.
Prerequisitos:
IIC2733
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/5 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 07-12-2023 |
Herramienta para aplicar conformance declarativo a ejecución de procedimientos médicos
Process Mining (PM) es una disciplina que usa datos de la ejecución de procesos para detectar ineficiencias, desviaciones del curso esperado y entregar información para optimizarlos. El grupo de investigación POME (Process Oriented Medical Education), al alero de HAPLAB, desarrolló una metodología para modelar procedimientos quirúrgicos como procesos, obtener datos estandarizados y analizarlos con PM. En ese contexto, se plantea la posibilidad de usar Conformance Declarativo (CD) para comparar instalaciones de catéteres venosos centrales con un modelo declarativo normativo, para evaluar el logro de la competencia técnica asociada al procedimiento. El objetivo del IPre es desarrollar una herramienta que permita usar CD ponderado para comparar el grado de desviación de una ejecución del procedimiento. Para esto, ya se cuenta con plugin de CD, definición de un modelo declarativo del proceso y de las ponderaciones de cada regla, y datos de ejecuciones para aplicar la herramienta.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/3 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 26-06-2019 |
Entendiendo e interpretando las trayectorias curricular universitarias
La gran variabilidad de posibles trayectorias curriculares que pueden tomar los alumnos universitarios hace difícil su análisis des de una perspectiva agregada. Esta investigación propone desarrollar un método que permita hacer estos análisis.
Keywords:
Educación en Ingeniería
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/4 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 25-06-2019 |
Identificando situaciones de permanencia académica basado en datos
Identificar, mediante datos, situaciones que puedan poner en peligro la permanencia académica de los estudiantes de Ingeniería UC
Keywords:
data science
academic analysis
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/4 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 16-10-2017 |
Process-Oriented Data Science para Educación
¿Te interesa analizar el PROCESO que siguen los alumnos en su vida académica en la Universidad? ¿Como interactúan los alumnos en un curso Massive Open Online Course (MOOC)? ¿Detectar cuellos de botella y problemas en las mallas? Buscamos estudiantes motivados y trabajadores, con ganas de aplicar conocimientos de Data Science y Process Mining a casos reales en Educación en varias de las universidades chilenas y plataformas mundiales más conocidas. Posibilidad de IPRE (Regular y Verano/Invierno), Magister y Doctorado.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 07-12-2023 |
Enhancing Multi-Dimension Analyses in Process Mining
We are working in a research project centered on enhancing the analysis of the costs dimension with Process Mining. The goal is to define methods (step-by-step guides) for analyzing costs jointly with other dimensions, which will be validated through their application in real processes. There are several specific research lines within the project. Among the tasks where you can collaborate are: • Studying metrics for measuring the performance of costs and other dimensions. • Implementing ad-hoc methods that allow the visualization and analysis of costs and other dimensions. • Analyzing event logs under a multi-dimension perspective centered in costs.
Prerequisites:
IIC2733
Evaluation method: Nota 1-7, with 1/5 available vacants |
Mentor(s): Open in the plataform |
| 07-12-2023 |
Tool to apply declarative conformance to the performance of medical procedures
Process Mining (PM) is a discipline that uses data from the execution of processes to detect inefficiencies, deviations from the expected execution, and provide information to optimize the processes. POME (Process Oriented Medical Education), a research project conducted by the HAPLAB research group, developed a methodology to model surgical procedures as processes, obtain standardized data and analyze them with PM. In this context, the possibility of using Declarative Conformance (DC) is proposed to compare central venous catheter installations with a normative declarative model, to evaluate the achievement of technical competence associated with the procedure. The goal of this research project is to develop a tool that allows using weighted DC to compare the degree of deviation of a procedure execution. There is already a DC plugin, a definition of a declarative model of the process and the weights of each rule, and real execution data to test the tool.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/3 available vacants |
Mentor(s): Open in the plataform |
| 26-06-2019 |
Understanding and interpreting higher education curricular trajectories
The wide range of possible curricular trajectories that can be taken by high education students makes it difficult to analyze them in an aggregated perspective. This project will propose a method to provide such analysis.
Keywords:
Educación en Ingeniería
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/4 available vacants |
Mentor(s): Open in the plataform |
| 25-06-2019 |
Identifying academic continuity scenarios based on data
Identifying, though the data, situations that jeopardize the academic continuity of Ingeniería UC students.
Keywords:
data science
academic analysis
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/4 available vacants |
Mentor(s): Open in the plataform |
| 29-06-2018 |
A Programmatic Solution for Tailored Feedback Reporting of Surgical Procedures in Medical Trainning
Feedback is a key element on the medical training of surgical procedures. However, creating tailored feedback reports could be a challenging task. In this project, we will research on a replicable cost-efficient programmatic solution for tailored feedback reporting of surgical procedures training.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 21-03-2018 |
Process-Oriented Data Science for Medical Training Analytics
Develop a framework for Process-Oriented Data Science Analytics in the context of Medical Training, and propose an architecture and implementation based on the Celonis technology that supports the proposed framework.
Keywords:
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 16-10-2017 |
Process-Oriented Data Science for Healthcare
Interested on analysing the PROCESSES followed by patients in the Emergency Room? How elderly people interact with medical monitoring devices? How the medical staff train to perform surgical procedures? We are looking for motivated and hard-working students, looking forward to apply Data Science and Process Mining techniques to real healthcare scenarios in Chile. Open to IPRE (Regular and Summer/Winter), Master, and Doctorate.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 16-10-2017 |
Process-Oriented Data Science for Education
Interested on analyzing the PROCESSES followed by the students in their academic live in the university? How students interact in a Massive Open Online Course (MOOC)? ¿Detecting bottlenecks and problems in the academic curriculums? We are looking for motivated and hard-working students, looking forward to apply Data Science and Process Mining techniques to real education cases in some of the universities in chile and most famous international platforms. Open to IPRE (Regular and Summer/Winter), Master, and Doctorate.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/2 available vacants |
Mentor(s): Open in the plataform |
| 16-10-2017 |
Conformance Checking for the Big Data Era
'Process Mining' is the area of Data Science that analyses the PROCESSES using data. In Process Mining there is the problem of 'Conformance Checking': given a process Model (Petri Net, Process Tree, BPMN, ...) and data of the process execution, find the mismatches between them. Conformance Checking is used to detect protocol violations (medical, financial, ...), or to validate that the processes model used for decision making are faithful representations of the reality. Although it is a problem studied in the literature, its effective application in the Big Data Era is still far and full of challenges to solve. We are looking for motivated and hard-wordking students interested on researching those challenges. Open to IPRE (Regular and Summer/Winter) and Master/Doctorate (with possible complementary remuneration).
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 26-08-2016 |
PM4PM Process Mining for Project Management
Analysis of Process Mining techniques for Project Management and the project resources.
Keywords:
Minería de Procesos
Process Mining
Prerequisites:
IIC3757
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |