| 19-12-2023 |
Análisis de datos de estudiantes para mejorar la toma de decisiones de directores de colegio
El objetivo de esta oportunidad de investigación es aprender a analizar datos y comunicarlos a una audiencia no experta, a través de la participación en el análisis de datos del programa "Explora tu Talento", con estudiantes de segundo medio de colegios vulnerables. El producto final será un informe para los colegios participantes que contenga un resumen de la información recolectada desde los estudiantes respecto a sus preferencias de carrera y aspiraciones. Este será un insumo para que los directores puedan tomar mejores decisiones sobre la oferta de electivos que deben poner a disposición de sus estudiantes, actividades de vinculación con actores de la educación superior, entre otros. Se requiere saber STATA o R y es necesario haber realizado el curso de Estadística. El curso de econometría aplicada ICS 2563 o equivalente es deseable [Interesad@s enviar CV y concentración de notas antes de postular mediante email a fernanda.ramirez@uc.cl y exploratalento@uc.cl]
Keywords:
análisis de datos
Educación
sistema educacional
estadística
politicas publicas
política pública
Econometría
politica educativa
Prerequisitos:
EYP1113
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 06-12-2022 |
Conversión de datos médicos a sonidos
En este proyecto se sonificarán datos provenientes del cuerpo humano con el objetivo de mejorar diagnósticos.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/6 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 28-11-2022 |
Análisis cualitativo del uso de datos para tomar decisiones a nivel escolar
Este proyecto busca que estudiantes participen de una revisión sistemática de literatura académica y un análisis cualitativo de entrevistas realizadas a directivos de colegios. Esto con el propósito de avanzar hacia una propuesta de cómo utilizar datos para tomar decisiones a nivel escolar.
Prerequisitos:
IDI2015
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/1 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 19-12-2023 |
Keywords:
análisis de datos
Educación
sistema educacional
estadística
politicas publicas
política pública
Econometría
politica educativa
Prerequisites:
EYP1113
Evaluation method: Nota 1-7, with 1/2 available vacants |
Mentor(s): Open in the plataform |
| 30-06-2023 |
Keywords:
análisis de datos
Educación
Prerequisites:
None.
Evaluation method: Pasantía, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 06-12-2022 |
Medical data to sound conversion
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/6 available vacants |
Mentor(s): Open in the plataform |
| 28-11-2022 |
Prerequisites:
IDI2015
Evaluation method: Nota 1-7, with 1/1 available vacants |
Mentor(s): Open in the plataform |
| 23-12-2021 |
EMS vehicle management
Application of data analysis tools, as well as math programming techniques is required, to optimally design an emergency system operated by a private company that responds to emergencies at work or during commuting.
Keywords:
análisis de datos
optimización entera
Prerequisites:
ICS1113
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 14-12-2021 |
Modeling of the atmospheric signal and other contaminants in cosmological data
The measurements of the cosmic microwave background radiation done from the ground suffer from atmospheric contamination, as well as other contaminants. This justifies the development of new models to identify and treat these contaminants, aiming to produce clean maps of the background signal. Our group is an active collaborator of several CMB experiments installed in Chile, contributing among other things to the analysis and reduction of raw data, including the modeling of contamination and systematic effects contained in the data. In this IPRE the student will develop computational and mathematical methods to model and extract the atmospheric signal from real raw data obtained by the ACT telescope. His/her results will be potentially implemented in the real pipeline for the production of better CMB maps.
Keywords:
telescopios
microondas
análisis de datos
computación
programación
Astronomia
radioastronomía
Atmosfera
Prerequisites:
IIC1222
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 03-05-2021 |
Keywords:
análisis de datos
señales fisiológicas
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 17-07-2020 |
Gravity inversion system for a andean geothermal system
This research is focused on the analysis of gravity data taken in the field trip of the past summer, to establish the nature of the subsoil of a low-enthalpy geothermal Andean system. Results will allow defining the 3D architecture of the system for more efficient use of the geothermal resource.
Prerequisites:
ICE2028
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 11-07-2019 |
Evolution of NAFLD from chromatography and MR spectroscopy data
One of the most common liver diseases is Non-Alcoholic Fatty Liver Disease (NAFLD). It is believed to be a manifestation of metabolic syndrome, and that the progression of the disease towards steatohepatitis (NASH) and cirrhosis manifests itself in changes in concentrations of fatty acids in the liver. This project has two objectives. First, to determine the empirical relation between chromatography and Magnetic Resonance (MR) spectroscopy data acquired from fatty acids. Second, to determine the geometric structure of the data by estimating the manifold along which they lie.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 06-12-2018 |
Where does high-frequency ground motion originate from on the fault for mega-earthquakes?
Prerequisites:
None.
Evaluation method: Pasantía, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 16-08-2016 |
Research in MOOCs - Analysis of large data
The MOOCs are Massively Open Courses and in Lines that give training free of charge to anyone who has an internet connection. One of the main problems of MOOCs is that there are a large number of people who do not finish the courses. In this research, we will work with the captured data in the MOOCs of the school of engineering to understand what are the characteristics of participants and the context variables that influence the way people learn in this type of courses.
Keywords:
análisis de datos
MOOCs
Prerequisites:
None.
Evaluation method: Nota 1-7, with -1/1 available vacants |
Mentor(s): Open in the plataform |