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Engineering and Technologies / Faculty /

Gilberto Alfonso Montes Ramírez

Education, Doctorate in Information and Communications Technologies  Tecnológico de Monterrey 2012 - to date , icono-formacion-academica_0.png
Career Path, Universidad Autónoma de Nuevo León Adjunct Professor  2016-2018, icono-trayectoria-profesional_0.png
Distinctions and Awards, National Scholarship for Doctoral Studies  CONACYT 2013, icono-distinciones-premios_0.png
Publications, Montes, G. Carrasco, J. Cekaya, J. Brena, R. Iglesias, S. (2012). Social Interaction Discovery: A Simulated Multiagent Approach. In MCPR 2013, Procede, icono-publicaciones_0.png

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Engineering and Technologies / Faculty /

Iván Francisco Huergo Ríos

Formación académica, Doctorado en Ingeniería Estructural Universidad Nacional Autónoma de México., icono-formacion-academica.png
Trayectoria profesional y docente, Profesor-Investigador Universidad de Monterrey (2022-actualidad), icono-trayectoria-profesional.png
Distinciones y premios, Distinción de Candidato a Investigador Nacional Consejo Nacional de Ciencia y Tecnología (CONACYT) 01/01/2023 - 31/12/2026, icono-distinciones-premios.png
Publicaciones, Huergo, I.F. (2016). Control de vibraciones verticales en puentes peatonales mediante amortiguadores de masa sintonizados [Tesis de Maestría]. Univers, icono-publicaciones_0.png
Ponencias en congresos, Hernández Barrios, H., Huergo, I. F. & Ceja Marín, C. (2016, noviembre). Consideraciones de diseño para condiciones de servicio de puentes peatonales., icono-presencia-congresos_0.png
SNI, Candidato a Investigador Nacional, icono-SNI.png

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FM 2100 Multivariate Analysis

The aim of this course is for students to develop the statistical abilities needed in the solution of problems associated with market analysis and research. These include the use of: sampling methods, multivariate analysis, variance and covariance analysis, multiple regressions, multiple variance analysis, factor analysis, discriminating analysis, conglomerate analysis, set analysis, and multidimensional scaling. They will apply these basic concepts in conjunction with computational resources in the solution of problems that  involve multivariate analysis.

SC 2571 Motion Tracking

The aim of this course is for students to master the principles of "motion tracking" to design an application that integrates digital elements with relative motion, representing reality as closely as possible. They will design and produce environments that surround an animation to accomplish a correspondence between motion characters and environments.