Operations Analytics

Curso

Operations Analytics

Inicio / Programas / Operations Analytics

Requisitos: Probabilidad y Estadística básica, Álgebra Lineal, Cáculo diferencial, Optimización Básica, Programación Básica.

Idioma: Español/Inglés

Horario*:

Viernes 1 de Julio: 5pm - 8pm

Sábado 2 de Julio: 9am-12m

Sábado 2 de Julio: 2pm-5pm

Martes 5 de Julio: 5pm-8pm

Miércoles 6 de Julio: 5pm-8pm

Jueves 7 de Julio: 5pm-8pm

Sábado 8 de Julio: 9am-12m

Sábado 9 de Julio: 2pm-5pm

Lunes 11 de Julio: 5pm-8pm

Martes 12 de Julio: 5pm-8pm

*Los horarios y modalidad (virtual o semipresencial) de los cursos están sujetos a modificaciones de acuerdo a las disposiciones del Gobierno Nacional y Distrital para el manejo del COVID 19. Las fechas y horarios de las sesiones podrán ser consultados en mibanner.uniandes.edu.co

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Este curso hace parte del portafolio de materias de pregrado y posgrado de la Universidad  abiertas a todo público.

Al participar en este curso podrás vivir la experiencia Uniandina, acceder a contenidos de calidad, tomar  clases con estudiantes regulares, acceder al sistema de bibliotecas de Uniandes y participar en las actividades culturales que esta Universidad te ofrece.

Contenido

Operations Analytics is concerned with the quantitative methods to design, manage, and improve the processes that transform inputs into finished goods or services. As it is one of the main functions of a firm, decisions made in operations have implications in other functions such as cost accounting, marketing and strategy. The objective of the course is to provide you with the basic tools to critically analyze a firm's operating performance and practices. You will be introduced to a set of decisions in operations ranging from tactical to strategic. When models are discussed, the focus will be on gaining insight on their application, their required inputs and correctly interpreting their outputs, rather than their mathematical derivation.


Learning outcomes: 

Upon successful completion of the course, you should be able to:

·  Define, analyze and evaluate the performance of processes;

·  Understand the impact of process and demand variability;

·  Identify the improvement opportunities for the processes and propose actions towards continuous improvement;

·  Develop a coherent supply chain strategy by identifying the operational capabilities needed to support a firm’s strategy.

Profesores

Raha Akhavan

Professor of Operations Management and Business Analytics at Sabanci Business School, in Istanbul, Turkey. Prior to this position she has been Associate Professor of Industrial Engineering and Operations Research at Universidad de los Andes in Bogota, Colombia and Senior Industrial Engineer at Intel Corporation in Arizona. She has received her Ph.D. from Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. Her research interest is modeling the uncertainty of complex systems including logistics, production, transportation and healthcare to facilitate improved, data-driven decision making. She is also a long distance open water swimmer and the first Iranian woman to cross the 34 km length of the Catalina Channel in Southern California, in 15 hours of nonstop swimming. "

Condiciones

Eventualmente la Universidad puede verse obligada, por causas de fuerza mayor a cambiar sus profesores o cancelar el programa. En este caso el participante podrá optar por la devolución de su dinero o reinvertirlo en otro curso de Educación Continua que se ofrezca en ese momento, asumiendo la diferencia si la hubiere.

La apertura y desarrollo del programa estará sujeto al número de inscritos. El Departamento/Facultad (Unidad académica que ofrece el curso) de la Universidad de los Andes se reserva el derecho de admisión dependiendo del perfil académico de los aspirantes.

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