Applied final project sequence for the Magíster en Ciencia de Datos, from problem definition to delivery.

Contents: Problem framing · Data pipeline and modeling · Experiment design · Technical writing and defense

Course focused on fundamental algorithms and data structures for computer science and data-oriented programs.

Contents: Algorithm analysis · Arrays and linked lists · Stacks and queues · Trees and graphs · Sorting and searching

Course focused on providing fundamental concept for data science.

Contents: Introduction to Data Science · Data Science methodologies · Exploratory data analysis · Python fundamentals for Data Science

Course focused in provide fundamental theory in computer vision.

Contents: Geometric transformations · Camera calibration · Multiple-view geometry · Object detection and segmentation

Course focused in the provided advanced programming concept for computer science.

Contents: Oriented programming · Data structures · Functional programming · Event-based simulation (EBS)