Mathematical Finance
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The aim of this course is to provide the mathematical foundat
This course covers the main families of linear partial differ
The purpose of the course is to present numerical methods for
This course is an introduction to the fundamentals of data vi
This course aims at providing students with relevant modern
This course introduces the student to the basic subjects of d
Course Description In this course, we will review the fundamentals in the design and rigorous analysis of algorithms oriented toward the solution of data science problems. The first part of the course is devoted to reviewing elementary data structures and algorithm paradigms, with the focus then turning to algorithms on graphs, matching problems, searching problems, applications to data mining and on computational geometry. Prerequisites Common requirements for the Semester in Mathematical Tools for Data Science and some knowledge of discrete mathematics. On completion of the course, students will be able to: Course Content Bibliography Support Sessions 2 hours a week with a teaching assistant. Grading Two midterm exams (10% each), homework assignments (40%), final exam (20%), integrative project (20%).
Mathematics Research Centre (Centro de Investigación en Matemáticas, A.C.),
Jalisco S/N, Col. Valenciana CP: 36023 Guanajuato, Gto, México, |