#Fme catalog software

The student should know the basic probability distributions and be familiarized with the main concepts of Statistical Inference.Д«asic knowledge of statistics and operations research is recommended.Д¬ore course from the 1st year of theВ degree in MathematicsД¬ore course from the 2nd year of theВ degree in Mathematics, requires previous courses on CalculusД¬ore course from the 2nd year of theВ degree in Mathematics, requires previous course in Linear Algebra and Affine/Euclidean GeometryД¬ore course from the 2nd year of theВ degree in MathematicsД¬ore course from theВ 2nd year of theВ degree in Mathematics, requires a previous course in ProgrammingД¬ore course from the 3rd year of theВ degree in MathematicsД¬ore course from theВ 3rd year of the degree in Mathematics The main concepts will be treated in the classroom by in-person lessons

#Fme catalog software

Students from path 1 cannot choose this course.Д«asic knowledge of statistical software R is recommendedД«ackground on estimation theory, regression models and hypothesis tests and R software is advisable in order to take the course successfully Not available for students in Path 1.Д«asic knowledge of data analysis, probability models and inference is recommendedД«ackground on probability, statistical inference and linear models and familiarity with the R software are neededД«ackground on algebra is advisable but not mandatory This is a leveling course for students in Path 2.

Models and Methods for Operations ResearchД®ach student may choose between the introductory or advanced courseД«asic notions of statistical inference and multivariate analysis are needed It substitutes the old Software for Statistics and Optimization course. Numerical methods for partial differential equationsДЄ bachelor course on ODEs and PDEs is needed Quantitative and qualitative methods for dynamical systemsД«ackground on numerical methods, ODEs and PDEs is needed

List of available courses for academic year 2021/22Д«asic notions of combinatorics are needed