Master's Degree in Applied Mathematics - Version 3
NAME
Master's Degree in Applied Mathematics
MODALITY
hybrid
PROPOSITION
$ 6500.00
TITLE TO BE OBTAINED
Master in Applied Mathematics
DURATION
2 Semesters
START AND TERMINATION
09/2024 al 09/2025
RESOLUTION
RPC-SO-04-No.125-2021
PROGRAM VERSION
3
PHONE NUMBERS
4091000 - Ext. 735 - 731
Home
The master's degree in applied mathematics is proposed in a hybrid modality, where class sessions are provided remotely and where the student can use the learning objects available on the virtual campus to expand their knowledge autonomously.
The program aims to train professionals who are experts in applied mathematics in various fields of science such as education, engineering, health, among many others. Even though it is a postgraduate program with a professional career, it has a strong research component, allowing participants to choose between lines related to modeling, optimization, simulation and Statistics.
The study plan considers high-level training courses, with both foreign and national professors of high prestige, and includes specialized seminars with expert tutors, to guide students in their research topic with respect to their degree projects.
PROGRAM COORDINATOR
Iván Mendoza Vázquez, PhD.
Phone: + 593 989959962
Graduate profile
The profile of the graduates of the master's program in Applied Mathematics is defined by the training of professionals capable of innovating and applying the acquired knowledge to practice, being able to mathematically model real-world problems through specialized software and provide solutions for decision-making. of decisions.
| MODULE | CONTENT |
|---|---|
| CALCULATION FUNDAMENTALS | * Real numbers. * Diferential calculus. * Integral calculus. * Calculation of several variables. * Fundamentals of Geogebra. |
| STATISTICS I | * Tables and frequency histograms. * Measures of dispersion and central tendency. * Probability and Bayes theorem. * Hypothesis tests. * Fundamentals of R. |
| LINEAR ALGEBRA | * Systems of linear equations. * Determinants, inverse matrices. * Vectors in space (R2, R3). * Vector spaces. * MATLAB fundamentals. |
| DIFFERENTIAL EQUATIONS I (ANALYTICAL) | * Linear ordinary differential equations. * Nonlinear ordinary differential equations. * Resolution of linear equations with non-constant coefficients. |
| STATISTICS II (BAYES) | * Bayesian Inference Regression. * Informative and non-informative a priori distributions. * Numerical simulations of posterior distribution. * Implementation with R. |
| DEGREE WORK | * Introduction to technical/scientific writing. * Computer techniques and tools for editing t/c documents. * Techniques and tools for searching t/c literature and building the state of the art. |
| DIFFERENTIAL EQUATIONS II (NUMERICAL) | * Techniques to describe the behavior of solutions. * Numerical resolution with MATLAB. |
| ADVANCED PROGRAMMING I (MACHINE LEARNING) | * Fundamentals of supervised learning. * Regression methods. * Binary classification methods. * Multivariable classification methods. * Experiments with WEKA and R. |
| OPTIMIZATION MODELS I (INV. OPERATIONS) | * Linear programming. * Simplex method. * Sensitivity Analysis. * Whole programming. * Implementation of computer models. |
| ADVANCED PROGRAMMING II (DATA MINING) | * Know fundamental concepts of supervised learning for both regression and classification problems. |
| OPTIMIZATION MODELS II (SIMULATION) | * Implementation in simulation software. * Modeling of basic operations and inputs. * Statistical analysis of outputs. |
| TITLE 2: SEMINARS | * Specialization seminars with expert tutors. * Document planning t/c (thesis). |
Entry requirements
The applicant must demonstrate sufficient knowledge about:linear algebra, statistics and probability, as well as concepts fundamentals of calculation (differentiation, integration).
The management of Information Technologies and programming languages. The Master's program in Applied Mathematics is aimed at professionals with training equivalent mathematics or graduates in bachelor's degrees mathematics or physics, and engineering.
Admission process
Applicants must register on the Postgraduate Department website: www.posgrados.uazuay.edu.ec They must upload: passport-sized photo, third-level degree, identity card and updated CV.
Registration (50 USD) must be paid through the payment button with any credit card, or at the university treasury, or by deposit or bank transfer to the following accounts:
Pichincha Bank:
Current account No. 3186821004 - RUC: 0190131777001
Guayaquil Bank:
Current account No. 6447600 - RUC: 0190131777001
Produbanco:
Current account No. 02070000472 - RUC: 0190131777001
In case of deposit or bank transfer, once payment has been made, a copy of the receipt must be sent to transfers@uazuay.edu.ec and posgrados@uazuay.edu.ec indicating your personal data (ID number, full name, address and telephone number) and the program to which you are applying, for registration in the system.
SCHEDULE
REGISTRATION: Until Sunday, August 11, 2024
START OF CLASSES: September 2024
Featured teachers
Contacts
| Teacher | Contact |
|---|---|
| Auquilla Sangolqui Andres Vinicio | andres.auquilla@ucuenca.edu.ec |
| Aviles Gonzalez Jonnatan Fernando | jonnatan.aviles@gmail.com |
| Cabrera Jara Natasha Eulalia | natasha-cabrera@hotmail.com |
| Contreras Lojano David Ricardo | ingdavidcontreras@hotmail.com |
| Fernandez Blanco Oihane | oihanefdezblanco@gmail.com |
| Mendoza Vazquez Ivan Andres | imendoza@uazuay.edu.ec |
| Mosquera Gutierrez Julius Caesar | jcmosqueragutierres@gmail.com |
| Rojas Villa Cristian Xavier | crojasvilla@gmail.com |
| Samaniego Alvarado Cristobal Augusto | cristobal.samaniego@bsc.es |
| Saquicela Galarza Victor Hugo | victor.saquicela@ucuenca.edu.ec |
| Segarra Escandon Jaime Rodrigo | jaimesegarra@gmail.com |
| Sempertegui Canizares Eduardo Rodrigo | esimpertegui@uazuay.edu.ec |
| Siddons David Christopher | davidsiddons@hotmail.com |
| Zuñiga Cabrera German Alfonso | gzuniga@uazuay.edu.ec |