ATENÇÃO: Esta página foi traduzida automaticamente pelo Google Translate. Isto pode ter consequências inesperadas no conteúdo apresentado e, portanto, não nos responsabilizamos pelo resultado dessa tradução automática.


ATTENTION: this page has been automatically translated by Google Translate. This can have unexpected consequences and, therefore, we do not take responsibility for the result of that automatic translation.

menu
PT
menu
close

Schedule

Distance learning offers flexibility, support, and access to a wide range of content, allowing you to manage your time independently. Each course unit (CU) corresponds to approximately 150 hours of work, based on 6 ECTS credits (25 hours per credit), divided between:

  • Synchronous sessions – in real time, with instructors and classmates, conducted via Microsoft Teams
  • Asynchronous activities – tasks such as readings, video analysis, problem-solving, forum comments, projects, and others, which can be completed at your own pace within the defined deadlines
  • Independent study

There are 6 hours of synchronous sessions per CU, spread throughout the semester.

Synchronous classes take place after work hours, between 6:30 p.m. and 8:30 p.m., on dates set in advance by the instructors responsible for the course units (preferably, synchronous sessions will take place on Tuesdays or Thursdays).

First Semester

Day  Schedule Course Unit
22/09 (Tuesday) 6:30 p.m. to 7:30 p.m. Presentation and information about the master's program
24/09 (Thursday) 6:30 p.m. to 7:30 p.m. Meeting with IT support
29/09 (Tuesday) 6:30 p.m. to 8:30 p.m. Applied Functional Analysis
01/10 (Thursday) 6:30 p.m. to 8:30 p.m. Numerical Methods
06/10 (Tuesday) 6:30 p.m. to 8:30 p.m. Mathematical Modeling and Differential Equations
08/10 (Thursday) 6:30 p.m. to 8:30 p.m. Applied Computational Optimization
20/10 (Tuesday) 6:30 p.m. to 8:30 p.m. Applied Functional Analysis
27/10 (Tuesday) 6:30 p.m. to 8:30 p.m. Numerical Methods
03/11 (Tuesday) 6:30 p.m. to 8:30 p.m. Mathematical Modeling and Differential Equations
10/11 (Tuesday) 6:30 p.m. to 8:30 p.m. Applied Computational Optimization
17/11 (Tuesday) 6:30 p.m. to 8:30 p.m. Applied Functional Analysis
24/11 (Tuesday) 6:30 p.m. to 8:30 p.m. Numerical Methods
03/12 (Thursday) 6:30 p.m. to 8:30 p.m. Mathematical Modeling and Differential Equations
10/12 (Thursday) 6:30 p.m. to 8:30 p.m. Applied Computational Optimization

Second Semester

Day Schedule Course Unit
16/02 (Tuesday) 6:30 p.m. to 8:30 p.m. Start-of-semester meeting
18/02 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
23/02 (Tuesday) 6:30 p.m. to 8:30 p.m. Stochastic Analysis
25/02 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
02/03 (Tuesday) 6:30 p.m. to 8:30 p.m. Computational Applications in Data Science
04/03 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
09/03 (Tuesday) 6:30 p.m. to 8:30 p.m. Mathematics for Deep Learning
11/03 (Thursday 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
16/03 (Tuesday) 6:30 p.m. to 8:30 p.m. Complex Systems
18/03 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
06/04 (Tuesday) 6:30 p.m. to 8:30 p.m. Stochastic Analysis
08/04 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
13/04 (Tuesday) 6:30 p.m. to 8:30 p.m. Computational Applications in Data Science
15/04 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
20/04 (Tuesday) 6:30 p.m. to 8:30 p.m. Mathematics for Deep Learning
22/04 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
27/04 (Tuesday) 6:30 p.m. to 8:30 p.m. Complex Systems
29/04 (Thursday) 6:30 p.m. to 8:30 p.m. ACM Research Seminar 1
04/05 (Tuesday) 6:30 p.m. to 8:30 p.m. Stochastic Analysis
06/05 (Thursday) 6:30 p.m. to 8:30 p.m. Computational
11/05 (Tuesday) 6:30 p.m. to 8:30 p.m. Mathematics for Deep Learning
13/05 (Thursday) 6:30 p.m. to 8:30 p.m. Complex Systems