Teoria da Medida e Probabilidade - Matemática - Sem Ramos - Especialidades

ECTS / Credit Units
Year: 3 / 1º Semestre
Plan: 2015/16
Scientific Area: MAT
Level: Intermédio

Semestral Hour Load

Theorical: 48.00
Theorical-Pratical: 32.00
Pratical and Laboratorial:


Assigned Internship Hours:
Assigned Projects Hours:
Assigned Fieldwork Hours:
Assigned Study Hours:
Assigned Evaluation Hours:

Degree having this Course

Degree - Branch Degree Plan Year
Matemática - Sem Ramos - Especialidades 2015/16

Teaching Staff

Sandra Maria Freitas Mendonça
Sandra Maria Freitas Mendonça

Responsável pelas Pautas
Ensino teórico
Ensino teórico-prático

Course Information

Course Objectivs

1 Developing thinking skills in students, rigor, abstraction, deduction and analysis.

2 Justify a general framework the knowledge acquired in the course of Probability and Statistics related to the concept of probability.

3 To familiarize students with the evidence of results and require the knowledge of them.

Evaluation Criteria

Classification Type: Quantitative (0-20)
Evaluation Model: A
Evaluation Methodology: Frequencies: The evaluation aims to measure frequencies and theoretical knowledge and theoretical and practical ability to apply concepts to solve problems. It also aims to analyze the student's ability to relate the subjects studied, whenever feasible. Classes should provide the students interact with the teacher so that they feel free to expose their difficulties and / or contributions to acquire work habits and ability to think independently. The student should be encouraged to maintain a plan of study and work continued throughout the semester.

Evaluation dates:

07/11/2017 Room 11, 11:00-13:00
09/01/2018 TBA Room, 09:30-11:30

Program Resume (get program detail)

Main Bibliography

Capinski, M. e Kopp (2000). Measure, Integral and Probability. Springer-verlag.
Sandra Mendonça (2007). Teoria da Medida e Probabilidade (algumas notas teóricas).

Other Biographical Sources / Support Documents

Adams, M. & Guillemin (1996). Measure Theory and Probability. Birkhäuser..
Bauer, H. (2001). Measure and Integration Theory. Walter de Gruyter.
Burril, C. W. (1972). Measure, Integration and Probability. Mc Graw-Hill.
Halmos, P. R. (1950). Measure Theory. Van Nostrand.
Pollard, D. (2002). A User's Guide to Measure Theoretic Probability. Cambridge.
Rohatgi, V. K. (1976). An Introduction to Probability Theory and Mathematical Statistics. John Wiley and Sons.

Student Support

Wednesdays: 15:00-17:30.

Associated Links


Quartas-feiras: 15:00-17:30.