Level of Education
2 years of post-secondary education
ECTS
2 credits
Training Structure
College of Sciences
Time of year
Spring
Description
This course continues to provide students with training in applied mathematics, particularly in the use of statistical tools:
# Concepts of Populations and Random Samples.
# Estimators.
#Mean Square Error and Bias-Variance Decomposition.
# Empirical estimators of the mean and variance. Construction of estimators using the method of moments. Maximum likelihood.
Interval estimation.
# Hypothesis testing: null hypothesis, alternative hypothesis. Type I and Type II errors. Test power. Test statistic, rejection region. Examples of classic tests.
Mandatory Prerequisites
Mathematics Instruction in the First and Second Years of the CPES Program
Knowledge Assessment
Ongoing Assessment and Final ExamÂ