Παρουσίαση/Προβολή

(EEE569) -  CHRISTOS CHORIANOPOULOS

Περιγραφή Μαθήματος

This course aims at introducing students to the fundamental concepts of Probability Theory and Statistics, culminating multidimensional random variables and inferential statistics. The course also introduces basic ideas of modeling using Markov processes and techniques of proof that are of vital importance in future courses in electrical and electronic engineering.
On successful completion of this course students will be able to:

• calculate probabilities of stochastic events
• understand the appropriate cognitive tools that are necessary for the development of statistical inference
• solve problems that are modeled using random variables and draw conclusions on their results
• understand the concept of the correlation and independence of random variables
• comprehend the significance of the limit theorems in Probability Theory and the concept of convergence of random variables model physical phenomena using Markov Chains and draw conclusions upon their analysis.

The students are introduced into the basic ideas of inferential statistics, and learn methodologies with which they can generalize the conclusions they get for the sample to the population by using various estimators and interpreting their basic properties. They will also know, from the point of view of Statistics, the very important concepts of Linear Correlation and Linear Regression. The
problems the students deal with in this course are related to the electrical and electronic engineering studies subject and to more general engineering applications and therefore the students will be equipped with all the required knowledge to cope with other courses.

 

Course Outline:

Part 1 "Introduction to Probability Theory"
Part 2 "Random Variables and Probability distributions"
Part 3 "Special Topics of Probability Theory"
Part 4 "Introduction to Descriptive and Inferential Statistics"
Part 5 "Linear regression."

Ημερομηνία δημιουργίας

Τρίτη 7 Μαρτίου 2023