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ENS 505 Methods of Statistical Inference
3 Credits
The main objective of this course is to review the basic
concepts of the theory of statistics and further develop an
understanding of some fundamental applied statistical
methods. The emphasis is on applications of the theory in
the development of statistical procedures. Some examples
of applying statistics to engineering problems are also
given. Theory- and computation-based assignments help
students digest the concepts and apply them in practice.
Covered topics: Fundamental concepts of statistics and
related distributions; design of experiments and analysis of
variance; multiple hypotheses testing; regression and
correlation analysis; Bayesian statistics; computer-aided
analysis of data.
Last Offered Terms
Course Name
SU Credit
Spring 2022-2023
Methods of Statistical Inference
3
Spring 2021-2022
Methods of Statistical Inference
3
Spring 2020-2021
Methods of Statistical Inference
3
Spring 2019-2020
Methods of Statistical Inference
3
Spring 2018-2019
Methods of Statistical Inference
3
Fall 2015-2016
Methods of Statistical Inference
3
Fall 2014-2015
Methods of Statistical Inference
3
Fall 2012-2013
Methods of Statistical Inference
3
Fall 2011-2012
Methods of Statistical Inference
3
Fall 2010-2011
Methods of Statistical Inference
3
Fall 2009-2010
Methods of Statistical Inference
3
Fall 2008-2009
Methods of Statistical Inference
3
Fall 2007-2008
Methods of Statistical Inference
3
Fall 2006-2007
Methods of Statistical Inference
3
Prerequisite: __
Corequisite: __
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements:
| ENS 505 Methods of Statistical Inference | 3 Credits | |||||||||||||||||||||||||||||||||||||||||||||
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| The main objective of this course is to review the basic concepts of the theory of statistics and further develop an understanding of some fundamental applied statistical methods. The emphasis is on applications of the theory in the development of statistical procedures. Some examples of applying statistics to engineering problems are also given. Theory- and computation-based assignments help students digest the concepts and apply them in practice. Covered topics: Fundamental concepts of statistics and related distributions; design of experiments and analysis of variance; multiple hypotheses testing; regression and correlation analysis; Bayesian statistics; computer-aided analysis of data. | ||||||||||||||||||||||||||||||||||||||||||||||
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| Prerequisite: __ | ||||||||||||||||||||||||||||||||||||||||||||||
| Corequisite: __ | ||||||||||||||||||||||||||||||||||||||||||||||
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) | ||||||||||||||||||||||||||||||||||||||||||||||
| General Requirements: | ||||||||||||||||||||||||||||||||||||||||||||||