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Kies de Nederlandse taal
Course module: 202000406
202000406
Statistics
Course info
Course module202000406
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. K. Poortema
E-mailk.poortema@utwente.nl
Lecturer(s)
Lecturer
dr. F. Kula
Contactperson for the course
dr. K. Poortema
Examiner
dr. K. Poortema
Lecturer
dr. A.K. Sinha
Academic year2021
Starting block
2B
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
After successful completion of this part, the student is able to:
  1. apply the convolutions and the conditional expectations/variances to solve an elementary stochastic inventory problem
  2. apply regression theory to investigate dependence between variables in a simple data set
Content
Probability theory: convolutions and conditional expectations/variances of continuous and discrete random variables
Regression theory in order to investigate dependence between multiple variables in a data set.
Assumed previous knowledge
Random variables mean, variance, and standard deviation. Continuous Probability distributions: normal and gamma. Discrete distributions. Statistics. Conditional probability, and conditional variance (Probability and statistics in Module 4). The conditional variance is explained in the same quarter. This is taken into account in the timing between SCM content and the statistics and math.
Module
Module 4
Participating study
Bachelor Industrial Engineering and Management
Required materials
-
Recommended materials
Book
Applied Statistics and Probability for Engineers, by D. Montgomery and G. Runger. Fifth Edition. SI version. | ISBN-13: 978-0470053041
Instructional modes
Lecture

Tutorial

Tests
Statistics Exam 1

Statistics Exam 2

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Kies de Nederlandse taal