Close Help Print Course module: 202000406 202000406 Statistics Course info Course module 202000406 Credits (ECTS) 3 Course type Study Unit Language of instruction English Contact person dr. K. Poortema E-mail k.poortema@utwente.nl Lecturer(s) Lecturer dr. F. Kula Examiner dr. K. Poortema Contactperson for the course dr. K. Poortema Lecturer dr. A.K. Sinha Academic year 2021 Starting block 2B Application procedure You apply via OSIRIS Student Registration using OSIRIS Yes Aims After successful completion of this part, the student is able to: apply the convolutions and the conditional expectations/variances to solve an elementary stochastic inventory problem 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 Close Help Print