Course contents
1.Introduction & Probability review.
2.Random variable generators
3.Output data analysis: parameter estimation, correlation
4.Variance reduction techniques
5.Validation techniques & Hypothesis testing
Course memo Spring 2021-61126
Version 1 – 01/14/2021, 9:27:37 AM
Spring 2021-1 (Start date 04/02/2021, English)
English
EECS/Communication Systems
Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Spring 2019
1.Introduction & Probability review.
2.Random variable generators
3.Output data analysis: parameter estimation, correlation
4.Variance reduction techniques
5.Validation techniques & Hypothesis testing
The course aims at providing the students with the fundamentals of experimental design techniques in Stochastic simulation. The focus is on telecom applications. After completion of the course the students should be able to
The course will consist of
5 video lectures
4 homework assignments with discussion seminars (Zoom)
1 project - written report and oral presentation session.
The students are expected to solve designated homework problems and send in written solutions to the problems prior to each of the weekly seminars. Further, the students should be prepared to make oral presentations of their solutions in the seminar sessions. The course in concluded with an individual simulation task that the student will present as a written report and in an oral presentation
Date | Learning activities | Content | Preparations |
---|---|---|---|
Feb 4, 9-10 | Introduction seminar | Course planning | |
Feb 11, 10-12 | Homework sem 1 | Presentation and discussion of solutions by students | Homework assignment 1 |
Feb 18, 10-12 | Homework sem 2 | Presentation and discussion of solutions by students | Homework assignment 2 |
Feb 25 10-12 | Homework sem 3 | Presentation and discussion of solutions by students | Homework assignment 3 |
March 4, 10-12 | Homework sem 4 | Presentation and discussion of solutions by students | Homework assignment 4 |
March 18, 10-12 | Project presentation | Oral presentation of project report | Written project report |
1.University level course in probability and statistics
2.Basic programming skills, preferably in Matlab
Sheldon M. Ross, Simulation, Fifth Edition, Academic Press, ISBN-10: 0124158250
Students at KTH with a permanent disability can get support during studies from Funka:
Funka - compensatory support for students with disabilities
Please inform the course coordinator if you need compensatory support during the course. Present a certificate from Funka.
P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
The section below is not retrieved from the course syllabus:
70% of the homwework problems adequately solved
Passed project report and oral presentation
No information inserted
4 Feb 2021
English