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Vår 2020

STE6308 Virtual Manufacturing - 5 stp

The course is administrated by

Faculty of Engineering Science and Technology

Type of course

Theoretical course. The course may be taken as a single subject

Course contents

Introduction to simulation; Simulation Examples; General principles; Programming languages and methods.

Application deadline

Applicants from Nordic countries: 1 December Exchange students and Fulbright students: 1 October

Admission requirements

A relevant undergraduate bachelor Engineering programme with minimum 30 credits Mathematics/statistics topics

Application code: 9371 

Suggested perequisite: STE6210 Robotics in Manufacturing Systems

Objective of the course

The course gives students insights of fundamentals of manufacturing system simulation and advanced simulation methods and tools. Exercises are provided for mastering those methods and tools within the Virtual Manufacturing Laboratory/visualization center and verified within the Machining Laboratory.

Knowledge base of VM is enlarged through use of advanced designing, programing and production simulating methods and tools.

Project based course will cover "in general" problems of modern enterprises and provide the solutions from the field of the industrial engineering.

Manufacturing "know how" is extended with use of most modern CNC machine tools for parts production and Coordinate Measuring Machine (CMM) for parts evaluation and finally automated systems for mechanical assembly.



General competence

Language of instruction


Teaching methods

Lectures, and laboratory work/exercises, mainly with computers.

Project work.


An individual project work will account for 100% of the grade in the course.

The grading will be done by using an A-F grading scale, where F is a fail.

A re-sit exam will NOT be arranged for this course.

Date for examination

Take-home examination hand in date 04.05.2020

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.

Lectures Spring 2020
Forelesning stip. Beibei Shu