autumn 2022
INE-3800 Operations Research 1 - 5 ECTS
Admission requirements
Bachelor degree in Engineering program in mechanical, electrical power, electronics, mechatronics, material science, industrial engineering, process engineering or other equivalent majors.
In addition, the following requirements must be met:
-minimum 25 credits in mathematics (equivalent to Mathematical Methods 1, 2 og 3), 5 credits in statistics and 7,5 ects i physics on a higher level is required.
Prerequisite(s) Knowledge about linear algebra, classical calculus (maximum/minimum for multi-variable functions) and computer programming at bachelor level.
Application code: 9371
Course content
Linear optimisation:
Linear optimization concerns the application of mathematical modelling of complex linear problems arising in management and operation of complex systems, consisting of human beings, machines, materials and capital. The purpose is to help management people and problem solvers to determine its policy and actions by allocation of resources. Considered techniques are: Linear programming, integer programming, network analysis, and transportation problems. Applications: Production planning, product-mix decision making, routing and scheduling of vehicles and crews, blending problems. Furthermore, the historical development, the practical significance and the limitations of the linear mathematical modelling are being discussed.
Industrial Technology Nonlinear Optimisation:
Nonlinear optimisation considers problems to find best (in a well-defined sense) solutions with in general nonlinear problems. Selected topics are the application of nonlinear optimisation in Industrial Technology, solution of nonlinear optimisation problems with both discrete and continuous variables, special optimisation problems, graphical optimisation, software tools for nonlinear optimisation, use of experience-based systems, systems analysis via nonlinear optimisation, optimization algorithms and heuristics methods.
Objectives of the course
Objectives of the course
Knowledge:
The course give and introduction to operations research and provides the student knowledge of mathematical modelling of complex linear and nonlinear industrial problems and different basic optimization techniques connected to these models.
Skills:
The candidate will be able to, from a text based description, set up linear and nonlinear
models to optimize industrial problems.
The candidate will have the ability to use different basic optimisation techniques connected to linear and nonlinear models.
The candidate will have the ability to use different software as tools for optimisation of linear and nonlinear models.
General (overall) Qualifications: Based on the given knowledge and skills in mathematical modelling of linear and nonlinear problems the candidate shall be able to communicate, solve and improve related problems in future education and working life
Information to incoming exchange students
This course is open for inbound exchange student who meets the admission requirements. Please see the Admission requirements" section".
Master Level
Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: https://en.uit.no/education/art?p_document_id=510412
Examination
Examination: | Date: | Duration: | Grade scale: |
---|---|---|---|
Off campus exam | 06.12.2022 10:00 (Hand out) 09.12.2022 10:00 (Hand in) |
3 Days | A–E, fail F |
Coursework requirements:To take an examination, the student must have passed the following coursework requirements: |
|||
Nonlinear Optimisation | Approved – not approved | ||
Nonlinear Optimisation | Approved – not approved |
- About the course
- Campus: Narvik |
- ECTS: 5
- Course code: INE-3800
- Responsible unit
- Institutt for industriell teknologi
- Tidligere år og semester for dette emnet