Course - Optimization in Maritime Transportation - IØ8402
IØ8402 - Optimization in Maritime Transportation
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 | D |
Course content
Formulation of maritime transportation systems at different planning levels. Advanced solution methods for different types of maritime planning problems. Practical implementation of such solution methods.
The course will be run every second year, next time Fall 2020.
Learning outcome
The position and function of the course in the PhD program: This course is meant to be a common course for PhD students at IØT working with optimization problems within maritime transportation and logistics.
The course will provide knowledge to achieve solid understanding and overview of:
- classical optimization problem at various planning levels within maritime transportation and logistics,
- state-of-the-art models for the various planning problems and their strengths and weaknesses,
- exact and heuristic optimization methods to solve real maritime transportation and logistics problems and the appropriateness of the different methods in various situations,
- implement models og methods for real planning problems, and
sensible testing of different models and methods.
The course will develop the students' skills such they are able to:
- Formulate real planning problems within maritime transportation and logistics at a professional level,
- choose appropriate methods for solving the maritime transportation and logistics optimization models with regard to solution quality and time, and
start research that can result in international publications.
In addition, the course should provide:
- knowledge about the research frontier within maritime transportation and logistics, and
- an ability to develop a critical and reflective attitude to the applied models and methods and develop a good research ethical attitude.
Learning methods and activities
Lectures, seminars and exercises.
Compulsory assignments
- Exercises
Recommended previous knowledge
Master of Science, Industrial Economics and Technology Management with specialization in optimization and further competance in optimization, or similar.
Required previous knowledge
IØ8400 Mathematical programming
Course materials
Syllabus literature will be given when the course starts.
No
Version: 1
Credits:
10.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2021
Language of instruction: English
Location: Trondheim
- Managerial Economics, Finance and Operations Research
- Industrial Economics and Technology Management
- Operations Research
Department with academic responsibility
Department of Industrial Economics and Technology Management
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100 D
-
Room Building Number of candidates - Spring ORD Oral examination 100/100 D
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"