BØA2020 - Decision Modelling and Optimization


Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 100/100 4 hours D

Course content

The following topics are taught in this course:
- Linear optimization,
- Simplex method,
- Sensitivity analysis and duality in linear optimization,
- Integer programming,
- Network models (Transport, transshipment, travelling salesman, shortest path and similar models),
- Non-linear optimization (with and without constraints),
- Gradient, steepest descent, and KKT-based algorithms,
- Branch and Bound,
- Decision tree model,
- Introduction to dynamic optimization (optional),
- Introduction to stochastic optimization (optional).
Most of the models will be implemented by means of Excel spreadsheets and solver.

Learning outcome

The student learns about the variety of practical decision problems that can be described by means of quantitative models.
The student receives knowledge about necessary components and properties of quantitative decision models.
The student obtains knowledge about solution methods or algorithms that are useful to find solutions to decision problems and models.

The student will be enabled
(1) to translate practical decision problems into quantitative models,
(2) to analyse the properties of decision models,
(3) to apply appropriate methods for finding solutions to decision models,
(4) to implement decision models with software,
(5) to transform complex models into models that are better accessible by solver software.

General Competence:
The student learns how to apply his knowledge and skills in different practical situations. He will be encouraged to reflect about advantages, shortcomings and further reaching implications of his models and solutions.

Learning methods and activities

Lectures, written exercises and data exercises.

Compulsory assignments

  • To obligatoriske innleveringer

Further on evaluation

Supporting material allowed on exams: Approved calculator regarding NTNUs support material code B-D "specific basic calculator". Other calculators that are allowed in the course are: Casio FC-100V and Texas Instruments - BAII Plus.


It is possible that parts of the exercises need to be implemented with Microsoft Excel. In this case a PC with Microsoft Excel will be provided and set up by NTNU. No individual printed, hand written or electronically saved materials allowed. No Internet connection allowed. No network access or access to home and user directories from PC allowed The exam follows the examination regulations of NTNU.


Requires admission to study program, see "special conditions".

In case of postponed examination (continuation examination), written examination may be changed to oral examination.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Required previous knowledge

This course requires elementary courses in mathematics and managerial economics.

Course materials

The curriculum will be announced when the course commences.

Credit reductions

Course code Reduction From To
BØA2020 7.5 01.01.2009
BØA2020 7.5 01.01.2009
BØA2021 7.5 01.08.2007
TIØ4120 7.5 01.08.2017
TIØ4126 3.7 01.08.2017
More on the course



Version: C
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Economics and Administration
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
NTNU Business School



Examination arrangement: Written examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Written examination 100/100 D 09:00 INSPERA
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"

More on examinations at NTNU