Course code MATH310

MATH310 Selected topics in applied mathematics

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Showing course contents for the educational year 2017 - 2018 .

Course responsible: Ulf Geir Indahl, Arkadi Ponossov
Teachers: Amira Rachah, Bjørn Fredrik Nielsen, Ulf Geir Indahl
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: EN
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in Fall or Spring parallel. This course has teaching/evaluation in Fall and Spring parallel, respectively.
Course frequency: Other. The course will be given in Fall 2017, otherwise it will only be given depending on capacity and demand.
First time: Study year 2007-2008
Preferential right:
Course contents:

The course content will usually be from the following fields: differential equations, integro-differential equations, integral equations. numerical mathematics, inverse problems, statistical methods, functional analysis, but may vary from year to year.

The topic in 2017: Optimization and applications (fundamental concepts of optimization, types of optimization problems, convex sets, convex functions, convex optimization problems, Lagrangian and duality, introduction to optimization models and applications (statistics, informatics, economics, biotechnology and chemistry, engineering, physics and environmental sciences), use of Matlab for applications.

Learning outcome:

Students will learn applied mathematics and how it can be used to study selected problems in environmental sciences, biology and physics.

In 2017 students will learn optimization and how it can be applied in environmental sciences, chemistry, biology, physics, statistics, informatics and economics.

Learning activities:
The teaching is given in the form of lectures, seminars and individual guidance.
Teaching support:
The students can contact the teacher responsible for the course at the teacher's office, by telephone or by e-mail.
The syllabus will be defined every time the course is offered.
MATH111, MATH112, MATH113 or MATH131, MATH280.
Recommended prerequisites:
Mandatory activity:
Mandatory exercises throughout the term. Rules for approval of mandatory activity will be presented at the start of the term.
Oral exam based on a written project report submitted by the student ahead of the exam.
Nominal workload:
300 hours.
Entrance requirements:
Special requirements in Science
Reduction of credits:
Type of course:
4 hours lectures per week. 2 hours seminar per. week
The sensor will participate in the oral exam, including the evaluation of the written report.
Examination details: Oral exam: A - E / Ikke bestått