MySchool

Department of Engineering
Dean:	Dr. Ármann Gylfason
Email:	ru@ru.is
Website:	http://www.ru.is/tvd
Teachers	View

MSc in Financial Engineering
Semesters:	4
Years:	2
ETCS:	120
About major	Fjármálaverkfræði er þverfagleg grein sem samþættir fjármálafræði við verkfræðilegar aðferðir, stærðfræðileg líkön, tölfræði, aðgerðagreiningu og hagnýta tölvunarfræði. Nám í fjármálaverkfræði hentar þeim sem hafa áhuga á t.d. áhættustýringu, afleiðuviðskiptum eða fjárstýringu. MSc námið er mótað að kröfum Verkfræðingafélags Íslands um fullnaðarmenntun í verkfræði.
Learning Outcomes	View
Education cycle	2

Legend
	Mandatory course on major		Teaching language
	Optional course on major		Prerequisites for course

Vorönn/Spring 2024

Energy Financial Assessment

SE-833-FA2

ECTS 6

Engineering Optimization

T-423-ENOP

ECTS 6

Sleep

T-424-SLEE

ECTS 6

Decision Analysis for Management

T-603-AKVA

ECTS 6

Internship in Engineering I

T-706-INT1

ECTS 6

Internship in Engineering II

T-706-INT2

ECTS 6

Systems Biology

T-765-SYBI

ECTS 8

Project Management and Strategic Planning

T-803-VERK

ECTS 8

Derivatives and risk management

T-814-DERI

ECTS 8

Creating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation Process

T-814-INNO

ECTS 8

Modern Trends in Financial Engineering

T-816-MTFE

ECTS 8

Tissue Engineering and Biomaterials

T-828-TISS

ECTS 8

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Finite Element Analysis in Engineering

T-844-FEMM

ECTS 8

Neural Engineering

T-863-NEUR

ECTS 8

Wind Power

T-863-WIND

ECTS 8

Power System Operation

T-867-POSY

ECTS 8

Stability and Control in Electric Power Systems

T-867-STAB

ECTS 8

Protection Philosophy for Smart-Grids

T-868-PROT

ECTS 8

MSc Thesis

T-899-MEIS

ECTS 30

MSc Thesis

T-900-MEIS

ECTS 30

MSc thesis II

T-901-MEI2

ECTS 30

Business Process Management

V-716-BPMA

ECTS 7,5

Entrepreneurial Finance

V-733-ENTR

ECTS 7,5

Business Intelligence and Analytics

V-784-REK5

ECTS 7,5

Entrepreneurship and Starting New Ventures

X-204-STOF

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Sumar/Summer 2024

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Haustönn/Fall 2024

Special Topics in Energy I

SE-801-STE

ECTS 1

Energy Economics

SE-805-EC1

ECTS 6

Special Topics in Energy III

SE-806-STE

ECTS 6

Embedded System Programming

T-738-EMBE

ECTS 8

Simulation II

T-806-SIMU

ECTS 6

Quality Management

T-807-QUAL

ECTS 6

Applying Models in Management

T-808-NOLI

ECTS 8

Data Mining and Machine Learning

T-809-DATA

ECTS 8

Optimization Methods

T-810-OPTI

ECTS 8

Applied Probability

T-811-PROB

ECTS 8

Financial Engineering of the Firm

T-814-FINA

ECTS 8

Managing Research and Development - Methods and Models

T-814-PROD

ECTS 8

Fixed Income and Interest Rate Modelling

T-815-FIXE

ECTS 8

Advanced Biomechanics II

T-828-BIOM

ECTS 8

Energy in Industrial Processes

T-863-EIIP

ECTS 8

Numerical fluid flow and heat transfer

T-864-NUFF

ECTS 8

Precision Machine Design

T-865-MADE

ECTS 8

High Voltage Engineering

T-866-HIVO

ECTS 8

Year

1. year

Semester

Fall 2024

Level of course

6. Second cycle, advanced

Type of course

Elective

Prerequisites

No prerequisites.

Schedule

No schedule found.

Lecturer

No lecturer found.

Content

Content: • Electric field characteristics. Analytical estimation of electric fields.• Numerical computing of voltage distributions and electric fields using Finite-Difference codes. Numerical solving of Laplace Equation.• Numerical analysis of E-fields using CST EM Studio.• Generation of DC, AC and impulse high-voltages.• Measurement of DC, AC and impulse high-voltages.• Breakdown in gases, liquids, and solid dielectrics. Application of insulating materials in electrical components. Design of insulators.• Overvoltage phenomenon.

Learning outcome - Objectives

Knowledge: By the end of the course the students will be able:

to understand basic concepts and phenomena relevant to dimensioning and evaluation of high voltage (HV) components with regard to electrical, electro-mechanical, and thermal stress of insulators and conductors,
to identify key component’s parameters and define critical quantities/figures of HV components,
to examine the influence of the identified component’s parameters on the critical quantities/figures,
to differentiate and subsequently prioritise the critical figures with regard to safe and reliable operation of a particular component/insulator, as well as
to reliably estimate values and uncertainties of relevant figures.

Skills: By the completion of the course the students should be able:

to identify electric field characteristics (as well other related quantities, e.g., temperature, pressure, current, etc.,) and material parameters appropriate for a particular HV problem,
to use analytical methods to estimate: HV components/insulation characteristics, potential relief in the electric stress due to proper component dimensioning/grading, possible value of electric field build up due to insulation defects,
to develop, modify and, use finite-difference numerical codes for computing and visualization of electric fields and voltage distributions,
to set up and use electric schematic evaluators for steady-state and transient thermal analyses and ampacity evaluation of HV cables,
to simulate electric stress using CST EM studio,
to make a state of the art review on a particular HV problem using available databases (e.g., ieeexplore), as well as to evaluate reliability of the available formulas and approaches for HV problems.

Competence: By the completion of the course, the students should have developed a basic vision of existing methods and tools relevant to design and analysis of HV components/insulators. Completion of the course assignments requires the student (a) to elaborate the work plan for every assignment, (b) to list modelling approximations/assumptions, (c) to define the figures of interest, (d) to configure evaluation tools, (e) to interpret the evaluation results, (f) to present the completed assignment in the form of a report describing the problem formulation, description of methods, results, conclusion, and bibliography.

Course assessment

Projects (incl. project reports): 3 x 25% = 75%; Subject reviews (incl. ppt-presentations): 2 x 12.5% = 25%.

Reading material

No reading material found.

Teaching and learning activities

Lectures and practical (project) sessions.

Language of instruction

English

Smart-Grid and Sustainable Power Systems

T-867-GRID

ECTS 8

Computer Vision Applications