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

Year

1. year

Semester

Fall 2024

Level of course

4. Second cycle, introductory

Type of course

Elective

Prerequisites

No prerequisites.

Schedule

No schedule found.

Lecturer

Joseph Timothy Foley

Content

Taught in English A systematic approach to designing machines able to reliably and repeatedly perform a task. Factors that are of minor importance for low-performance simple machines can quickly become impossible obstacles without the right tools and techniques. The tools introduced in this class is Axiomatic Design Theory aka. Complexity Theory. In this class these techniques will be applied for designing and building high-perfomance machine(s) with our sponsors. Customers will be interviewed to develop Customer Needs(CN). From these CNs, Functional Requirements and Design Parameters will be developed to evaluate possible solutions. The chosen solution will be prototyped and evaluated. LaTeXintroduced for proper documentation and citation generation with Subversion as a mechanism for collaboration. There is a high expectation of documentation and mathematical analysis.

Learning outcome - Objectives

Prerequisites:

Basic PLC, Python, C/C++ or Java programming
Basic electronics (resistors, inductors, capacitors)
Understanding of structural analysis (stresses, strains, bending)
Familiarity with solid modeling tool (Inventor, Solidworks, etc)

On completion of the course the student should be able to:

solve complex and open-ended "hard" mechanical design problems using systematic design processes
Apply Axiomatic Design to develop Functional Requirements, Design Parameters, and Design matricies
analyze error budgets in machine design and propose improvements
understand what is "hard" about precision and how to address those challenges
create effective design documents including reports, risk assessment, and time assessment
present their ideas effectively for customers and peer reviews
design and perform experiments to test design choices
build prototypes of their designs
analyze the performance of prototypes through experiments
harness creative instincts as part of a deterministic process
competently use CAD modeling(Creo, Solidworks, Inventor), LaTeX, Subversion

Course assessment

Reading material

No reading material found.

Teaching and learning activities

Language of instruction

English

High Voltage Engineering

T-866-HIVO

ECTS 8

Smart-Grid and Sustainable Power Systems

T-867-GRID

ECTS 8