ELTS3900 Bachelor Thesis Course description

Prerequisite knowledge

Students must be registered in the third year and have completed at least 100 credits from the first and second years by 1 October before they are assigned a topic for their bachelor’s thesis.

Requirement for preliminary project

A project outline (separate form) must be approved by 15 November. It is the students’ responsibility to:

• form project groups consisting of four members
• contact an enterprise and agree on a collaboration for the bachelor’s thesis
• define a research question and a draft solution for the bachelor’s thesis

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

• is capable of using and further developing their knowledge and expertise from several of the subject areas in the bachelor’s degree programme to carry out a realistic engineering assignment

Skills

The student:

• is capable of planning and carrying out a large-scale project in the field
• is capable of leading project meetings and communicating solutions both orally and in writing
• has practical experience of the basic principles behind scientific work methods, including searching for, assessing and using specialist literature and writing a scientific report
• is capable of searching for and assessing relevant specialist literature and writing the theoretical part of a scientific report based on this material

General competence

The student:

• is capable of translating knowledge into practical solutions
• is capable, in an independent and systematic manner, of carrying out an engineering assignment based on a practical industrial or research-related issue
• is capable of communicating electronic engineering and information technology knowledge both orally and in writing, in both Norwegian and English
• masters both independent work and team work, including the planning and implementation of a large-scale engineering project
• demonstrates a responsible and ethical approach in their professional expertise

No requirements over and above the admission requirements.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

• is capable of explaining the geodetic basis for specifying the height and coordinates of markers in the terrain, as well as the main principles of the theory of errors
• knows the principles behind GNSS, total stations and other surveying equipment
• knows the theory behind practical calculations in surveying
• is capable of explaining key concepts of set theory, probability theory, parameter estimation, hypothesis testing theory and choice of model
• is capable of explaining normal, binomial, Poisson and exponential probability distributions, as well as typical problems to which they can be applied

Skills

The student is capable of:

• calculating the heights and coordinates of markers in the terrain, and of calculating the area of plots and closed traverses
• calculating the area of plots of land
• using a total station and level telescope
• drawing cross- and longitudinal sections and carrying out mass calculations
• applying statistical principles and concepts from his/her own professional field
• carrying out basic probability calculations and parameter estimation
• setting up confidence intervals and testing hypotheses for normally and binomially distributed data
• carrying out simple correlation/regression analyses

General competence

The student:

• understands and is capable of using geographic information for planning, execution and control of building activities using digital equipment such as a total station and GPS, and of using relevant software to interpret the results. The student is capable of using manual calculations to check the results.
• uses statistical approaches to engineering problems and communicates them orally and in writing
• is capable of solving problems in engineering by using probability calculations, statistical planning of trials, data collection and analysis

Lectures and weekly exercise sessions. In the exercise sessions, the students work on assignments, both individually and in groups, under the supervision of a lecturer and/or student assistant (a coursework requirement).

Etter å ha gjennomført dette emnet har studenten følgende læringsutbytte, definert som kunnskap, ferdigheter og generell kompetanse:

Kunnskap

Studenten har kunnskap om:

• metoder for modellering av enkle fysiske systemer
• modellformer for dynamiske systemer ved hjelp av differensiallikninger, blokkdiagrammer, tilstandsrom og transferfunksjoner
• karakteristiske responser for 1. og 2. ordens systemer i tids- og frekvensplan
• metoder for stabilitetsanalyse av åpne og tilbakekoplete systemer
• Laplacetransformasjon og invers Laplacetransformasjon
• numerisk simulering av dynamiske systemer med bruk av MATLAB/Simuling eller lignende

Ferdigheter

Studenten kan:

• sette opp matematiske modeller av enkle fysiske systemer
• beskrive kontinuerlige, lineære dynamiske systemer av 1. og 2. orden ved hjelp av differensiallikninger, blokkdiagrammer, tilstandsrom og transferfunksjoner og konvertere mellom ulike modellformer
• identifisere 1. og 2. ordens systemer ut i fra deres respons i tids- og frekvensplan
• utføre stabilitetsanalyser av åpne og tilbakekoplete systemer
• utføre Laplacetransformasjon og invers Laplacetransformasjon
• anvende Laplacebaserte teknikker for frekvens- og transientanalyse av 1. og 2. ordens systemer

Generell kompetanse

Studenten kan:

• analysere et modelleringsproblem og spesifisere en løsningsmetodikk
• identifisere en eller flere matematiske modeller som kan brukes til å løse reguleringstekniske problemer
• drøfte og begrunne egne valg og prioriteringer innen modellering av kontinuerlige dynamiske systemer
• anvende kunnskapen innen automatisering og reguleringsteknikk.

Følgende arbeidskrav er obligatorisk og må være godkjent for å fremstille seg til eksamen:

• 5 laboratorieoppgaver med protokoll
• 4 (av 5) øvinger