RAB1200 Anatomy, Physiology and Fundamentals of X-ray Images Course description

After completing this course, the student will achieve the following learning outcomes, defined as knowledge, skills and general competence:

Knowledge

Students can:

• understand the underlying principles of dynamics and control
• critically assess the feasibility of a dynamic system for a specific application
• apply the methods of analysis and design of systems for motion control
• explain the most commonly used components for such systems
• demonstrate understanding of the principles of mechatronics and dynamic structures monitoring
• demonstrate the knowledge of modern sensors and actuators used for monitoring of dynamic parameters

Skills

Students can:

• Apply the knowledge on dynamic structures’ behaviour to propose an efficient control method for a given application
• Propose a design of a robotic system to perform a specified task, commenting on critical aspects of the design and system performance
• Assess the type and range of parameters that needs to be measured for a safe operation of a dynamic structure.

General competence

Students can:

• Suggest methods for assessing structural integrity of a dynamic structure subjected to a short-term or a long-term loading, considering materials and purpose of the system.
• communicate about course related topics with others from the field.

Lectures, tutorials and project assignments.

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 how functions can be approximated by taylor polynomials, power series and/or fourier series, explain what it means that a series converge, and differentiate and integrate powerseries.
• explaining what a frequency spectrum is, and explaining the principle of filtering signals in the frequency domain.
• describing and explaining how a sequence of numbers can originate by sampling, by using a formulae or as the solution of a difference equation.
• explaining how to interpolate sampled data.
• explaining partial differentiation and using different graphical ways to describe functions of two variables
• calculating eigenvalues and eigenvectors of matrixes and giving a geometrical interpretaions of these values

Skills

The student is capable of:

• discussing the connection between fourier series and fourier transforms
• discussing pro and cons using interpolating polynomials, splines and least squares method to interpolate sampled data
• discussing error barriers when using polynomials to approximate functions
• using simple tests of convergence of series, for example the ratio test
• giving a geometrical interpretation of gradient and directional derivative and using linear approximation and total differential of functions of two variables to calculate uncertainty
• using partial differentiation to calculate and classify critical points of functions of two variables
• using eigenvalues and eigenvectors to solve systems of differential equations with constant coeffisients

General competence

The student is capable of:

• identifying the connection between mathematics and their own field of engineering
• translating a practical problem from their own field into mathematical form, so that it can be solved analytically or numerically
• using mathematical methods and tools that are relevant to their field of engineering
• assessing the results of mathematical calculations and using basic numerical algorithms

New exam spring 2020:

1. Portfolio (counts 40%). The portfolio consists of:

• 2 individual assignments
• 2 group assignments, 3-5 students per group.

The portfolio is graded as a whole and given one grade.

2: 3-hour home exam (60%)

Exam results can be appealed.

[Orignal

1. Portfolio (counts 40%). The portfolio consists of:

• 2 individual assignments
• 2 group assignments, 3-5 students per group.

The portfolio is graded as a whole and given one grade.

2. Individual written exam (counts 60%).

Exam results can be appealed.]

All.

[Handheld calculator that does not have wireless communication. If the calculator has the possibility of storage in the internal memory, the memory must be deleted before the exam. Random sampling may be conducted.]

For the final assessment, a grade scale from A to E is used for passing (A is highest grade and E is lowest) and F for failing.

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

Kunnskap

Studenten

• har kunnskap om tallsystemer
• har kunnskap om logisk algebra
• har kunnskap om metoder for analyse og konstruksjon av digitale kretser
• kjenner til de mest brukte digitale kombinatoriske og sekvensielle kretser og kan anvende disse
• kjenner til FPGA/CPLD
• kjenner til VHDL

Ferdigheter

Studenten

• kan lese og kople opp etter et skjema og drive nødvendig feilsøking
• kan diskutere en kretsløsning og forklare hvordan den virker
• kan bruke leverandørmanualer og datablad på egen hånd
• kan konstruere digitale kretser og kontrollere at de virker

Generelle kompetanse

Studenten

• kan analysere et problem og spesifisere en løsningsmetodikk
• kan drøfte og diskutere ulike valg av løsningsmetode
• har grunnleggende kunnskaper innen oppbygging og virkemåte av digitale kretser

One internal examiner. External examiners are used regularly.

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

• Seks laboratorieøvinger.
• Én prosjektoppgave.

Individuell skriftlig eksamen på tre timer.

Eksamensresultat kan påklages.