Details for the Course Syllabus for Course BMEN40F valid from Autumn 2023

General

Aim

The course aims to knowledge of implementation of systems for automated data acquisition. Furthermore, the course aims to provide overview of systems and methods to acquire and transfer measurement data in test- and industry-environments, and also to present methods to program such a system in a structured and logical way.

A project gives the student an opportunity to independently solve a problem for automatized data acquisition. The project aims for the student to, on his or her own, to specify the best strategy to collect measurement data for the given problem. The so specified solution shall then be programmed with methods taught in the course. The project is presented orally for the other students, and also in a written report.

Contents

The course starts with an introduction, examples and labs. A project with a focus on data acquisition is choses at an early stage which is then implemented and evaluated. Reporting and demonstration constitute an important part of the projectwork and is introduced at an early stage in the course. The supervisors will be available for questions and discussions and prearranged times.

Knowledge and Understanding

For a passing grade the doctoral student must
be able to communicate with an instrument from a computer via various bus interfaces
be able to sample data using a data acquisition board in ways that optimize for either simplicity, amount of data or speed

Competences and Skills

For a passing grade the doctoral student must
be able to write a program in the graphical language LabVIEW in a logical and structured manner.
present, both orally and in written form, an automatized solution to a measurement problem

Judgement and Approach

For a passing grade the doctoral student must
have an overview of various soft- and hardware solutions for transfer of measurement data to a computer

Types of Instruction

Examination Formats

Written report
Comments:
Oral presentation of the project work. Completed laboratory exercises.
Grading scale:
Failed, pass

Admission Requirements

Assumed Prior Knowledge

Selection Criteria

Literature

Further Information

Will be given jointly with course at second-cycle level every autumn term, but might be cancelled if fewer than a total of 6 students has registered.

Course code

Administrative Information

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