Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course EEMN10F valid from Autumn 2017

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  • Automatized data acquisition is of fundamental importance for test- and measurement applications in both industry and academia. The objective of the course is to provide an 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. The course is given as lectures with laboratory exercises and a task to train the student to elaborate on the material presented in the lectures. 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.
  • LabVIEW introduction and methods and strategies for structured programming. Bus-systems such as IEEE-488 (GPIB), serial buses, VXI/PXI, Fieldbuses. Data acquisition Boards. Signal conditioning. Software for measurement systems control. Data processing. Introduction to data acquisition using MATLAB.
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.
    - Be able to use MATLAB for a basic data acquisition task
    - Present, both orally and in written form, an automatized solution to a measurement pro
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
  • Lectures
  • Laboratory exercises
  • Exercises
  • Project
Examination Formats
  • Written exam
  • Written report
  • Written assignments
  • Seminars given by participants
  • Passed compulsary parts gives the grade Passed. Higher grades after written exam.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • Basic courses in programming and sensor systems.
Selection Criteria
  • Number of credits attained in courses within the areas of Transducer Technology and Electrical Measurements, the specific topic of commenced thesis, and number of credits left until final degree.
  • Digital course material in the form of manuals can be found on the course homepage.
Further Information
Course code
  • EEMN10F
Administrative Information
  •  -09-26
  • Professor Thomas Johansson

All Published Course Occasions for the Course Syllabus

3 course occasions.

Course code ▽ Course Name ▽ Division ▽ Established ▽ Course syllabus valid from ▽ Start Date ▽ End Date ▽ Published ▽
EEMN10F Computerised Measurement Systems Biomedical Engineering 2017‑09‑28 Autumn 2017 2017‑10‑31 2018‑01‑12 2017‑09‑28
EEMN10F Computerised Measurement Systems Biomedical Engineering 2018‑07‑05 Autumn 2017 2018‑11‑06 2019‑01‑17 2018‑07‑05
EEMN10F Computerised Measurement Systems Biomedical Engineering 2019‑08‑16 Autumn 2017 2019‑11‑04 (approximate) 2020‑01‑19 2019‑08‑16

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