SylabUZ

Generate PDF for this page

Computer measurement systems - course description

General information
Course name Computer measurement systems
Course ID 13.2-WF-FizP-CG-S18
Faculty Faculty of Physics and Astronomy
Field of study Physics
Education profile academic
Level of studies First-cycle studies leading to Bachelor's degree
Beginning semester winter term 2020/2021
Course information
Semester 4
ECTS credits to win 2
Available in specialities Computer Physics
Course type obligatory
Teaching language english
Author of syllabus
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Laboratory 30 2 - - Credit with grade

Aim of the course

The main aim of the course is to provide the following topics:

A) basics of analog-to-digital converters integrated with RaspberryPi microcomputers, embedded systems and Arduing hardware programming interface

B) applications of various network interfaces and communication services in distributed measurement systems development

C) introduction to OpenHardware platform and Internet of Things (IoT)

D) introduction to hi-level measurements devices programming 

Prerequisites

Software programming basics, basics of physics and electronics

 

Scope

comparator, analog-to-digital converter, digitalization and quantization, RaspberryPi microcomputer, Arduino as a hardware development platform, OpenHardware, Internet-of-Things, basics of network communication, physical background of various sensors

Teaching methods

Laboratory, team work, brainstorming

 

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Final grade will be calculated as as average of individual grades from oral answers and observed development of practice skills (25% to final grade) and the avg grade from at least two project developed during the semester (75% to final grade)

 

Recommended reading

Steven W. Smith: The Scientist and Engineer's Guide to Digital Signal Processing, http://www.dspguide.com/

https://www.raspberrypi.org/magpi-issues/Beginners_Guide_v1.pdf

Further reading

Open-Source Lab: How to Build Your Own Hardware and Reduce Research Costs. Joshua M. Pearce. Elsevier, 2013

https://www.openhardware.io/

Notes


Modified by dr hab. Piotr Lubiński, prof. UZ (last modification: 04-06-2020 14:33)