Computer-aided design - course description

General information

Course name	Computer-aided design
Course ID	11.9-WE-INFP-C-AD-Er
Faculty	Faculty of Computer Science, Electrical Engineering and Automatics
Field of study	Computer Science
Education profile	academic
Level of studies	First-cycle Erasmus programme
Beginning semester	winter term 2019/2020

Course information

Semester	5
ECTS credits to win	5
Course type	obligatory
Teaching language	english
Author of syllabus	dr hab. inż. Janusz Kaczmarek, prof. UZ

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
Lecture	15	1	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade

Aim of the course

Know-how and competences in the field of designing and creating the software for measurement systems with the use of specialized integrated software environments: LabVIEW and LabWindows.

Prerequisites

Principles of programming, Experimental techniques

Scope

Basic knowledge of the virtual instruments. Basic definitions. Characteristic of integrated software environments to designing the software for virtual instruments and measurement systems.

Introduction to programming in LabWindows. LabWindows overview. Basics of creating the Graphical User Interface. Generating the source code. Methods of designing programs: callback functions and event loops. Debugging techniques. Properties and programming control of GUI objects. Characteristic of library functions for analysis and processing of measurement signals. Methods of creating reports from measurements. Creating and distributing executable program.

Multithreading programming techniques. Using internet programming technology.

Introduction to programming in LabVIEW. Concept of the graphical programming language G. Building a front panel and block diagram. Basic and composite data types. Controlling program execution with loops and structures: for, while, shift-register mechanism, case, sequence, formula node. Operations on arrays and strings. Characteristic of library functions for analysis and processing of measurement signals.

Selected programming techniques in LabVIEW. Hierarchical programming. Global and local variables. Polling and event-driven programming models. Express technology.

Teaching methods

Lecture: conventional lecture

Laboratory: laboratory exercises, group work

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture – the passing condition is to obtain a positive mark from the final test.

Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.

Calculation of the final grade: lecture 40% + laboratory 60%

Notes

Modified by prof. dr hab. inż. Andrzej Obuchowicz (last modification: 27-10-2019 09:30)

Generate PDF for this page