Testing information systems - course description

General information

Course name	Testing information systems
Course ID	06.0-WE-INFP-TestInformSys-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	6
ECTS credits to win	5
Course type	optional
Teaching language	english
Author of syllabus	dr inż. Michał Doligalski

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
Project	15	1	-	-	Credit with grade

Aim of the course

Familiarize students with the life cycle of a computer system with particular emphasis on the tools and techniques of verification
Shaping the understanding of the need to ensure the highest quality and reliability of information systems
shaping skills to design and verification of computer systems, and in particular the use of automate test tools to and verification of hardware part of systems

Prerequisites

digital Circuits

Scope

Basic principles of testing programs, testing place in the computer engineering and software engineering. Inspection of the source code and test cases development. Testing individual application modules, integration testing. Functional testing, system, acceptance, and installation. Extreme testing. Web applications testing. Continuous integration. Test automation. Construction and operation of diagnostic tools: Introduction to the construction, principles of operation and measurement digital diagnostic apparatus. The use of an oscilloscope and arbitrary waveform generator for generating digital waveforms and analog waveforms recorded on the basis of using an oscilloscope. The boundary conditions of work of digital circuits. Diagnosis of hardware-software systems micro-informatics: Logic analyzer in the analysis of digital systems. Developing algorithms trigger based on changes or signal values. Use of simulation results verifies the prototype stage. Extending digital microsystems of the block generator for testing. Analysis of transmission in computer networks. Diagnostic software: Embedding test modules inside embedded systems (Chipscope Pro).

Teaching methods

Lecture: Lecture problem, lecture conventional
laboratory: group work, laboratory exercises
project: teamwork, project method

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.
Project - - project, report, oral presentation the passing condition is to obtain positive marks
Calculation of the final grade: lecture 40% + laboratory 30% + project 30%

Notes

Modified by prof. dr hab. inż. Andrzej Obuchowicz (last modification: 27-10-2019 10:50)

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