This course encompasses a wide range of measurement techniques, including physical, thermal, electrical, and optical methods, as well as those utilized in electrochemistry, chromatography, and spectroscopy. Additionally, it provides insights into maintenance practices, system packaging, and considerations for data handling.

The utilization of thermal, electrical, and optical techniques, as well as those employed in electrochemistry, chromatography, and spectroscopy, is covered in the course. It also addresses topics related to maintenance, system packaging, and the handling of data.

Chemical laboratories play a vital and integral role in modern industries. They are utilized for controlling and monitoring operational processes at various levels.

Course Objectives:

The course includes both online (site) and offline (lab) analyzers and covers the principle of analyzer concept, available systems, latest update, and Safety aspect related to them and method of selection based on the required application. This workshop will perform as exchanging and alternating of information and experience between the instructor and the attendees.

Also to exchange knowledge and information required for the safety of performers and/or equipment when working inside or outside the laboratory. To know the best way of maintaining samples from external and /or environmental contamination. Also, to know the required basic and fundamental information about each device in the laboratory (instrumentation and electrical)

Who Should Attend?

This course is for anyone working in laboratories, Also this course is intended as an introductory overview for persons who are starting out in the industry or as a refresher for more experienced personnel; those who need updated information about techniques they use regularly as well as those with which they are less familiar.

Course Outlines:

Mail Topics will cover:

Chemistry of Chemical Analyzers
Continuous & Discrete Sample Preparation Techniques
Measurement devises Technology
Calibration & Validation Methods

Introductions

Course program
Course objectives
Introductions to participants and trainer

Systems development lifecycles

Lifecycle models
Implications of using various lifecycles
Systems development approaches and methods

Process modelling

Purpose and use in the lifecycle
Alternative approaches (data flow models, end-to-end process models, use cases)
Use Case diagrams – concepts and notation
Use Case descriptions
Activity diagrams
Decision tables

Class and Data modelling

Purpose and use in the lifecycle
Alternative approaches (LDM/ERM, TNF/RDA, object class models)
Top-down versus bottom-up
Classes
Attributes
Abstraction and Encapsulation
Associations
Inheritance

Events and Collaborations

Event Modelling
The effects of events on classes
Collaboration Matrix

Filters