The UKM Graduate Centre Workshop Series 11/2016: MATLAB – Easy Analytical Tool
The UKM Graduate Centre is pleased to invite you to join “The UKM Graduate Centre Workshop Series 11/2016: MATLAB – Easy Analytical Tool”.
Please feel free to call 603-8921 5162 (Mr. Mohd Hafiz Mohd Supinar), email mohdhafiz@ukm.edu.my for any enquiry.
Don’t miss this golden opportunity. For more information and registration, please click
HERE
The details of the workshop are as follow:
| Date | 3 – 4 March 2016 (Thursday & Friday) |
| Time | 8.30 a.m. – 5.00 p.m. |
| Venue | Computer Lab, Level 1, Faculty of Engineering and Built Environment (New Building) |
| Fees | RM 400.00 UKM Student Only |
| Trainer | Assoc. Prof. Dr. Meor Zainal Meor Talib Dr. Masli Irwan Rosli |
SYNOPSIS
Graduate and postgraduate studies require proficiency in analysis and data presentation. Matlab is one of the available analytical tools that fits the bill. The course is intended to provide sufficient working knowledge on analysis and data manipulations. It is spread over two days. The first day is introduction to Matlab that will cover basic skills and required knowledge to operate Matlab. Basic scripting and essentials for data presentation and conventional programming paradigm such as control statements, looping, iteration and function formation are emphasized. The second day is deeper appreciation of matlab capabilities. Areas covered are crucial engineering statistics, numerical treatment techniques, data analysis and post processing. The course is flexible enough that participants may just register for the first day to gain only Matlab skill or just the second day to tune up their analytical prowess. However participants are recommended to atttend the whole course to have a comprehensive Matlab proficiency. Throughout the course hands-on problem solvings will be tutored.
BIODATA
Assoc. Prof. Dr. Meor Zainal Meor Talib
The presenter has more than 10 years of experience in teaching programming techniques and numerical computations. His post graduate studies cover numerical modellings and computations. Programming languages such as C, C++, visual basic, Delphi, Scilab, Matlab, J, Phyton are some of his programming language arsenals that he use for his numerical computations. Matlab however remains the main bulwark of his computation tool. He also write his own numerical solver modules to customize certain numerical solution.
Dr. Masli Irwan Rosli
Senior lecturer at the Department of Chemical and Process Engineering, UKM. He graduated with a Bachelor in Chemical Engineering from UKM in 2002. He then worked as a research officer and continued his studies and received Master of Science from UKM in 2006, before joining the Department of Chemical and Process Engineering, UKM as a lecturer. In 2012, he completed his PhD from the School of Process, Environmental and Material Engineering, University of Leeds, UK. His specialties are in computational fluid dynamics and fuel cell technologies. He teaches Computational in Chemical Engineering and Fundamental of Chemical Engineering for Bachelor in Chemical Engineering and Advanced Process Modelling for Master of Engineering.
DAY I INTRODUCTION TO MATLAB.
| 8:30 – 9:45 | Matlab Environment
Introduction to Matlab programming Help Facilities Basic operation – calculator mode Displaying format Data type – scalar,vector and matrix Array creation Built-in functions Coffee Break |
|
| 10:00 -12:00 | Scripting essentials
Function formation – function file, inline, anonymous function Plotting data Interactive input Formated output Saving facilities – files, data Lunch Break |
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| 14:00 -15:30 | Introduction to Matlab programming
Algorithm – sequential approach Flow chart Structured Programming Conditional Statement – if,switch-case Structured Programming Iteration- while and for Modular approach Simple Debugging |
|
| 16:00 – 17:00 | Case Studies and Examples. |
DAY II SOLVING NUMERICAL & SIMPLE STATISTIC WITH MATLAB.
| 8:30 – 9:45 | Introduction to Numerical Techniques
Roots – single and set of equations Simple Statistics Curve fitting Regression Coffee Break |
|
| 10:00 -12:00 | Interpolation
Integration Initial value problem – single of Multiple linear Ode Solution Lunch Break |
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| 14:00 -15:30 | Post processing techniques.
Importing data Basic ploting commands Labeling and Annotating plots Types of plots |
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| 16:00 – 17:00 | Case Studies and Examples. |