Workshops/ Training/Bootcamps organized / co-organized by the CMS research center are listed below.

Image result for r software  


Date:  5 & 6 September 2019
Time:  8.30 am  - 5.30 pm
Venue: UTAR (KB block, Sg. Long Campus)
Fees:  RM 500 only

“Reserve your SPOT NOW —Spaces are limited !!!”

The   Image result for r software  Language 

provides a rich environment for working with data, especially for statistical modelling and graphics.    

Data Mining with 'R' 

is a skill currently required by many different aspects of the industry as now is the era of Big Data and Industrial Revolution 4.0. Due to the demand for data mining skills in this era, the Centre for Mathematical Sciences, Universiti Tunku Abdul Rahman (UTAR) along with Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia (UPM) organized this workshop to train students, industrial players and the public from all levels the Data Mining skills that are needed. 

The goal of this workshop is to present data mining techniques implemented in the R softwareThe scopes covered in this workshop are:

·  Introduction of R programming

· Data exploration and Visualisation

· Regression and classification

· Data clustering

· Time series analysis 

· Big data analysis.


Dr. Wendy Ling and Dr. Lim Fong Peng, both from the Department of Mathematics, Faculty of Science, Universiti Putra Malaysia are the trainers for the Data Mining with 'R' workshop. Their biography are as follows:

Image result for Wendy Ling Shin Yie  

Dr. Wendy Ling Shin Yie
Department of Mathematics, Faculty of Science, Universiti Putra Malaysia    

Dr. Wendy Ling Shin Yie is currently a statistics lecturer at the Department of Mathematics, Faculty of Science, Universiti Putra Malaysia. She has been using R programming software for statistical modelling and multivariate analysis in environmental and financial data.

Image result for Dr Lim Fong Peng  

Dr. Lim Fong Peng
Department of Mathematics, Faculty of Science, Universiti Putra Malaysia    

Dr. Lim Fong Peng is a senior lecturer at the Department of Mathematics, Faculty of Science, Universiti Putra Malaysia. Her research interests includes the applications of statistical models and survival analysis to medical data (such as breast cancer and kinesiology study). Her research interest also covers the analysis of outlier problems with the development of robust techniques for designed experiments.

Registration Details

To register, please follow the following steps:

1) Click on the following link 

2)  Fill up all the details needed.  

3) Be sure to click the SUBMIT button.

For further inquiries, please contact:

Ts. Dr. Teoh Lay Eng 
Chairperson of Centre for Mathematical Sciences 
Universiti Tunku Abdul Rahman 

 Address :  Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, Cheras, 43000 Kajang,

Registration and Payment Details

For payments, please take note of the following details:

1) Only Bank Transfers are allowed.

2) The registration fees can be paid to UTAR Bank Account as stated below:

    Name of Beneficiary:        UNIVERSITI TUNKU ABDUL RAHMAN

    Current Account No.:        3118325015

    Beneficiary Bank:              PUBLIC BANK BERHAD

    Swift Code:                        PBBEMYKL

    Bank Address:                    Bandar Sungai Long Branch

1 & 3, Jalan SL 1/11, Bandar Sungai Long,

43000 Kajang, Selangor Darul Ehsan, Malaysia 

    Payment Reference:            DATA MINING WITH R_ participant’s full name
                                                (e.g. DATA MINING WITH R_TEOH LAY ENG)

3) Please email the payment slip to    

Programme Flow

Day 1 (5 September 2019, Thursday)

8.30am - 9.00am


9.00am - 10.30am

R programming

10.30am - 11.00am

Refreshment/photograph session

11.00am - 1.00pm

Data exploration and visualisation

1.00pm - 2.00pm


2.00pm - 3.30pm

Regression and classification

3.30pm - 4.00pm

Tea break

4.00pm - 5.00pm

Regression and classification (cont’)

Day 2 (6 September 2019, Friday)

9.00am - 10.30am

Data clustering

10.30am - 11.00am


11.00am - 12.30pm

Time series analysis

12.30pm - 2.30pm


2.30pm - 4.30pm

Big data

4.30pm - 5.00pm

Closing/tea break

Map of Universiti Tunku Abdul Rahman (UTAR) 
in Sungai Long