1. WHO SHOULD ATTEND This program is for you if you are engineer, statistician, scientist and researcher, post-graduate student in commercial or government institutions who is looking for a powerful and flexible tool for your time series data analysis. Managers and decision maker who is considering to deploy a cost effective software into your organization as alternative to SAS, SPSS, Minitab, Statistica, Stata, JMP, S-plus and other commercial statistical software. Our previous participants who has directly benefit from the R series workshop are from the field of agriculture, biology, education, ecology, economy, engineering, environmental, food technology, financial, manufacturing, medical, natural resources and semiconductor who has the need for time series data analysis but with minimum statistics, computer skills and no prior knowledge in R. 2. WORKSHOP OBJECTIVES This workshop is a customized program that provides researchers practical approach and hands-on experience on using the time series analysis in the R environment. The theory and mathematic of time series will be minimum to allow more participants to follow this program. Upon completion, the participant will have a clear understand on how to prepare the data for time series analysis in R, decompose the data into trend and seasonal cycle, and predict the possible outcome based on the historical time series data. Participant to this workshop only require basic statistical understanding, basic computing skills and no prior knowledge in R and Time Series Analysis.

1. 3-days workshop on
Introduction to
Time Series with R
for beginners with hands-on
Organized by:
WHO SHOULD ATTEND
This program is for you if you are engineer, statistician, scientist and researcher, post-graduate student in commercial or
government institutions who is looking for a powerful and flexible tool for your time series data analysis. Managers and
decision maker who is considering to deploy a cost effective software into your organization as alternative to SAS, SPSS,
Minitab, Statistica, Stata, JMP, S-plus and other commercial statistical software.
Our previous participants who has directly benefit from the R series workshop are from the field of agriculture, biology,
education, ecology, economy, engineering, environmental, food technology, financial, manufacturing, medical, natural
resources and semiconductor who has the need for time series data analysis but with minimum statistics, computer skills and
no prior knowledge in R.
Date : 16-18 Jun 2014 (Mon-Wed)
Venue : Eastin Hotel, 1 Solok Bayan Indah, Queensbay
11900 Bayan Lepas, Penang, Malaysia (www.eastin.com)
Time : 9am – 5pm
Time series analysis with one of the most powerful and comprehensive
statistical software and yet cost nothing to your organization
5th
Year
Most Popular
R Workshop in
Malaysia
Included Analysis
Examples
Autocorrelation and
correlogram, decomposing
time series, exponential
smoothing, ARIMA models,
models identification,
estimation and validation

2. INTRODUCTION
In most branches of science, engineering, and commerce, there are many
recording of measurement sequentially in time. For example the Bank Negara
record interest rates and exchange rates daily, the Jabatan Perangkaan
compute the country’s GDP on a yearly basis, The Stars newspapers publish
yesterday’s noon temperatures for capital cities from around the region and
the Meteorological offices record rainfall at many different sites and all these
will result to the time series data.
The time series analysis is an important exercise to understand the past and
to predict the future, enabling managers or policy makers to make important
decision. The time series method are used in everyday operational decision
such as the airlines’ decision to expand its fleet relied on the time series
analysis of airlines passenger trends, the gas supplier have to place orders for
gas from the offshore fields few days ahead of supply and simulate the daily
rainfall with time series model to investigate the long-term environmental
effects on the proposed water management policies
Today, the R is one of the fastest growing statistical computing software and
is a direct competitor to SAS, SPSS, Minitab, Stat and others established
statistical software. The SPSS founder, who also started a R software
company, Dr Norman Nie, during one of the interview, simply put that R as
one the most powerful statistical computing language on the planet and there
is no statistical equation that cannot be calculated in R. Furthermore, the R is
an Open Source initiative and everyone is free to use the software. The R has
huge support from the industry and research communities, and in fact it has
earned the reputation to have the latest and most sophisticated statistical
algorithm that is developed by professor of statistics and mathematics. For
this fact, the time series analysis was well tested and used in the R
environment and thus also a good learning tool for those who need to learn
statistics and time series analysis.
WORKSHOP OBJECTIVES
This workshop is a customized program that provides researchers practical
approach and hands-on experience on using the time series analysis in the R
environment. The theory and mathematic of time series will be minimum to
allow more participants to follow this program. Upon completion, the
participant will have a clear understand on how to prepare the data for time
series analysis in R, decompose the data into trend and seasonal cycle, and
predict the possible outcome based on the historical time series data.
Participant to this workshop only require basic statistical understanding, basic
computing skills and no prior knowledge in R and time series analysis.
PAST PARTICIPANTS
The participants who had attend our R series
workshops were Paediatrician, Civil
Engineer, Factory Manager, Process
Engineer, Product Engineer, Yield Engineer,
Quality Engineer, R&D Engineer, Principle
Engineer, Structural and Material Engineer,
Actuaries, Biologist, Biotechnologist,
Counsellor, Economist, Educationist,
Environmentalist, Food Scientist, Forestry
Researcher, Genetics Scientist, Logistic
Planner, Linguistic, Mathematician, Road
Safety Researcher, Software Developer,
Statistician, Plant Breeder and postgraduate
students.
These participants were from Canberra
Hospital of Australia, Intel, AMD, Agilent,
Spansion, Seagate, IRE-Tex, Fairchild,
Osram, Ansell, WorldFish, Sime Darby,
Pelabuhan Tanjung Pelepas, KL Kepong,
Pantai Hospital, Insitutue for Medical
Research (IMR), Advanced Medical and
Dental Institute (AMDI), Pertubuhan
Keselamatan Sosial (PERKESO), Tropical
Peat Research Laboratory, Institut
Penyelidikan dan Kemajuan Pertanian
Malaysia (MARDI), Institute of Tropical
Forestry and Forest Products (INTROP),
Centre of Drug Research, Universiti Sains
Malaysia, Universiti Putra Malaysia,
Universiti Kebangsaan Malaysia, Universiti
Utara Malaysia, Universiti Teknologi Mara,
Universiti Teknologi Petronas, Universiti
Malaysia Terengganu, Universiti Sultan
Zainal Abidin, Universiti Malaysia Sabah,
Universiti Tun Hussein On Malaysia,
Universiti Kuala Lumpur Malaysian Spanish
Institute, Universiti Tun Abdul Razak, Kolej
Han Chiang, The University of Nottingham
Malaysia, University of Bristol, Texas
Technology University and University of
Ioannina of Greece.
“There are very few things
that SAS or SPSS will do that
R cannot, while R can do a
wide range of things that the
others cannot”
Robert Muenchen, Author, R for SAS and
SPSS Users

3. HANDS-ON WORKSHOP
This program emphasis on hands-on practices and required the participants to
have their own laptop computer to fully take advantage of the learning. All the
necessary software will be provided during the training and the course
facilitator will guide the participant to install and configure the system prior and
or on the workshop days.
The participant laptop will need to meet the minimum requirement as below:
• Windows XP/SP3, Vista/SP2 ,Win 7 SP1 or Win 8
• Min 1GB of RAM
• Min 500MB free space hard disk
• Wireless network connection capable
• 1 USB free slot and 1GB of thumb drive
Please contact the course facilitator if any of the participants’ system does not
meet any one of above requirements.
WORKSHOP SCHEDULE
The R workshop series is held three times per calendar year, typically on Mar,
Jun and Nov. The current scheduled workshop date is printed in the front
page of this brochure and to inquire future workshop date please sends us an
email. The workshop is very popular and normally over-booked; please make
your registration earlier using the form at the end of this brochure and take
advantage of the early bird discount.
IN-HOUSE WORKSHOP
If you have a team of people who need to attend this workshop, it is more cost
effective to have this program customized to your organization at your
location. Saving can be significant. Please contact us for more detail.
R WORKSHOP SERIES
If you also require training on R such as below, please contact us for detail
and tentative schedule.
 Statistical Data Analysis with R.
 Introduction to Forecasting Methods with R.
 Support Vector Machine with R.
 Programming in R.
ENQUIRIES
Registration and Others Technical Details
KHAIROL ANUAR HAZIR MOHAMMED
USAINS Holding Sdn Bhd
+60 (4) 653-4372/+60(12) 286-9048
khairol@usainsgroup.com
khairol_usains@yahoo.com
CW CHANG
AHP Products
+60 (12) 429-3381
cwchang@ahp-products.com
PROGRAM SCHEDULE
Day 1: Time Series and R
Breakfast
9:00am : Introduction to R
Tea Break
Getting Start with R
12:00pm : Lunch
1:00pm : Time Series Analysis
Tea Break
R Native and GUI Mode
5:00pm : End
Day 2: Seasonal and Trend
Breakfast
9:00am : Smoothing Methods
Tea Break
Time Series Decomposition
12:00pm : Lunch
1:00pm : Holt-Winters Trend-Seasonal
Tea Break
Time Series Data Import
5:00pm : End
Day 3: ARIMA
Breakfast
9:00am : ARIMA Modelling
Tea Break
Auto and Partial Correlation
12:00pm : Lunch
1:00pm : Model Identification
Tea Break
ARIMA Forecasting
5:00pm : End

4. REGISTRATION FORM
Please identify the workshop to register. Complete the rest of the registration
below, fax or send this form to:
Khairol Anuar
USAINS Holding Sdn. Bhd., Ground Floor, Kompleks EUREKA, Universiti Sains Malaysia, 11800 USM PENANG.
Fax : 04-657 2210, Email : khairol@usainsgroup.com or khairol_usains@yahoo.com
Workshop Name Date
 Introduction to Time Series with R 16-18 Jun 2014
Participants
1 Name:
Job Title:
Email: Mobile No:
2 Name:
Job Title:
Email: Mobile No:
3 Name:
Job Title:
Email: Mobile No:
Primary Contact
Name:
Company:
Address:
Postcode:
Tel No: Fax No:
Email: Mobile No:
Payment Details
The workshop fee is inclusive of course notes, certificate of attendance, lunch
and refreshment.
 Normal RM1,985 per participant.
 Early Bird Discount 10%, payment 8 weeks before workshop date.
 Group
Discount
Discount 20%, min 3 participants from same organization, payment 8 weeks
before workshop date.
 Students Discount 20%, payment 8 weeks before workshop date.
Mode of Payment Number Bank Total (RM)
 Crossed Cheque
 Bank Draft
 Money Order
 LO/PO
 Payment must be made payable to: “USAINS HOLDING SDN. BHD.”
 Bank Transfer. Please fax the bank-in slip, include your name and details in the slip.
Payee Bank:
Detail:
Bank Name:
Account No:
USAINS Holding Sdn. Bhd.
Introduction to Time Series with R (2014)
CIMB Bank Berhad (USM Branch), Universiti Sains Malaysia, 11800 Penang.
0709-0006708-05-7
A Local Order (LO) or Purchase Order (PO) must be presented before the event.
The organizer reserves the right to refrain a registered participant from taking part in the event if no proof of
payment can be presented. This only applies to registered participants who have NOT paid the registration fee
PRIOR to the event date.
Cancellation and or Substitution
All cancelation must be in writing by fax or email at least 10 working days before the event date. A full refund
less administration fee of RM500.00 will be given. No refund will be made for late cancelation. However,
substitute participants are welcomed at no extra charge provided written notice of at least 5 working days before
the event is given to the organizer.
Discount
Participant is not entitled for early bird discount after the group discount or student discount. No group discount
for student.
Disclaimer
The course facilitator reserved the right to alter the workshop contents or schedule as it deem fit and no further
notice will be given. The organizer also reserves the right to reschedule or cancel any part of its published
workshop or venue due to unforeseen circumstances and will not accept liability for costs incurred by
participants or their organizations for the cancellation of travel arrangements and/or accommodation
reservations as a result of the programme being cancelled or postponed. Advance notice will be given if there
are such changes or cancellation.
COURSE FACILITATOR
CW CHANG is a technical consultant from
AHP Products that specialized in providing
statistically computing software for data
visualization, product reliability analysis,
product test post-analysis, consumer profile
data mining, classification and trend
forecasting. The company clients including
Osram, Agilent, Avago, Malaysian Palm Oil
Board, Institute for Medical Research,
WorldFish and others MNC, commercial and
institute in the field of semiconductor,
engineering, agriculture, medical research
and natural resources. CW Chang also
collaborates with the commercial unit of the
University Science of Malaysia (USM) and
the centre of excellent of the Northern
Corridor Implementation Authority (NCIA) to
conducted public courses on statistical
analysis using open source software,
reliability engineering technique for product
quality improvement and microscopic surface
analysis techniques. The course participants
were from MNC, commercial, research
institution and universities in the field of
agriecological, bioscience, civil engineering,
drug research, ecology, econometrics,
education, environmental, forestry,
mathematical sciences, medical and health,
oil and gas, product packaging,
semiconductor, software development,
structural and material engineering and
telecommunication. He has close to 20 years
of industry experiences include as the senior
product manager for a leading online
company in South Asia, and Head of IT for a
largest MNC opto-electronic manufacturer.
He has a long and distinctive career with Intel
Corporation where he managed a global
disperse team that responsible for the
mission critical system support for Intel’s
worldwide manufacturing facilities in the
United States, Ireland, Costa Rica, China,
Philippines and Malaysia. He was a
Commonwealth Scholar with a postgraduate
degree in Artificial Intelligence from the
University of Sussex. He obtained his
bachelor degree from University Technology
of Malaysia with His Majesty Yang di-Pertuan
Agong of Malaysia’s Royal Award, recipient
of the Tunku Abdul Rahman Foundation’s
Gold Medal Award and a Malaysian
Government scholar.
“R is the most powerful
statistical computing
language on the planet; there
is no statistical equation that
cannot be calculated in R.”
Norman Nie, Prof Emeritus of Statistics,
University of Chicago, Founder and former
CEO of SPSS, and founder of Revolution R