R and Data Manipulation: Big Data Application, 5-6 Nov 2017, Adya Hotel, Langkawi

Speaker:  Matthias Templ, PhD

WHAT IS R? open source; powerful and comprehensive platform for visualizing data, understanding and evaluating statistical models; programming language and software environment for statistical computing and graphics; ready to use for applications in data science, data analytics and for big data sets; participants expected to be able to use efficient R code and use R packages to perform data analytics after the workshop

WHO SHOULD ATTEND? Lecturers, Researchers, Engineers, Students, Industry Professionals and Scientists of any discipline who wish to explore R and Big Data.



COURSE OUTLINE 1. vectorized computations 2. efficient and fast data manipulation with dplyr (and optionally data.table) 3. how to make your computations faster. A very basic introduction to profiling, Rcpp and parallel computing 4. some comments and issues when working with big data sets 5. data visualization using ggplot2


For more information, please follow this link -> R and Data Manipulation: Big Data Application




Modelling Communicable Disease Dynamics and Control, 5-6 Nov 2017, Adya Hotel, Langkawi

Speakers: Professor Nicolaas J D Nagelkerke, Associate Prof. Dr. Sanjay Rampal a/l Lekhraj Rampal, Dr Nurhuda Ismail


ABOUT. This workshop is an introductory training to address the importance of mathematical modelling as an integrated field of infectious disease epidemiology and mathematical epidemiology as well as its applications to related diseases.


To introduce infectious disease epidemiology and its relation to the applications of mathematical modeling; To introduce the mathematical approach to the development of disease models; To discuss the latest development in the application of disease modeling with case studies and appraisal of literature.



Introduction to Communicable Diseases & Epidemiology; Basic Concepts in Disease Modelling; Introduction to Mathematical Modelling Software; Understanding Research Question: Potential Impact of Isoniazid as Early Therapy for Tuberculosis Prevention in Malaysia; Model Parameters and Optimization; Developing the Model Frame; Preparation for Poster Presentation; Final Perspectives on Modelling



Highly recommended to public health and pharmaceutical-industry professionals, policy makers, program managers, infectious disease researchers; medical Statisticians; individual interested in infectious disease; mathematicians who wish to learn key biological concepts and how they are translated into modelling


For more information, please follow this link -> Modelling Communicable Disease Dynamics and Controls




Introduction to Social Network Analysis Using UCINET and Netdraw, 5-6 Nov 2017, PARK AVENUE Hotel, Sungai Petani


Speakers: Professor Martin Everett


What is Social Network Analysis (SNA)? A theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies. Network analytics are useful to a broad range of research enterprises. These fields of study include, but are not limited to anthropology, biology, communication studies, economics, geography, information science, organizational studies, social psychology, sociology, and sociolinguistics.

Course objectives

The course will: 1) Introduce the idea of Social Network Analysis; 2) Explain how to describe and visualize networks using specialist software (UCINET); 3) Explain key concepts of Social Network Analysis (e.g. Cohesion, Brokerage);4) Provide hands-on training to use software to investigate social network structure.


For more information, please follow this link -> Introduction to Social Network Analysis (SNA) using UCINET and Netdraw