Computational software

Below are the softwares that we use for our services, seminars and training workshops



Matlab is a technical computing language that performs high level mathematical computing and programming meeting diverse mathematical needs of its users. Our expert trainers provide a comprehensive introduction to the Matlab technical computing environment.

The themes of mathematical computing, visualization, modeling and programming are thoroughly explored both through our training and the learning materials posted on this website. We do not compromise on our commitment to equipping our participants with the necessary and much desired computing skills that will make them competitive in this edge of technological advancement and the ever changing science dynamics.


Maple is a high level programming language that performs symbolic calculations, as well as numerical computations - it is actually the equivalent Matlab (and Mathematica) software and is being embraced by companies to maintain a competitive edge in mathematical modeling and simulation.

The use of Maple as a mathematical computing software is on the rapid increase especially in the areas with increased needs in mathematical modeling, analysis of systems, simulations and biomedical engineering. Our commitment in providing quality training in this software remains un-compromised.



The Stata is a powerful and yet easy-to-use statistical package that performs data management, manipulation, analysis, graphics, modeling and forecasting. Its use for statistical analysis tasks is rapidly growing due to its friendly user interface and its many capabilities in handling complex and advanced statistics tasks. This is a complete and robust but easy to use general-purpose software package that provides everything you need for data management, manipulation, analysis and graphing.


R is probably one of the mostly used statistical software worldwide for basic and advanced statistical analysis and modeling. Our able team are there to guarantee clients of quality and expertise in training and other services that concerns this software.

Our training focuses on the analysis and interpretation of statistical estimates and the assumptions underlying the models that give rise to such analysis results. The training is facilitated by competent trainers and is geared for researchers and practitioners in all fields that deal with research designs and analysis.



Python helps scientists solve their biological problems by getting them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the our workshops focuse on the easy-to-use, yet powerful, Python computer language. By incorporating examples in biology as well as code fragments throughout, the facilitators place a special emphasis on practice, encouraging participants to experiment with the code.

R for Bioinformatics

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. CEMRE explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems.

Drawing on the facilitators' first-hand experiences as an expert in R, the training will usually begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions.

Modelling in Mathematical Sciences