The Conference on Scientific Computing and Industrial Modeling is being organized with the aim of strengthening the study and use of mathematical modeling, analysis, and scientific computing tools and methods, and their applications to regional and national development. It will be held at the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. NIMS GHANA will also use the opportunity to relaunch the upcomming Postgraduate program in Scientific Computing and industrial Modeling.
Starts
Ends
Africa/Accra
KNUST
ELearning Centre
University Post office, Private Mail Bag, KNUST
Opportunities:
The conference will provide many opportunities for academicians and professionals from Mathematics, Statistics, the Physical and Industrial Sciences and related fields to interact with members within and beyond their own particular disciplines. Cross-disciplinary submissions with other fields, especially Industrial Mathematics, Applied Statistics, Mathematics in Biology and Medicine, Mathematical Finance, and Algebraic Topology are welcome. The workshop aims to equip participants with knowledge in the rudiments of scientific computing, together with some exposition to contemporary trends in the subject area.

Millennium Development Goal:
The Conference in Scientific Computing and Industrial Modeling will focus on the Mathematics and Computing Science related to advanced computer modeling. There will also be discussions on Trends in Pure, Applied Mathematics and Statistics, the rudiments of Scientific Computing and how knowledge from the study of these subject areas can be applied effectively to support National development as well as the millennium development goal. There will be plenary sessions and contributed talks, together with one poster session. In addition, there will be one conference dinner and one free afternoon for scientific dialogue and excursions (historical and cultural immersion).

Topical Areas:
All Areas of Mathematics, Statistics and the Physical Sciences are invited, especially in Algebra, Algebraic Topology, Applied Mathematics, Computational Mathematics, Mathematics in Biology and Medicine, Discrete Mathematics, Financial Mathematics, Data Visualization, Data Assimilation Methods, Probability and Applied Statistics, Bayesian Statistics, Biostatistics, Environmental Statistics, Epidemiology, and Industrial Statistics.