Current and Future Challenges for Mathematics and Statistics Software Applications
Submission Deadline: Dec. 30, 2015
Lead Guest Editor
Department of Mathematics and Informatics, University of Elbasan,
Faculty of Science and Technology, Auckland University of Technology,
Auckland, New Zealand
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=149). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
Computer soft-wares affect our lives critically and they have become imperative parts of our lives. Software is now an interaction of the programs, data-structure and documentation and is a complex structure requiring development, testing and maintaining.
The basic challenges for software application deserving a serious attention in the immediate future include:
1. Use for problem solving and critical investigations. 2. Use for research work in different fields of science. 3. Develop a formal methodology to construct correct and portable parallel programs, adopt openness to radical and innovative alternatives 4. Design a programming language and procedures unifying intuitive model of computation, measuring, plotting and graphing. 5. Devise and construct software tools that facilitate the computations in mathematics, statistics, finance and busyness etc. 6. Limitations and disadvantages of the computer programs
Topics of interest
1. Different programming software and their applications: MySQL, Eview, R, SAS, GeoGebra, etc. 2. Statistics’ software and statistical methods to plan production and improve the quality in economics. 3. Application of software to analyze the data and test hypothesis in Biology, Economics, Mathematics, Business, Communication and Information Technology etc. 4. Educational software for teaching academic skills. 5. Disadvantages and limitations of software 6. Graphing calculators and computer algebra systems used to create student-centred environments. 7. Build on knowledge to design and develop classroom activities for deep learning and developing new mathematical concepts. 8. Extension of the functions’ set represented algebraically, numerically and graphically. 9. Use of graphing calculators to change the classroom environment for group work, investigation and exploration. 10. Visualization and animation of mathematical concepts and objects. 11. Exploration of real problems from different fields of scientific research.