In the insurance industry, spreadsheets have emerged as an invaluable tool to for product pricing, because it is relatively straightforward to create and maintain complex pricing models using Excel®. In fact, Excel is often preferred to “hard-code” whenever there are frequent changes to the calculations and business logic which under-pin the pricing of an insurance product. However, problems ar...

Pelatihan yang diberikan bagi guru-guru PAUD Kecamatan Tambun Selatan bertujuan untuk meningkatkan kemampuan tersebut dalam penggunaan Microsoft Office khususnya Excel. Terdapat berbagai macam kendala dihadapi oleh di antara lain program aplikasi manajemen DAPODIK, spreadsheet yaitu Excel 2007 dan pemanfaatan internet serta website. Dalam penerapannya aplikasi-aplikasi dapat membantu membuat la...

SUMMARY GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial a...

In this paper, our main objective is to present the use of Microsoft Software Excel 2007/2003 for teaching college and university level curriculum in science and engineering. In particular, we discuss two interesting and fascinating examples of interactive applications of Microsoft Excel targeted for undergraduate students in (1) computational physics and physics education, and in (2) computer ...

Data clustering refers to the method of grouping data into different groups depending on their characteristics. This grouping brings an order in the data and hence further processing on this data is made easier. This paper explains the clustering process using the simplest of clustering algorithms the K-Means. The novelty of the paper comes from the fact that it shows a way to perform clusterin...

Data clustering refers to the method of grouping data into different groups depending on their characteristics. This grouping brings an order in the data and hence further processing on this data is made easier. This paper explains the clustering process using the simplest of clustering algorithms the K-Means. The novelty of the paper comes from the fact that it shows a way to perform clusterin...