The importance of understanding web frameworks for statisticians

As the web and computational technology carry on growing and huge data are yielded on the web, these technologies are turn into important for a statisticians' work. It is worthy that statistician always gain knowledge of new aspects of computation. A lack of computational reasoning skills gets it hard for statisticians to work in a team. If statistician do not take up this computations challenge more coherently, statistics will be marginalized and take away related at a time when its data science reputation grow up significantly. In addition, people rely on the information on web, for whatever their reason.Since web growth, several major transforms have evolved, from the most rudimentary concept until a new model of interaction between humans and machines. Simple interactivity denotes that users can enter data to the application on a web page, then click on button, and then appears a new web page with the results of the computations. This application has been known as web application with most are built with the utility of web frameworks which is a package of programming tasks that offering services through the Internet. Therefore, this paper gives short overview the importance of Flask web frameworks to assist the lack of computational skill of statistician over web application in the simplest possible way and how web framework is used to create a web page with application form, run the application to compute statistical calculation which has been deployed in local server, and produce a web page with the solutions

Pengembangan Pembelajaran Blended Learning Berbasis Model Flipped Learning untuk Meningkatkan 6C For HOTS Mahasiswa PGSD UMSU

Penelitian pengembangan ini bertujuan untuk meningkatkan 6C for HOTS mahasiswa melalui pengembangan model Blended Learning berbasis Flipped Learning. Adapun 6C yang dimaksud adalah critical thinking, creative skill, communication skill, collaborative skill, computation skill dan compassion. Untuk proporsi model Blended Learning berbasis Flipped Learning dilakukan sebesar 10% tatap muka dan 90% melalui daring. Metode dalam penelitian menggunakan metode ADDIE. Langkah langkah ADDIE adalah analisis (analyze), perancangan (design), pengembangan (development), implementasi (implementation), dan evaluasi (evaluation). Berdasarkan hasil perhitungan dan pembahasan dapat disimpulkan bahwa model pembelajaran Blended Learning berbasis Flipped Learning sangat efektif dalam meningkatkan 6C for HOTS mahasiswa. Hal ini dapat dilihat dari hasil pehitungan keterampilan berpikir kritis (critical thinking) mahasiswa dari rerata 36,67 menjadi 88,28. Pada keterampilan berpikir kreatif (creative skill) terjadi peningkatan dari rerata 60,77 mrnjadi 87,18. Pada ketermapilan communication skill jugaterdapat peningkatan rerata dari 31,28 menjadi 67,69. Namun karena hasil rerata belum maksimal, diadakan siklus kedua pada keterampilan ini dan menghasilkan rerata 87,38. Pada keterampilan collaborative skill, terjadi peningkatan dari 50,51 menjadi 87,54. Pada keterampilan komputasi (computational skill) terdapat peningkatan rerata yang awal rerata 25,90 menjadi 68,21. Namun karena belum maksimal diadakan siklus kedua dan meningkat menjadi 90,64. Pada keterampilan compassion, terjadi peningkatan dai 36,28 menjadi 87,56

The Impact of SRA-Programming on Computational Thinking in a Visual Oriented Programming Environment

Visual programming environments are popular instruments in teaching Computational Thinking (CT) in schools today. Applying Sense-Reason-Act (SRA) programming can influence the development of computational thinking when forcing pupils to anticipate the unforeseen in their computer programs. SRA-programming originates from the programming of tangible robots, but can also be of equal value in visual programming with on-screen output. The underlying rationale is that programming in a visual programming environment using SRA leads to more understanding of the computational concepts addressed, resulting in a higher level of computational skill compared to visual programming without the application of SRA. Furthermore, it has been hypothesised that if pupils in a visual programming environment can anticipate unforeseen events and solve programming tasks by applying SRA, they will be better able to solve complex computational thinking tasks. To establish if characteristic differences in the development of computational thinking can be measured when SRA-programming is applied in a visual programming environment with an on-screen output, we assessed the applicability of SRA-programming with visual output as the main component of the execution of developed code. This research uses a pre-test post-test design that reveals significant differences in the development of computational thinking in two treatment conditions. To assess CT, the Computational Thinking Test (CTt) was used. Results show that when using SRA-programming in a visual programming environment it leads to an increased understanding of complex computational concepts, which results in a significant increase in the development of computational thinking.

Visualization and Experiential Learning of Mathematics for Data Analytics

The information and communications technology (ICT) industry workforce is now required to deal with ’Big Data’, and there is a need to fill the computational skill shortage in data analytics. The integrated skills of combining computer and mathematics capabilities is much sought after by every industry embarking on digital transformation. Studies conducted internationally and by the Australian Industry Group show the requirements for improving computational skills in the workplace. This research takes a positive step to address this issue by introducing visualization and experiential learning in the ICT curriculum in order to uplift mathematics skills required for data analytics. We present the use of such innovative methods adopted in a higher education setting. The results and positive impact achieved through this study are presented.

eUTOPIA: Solution for omics data preprocessing and analysis

Application of microarrays in omics technologies enables quantification of many biomolecules simultaneously. It is widely applied to observe the positive or negative effect on biomolecule activity in perturbed versus the steady state by quantitative comparison. Community resources, such as Bioconductor and CRAN, host tools based on R that have become standard for high-throughput analytics. However, there is a need for intuitive and easy-to-use platform to process omics data, visualize, and interpret results, which is computational skill neutral. We propose an integrated software solution, eUTOPIA, that implements a set of essential processing steps as a guided workflow presented to the user as an R Shiny application. eUTOPIA allows researchers to perform preprocessing and analysis of microarray data via a simple and intuitive graphical interface while using state of the art methods. eUTOPIA is free for academic use and can be obtained from the GitHub repository https://github.com/Greco-Lab/eUTOPIA.

Realisation of Adaptive Hysteresis Current Controller for Performance Improvement of Vector Control Based IPMSM Drive System

The torque ripple, current fluctuation and variable switching frequency of conventional hysteresis current controller (CHCC) under different loading condition and motion variation is inevitable, which demands effective implementation of the existing current controller by which it will be possible to get rid of these limitations. This paper presents enhancement in performance of a vector controlled based Interior Permanent Magnet Synchronous Motor (IPMSM) drive system by using an adaptive hysteresis current controller (AHCC). This controller minimizes torque ripple, current error and is capable of providing nearly constant switching frequency by modifying its bandwidth according to the changes in the system parameter or when the system is subjected to any kind of disturbances and load variation. Initially the study is carried out in MATLAB-Simulink environment and then the test result is experimentally validated through hardware implementation with the help of DSP TMS320F2812 which provides a complete digital control system with high effectiveness and fast computational skill.