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Essentials of Data Analytics
Published in Adedeji B. Badiru, Data Analytics, 2020
Interest in data analytics is spreading rapidly all over the world. This fact is the reason that most universities are now starting new degree programs and certificate offerings in data analytics, data science, and data modeling. This book is directly applicable to this evidence. The language of mathematics is universal. Formulas, equations, and quantitative modeling are the basis for data analytics. This handbook is designed as a useful reference for the tools and techniques of data analytics. For the quantitative-inclined readers, the formulas will be appealing. Illustrative examples will increase the comfort level with how each technique is used, thus helping to increase the use of data analytics to improve decision-making in organizations. This handbook can be a ready reference to what is contained in data analytics software tools. Analytics is presently the rage in business, industry, government, and academia. The basis of all operations in any environment rests on a foundation of data analytics. This handbook provides additional incentive to embrace data analytics and mitigate the proverbial risk of “garbage in, garbage out.”
Formal Design Verification
Published in Chris Hobbs, Embedded Software Development for Safety-Critical Systems, 2017
page 17 provides an introduction to the distinction between formal, semi-formal, and informal languages. A design can be expressed informally (for example, in English), semi-formally (for example, as a Petri net), or formally. The formal language is mathematics, although the tools used to create designs expressed in a formal language hide some, if not all, of the mathematics from the user.
Development of symbolic mathematics language literacy perception scale for junior high school students and analysis of literacy perceptions based on certain variables*
Published in International Journal of Mathematical Education in Science and Technology, 2020
In order to investigate whether the use of symbols is significant in mathematics, the significance of symbols in mathematics education was analyzed as an independent variable and it was determined that using symbols was important for the students. Furthermore, statistically significant differences were found between significance assigned to the symbols by the students. In addition, it was found that this independent variable significantly predicted the symbolic mathematical language literacy perception in the multilinear regression analysis. A review of the [40] mathematics curriculum would demonstrate that the communication skills are among the basic skills that the students should acquire. It was stated that the use of the unique language of mathematics using the communication element, clear use of the terms, terminology, signs and symbols in verbal and written expressions were important [40]. Furthermore, Orton and Frobisher [41] emphasized the significance of mathematical terms and symbols in students’ mathematics textbooks and other printed material and reported that students should be able to read and understand these terms and symbols.