We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

Data visualization is the term used to describe the methods and technologies used to allow the exploration and communication of quantitative information graphically. Data visualization is a rapidly growing and evolving discipline, and visualizations are widely used to cover politics. Yet, while popular and scholarly publications widely use…

The purpose of this research was to determine what types of reading strategies prospective English Teachers used to accomplish in their reading assignments and activities. The study was conducted at a state-run University, English Language Teaching Department in Turkey. The participants were 130 prospective English Teachers majoring English…

Academic libraries have traditionally collected reference statistics using hash marks on paper. Although efficient and simple, this method is not an effective way to capture the complexity of reference transactions. Several electronic tools are now available to assist libraries with collecting often elusive reference data--among them homegrown…

The University of Minnesota-Duluth is the second largest campus in the University of Minnesota system. The UMD library, which serves more than 11,000 students and 500 faculty members, is primarily an undergraduate library. The reference team consists of eight librarians, including author Sunshine Carter, reference and electronics resources…

Using Excel, an interactive program is designed to simulate the Solow and endogenous growth models to facilitate the understanding of these models for students of growth theory and macroeconomics.

The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an…