The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

Dark matter comprises most of the matter in the universe, yet physicists are unsure of its nature. A significant effort is devoted in contemporary research to attempts to understand dark matter, making it a both captivating and relevant area of astrophysics to discuss in a classroom setting. What is more, the physics behind these experiments is…

Higher education is enduring a transition across the world. This transition leads to the introduction of technology into the education system and provides opportunities to pursue a degree through online participation. According to Bramble and Panda, globalization plays a vital role in recognizing the necessity of providing online learning…

The present research examines the nature of the different processes that have been proposed to underlie semantic priming. Specifically, it has been argued that priming arises as a result of "automatic target activation" and/or the use of strategies like prospective "expectancy generation" and "retrospective semantic…

As lifelong learning grows in popularity, few comprehensive pictures of the phenomenon have emerged. The "Routledge International Handbook of Lifelong Learning" provides a disciplined and complete overview of lifelong learning internationally. The theoretical structure puts the learner at the centre and the book emanates from there,…