Discovering Science: Science Writing - Online Course.
Science has made gradual progress during last 300 years. It has revolutionized our lives. It is an instrument of great philosophic and social significance. Literature is essentially an interpretation of life. Different literary forms are techniques for its expression. Modern writers, therefore, are deeply influenced by and concerned with scientific and tech. developments. Some western writers.
In order to critically examine the future of English as a global language this essay will discuss the following topics in this literature review. 1. Rise of English World-wide 2. English as the language of Science and Technology 3. English language teaching world-wide The number of English speakers in the world has increased at an astonishing rate throughout the last few centuries.
In higher education, science subjects are typically dominated by male students. This negatively impacts the world of work, as fewer females then go into the science, technology and engineering sectors. This essay will explore the reasons for the lack of gender diversity in science and suggest ways to create equal opportunities in this area.
Science fiction emerged nearly 300 years ago during a time of great advances in science. Since then authors have tried to make sense of their world by imagining what the future will look like.
Why should I study English? Nowdays, English is very important to learn. It’s now recognized as a universal language. So this is the reason why I should learn it. If in the future, I should be working abroad, such as in Great Britain or the United States, I will be able to use this language as a communication tool.
Thanks to globalization, the Allied victories in World War II, and American leadership in science and technology, English has become so successful across the world that it's escaping the.
Artificial Intelligence (AI) is a science and technology for development of intelligent machines, especially intelligent computer programs. John McCarthy believes that AI is associated with a similar task of using computers to understand human intelligence, but not necessarily limited to biologically plausible methods (Negnevitsky 2005). Explaining his definition, John McCarthy points out.
