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Mathematics for Biotechnology

The Mathematics for Biotechnology resource builds up the statistical concepts required in the field of biotechnology from scratch. New ideas and concepts are accompanied by a discussion whereas the more challenging concepts are given more time and emphasis with numerous worked examples. It includes an e-textbook, algorithmic assessments powered by a test bank with over 500 unique questions, solution manuals, PowerPoint presentations, and real-time performance dashboards to view individual or class performance.

The Mathematics for Biotechnology resource is authored by Sean Saunders of Sheridan College, Thambyrajah Kugathasan of Seneca College, and Irene Lee of Humber College. To request access to the demo course, click here.

Mathematics for Biotechnology
Mathematics for Biotechnology

In this book, you will find that the main concepts and ideas are presented with a health science motivation, right from the start. Throughout each section, examples are provided that relate to the health sciences and reinforce the statistical concept being explained. At the end of each section, there are dozens of exercises to practice and master the concepts, with most or even all of the examples connecting directly to practical scenarios and situations that arise in the health sciences field, whether in nursing, pharmacy, athletic therapy, kinesiology, or in paramedical services.

Unlike many applied statistics textbooks in a particular field that expect prerequisite statistical knowledge and experience, this book builds up from scratch the statistical concepts that are presented and used within. As new ideas and concepts are introduced, a thorough overview and explanation of each is provided, along with a discussion as to why it should matter to students, and examples to clarify the main ideas. The more challenging concepts are given more time and emphasis, with the examples provided being broken down into smaller pieces along the way, so students can see how each individual statistical concept relates to the larger practical scenario being analyzed. When formulas are introduced, they are accompanied by a brief explanation or simple proof to provide a better understanding of not only how to use the formula to solve a problem, but why a particular formula is used in each situation.