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Biostatistics - Biology 260 Fall 2016 Syllabus and Schedule Instructor: Dr. Darren Johnson Office: HSCI 132 Office Hours: Mon, Wed: 1-2pm; or by appointment Email: [email protected]Meeting Times: M, W 8:00-8:50 LH 151; Labs meet in HSCI-073 Prerequisites: Biol 211 & 211L or 207 or MICR 200; Math 111, 113, 119A or 122 Required Items: The Analysis of Biological Data(Textbook by Whitlock & Schluter, 2nd Edition) Biostatistics Lab Manual– Fall 2016 Edition Calculator capable of summing one or two variables. It may simplify things if it also sums their squares, and cross-products simultaneously Recommended software: R Studio– a graphical user interface (GUI) for running R– a programming language designed for running statistical analyses. Both R Studio and R are freely available, work on both PCs and macs and can be downloaded from www.rstudio.comGOALS, OBJECTIVES, AND LEARNING OUTCOMES The course covers basic data analysis techniques and underlying principles necessary to effectively design experiments, to promote effective data collection, and to analyze and interpret biological data, whether these data result from observational or manipulative/experimental studies. The methods are generally applicable to all areas of biology including microbiology, cell biology, genetics, population biology, and environmental biology. The lectures will cover the basic principles of data analysis and statistical decisionmaking while the laboratory covers the practical aspects of how to go about analyzing data. In addition, the labs will reinforce material covered in lecture. The material you learn in this course is an introduction to one of themost commonly used tools in all of biology. A proper understanding of statistics is essential to a successful career as professional biologists or health professionals.