Communication Skills for the Biosciences looks first at essential communication skills useful for the sciences. It examines recording and managing information and ethics in communication. It provides an introduction to the scientific literature available, how to conduct effective literature searches, and reviewing the literature. The text shows the reader how to write a literature review, a research proposal, a research paper, and an abstract. It also explains in detail how to prepare tables and figures, as this is one of the essential skills required for writing about biosciences. The text looks at beyond degree level and gives some tips on how to develop a Masters dissertation or a PhD thesis, and how to deliver an effective presentation or introduce a research poster. The last chapter of the book talks about networking.
Book
Martin B Reed
Core Maths for the Biosciences consists of two parts. Part 1 looks atconsiders arithmetic, algebra, and functions. Here, chapters cover precision and accuracy, data tables, graphs, molarity and dilutions, variables, functions, equations, and linear functions. They also look at quadratic and polynomial functions, fitting curves, periodic functions, and exponential and logarithmic functions. Part 2 looks atfocusses on calculus and differential equations. It Chapters examines instantaneous rate-of-change, the rules of differentiation, applications of differentiation, techniques of integration, and the definite integral.
Book
Andrew D. Blann
Data Handling starts off with an analysis of information in the biomedical sciences. It then considers handling quantities which encompasses mass, volume, and concentration. It moves on to obtaining and verifying data. Next, it looks at presenting data in graphic form. Another chapter considers quality, audit, and good laboratory practice. The next three chapters are about research, setting the scene, the analysis of modest data sets, and large data sets. Finally, the text ends with an examination of communication methods.
Book
Rosalind K. Humphreys and Graeme D. Ruxton
Presenting Scientific Data with R provides a guide to data presentation using R. It offers valuable and applicable advice on how to choose the most appropriate type of graph for different types of data, and guides readers from the basics of plotting clear figures to producing polished and effective visuals, illustrating the core concepts and features of excellent graphing. This text uses simple biology-based example data sets to take readers from the essential aspects of basic plots to more advanced graphing techniques and details. The text starts off with an introduction. It then considers pie charts and tables for qualitative data. Next it looks at bar charts. There follow chapters on presenting single-sample data (i.e. histograms and boxplots) and comparing multiple samples. There is also a chapter that covers scatterplots for quantitative data. Finally, the text finishes with a couple of chapters on day-to-day customizing everything using R and specialist customizing everything using R.
Book
Stuart Johnson and Jon Scott
Study and Communication Skills for the Biosciences starts off by asking: why are study and communication skills important? It looks at using feedback, making the most of lectures, and working with different information sources. It wards against plagiarism and talks about how to avoid it. It looks at writing essays and choosing an appropriate writing style. Practical report writing is also covered. The text examines the different skills needed for working in groups, tutorials, and presenting. It ends with a detailed analysis of how to get the most out of revision and exams, and how to become employable.
