It is very dangerous to look directly at the Sun, even briefly. In this craft activity, you will create a safe viewer so you can look at the Sun without damaging your eyes.

This textbook presents core concepts common to introductory courses. The 15 units cover the traditional areas of intro-to-psychology; ranging from biological aspects of psychology to psychological disorders to social psychology. This book can be modified: feel free to add or remove modules to better suit your specific needs.

This book includes a comprehensive instructor's manual, PowerPoint presentations, a test bank, reading anticipation guides, and adaptive student quizzes.

The Levitating Astronaut activity uses the amazing power of magnets to help children learn about magnetism and gravity.

This lesson is part of Software Carpentry workshops and teach an introduction to plotting and programming using python. This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as its motivating example, and is designed to be used in both Data Carpentry and Software Carpentry workshops. This lesson references JupyterLab, but can be taught using a regular Python interpreter as well. Please note that this lesson uses Python 3 rather than Python 2.

This is a module framework. It can be viewed online or downloaded as a zip file.

As taught Autumn Semester 2010.

This resource presents a number of postgraduate courses that are offered by the Division of Epidemiology and Public Health:

Applied Epidemiology
Public Health
Public Health (International Health)

It covers the work Masters students need to undertake in the modules that, first, cover the development of a protocol and project (A34574) and, secondly, the assessment of the dissertation (A34575).

For Diploma students following the Diploma in Public Health or Diploma in Applied Epidemiology the information covers the development of a protocol and a literature review or short epidemiological study (A34562 or A34580 respectively).

Module Code: A34574 (Protocol for Masters students - 10 credits)

Module Code: A34575 (Dissertation for Masters students - 60 credits)

Module Code: A34562 (Planning a protocol and reviewing literature for Diploma students - 20 credits)

Module Code: A34580 (Protocol and Epidemiological Study for Diploma Students - 20 credits)

Suitable for study at: Postgraduate level

Dr Heather Roberts and Professor Sarah Lewis, Division of Epidemiology and Public Health

Professor Lewis: My expertise is in medical statistics and epidemiology. Areas of research interest include the aetiology of asthma and allergy (effects of early life factors, indoor and outdoor pollution, and diet upon these conditions), tobacco research (impact of environmental tobacco smoke on respiratory disease and in utero effects on birthweight and gestation, design of cessation interventions for specific groups including teenagers, economically disadvantaged, pregnant women), and design and analysis of clinical trials (multi-centre trials of IV antibiotics in CF and NRT in hospital in-patients, cluster randomised trial of pr-active approach to providing smoking cessation support).

Dr Roberts: My interests are wide-ranging but rooted in my interests in inequalities in health and increasing public health capacity and capability in developing countries. I have taught on and now lead, the Masters in Public Health during which time I have supervised many projects based on local and international student interests. I enjoy taking students’ ideas and working them up, through to a complete investigation. The Student Handbook is based on our collective experience of what students need to know to complete successful project work.

This lesson in part of Software Carpentry workshop and teach novice programmers to write modular code and best practices for using R for data analysis. an introduction to R for non-programmers using gapminder data The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. The lesson contains more material than can be taught in a day. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop. A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

Software Carpentry lesson on how to use the shell to navigate the filesystem and write simple loops and scripts. The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including “high-performance computing” supercomputers). These lessons will start you on a path towards using these resources effectively.