Quantitative Methods for Biology

Quantitative Methods for Biology takes a unique approach for beginners, providing an inside look at a course and its students. You’ll be studying with other students who are also learning to code. This course will help expert programmers learn the MATLAB they need without being slowed down by introductory concepts they already know. We’ll help you translate your knowledge of Python, Javascript, r, or another language to MATLAB, whether you’re already familiar with them.
The use of mathematical, statistical, or computational techniques to study life and living organisms is referred to as quantitative biology. The creation of predictive models based on fundamental principles governing living systems is the central theme and goal of quantitative biology. Do you want to learn how to programme as a biologist, health worker, or medical student? Are you a programmer who wants to learn more about the medical field? Do you want to learn how to use MATLAB?

KEY FEATURE

Quantitative abilities are among the most basic and fundamental tools used by professional ecologists and biologists.

This unit provides a solid foundation in appropriate methods for collecting and analysing common types of data in biology and ecology at the intermediate level.

It emphasises hands-on, practical experience with widely used statistical software and addresses common problems encountered when dealing with biological data.

The unit covers basic sampling and experimental design, data analysis using standard techniques, and multivariate techniques for pattern exploration and hypothesis testing.

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Key Topics
    All students will have free access to a copy of MATLAB that they can use throughout the course. There will also be opportunities to incorporate code directly into assignments, allowing you to put your skills to the test while working on real-world projects. Furthermore, this course employs an adaptive approach to its assignments. The more skilled you are, the fewer problems you will need to solve to complete the course. If you’re having trouble, we’ll make sure you get the practise you need to succeed.

    Quantitative Methods for Biology offers the following modules:

    • Introduction to MATLAB
    • Arrays
    • Images
    • Loops
    • Functions and Scripts
    • Data Collection and Analysis
    • Arrays, pt 2
    • Special Topics
    • Yeast Showdown
    • Pro Tips
    • References and Tools

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    • Cell biology relies heavily on quantitative research. It is used to take precise measurements in order to test a hypothesis and compare experimental data to predictions generated by theoretical models.
    • Using quantitative research in biology has frequently revealed counterintuitive phenomena and insights while also leading to new research directions. This is especially important today, as experiments are becoming increasingly expensive and generating massive amounts of data.
    • As our world faces increasingly complex environmental issues, quantitative techniques can help to reduce the many uncertainties by providing a reliable representation of reality, allowing us to move forward toward potential solutions.
    • Quantitative approaches to biology are becoming more important in comprehending biological phenomena. The tremendous advances in systems biology have demonstrated that computational and mathematical approaches can yield insights that complement the more traditional approach.
    • Scientists can use quantitative tools to determine the cause and distribution of a disease, as well as how it affects a person’s well-being.

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