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A First Look at Coding in Chemistry (Solving Problems Using MATLAB)

List Price: $49.00
SKU:
9781837677337
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  • Product Details

    Author:
    Tamas Bansagi
    Format:
    Paperback
    Pages:
    284
    Publisher:
    RSC (July 25, 2025)
    Imprint:
    Royal Society of Chemistry
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781837677337
    ISBN-10:
    1837677336
    Weight:
    20.8oz
    Dimensions:
    7.44" x 9.7" x 0.63"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251224163308-20251224.xml
    Folder:
    TWO RIVERS
    List Price:
    $49.00
    Country of Origin:
    United Kingdom
    As low as:
    $46.55
    Publisher Identifier:
    P-PER
    Discount Code:
    H
    Pub Discount:
    35
    Case Pack:
    20
  • Overview

    Do you have a project that requires some coding skills and don’t know where to start? Are you fitting a curve to your experimental data and need tools to help? Trying coding to solve maths problems in chemistry for the first time? This book will uncover all the help you need to apply these skills.

    Focusing on developing basic coding skills in chemistry, this concise introductory text takes a problem-based approach and is organized in a workbook style for helping those new to programming. Discussions on coding are viewed from a chemistry perspective and embedded in solving problems familiar to most first-year undergraduate chemistry students. While primarily building programming and broadly-applicable related skills, some topics in data analysis and presentation, uncertainties in measurements, and areas of mathematics relevant to these and chemistry are also briefly surveyed.

    After quick overviews of coding in chemistry and the MATLAB language and programming environment, the basics of assigning variables and arrays are introduced. Writing simple scripts and functions, step-by-step through chemistry and environmental chemistry examples, is then employed to present scientific data. Coding skills are further developed in the next set of chapters while fitting curves to experimental data and handling measurement uncertainties. Using coding to organise information in chemistry representing various types of transformations, spatial effects and interactions is covered in the chapters on vectors and matrices. Next, user-defined functions are utilized to predict the concentrations of chemicals during reactions, before looking into developing code for enhanced workflows that allow computers to make decisions while executing programs. In the final two chapters, coding is extended to tackling common maths problems in chemistry including unit algebra, rearranging expressions, solving equations, differentiation and integration.