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Item #:
144097646
MATLAB Programming for Biomedical Engineers and Scientists
Item #:
144097646
€ 84
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- MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB.The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more. Presents many real-world biomedical problems and data, showing the practical application of programming conceptsContains two whole chapters dedicated to the practicalities of designing and implementing more complex programsProvides an accompanying website with freely available data and source code for the practical code examples, activities and exercises in the bookIncludes new chapters on machine learning, engineering mathematics, and expanded coverage of data types
| Publisher | Academic Press |
| Publication date | August 24, 2022 |
| Edition | 2nd |
| Language | English |
| Print length | 464 pages |
| ISBN-10 | 9780323857734 |
| ISBN-13 | 978-0323857734 |
| Item Weight | 1.85 pounds (840 grams) |
| Dimensions | 7.25 x 0.75 x 9 inches (18.4 x 1.9 x 22.9 cm) |
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MATLAB Programming for Biomedical Engineers and Scientists
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€ 84
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Features & Benefits
- Easy-to-learn introduction to MATLAB programming for biomedical fields.
- Focuses on good programming practices for efficient and robust code.
- Ideal for students and professionals with little or no programming experience.
- Real-world biomedical problems and data for practical understanding.
- Comprehensive resources including an accompanying website with data and code.
- New coverage on machine learning, engineering mathematics, and advanced data types.
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