Download Computer Programming With Matlab
Donnell Simon
Written for high school students and undergraduate students, Computer Programming with MATLAB (available as an eBook) teaches computer programming and introductory computer science to novices using the MATLAB system and language. The book places more emphasis on the general concepts from the discipline of computer science than does the typical introduction to MATLAB. Topics include matrices and operators, functions, control constructs, linear algebra, and object oriented programming. The latest edition of the book includes links to over 11 hours of online video lectures covering the main concepts.
The electrical engineering and computer science department at Vanderbilt University has offered a first-year computer programming course for more than 30 years. Like similar courses at other universities, the content was always dictated by the needs of computer science majors. This one-size-fits-all approach failed to engage many engineering students because engineers and computer scientists approach programming with divergent goals. While engineers typically create programs that they will use themselves, computer scientists typically create programs for use by non-programmers.
To help first-year engineering students learn programming with MATLAB, we have developed an Apple ebook that combines the principles, vocabulary, and methods of computer science with engineering problem-solving in an interactive format (Figure 1). The ebook is used as a textbook for a course that develops MATLAB skills early in the engineering curriculum, making it possible to cover much more material in upper-level engineering courses that require MATLAB programming.
We were careful to provide consistent, accepted definitions for all computer science terms used in the course. When students encounter a new term in the ebook, with a single tap they can see a definition, jump to the glossary, or even switch to a browser and read more about the term on Wikipedia. They can take notes, highlight text, and copy code snippets to try in MATLAB (Figure 3).
To bring students without programming experience up to speed, we start CS 103 with a two-week introduction to visual programming, using the Scratch environment from the MIT Media Lab. Following that simplified lesson, we tell the students it is time to begin some real programming, and we follow the topics covered in the ebook.
After introducing the MATLAB environment, including matrices and operators, we teach procedural programming, beginning with a lesson on functions. Students learn the importance of well-defined interfaces and how to use functions to create reusable software components. In the following weeks, we cover selection (also known as branching) using if and switch statements, loops, data types, and file input/output. We then take a more in-depth look at functions, introducing functions with a variable number of arguments and recursion.
Michael Fitzpatrick is a professor emeritus of computer science at Vanderbilt University. He retired in 2011 after teaching at the college level for 35 years, teaching computer science for 29 years, and teaching computer programming with MATLAB for 11 years. He received a B.S. in physics and an M.S. in computer science from the University of North Carolina at Chapel Hill, and a Ph.D. in physics from Florida State University. He uses MATLAB in his research in computer-assisted surgery.
Ákos Lédeczi is an associate professor of computer engineering and senior research scientist at the Institute for Software Integrated Systems at Vanderbilt University, where he has been teaching computer programming with MATLAB for five years. He holds an M.S. in electrical engineering from the Technical University of Budapest and a Ph.D. in electrical engineering from Vanderbilt University. His research includes model-integrated computing and wireless sensor networks.
Introduction to Programming with MATLAB is an introductory, college-level course that teaches students how to apply the principles, vocabulary, and constructs of computer science to solve science and engineering problems with MATLAB.
Mike Fitzpatrick is a professor emeritus of computer science at Vanderbilt University. He retired in 2011 after teaching at the college level for 35 years, teaching computer science for 29 years, and teaching computer programming with MATLAB for 11 years. He holds a B.S. in physics and an M.S. in computer science from the University of North Carolina at Chapel Hill and a Ph.D. in physics from The Florida State University. He has used MATLAB in his research in computer-assisted surgery for over 20 years.
Ákos Lédeczi is a professor of computer engineering and the director of graduate studies in computer science at Vanderbilt University, where he has been teaching computer programming with MATLAB for eight years. He holds an M.S. in electrical engineering from the Technical University of Budapest and a Ph.D. in electrical engineering from Vanderbilt University. His research interests include model-integrated computing and wireless sensor networks.
Computer programming and the use of computers to solve engineering and mathematical problems. Emphasizes applying problem solving skills; directed toward technical careers in fields employing a reasonably high degree of mathematics. The programming language used depends on the demands of the departments in the college. Several languages may be taught each semester, no more than one per section. Those required to learn a specific language must enroll in the correct section.
This book accomplishes two things simultaneously: it teaches you to use the latest version of the powerful MATLAB programming environment, and it teaches you core, transferable programming skills that will make you feel at home with most procedural programming languages.
Unlike many MATLAB books, ours assumes no prior experience in computer programming. Using an approachable tone, we take you from the simplest variables through complex examples of data visualization and curve fitting. Each chapter builds on the last, presenting an in-depth tutorial on a focused concept central to programming, using the MATLAB language, but applicable to countless other popular and in-demand languages such as C++, Java, JavaScript, R, and Python. We'll ask you to perform short exercises as we work through each chapter, followed by more end-to-end exercises and mental challenges at the chapter's end. As the complexity of the concepts increases, the exercises present increasingly real-world engineering challenges to match.
Once you've completed An Engineer's Introduction to Programming with MATLAB 2019, you will have a solid foundation in computer programming forms and concepts and a comfort with the MATLAB environment and programming language. We believe that you'll enjoy both gaining and having that knowledge, and that you'll be able to use it almost immediately with your other coursework.
Introduction to computer programming and problem-solving techniques with MATLAB applications in engineering and the physical sciences; algorithm development; programming lab experience. Cross-listed in CSE.
MATLAB (an abbreviation of "MATrix LABoratory"[22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
MATLAB was invented by mathematician and computer programmer Cleve Moler.[25] The idea for MATLAB was based on his 1960s PhD thesis.[25] Moler became a math professor at the University of New Mexico and started developing MATLAB for his students[25] as a hobby.[26] He developed MATLAB's initial linear algebra programming in 1967 with his one-time thesis advisor, George Forsythe.[25] This was followed by Fortran code for linear equations in 1971.[25]
In the 1980s, Cleve Moler met John N. Little. They decided to reprogram MATLAB in C and market it for the IBM desktops that were replacing mainframe computers at the time.[25] John Little and programmer Steve Bangert re-programmed MATLAB in C, created the MATLAB programming language, and developed features for toolboxes.[26]
Variables are defined using the assignment operator, =. MATLAB is a weakly typed programming language because types are implicitly converted.[38] It is an inferred typed language because variables can be assigned without declaring their type, except if they are to be treated as symbolic objects,[39] and that their type can change. Values can come from constants, from computation involving values of other variables, or from the output of a function. For example:
MATLAB can call functions and subroutines written in the programming languages C or Fortran.[52] A wrapper function is created allowing MATLAB data types to be passed and returned. MEX files (MATLAB executables) are the dynamically loadable object files created by compiling such functions.[53][54] Since 2014 increasing two-way interfacing with Python was being added.[55][56]
Course Description:
MATLAB is a high-level language and interactive environment that allows one to solve science/engineering problems quickly using built-in functionality. MATLAB is typically used to perform the following tasks:
- Various mathematical operations, e.g. matrix and vector multiplication.
- Data manipulation and analysis.
- Plotting and visualization.
- Complex mathematical functionality, e.g. optimization.
- Implementing prototypes of algorithms and models.
Recommended Text: Duane Hanselman and Bruce Littlefield, Mastering MATLAB 7, Prentice Hall. ISBN: 0131430181.
The book is available in the library, and the MATLAB documention is quite satisfactory on its own.But it is a reasonable reference, if you need one.
A more comprehensive (& costly) reference is Mastering MATLAB by the same authors.
Useful Links:
- MATLAB Documentation from Mathworks
- MATLAB File Exchange repository for MATLAB code
Requirements:
- Access to MATLAB (version 7 or higher). The Cunix machine (cunix.cc.columbia.edu) has MATLAB installed.
To access the machine type 'ssh your...@cunix.cc.columbia.edu' at your terminal/shell/telnet and enter your UNI password.
Alternatively, there are computer labs on campus where you can use your CS account to access MATLAB, or you can get a student copy at no cost under the Engineering School's site licence here. - Access to courseworks for homework and grades.
- No textbook is required, but you are encouraged to consult the references mentioned above.
- Basic understanding of linear algebra and elementary statistics is useful, but not required. No programming experience is required.