Online textbook that introduces MATLAB through the use of interesting puzzles and problems
An interactive video-based tutorial that introduces MATLAB capabilities and programming
Freshmen learn basic programming concepts and problem-solving with MATLAB at the same time.
Recorded webinar on techniques for introducing MATLAB to engineering students
Overview of how to run MATLAB code on an NVIDIA CUDA-enabled GPU (Graphics Processing Unit)
Course materials include: syllabus, tutorials, homework and solution, and projects.
Web-based MATLAB tutorial covering programming, data analysis, and plotting
Textbook for introducing programming and technical computing concepts to undergraduates
Powerpoint slides and exercises introducing MATLAB and Simulink and their utility in teaching
Undergraduate textbook on exploratory data analysis, statistical modeling, and machine learning
Lecture materials, assignments & related MATLAB files for course by MIT prof Tommi Jaakkola
Introduction to MATLAB for math, science & engineering; requires no prior programming knowledge
Undergraduate text that introduces quantum computing theory and techniques (uses MATLAB examples)
ASEE Paper on how MATLAB was integrated as a computational tool throughout an engineering curriculum
Introduces MATLAB for solving engineering problems, visualization and simulation
MATLAB tutorial covering basic and advanced uses (makes extensive use of published examples)
This is a short self-paced course for first year students to get started with MATLAB
Teaches you the basics of Matlab without requiring any previous experience of programming.
A short introduction to MATLAB including programming, image analysis, statistics, and data import.
Tutorial introduction to MATLAB programming and its application in data analysis and simulation
MATLAB code for neural network research (e.g., backpropagation, real-time recurrent learning)
A first course in computing for Biological Sciences students
Introductory course on adaptive filters, machine learning and neural networks (uses MATLAB)
An inverted classroom approach to teaching MATLAB for non-engineering majors.
Support de cours et modèles téléchargeables MATLAB-Simulink-Stateflow,
Course materials by Professor Magnus Egerstedtfrom Georgia Institute of Technology.
CSE 131 is a course in technical problem solving using MATLAB.
Enabling you to select the programming paradigm to work well in a multicore system
The Genetic and Evolutionary Algorithm Toolbox (GEATbx) by Hartmut Pohlheim
Updating the object-oriented programming capabilities of MATLAB in R2008a
De IMC leert basisvaardigheden in gebruik van MATLAB als rekengereedschap voor technische problemen.
This course is designed for students of the departments of Mechanical Engineering and Biomedical ...
Uses MATLAB to introduce topics such as simulation, visualization, statistics, and data processing.
This course uses MATLAB to introduce the elements of procedural and object-oriented programming. ...
Introduction to MATLAB programming, data structures, and 2D and 3D graphics
A 74 page PDF tutorial on MATLAB by Northwestern University professor David Houcque
Use of object-oriented techniques in the MATLAB language to implement typical technical application
Introduction to Programming in MATLAB for Cognitive Science majors
Tutorial by Dan Simon, Dept of Electrical and Computer Engineering, Cleveland State U, Cleveland OH
A MATLAB Toolbox of Level Set Methods by Ian Mitchell
Presentation on avoidance of inefficiencies, mistakes & improvement of runtime using Matlab methods
Self-contained MATLAB tutorial and reference for Mechnical Engineering students (from 1995)
Curso de MATLAB básico, expresiones algebraicas, métodos numéricos, análisis de series temporales.
A collection of MATLAB tutorials and videos from Michigan State University.
An overview of MATLAB. Topics covered include functions, vectors, matrices, cell arrays, & graphics.
Thorough tutorial of MATLAB 7.0 in Spanish (128 pages, PDF)
Brief tutorials on MATLAB programming and plotting
Overview of MATLAB commands and syntax for mechanical engineering students
Robust and efficient algorithms for very large sparse graphs.