This course introduces the fundamentals of the programming platform of this course, MATLAB. Through MATLAB鈥檚 toolboxes, engineers can make use of AI techniques bypassing intricate programming and achieve superior results. After learning this course (3 modules), students will be ready to learn AI techniques using MATLAB in terms of programming skills. In this course, MATLAB fundamentals, particularly those that are useful for applying AI techniques using MATLAB, are introduced. This includes manipulating variables and matrices in MATLAB, MATLAB scripts, graphs, using built-in functions, defining and using custom functions, conditionals and program control, loops, table arrays and cell arrays to manipulate data, categorical data and one-hot encoding of them, etc. Case studies will be provided for writing objective functions in engineering optimization and data cleaning for building machine learning models, which are the fundamentals of Courses 2 and 3. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.
Module 2 Introduction to Week 2's Study
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Skills You'll Learn
Using MATLAB Global Optimization Toolbox, MATLAB programming, MATLAB programming for AI, Data preparation for machine learning
From the lesson
Produce Effective MATLAB Programs for Science and Engineering Problems
This module introduces conditionals and program control, loops, and MATLAB custom functions, followed by two case studies. After learning this module, students will be able to:
Taught By
Bo Liu
Professor