Introduction to Programming with MATLAB (Coursera)

Offered by Vanderbilt University,
Introduction to Programming with MATLAB (Coursera)

This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.
Nevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.
Students taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.
Course 1 of 3 in the MATLAB Programming for Engineers and Scientists Specialization

Syllabus

WEEK 1
Course Pages

WEEK 2
The MATLAB Environment
We will learn how to start MATLAB and will familiarize ourselves with its user interface. We will learn how to use MATLAB as a sophisticated calculator. We will learn about syntax and semantics. We will see ways in which MATLAB provides help. Finally, we will learn how to create plots in MATLAB.

WEEK 3
Matrices and Operators
The basic unit with which we work in MATLAB is the matrix. We solve problems by manipulating matrices, and operators are the primary means by which we manipulate them. We will learn how to define matrices, extract parts of them and combine them to form new matrices. We will learn how to use operators to add, subtract, multiply, and divide matrices, and we will learn that there are several different types of multiplication and division. Finally, we will learn MATLAB’s rules for determining the order in which operators are carried out when more than one of them appear in the same expression.

WEEK 4
Functions
Functions let us break up complex problems into smaller, more manageable parts. We will learn how functions let us create reusable software components that can be applied in many different programs. We will learn how the environment inside a function is separated from the outside via a well defined interface through which it communicates with that outside world. We will learn how to define a function to allow input to it when it initiates its execution and output from it when it is done.

WEEK 5
Programmer's Toolbox
MATLAB has useful built-in functions and we will explore many of them in this section. We will learn about polymorphism and how MATLAB exploits it to change a function's behavior on the basis of the number and type of its inputs. Because random numbers play an important role in computer programming, we will learn how to use the MATLAB random number generator. We will learn how to get input from the keyboard, how to print to the Command Window, and how to plot graphs in a Figure window. Finally, we will learn how to find programming errors with the help of the debugger.

WEEK 6
Selection
Selection is the means by which MATLAB makes decisions about the order in which it executes its statements. We will learn how to use the if-statement, which is the most important method of selection. We will learn how to use relational operators and logical operators. We will learn how to write polymorphic functions and how to make functions resistant to error.

WEEK 7
Loops
Loops give computers their power. We will learn how to use both of MATLAB's loop constructs: the for-loop and the while-loop. We will learn how the break-statement works, and we will use nested loops. We will learn how to make loops more efficient. We will learn about logical indexing and will see how to use it to produce implicit loops that are efficient and easy for a user to understand.

WEEK 8
Data Types
Computers operate on bits, but humans think in terms of numbers, words, and other types of data. Like any good language, MATLAB organizes bits into convenient data types. We will study those types in this section. We will learn that there are ten types of numbers and that there are conversion functions to change one type into another. We will learn much more about strings and how the characters in them are encoded as numbers. We will learn how to produce heterogeneous collections of data via structs and cells, and we will learn how to store points in time and time durations.

WEEK 9
File Input/Output
Files are named areas in permanent memory for storing data that can be used as input or output to MATLAB and to other programs. We will be introduced to MATLAB’s most important methods for reading and writing files. We will learn how to create, read from, and write into MAT-files, Excel files, text files, and binary files. We will learn how to navigate among folders with MATLAB commands.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Computer Science: Programming with a Purpose (Coursera) Coursera
Princeton University

Computer Science: Programming with a Purpose (Coursera)

The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.

Nov 2nd 2026
5-12 Weeks
Dynamical Modeling Methods for Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Dynamical Modeling Methods for Systems Biology (Coursera)

An introduction to dynamical modeling techniques used in contemporary Systems Biology research. We take a case-based approach to teach contemporary mathematical modeling techniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments.

Nov 2nd 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Nov 2nd 2026
5-12 Weeks
Data and Health Indicators in Public Health Practice (Coursera) Coursera
Johns Hopkins University

Data and Health Indicators in Public Health Practice (Coursera)

Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions.

Nov 2nd 2026
4 Weeks
Customer Relationship Management (Coursera) Coursera
Starweaver

Customer Relationship Management (Coursera)

Customer Relationship Management (CRM) is a comprehensive course that explores various aspects of CRM, from data-driven strategies to customer segmentation and loyalty programs. The course is designed in three stages, each building upon the previous one, and includes self-paced learning with pre-recorded video lectures, exercises, and interactive quizzes. Real-world case studies and problem-solving exercises are introduced in the Intermediate and Advanced stages to simulate real CRM challenges.

Nov 2nd 2026
1 Week
Executing Full Text Queries with Elasticsearch (Coursera) Coursera
Board Infinity

Executing Full Text Queries with Elasticsearch (Coursera)

This course is designed to teach you how to execute full-text queries with Elasticsearch, a powerful search and analytics engine widely used for data exploration, log analysis, and real-time search applications. In this course, you will learn the basics of Elasticsearch, including how to install and configure the software, index data, and create mappings. You will then explore the various query types supported by Elasticsearch, such as term queries, match queries, and phrase queries. You will also learn how to use Elasticsearch's aggregation framework to analyze and summarize your data.

Nov 2nd 2026
3 Weeks
Introduction to .NET Core (Coursera) Coursera
Board Infinity

Introduction to .NET Core (Coursera)

This course is an introductory-level course for software developers who want to learn the basics of developing applications with .NET Core. .NET Core is a cross-platform, open-source development platform that allows developers to create applications for Windows, Linux, and macOS. Throughout this course, students will learn the fundamental concepts of .NET Core, including its architecture, programming model, and tools. They will also learn how to create, build, and deploy applications using .NET Core.

Nov 2nd 2026
3 Weeks
Excel/VBA for Creative Problem Solving, Part 2 (Coursera) Coursera
University of Colorado Boulder

Excel/VBA for Creative Problem Solving, Part 2 (Coursera)

Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).

Nov 2nd 2026
4 Weeks
Computer Science: Algorithms, Theory, and Machines (Coursera) Coursera
Princeton University

Computer Science: Algorithms, Theory, and Machines (Coursera)

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.

Nov 2nd 2026
5-12 Weeks