Programming Fundamentals (Coursera)

Offered by Duke University,
Programming Fundamentals (Coursera)

Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class.

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

This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.
Course 1 of 4 in the Introduction to Programming in C Specialization.

Syllabus

WEEK 1
Introduction
This module introduces a powerful process for solving any programming problem—the Seven Steps. You will learn how to approach a programming problem methodically, so you can formulate an algorithm that is specific and correct. You will work through examples with sequences of numbers and graphical patterns to develop the skill of algorithm development.

WEEK 2
Reading Code
In this module, you will learn to read code—this means you will be able to execute a piece of code by hand, and clearly illustrate what each statement does and what the state of the program is. Understanding how to read code is the only way to be sure you can write correct code. By the end of this module, you will be able to read and understand code with functions, conditional statements, iteration, and other fundamental techniques.

WEEK 3
Types
Everything is a number to a computer, but types determine the size and interpretation of numbers. In this module you will learn about types beyond integers, both their conceptual representations, and their hardware representations in binary. You will learn basic data types, "non-number" types, and complex, custom types, as well as some important caveats, so you will avoid type-related programming mistakes.

WEEK 4
Project
You have learned a lot about designing algorithms and the programming concepts that will help you implement them. For this project, you will develop and test your own algorithm for sorting data. This module will reinforce the importance of being specific when you write an algorithm and provide an opportunity for you to do so yourself, for a very common computational task: sorting.

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

Related Courses

An Introduction to Programming using Python (Coursera) Coursera
University of Leeds

An Introduction to Programming using Python (Coursera)

Maximise your employability, by learning the basics of coding in Python. Python is a versatile programming language used for developing websites and software, task automation, data analysis and more. In this course, you'll embark on an exciting journey into the world of Python and gain valuable skills that will enable you to start thinking about a career in programming.

Nov 16th 2026
2 Weeks
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Nov 9th 2026
5-12 Weeks
Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera) Coursera
SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems.

Nov 16th 2026
5-12 Weeks
Programming with Cloud IoT Platforms (Coursera) Coursera
Pohang University of Science and Technology - POSTECH

Programming with Cloud IoT Platforms (Coursera)

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data.

Nov 16th 2026
5-12 Weeks
Programming for Data Science (Coursera) Coursera
University of Leeds

Programming for Data Science (Coursera)

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Nov 16th 2026
3 Weeks
Algorithms, Part I (Coursera) Coursera
Princeton University

Algorithms, Part I (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Nov 16th 2026
5-12 Weeks
Start Your Lifelong Learning (Coursera) Coursera
Accenture

Start Your Lifelong Learning (Coursera)

This course is designed to provide you with techniques to assist you in adopting a growth mindset, dealing effectively with others, and thinking through decisions. It will also help you resolve everyday challenges in the workplace and in your daily life. The course is divided into four modules: Lifelong Learning, Emotional Intelligence, Solving Problems, and Critical Thinking.

Nov 16th 2026
4 Weeks
Fundamental Skills in Bioinformatics (Coursera) Coursera
King Abdullah University of Science and Technology (KAUST)

Fundamental Skills in Bioinformatics (Coursera)

The course provides a broad and mainly practical overview of fundamental skills for bioinformatics (and, in general, data analysis). The aim is to support the simultaneous development of quantitative and programming skills for biological and biomedical students with little or no background in programming or quantitative analysis.

Nov 16th 2026
4 Weeks
VLSI CAD Part I: Logic (Coursera) Coursera
University of Illinois at Urbana-Champaign

VLSI CAD Part I: Logic (Coursera)

A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how to build thesA modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design.

Nov 16th 2026
5-12 Weeks