Coursera

C++ For C Programmers, Part A (Coursera)

Offered by University of California, Santa Cruz,

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

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

Course 3 of 4 in the Coding for Everyone: C and C++ Specialization.

Syllabus

WEEK 1
How to convert an existing C program to C++. Use of type safe Input/Output.
Avoiding the preprocessor.

WEEK 2
Review of Dijkstra's shortest path algorithm. C++ Functions and Generics. C++ classes and OO.
Point as an example.

WEEK 3
Point: Default constructor and initializing syntax. Conversion Constructors. Copy Constructor. List and dynamic memory allocation. Deep Copy.

WEEK 4
Prim’s and Kruskal’s algorithms. Use of basic Container Classes. Tripod-Container, Iterator, Algorithm.

WEEK 5
Final Exam
Practice and final.

Go to Class

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

Related Courses

Coursera

Princeton University

Computer Science: Programming with a Purpose (Coursera)

CS: Programming Computer Science

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.

Sep 7th 2026

5-12 Weeks

Programming Algorithms Computer Science

Coursera

Rice University

Principles of Computing (Part 2) (Coursera)

CS: Software Engineering CS: Theory

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Sep 7th 2026

4 Weeks

Programming Python Computing

Coursera

Rice University

Principles of Computing (Part 1) (Coursera)

CS: Software Engineering

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming.

Sep 7th 2026

5-12 Weeks

Programming Python Probability

Coursera

University of London,Goldsmiths, University of London

Mathematics for Computer Science (Coursera)

Sci: Mathematics

Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games.

Sep 7th 2026

5-12 Weeks

Math Computer Science Kinematics

Coursera

IBM

IBM z/OS Rexx Programming (Coursera)

CS: Software Engineering CS: Programming

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX. A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course.

Sep 7th 2026

5-12 Weeks

Programming Computer Programming z/OS

Coursera

University of Colorado Boulder

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

CS: Theory CS: Programming

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).

Sep 7th 2026

4 Weeks

Algorithms Spreadsheets Excel

Coursera

The University of Tokyo

Interactive Computer Graphics (Coursera)

CS: Software Engineering

Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role in harnessing the users' creativity. This course will introduce various interactive tools developed in computer graphics research field with their design rationales and algorithms.

Sep 7th 2026

5-12 Weeks

Robotics Algorithms Computer Graphics

Coursera

École Polytechnique Fédérale de Lausanne

Functional Program Design in Scala (Scala 2 version) (Coursera)

CS: Software Engineering

In this course you will learn how to apply the functional programming style in the design of larger Scala applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world. Finally, you will learn how to leverage the ability of the compiler to infer values from types.

Sep 7th 2026

5-12 Weeks

Programming Scala Program Design

Coursera

University of California, Santa Cruz

C++ For C Programmers, Part B (Coursera)

CS: Software Engineering CS: Programming

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

Sep 7th 2026

5-12 Weeks

Programming Algorithms C++

Coursera

University of Michigan

The Finite Element Method for Problems in Physics (Coursera)

Engineering Sci: Mathematics

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.

Sep 7th 2026

13-24 Weeks

Math Physics Linear Algebra

Coursera

Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Sep 7th 2026

4 Weeks

Python Computing Algorithms

Coursera

Duke University

Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera)

Engineering Sci: Mathematics

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

Sep 7th 2026

5-12 Weeks

Math Image Video