Foundations of Quantum Mechanics (Coursera)

Foundations of Quantum Mechanics (Coursera)

This course covers the fundamental concepts and topics of quantum mechanics which include basic concepts, 1D potential problems, time evolution of quantum states, and essential linear algebra. It provides undergraduate level foundational knowledge and build on them more advanced topics.

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

This course can also be taken for academic credit as ECEA xxxx, part of CU Boulder’s Master of Science in Electrical Engineering degree.
At the end of this course learners will be able to:

  1. demonstrate full grasp of basic concepts in quantum mechanics including wave-particle duality, operators and wavefunctions, and evolution of quantum states,
  2. achieve mastery of the mathematical apparatus needed for quantum mechanics and
  3. attain foundational knowledge required to learn more advanced quantum mechanics and applications.

What You Will Learn

  • Understand the quantum mechanical meaning of wave-particle duality
  • Calculate probabilities and expectation values for physical observables
  • Use both Schrödinger and Heisenberg picture to solve for time evolution of quantum states
  • Describe fermions and bosons using multiparticle basis functions.

Course 1 of 3 in the Quantum Mechanics for Engineers Specialization.

Syllabus

WEEK 1
Wave-particle Duality and Schrödinger Equation
In this module we will introduce the course and the Quantum Mechanics for Engineers specialization. In addition, we will discuss wave-particle duality, time-independent Schrödinger equation. one-dimensional infinite potential well problem, properties of eigensolutions and Hilbert space.

WEEK 2
One-dimensional Potential Problems
In this module, we will solve several one-dimensional potential problems. They include finite potential well, harmonic oscillator, potential step and potential barrier. We will discuss the physical meaning of the solutions and highlight any non-classical behaviors these problems exhibit.

WEEK 3
Operators and Measurements 1
This module covers the theory of measurements in quantum mechanics. We start our discussion by introducing Stern-Gerlach experiment and the difficulty in interpreting the results classically. We then develop mathematical tools required to properly describe the results and then apply them to the interpretation of Stern-Gerlach experiments.

WEEK 4
Operators and Measurements 2
In this module we expand upon the discussion from the previous module and introduces Hamiltonian, position and momentum operators and the uncertainty principle that governs the relationship between the operators. We also discuss the general principle of change of basis and the specific example of position and momentum representations.

WEEK 5
Time Evolution of Quantum States
This module discusses how to describe the time-evolution of a quantum system. There are two equivalent methods, Schrödinger and Heisenberg pictures, where the time evolution can be obtained by the time-dependent Schrödinger equation and Heisenberg equation of motion, respectively. We will discuss the specific example of harmonic oscillator and finally introduce the particle current.

WEEK 6
Ensembles and Identical Particles
This module discusses how to deal with ensembles. We will first discuss the difference between pure and mixed states and how to use the density matrix to describes them. We then discuss indistinguishable particles and exchange interaction, which eventually lead us to the thermal distribution functions.

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

Related Courses

Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX) EdX
Imperial College London,ImperialX

Further Mathematics Year 13 course 2: Applications of Differential Equations, Momentum, Work, Energy & Power, The Poisson Distribution, The Central Limit Theorem, Chi Squared Tests, Type I and II Errors (edX)

Develop your thinking skills, fluency and confidence in the applied mathematics content of A-level further maths and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain a deeper understanding of the skills and techniques that you can apply throughout your A-level study.

Self Paced
5-12 Weeks
Initiation à la théorie des distributions (Coursera) Coursera
École Polytechnique

Initiation à la théorie des distributions (Coursera)

Une fonction discontinue peut-elle être solution d'une équation différentielle? Comment définir rigoureusement la masse de Dirac (une "fonction" d'intégrale un, nulle partout sauf en un point) et ses dérivées? Peut-on définir une notion de "dérivée d'ordre fractionnaire"? Cette initiation aux distributions répond à ces questions - et à bien d'autres.

Oct 5th 2026
5-12 Weeks
Theory of Angular Momentum (Coursera) Coursera
University of Colorado Boulder

Theory of Angular Momentum (Coursera)

This course can also be taken for academic credit as ECEA xxxx, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition.

Sep 28th 2026
3 Weeks
Introduction to Physical Chemistry (Coursera) Coursera
University of Manchester

Introduction to Physical Chemistry (Coursera)

Chemical reactions underpin the production of pretty much everything in our modern world. But, what is the driving force behind reactions? Why do some reactions occur over geological time scales whilst others are so fast that we need femtosecond-pulsed lasers to study them? Ultimately, what is going on at the atomic level? Discover the answers to such fundamental questions and more on this course in introductory physical chemistry.

Sep 21st 2026
5-12 Weeks
Numerical Methods for Engineers (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Numerical Methods for Engineers (Coursera)

Numerical Methods for Engineers covers the most important numerical methods that an engineer should know. We derive basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB online and the MATLAB grader is given to all students who enroll. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. Students should have already studied a programming language, and be willing to learn MATLAB.

Sep 21st 2026
5-12 Weeks
The Einstein Revolution (edX) EdX
HarvardX,Harvard University

The Einstein Revolution (edX)

Traces Albert Einstein’s engagement with relativity, quantum mechanics, Nazism, nuclear weapons, philosophy, the arts, and technology. Albert Einstein has become the icon of modern science. Following his scientific, cultural, philosophical, and political trajectory, this course aims to track the changing role of physics in the 20th and 21st centuries.

Self Paced
Self-Paced
Differential Equations: Fourier Series and Partial Differential Equations (edX) EdX
MIT,MITx

Differential Equations: Fourier Series and Partial Differential Equations (edX)

Learn to use Fourier series to solve differential equations with periodic input signals and to solve boundary value problems involving the heat equation and wave equation. Differential equations are the mathematical language we use to describe the world around us. Many phenomena are not modeled by differential equations, but by partial differential equations depending on more than one independent variable.

Mar 22nd 2023
5-12 Weeks
Differential Equations Part III Systems of Equations (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Differential Equations Part III Systems of Equations (Coursera)

This introductory courses on (Ordinary) Differential Equations are mainly for the people, who need differential equations mostly for the practical use in their own fields. So we try to provide basic terminologies, concepts, and methods of solving various types of differential equations as well as a rudimentary but indispensable knowledge of the underlying theory and some related applications.

Oct 5th 2026
5-12 Weeks
Quantum Mechanics (edX) EdX
Georgetown University,GeorgetownX

Quantum Mechanics (edX)

Learn the quantum mechanics needed to prepare you for the second quantum revolution (focused on quantum sensing). We use a new way to teach quantum for undergraduates by focusing on conceptual ideas and operator manipulations. This allows us to discuss more applications to experiment usually done. You need a background in the full calculus sequence and in math methods. Freshman physics and modern physics is recommended. This course is appropriate for physicists, chemists and engineers.

Aug 21st 2023
13-24 Weeks