Coursera

Physics 101 - Rotational Motion and Gravitation (Coursera)

Offered by Rice University,
Physics 101 - Rotational Motion and Gravitation (Coursera)

This course serves as an introduction to the physics of rotational motion and gravitation. Upon completion, learners will have an understanding of how mathematical laws and conservation principles describe the motions and interactions of objects all around us. They will gain experience in solving physics problems with tools such as graphical analysis, algebra, vector analysis, and calculus.

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

The course is the third course in the Physics 101 specialization, which follows the typical progression of topics of a first-semester university physics course: Kinematics, Newton’s Laws, Energy, and Momentum. Each of the modules contains reading links to a free textbook, complete video lectures, conceptual quizzes, and a set of homework problems. Once the modules are completed, the course ends with an exam. This comprehensive course is similar in detail and rigor to those taught on-campus. It will thoroughly prepare learners for their upcoming introductory physics courses, or more advanced courses in physics.
What You Will Learn

  • Learners will be prepared to critically evaluate real-world data and information regarding motion.
  • Learners can apply mathematical laws to the motions of objects under a variety of physical circumstances.
  • Learners will be prepared for more advanced courses in physics.

Course 3 of 3 in the Introduction to Mechanics Specialization

Syllabus

WEEK 1: Rotational Motion
WEEK 2: Angular Momentum
WEEK 3: Universal Gravitation
WEEK 4: Rotational Motion and Gravitation EXAM - This module contains the exam that covers Forces and Kinematics. The style is very similar to the homework problems sets, except you must complete it on your own.

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

Related Courses

Control of Nonlinear Spacecraft Attitude Motion (Coursera) Coursera
University of Colorado Boulder

Control of Nonlinear Spacecraft Attitude Motion (Coursera)

Engineering Sci: Physics

This course trains you in the skills needed to program specific orientation and achieve precise aiming goals for spacecraft moving through three dimensional space. First, we cover stability definitions of nonlinear dynamical systems, covering the difference between local and global stability. We then analyze and apply Lyapunov's Direct Method to prove these stability properties, and develop a nonlinear 3-axis attitude pointing control law using Lyapunov theory. Finally, we look at alternate feedback control laws and closed loop dynamics.

Jun 8th 2026
4 Weeks
Astronomy Physics Engineering
Details
Calculus through Data & Modelling: Series and Integration (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Series and Integration (Coursera)

Sci: Mathematics

This course continues your study of calculus by introducing the notions of series, sequences, and integration. These foundational tools allow us to develop the theory and applications of the second major tool of calculus: the integral. Rather than measure rates of change, the integral provides a means for measuring the accumulation of a quantity over some interval of input values. This notion of accumulation can be applied to different quantities, including money, populations, weight, area, volume, and air pollutants. The concepts in this course apply to many other disciplines outside of traditional mathematics.

Jun 8th 2026
5-12 Weeks
Calculus Data Sequences
Details
Calculus: Single Variable Part 2 - Differentiation (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 2 - Differentiation (Coursera)

Sci: Mathematics

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Jun 8th 2026
3 Weeks
Math Calculus Differential
Details
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Jun 8th 2026
4 Weeks
Algebra Linear Algebra Data Science
Details
Non-Equilibrium Applications of Statistical Thermodynamics (Coursera) Coursera
University of Colorado Boulder

Non-Equilibrium Applications of Statistical Thermodynamics (Coursera)

Engineering

Course 5 of Statistical Thermodynamics explores three different applications of non-equilibrium statistical thermodynamics. The first is the transport behavior of ideal gases, with some discussion of transport in dense gases and liquids. It starts with simple estimates of the transport properties of an ideas gas. It then introduces the Boltzmann Equation and describes the Chapman-Enskog solution of that equation in order to obtain the transport properties. It closes with a discussion of practical sources of transport properties.

Jun 8th 2026
3 Weeks
Thermodynamics Mechanical Engineering Solids
Details
Single Variable Calculus (Coursera) Coursera
University of Pennsylvania

Single Variable Calculus (Coursera)

Sci: Mathematics

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

Jun 8th 2026
5-12 Weeks
Math Calculus Sequences
Details
Matrix Algebra for Engineers (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Matrix Algebra for Engineers (Coursera)

Sci: Mathematics

This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course. There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity. Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.

Jun 8th 2026
4 Weeks
Math Algebra Linear Algebra
Details
Calculus through Data & Modelling: Integration Applications (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Integration Applications (Coursera)

Sci: Mathematics

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values.

Jun 8th 2026
4 Weeks
Calculus Data Mathematics
Details
Calculus through Data & Modelling: Vector Calculus (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Vector Calculus (Coursera)

Sci: Mathematics

This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths and double integrals.

Jun 8th 2026
3 Weeks
Calculus Data Integrals
Details
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Statistics & Data Analysis Data Science

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Jun 8th 2026
4 Weeks
Algebra Algorithms Databases
Details