Computational Fluid Dynamics Courses

Introduction to Mechanics: Rotational Dynamics

Analyze rotational motion with calculus: moment of inertia of rigid bodies, torque, angular momentum, combined translation and rotation, and gyroscopes.

• MITx Online
• 4 weeks, 10-12 hours/week
• Self-Paced
• Free Online Course

Advanced Fluid Mechanics 2: The Navier-Stokes Equations for Viscous Flows

Apply the Navier-Stokes equations to viscous flows: analyze pipe, channel and Stokes flows using dynamical similarity, dimensional analysis, and lubrication theory for thin films.

• MITx Online
• 16 weeks, 8-12 hours/week
• Self-Paced
• Free Online Course

Computational Music Theory and Analysis

Explores computational approaches to symbolic music theory and musicology, using Python and music21 for representation, analysis, search, and generation.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Career Certificate

Computational Thinking & Block Programming in K-12 Education

33 ratings at Coursera

Learn block-based programming for K-12 classrooms: sequences, loops, variables, nested and conditional loops, if statements, abstraction, methods, and lists, aligned to CSTA standards.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Computational Thinking for K-12 Educators: Sequences and Loops

26 ratings at Coursera

Teach sequences and loops with block-based programming: build Snap and code.org programs, spot common student bugs, run classroom discussions, and apply pair programming.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Computational Thinking for K-12 Educators: Conditional Loops and If Statements

Learn to teach conditional loops and if/else statements: write repeat-until, while, and do-while programs, diagnose common student bugs, and lead peer instruction discussions.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

Teach abstraction, method parameters, lists, and recursion in Snap: practice programming, diagnose common student bugs, and design culturally relevant assignments for computer science classrooms.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Computational Thinking for K-12 Educators: Variables and Nested Loops

Teach computational thinking in K-12: work through nested repeats, events, and variables with code.org puzzles, lead class discussions on common bugs, and build an equitable classroom.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Computational Thinking for K-12 Educators Capstone

Prepare students for the AP Computer Science Principles Create Task: apply the scoring rubric to sample student work, build support resources, and complete your own programming project.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

American Museum of Natural History

Ecology: Ecosystem Dynamics and Conservation

8 ratings

See an ecosystem as a dynamic whole, not a collection of parts: study populations, keystone species, energy flow, and conservation choices in Gorongosa National Park.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Fluid Mechanics I

11 ratings

Learn the fundamental properties of Fluids, Pascal's Law, Buoyancy and the Bernoulli Equation, Energy Equation and more on this series of lectures by Dr. Biddle

• YouTube
• 20 hours
• Self-Paced
• Free Video

Building Team Dynamics: Essential Skills for Leaders

Explores the “invisible 80%” of leadership: managing cognitive biases, subconscious heuristics, and emotional reactions to build authentic team acceptance.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Mastering Team Dynamics

Learn to build productive team dynamics: manage conflict, foster communication climates, wield power and persuasion, curb social loafing, and choose team decision-making strategies.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Fundamentals of Fluid Power

1503 ratings at Coursera

Fluid power has the highest power density of any conventional power-transmission technology: analyze hydraulic components, valves, pumps and circuits, and simulate them in Simscape Fluids.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Free Online Course

Higher-Order Effects, Dynamics, and the NMR Time Scale - Lecture 24

1 rating

Explains higher-order NMR effects, spectral averaging on molecular time scales, and how to predict spectra for compounds with diastereotopic groups.

• YouTube
• 51 minutes
• Self-Paced
• Free Video