Computational Fluid Dynamics Courses

Computational Thinking for Problem Solving

1435 ratings at Coursera

Learn the four pillars of computational thinking — decomposition, pattern recognition, abstraction, algorithms — then analyze algorithm performance and express solutions in pseudocode and simple Python programs.

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

Problem Solving Using Computational Thinking

1310 ratings at Coursera

Break complex problems down with abstraction, decomposition, pattern recognition, and algorithms, then apply them across cases in surveillance, epidemiology, and trafficking to build a disaster response plan.

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

Career Certificate

Computational Thinking using Python

1 rating

Learn to think computationally and write programs to tackle useful problems. Use these courses as stepping stones to more advanced computer science courses.

• edX
• 18 weeks, 14-16 hours a week
• Self-Paced
• $268.00
• 2 courses

Small-Molecule Spectroscopy and Dynamics

1 rating

The goal of this course is to illustrate the spectroscopy of small molecules in the gas phase

• MIT OpenCourseWare
• 34 hours
• Self-Paced
• Free Video

Introduction to Computational Science and Engineering

1 rating

CSE.0002x is an introduction to using computing to solve problems in engineering and science including simulation of time-dependent phenomena; optimization of systems; and quantification of uncertaint

• edX
• 9 weeks, 14-16 hours a week
• Self-Paced
• Free Certificate

Compression & Dynamics Master Class

11 ratings at CreativeLive

Compression & Dynamics Master Class with Graham Cochrane

• CreativeLive
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Siri Skor Dynamics 1: Particle Kinematics

Menganalisis kinematik zarah daripada gerakan linear hingga laluan melengkung, termasuk gerakan peluncur, koordinat normal-tangen, sistem tali dan kapi, serta gerakan mutlak.

• OpenLearning
• Self-Paced
• Paid Course

Feedback, Conflict, and Team Dynamics

Practice manager techniques for feedback, team development, and conflict mediation using the SBI framework and Tuckman’s team lifecycle.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

CS101: Introduction to Programming and Computational Thinking

Develop your computational thinking and problem solving skills from the ground up, learn the art and science of programming to write beautiful code.

• OpenLearning
• 10 hours
• Self-Paced
• Paid Course

CS101: Programming and Computational Thinking

Develop your computational thinking and problem solving skills from the ground up, learn the art and science of programming to write beautiful code.

• OpenLearning
• 15 hours
• Self-Paced
• Paid Course

DYNAMICS OF LEADERSHIP

Survey leadership theories and practices, culminating in an e-portfolio focused on transformational leadership.

• OpenLearning
• Self-Paced
• Paid Course

Computational and Graphical Models in Probability

Simulate random variables with the inverse transformation and rejection methods, then model relational data using exponential random graph models and probabilistic graphical models in R.

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

Epidemics - the Dynamics of Infectious Diseases

11 ratings

Explore how infectious diseases spread and are controlled: pathogens and R0, host immunity, social networks, vaccination and herd immunity, drug resistance evolution, and digital disease surveillance.

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

Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals

1 rating

Learn to program nested if/else statements and compound Boolean conditionals in Snap and Scratch, build a soccer game, and prepare classroom debugging and equity resources for students.

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

Computational Methods in Pricing and Model Calibration

48 ratings at Coursera

Price options and interest rate products in Python: apply Fourier and FFT methods, calibrate Black-Merton-Scholes, Heston, Variance Gamma, Vasicek and CIR models to market data.

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