Numerical Methods Courses

TenarisUniversity

Introduction to Computer Numerical Control

2 reviews

Learn how The Introduction to Computer Numerical Control (CNC) Machining enables computers to control manufacturing tools and how to select, program and operate a CNC machine.

• edX
• 4 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Mathematical Methods for Data Analysis

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Wave-Based NDT Methods

Learn how to use wave-based NDT techniques, ultrasonic testing, acoustic emission, etc, to inspect the structural integrity of civil engineering structures, including highways, bridges, dams, and buildings.

• edX
• 6 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Qualitative Methods for Quantitative People (with GenAI)

Explore qualitative analysis using GenAI to enhance decision-making, resource allocation, and data interpretation. Gain hands-on experience with LLMs for comprehensive insights and improved collaboration.

• Coursera
• 3 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

Approximation Methods

Explore quantum mechanics approximation methods, including perturbation theory and variational techniques. Gain practical skills to solve complex problems in quantum systems.

• Coursera
• 14 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Methods for Solving Problems

179 ratings at Coursera

In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.

• Coursera
• 6 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Integral Calculus and Numerical Analysis for Data Science

91 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Data Mining Methods

35 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 4 minutes
• On-Demand
• Free Online Course (Audit)

Resilience & Leadership: Tools, Methods, & Applications

Practical tools and methods for applying resilience concepts in crisis scenarios, focusing on systems thinking, crisis management, and leadership skills for effective disaster response.

• Coursera
• 1 day 7 hours 20 minutes
• On-Demand
• Free Online Course (Audit)

Numerical Analysis

Explore differential equations, numerical integration, and root-finding methods using software tools. Learn practical techniques for solving complex mathematical problems in engineering and science.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Engineering Genetic Circuits: Abstraction Methods

Learn techniques for simplifying and analyzing genetic circuit models, including reaction-based abstraction, piecewise approximations, Markov chains, state-based abstraction, and stochastic model checking.

• Coursera
• 17 hours 38 minutes
• On-Demand
• Free Online Course (Audit)

Multidisciplinary Research Methods for Engineers

Engineering is no longer limited to working in a single domain; nowadays engineers increasingly work in multidisciplinary fields. After this course you will be able to carry out all stages of multidisciplinary research using appropriate research methods.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Software Design Methods and Tools

155 ratings at Coursera

Learn software design tools and techniques, including UML modeling, unit testing, and ethical considerations for developers. Enhance your design skills and professional responsibilities.

• Coursera
• 13 hours 57 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to optimization on smooth manifolds: first order methods

Learn to optimize on smooth, nonlinear spaces: Join us to build your foundations (starting at "what is a manifold?") and confidently implement your first algorithm (Riemannian gradient descent).

• edX
• 6 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Path Integral Methods in Atomistic Modelling

Explore quantum effects in atomic systems using path integral methods. Learn advanced techniques for molecular dynamics, sampling, and rate theory from leading experts.

• edX
• 5 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)