Regalia Marine in collaboration with Tangier Int'l
Regalia and Tangier Workshop
This workshop will explore how Maplesoft empowers engineers, scientists as well as financial analysts to tackle real life challenges in robotics, mathematics, physics, engineering, sciences, and even financial modeling.
Application Deadline
January 30th, 2025
Progamme Duration
Feb 10th - Feb 14th
Time
8:30am - 4:00pm Daily
Location
Zoom Meeting
"What you'll be learning
Advanced computational fluid dynamics: Using Maple for Precision Modelling and AnalysisParticipants will explore how to model and analyze fluid flow, turbulence, and heat transfer with precision
Numerical Implementation of ODEs using MAPLEThis course covers the application of MAPLE’s symbolic manipulation and numerical calculation capabilities to implement Ordinary Differential Equations (ODEs)
Differential EquationsThis session will guide participants through solving both linear and nonlinear equations, enabling them to analyze problems in fields such as wave mechanics, thermal dynamics, and structural analysis
RoboticsEngineers and researchers will gain insights into optimizing robotic functionality and performance
Temperature Control of HVAC in Building DesignThis course involves modelling the thermal dynamics of buildings accounting for heat transfer, internal heat sources and ventilation
Solving Ordinary & Partial Differential Equations with Machine Learning using Maple 2024This session introduces a novel approach to solving differential equations by integrating machine learning techniques with MAPLE’s in-built tools and workflow
Overview of Maplesim SoftwareParticipants will gain an understanding of system-level modeling and simulation using MapleSim.
"Who should participate in this training
This programme is open to :
1. Science, engineering and finance students
2. Graduates and post graduates
3. Professionals and researcher.
"About Maple Soft
Maplesoft is a Canadian company and a world leader in developing advanced computational tools. Its products are widely used in academia, research, and industry globally for solving complex problems in science, mathematics, and engineering.