Overview
Mathematical models are used to understand, predict and optimize engineering systems. Many of these systems are deterministic and are modeled using differential equations. Others are random in nature and are analyzed using probability theory and statistics.
This Engineering Mathematics II course at IDC Technologies provides an introduction to differential equations and their solutions and to probability and statistics, and relates the theory to physical systems and simple real world applications.
After completing this course, students will have professional knowledge to derive mathematical models of physical systems and solve differential equations using appropriate methods.
Who Should Complete This Course
- Engineers of all disciplines
- Team leaders
- Subject matter experts
- Project managers
- Supervisors
- Analysts
Programme Structure
Course include:
- First Order Ordinary Differential Equations
- Second Order Ordinary Differential Equations
- Higher Order Linear Odes
- System Odes
- Series Solutions of Odes
- Laplace Transforms
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Mathematics Applied Mathematics General Engineering & TechnologyAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- For more information please visit the company's website
Tuition Fee
To alway see correct tuition fees
-
International
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 1 days. -
National
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 1 days.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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