Aerospace engineering is the specific field of engineering involved in the prime development of aircraft and spacecraft. You need to learn the numerical and computational methods techniques which are needed in this aerospace and spacecraft field. See More: https://bit.ly/2G04MZx

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Aerospace Engineering Diploma
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Aerospace engineering is the speci c eld of engineering involved in the prime development of
aircraft and spacecraft. You need to …
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LEVEL 3 - DIPLOMA
COURSE BADGE
COURSE CERTIFICATE
19NUMBER OF UNITS
0NUMBER OF QUIZZES
20 HOURS, 16 MINUTES
HOME CURRICULUM REVIEWS
Aerospace engineering is the speci c eld of engineering involved in the prime development of
aircraft and spacecraft. You need to learn the numerical and computational methods techniques
which are needed in this aerospace and spacecraft eld.
In this Aerospace Engineering Diploma, you will know its applications that are from different
structures, dynamics, controls, and equations. You will learn methods for quantifying the impact of
variability in Aerospace Engineering and other aerospace theories.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to
complete the course, the answers will be in the form of written work in pdf or word. Students can
write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers
are submitted, the tutor will check and assess the work.
Certification
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assignment of the course as part of the assessment. Upon successful completion of a course, you can
choose to make your achievement formal by obtaining your Certi cate at a cost of £49.
Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can:
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Course Credit: MIT
COURSE CURRICULUM

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Session 1: Course Introduction and Ordinary Differential Equations(ODEs) 00:22:00
Session 2: Numerical Integration of ODEs: Approximating time derivative 01:51:00
Session 3: Numerical Integration of ODEs: Accuracy and a pendulum
problem
01:52:00
Session 4: Numerical Integration of ODEs: Stability and a ballistics problem 00:49:00
Session 5: Numerical Integration of ODEs: Nonlinear Systems 01:52:00
Session 6: Numerical Integration of ODEs: Stiffness, Implicit Methods,
Runge-Kutta
01:04:00
Session 7: Numerical Methods of Partial Differential Equations:
Introduction
01:03:00
Session 8: Numerical Methods of PDEs: Finite Difference Methods 1 01:15:00
Session 10: Numerical Methods of PDEs: Finite Volume Methods 1 01:13:00
Session 11: Numerical Methods of PDEs: Finite Volume Methods 2 01:02:00
Session 12: Numerical Methods of PDEs: Finite Volume in 2D and Midterm
Review
01:17:00
Session 15: Numerical Methods of PDEs: Collocation and Weighted
Residuals
01:18:00
Session 16: Numerical Methods of PDEs: Finite Element Method 1 00:16:00
Session 21: Probabilistic Methods & Optimization: Statistical sampling
methods
01:16:00
Session 23: Probabilistic Methods & Optimization: Intro to design
optimization I
01:20:00

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Session 24: Probabilistic Methods & Optimization: Intro to design
optimization II
01:16:00
Session 25: Probabilistic Methods & Optimization: Final exam review 01:10:00
Assessment
Submit Your Assignment 00:00:00
Certi cation 00:00:00
COURSE REVIEWS
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