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Simulation is a top technology used in engineering and science. This course will cover everything you need to know to hit the ground running on real-world simulation projects.

Simulation can be used to model everything from call centre operations, manufacturing centres, traffic flow, physical phenomena (such as the weather), even the propagation of a disease through a population. In this course, you’ll learn general modelling skills, powerful simulation programming tools, and mathematics and statistical analysis techniques.


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.


Edukite courses are free to study. To successfully complete a course you must submit all the 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 Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success


Course Credit : Georgia Institute of Technology.

Course Curriculum

Lesson 1
Getting to Know You 00:10:00
Syllabus 00:10:00
Whirlwind Tour 00:12:00
Whirlwind Tour – History 00:10:00
What Can We Do For You? 00:10:00
Some Baby Examples 00:10:00
More Baby Examples 00:10:00
Generating Randomness 00:10:00
Simulation Output Analysis (OPTIONAL) 00:10:00
Lesson 2
Calculus Primer (OPTIONAL) 00:10:00
Saved By Zero! Solving Equations (OPTIONAL) 00:10:00
Integration (OPTIONAL) 00:10:00
Integration Computer Exercises (OPTIONAL) 00:10:00
Probability Basics 00:10:00
Simulating Random Variables 00:10:00
Great Expectations 00:10:00
Functions of a Random Variable 00:10:00
Jointly Distributed Random Variables 00:16:00
Conditional Expectation (OPTIONAL) 00:20:00
Covariance and Correlation 00:17:00
Probability Distributions 00:10:00
Limit Theorems 00:10:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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