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Probability and Simulation
Free
Probability and Simulation

Probability and Simulation. .

0

Description

Course Overview

Probability is used to quantify an attitude of mind towards some proposition of whose truth we are not certain. The proposition of interest is usually of the form “Will a specific event occur?” The attitude of mind is of the form “How certain are we that the event will occur?” The certainty we adopt can be described in terms of a numerical measure and this number, between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty), we call probability. Thus the higher the probability of an event, the more certain we are that the event will occur. A simple example would be the toss of a fair coin. Since the 2 outcomes are deemed equiprobable, the probability of “heads” equals the probability of “tails” and each probability is 1/2 or equivalently a 50% chance of either “heads” or “tails”.

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Lessons

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Give an insight into the different approaches to Probability Theory.

What is a Random Variable? How is it characterized?

Explain the fundamental rules of probability.

What is a Probability Distribution? What are the different types of probability distributions?

What is Set theory? Is this relevant to business and management?

How are sets represented?

What are the typical operations performed on sets?

What is the importance of De Morgan’s law?

What is a function? Why is a function important?

Explain the different types of functions?

What is an algorithm?

Explain the concept of complexity of an algorithm.

What is a matrix? What are the application areas for matrices?

Describe the types of matrices commonly encountered.

What are the fundamental operations that are performed on matrices?

What are Determinants? What role do determinants play in matrix algebra?

How is the division operation carried out on matrices?

What is Logic, and what are the applications of this field?

Are there logic operations similar to mathematical operations?

Explain the concept of conditional statements.

What is the notion of Quantifier as applied to logic?

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