Podcast
Questions and Answers
The ______ can be seen in the garden.
The ______ can be seen in the garden.
flowers
The ______ is shining brightly in the sky.
The ______ is shining brightly in the sky.
sun
The ______ is filling the air with its sweet scent.
The ______ is filling the air with its sweet scent.
perfume
The ______ flows gently through the valley.
The ______ flows gently through the valley.
The ______ stands tall against the skyline.
The ______ stands tall against the skyline.
Flashcards
Photosynthesis
Photosynthesis
The process by which living organisms, including plants, obtain and use energy from sunlight to create their own food.
Chloroplast
Chloroplast
A type of specialized plant cell that contains chlorophyll, responsible for absorbing sunlight and carrying out photosynthesis.
Chlorophyll
Chlorophyll
A pigment found in chloroplasts that absorbs sunlight, specifically red and blue wavelengths, for use in photosynthesis.
Light-dependent reactions
Light-dependent reactions
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Light-independent reactions (Calvin Cycle)
Light-independent reactions (Calvin Cycle)
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Study Notes
Module 1: Modelling and Simulation Concepts
- This module is divided into six units
- Unit 1: Basics of Modelling and Simulation
- Unit 2: Random Numbers
- Unit 3: Random Number Generation
- Unit 4: Monte Carlo Method
- Unit 5: Statistical Distribution Functions
- Unit 6: Common Probability Distributions
Unit 1: Basics of Modelling and Simulation
- Introduction
- Intended Learning Outcomes (ILOs)
- Definitions
- What is Modelling and Simulation?
- Types of Models
- Advantages of Using Models
- Applications
- Modelling Procedure
- Self-Assessment Exercise(s)
- Conclusion
- Summary
- Further Readings
Unit 2: Random Numbers
- Introduction
- Intended Learning Outcomes (ILOs)
- Random Number
- QBasic RND Function
- Random Number Generators
- Properties of a good random number generator
Unit 3: Random Number Generation
- Random Number
- Pseudorandom Number Generation
- Simulation of randomness
- Example of QBasic program
Unit 4: Monte Carlo Methods
- Introduction
- Intended Learning Outcomes (ILOs)
- Overview of Monte Carlo Method
- History of Monte Carlo Method
- Applications of Monte Carlo Methods
- Self-Assessment Exercise(s)
- Conclusion
- Summary
- Further Readings
Unit 5: Statistical Distribution Functions
- Introduction
- Intended Learning Outcomes (ILOs)
- What is Statistics?
- What is a Statistical Distribution?
- Measures of Central Tendency
- Measures of variation
- Showing data distribution in graphs
- Normal Distribution
- Standard Normal Distribution
- The difference between a continuous and a discrete distribution
- Skewed distributions μ
- What is a percentile?
- Probabilities in discrete distributions
- Probability and the normal curve
- Self-Assessment Exercise(s)
- Conclusion
- Summary
- Further Readings
Module 2: Modelling and Simulation Concepts
- Module Introduction
- Unit 1: Simulation and Modelling
- Unit 2: Modelling Methods
- Unit 3: Physics-Based Finite Element Model
- Unit 4: Statistics for Modelling and Simulation
- Simulation and Modelling
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