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ITECH1400 Foundations Of Programming Assignment - Biorhythms: Theory & Practice, Federation University, Australia
Learning Outcomes -
K1. Identify and use the correct syntax of a common programming language.
K2. Recall and use typical programming constructs to design and implement simple software solutions.
K3. Reproduce and adapt commonly used basic algorithms.
K4. Explain the importance of programming style concepts (documentation, mnemonic names, indentation)
S2. Write and implement a solution algorithm using basic programming constructs.
S3. Demonstrate debugging and testing skills whilst writing code.
A1. Develop self-reliance and judgement in adapting algorithms to diverse contexts.
A2. Design and write program solutions to identified problems using accepted design constructs.
In this assignment you will provide a Python script which will calculate the Biorhythms for any individual and present the data graphically using libraries and a common algorithm.
Solution - Biorhythm and Pseudo code
Introduction
In this report, there will be enunciation of the Biorhythm that was invented in 19th century. The report has been demonstrated according to the coding of the PSEUDO Code and its utilisation in the sports department. The report has given relevant code and algorithms to support the logic of Pseudo Code and Algorithms in utilising in sports other fields as well.
Biorhythm
The graph which represents the future predictions related to various aspects is called biorhythm graph. This graph is used to predict the future positive and negative possibilities of an individual. Biorhythm is not always true but it isn't false also. It runs on mathematical calculations and sine wave functions. Biorhythm was discovered in the late 19th century and was used in many predictions in a person life, it was the theory developed by Wilhelm Flies, therefore stating ideas widely in the United States. The dominance of Biorhythms came in the year 1970 in the United states (Biorhythm-calculator.net, 2019).
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Curves
The curves in the biorhythm graph represents predictions of one's life. Another name of these curves are oscillating waves. The curves represents the three sine waves, i.e. physical curve, emotional curve and the intellectual curve. Each sine wave has different wavelengths but similar amplitudes. The wavelengths represents the days such as the wavelength of the physical wave is 23, the wavelength of the emotional wave is 28 and the wavelength of the intellectual wave is 33. These curves represents the life of one's individual on various aspects of life.
Algorithm/Pseudo-code
1. Two waves are feed in the script.
2. Range is set using an array in a variable.
3. The first sine wave i.e. Physical wave is determined at 23 wavelength.
4. The second sine wave i.e. Emotional wave is determined at 28 wavelengths.
5. The third sine wave i.e. Intellectual wave is determined at 33 wavelength.
6. The curves are plotted onto the graph.
7. Legend is created on the graph.
8. The graph is presented as the output.
Code
Output
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Features
There are total three curves in the biorhythm graph. The red curve represents the physical wave. The blue curve represents the emotional wave. The yellow curve represents the intellectual wave. All the three waves are plotted using different colours for easy differentiation for the user.
Discussion
The script is written purely in python language. NumPy module and the Matplotlib module is used for the graphical visualization of the biorhythm graph. A total of three sine waves which represents three very different cycles are presented in the biorhythm graph. When a curve hits high on the graph, it means that during that duration the time is pleasant for the user to make decisions and achieve greater success. Similarly, when a curve hits low on the graph, it means that during that duration the time is not pleasant for the user to make any important decisions. The sine waves are calculated using different wavelengths but their amplitude is same. All the curves are plotted on the graph using different colours to make the visualization and understanding easier of the user. The biorhythm graph is almost true.
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