I have over 10 years teaching experience as a teacher of Mathematics, 2-years as a teacher of ICT,
acquired experience with SEN.
I am also a member of the board of the Oxford and Cambridge Assessment Specialist Team
(CIE/OCR/AQA Assistant Examiner).
Besides, my experiences with the St Benet Biscop Catholic Academy (Secondary Teacher of
Mathematics); Newcastle Royal Grammar School- (Secondary Mathematics, IGCSE and A-Level
Visiting Lecturer).
Sunderland College -GCSE Mathematics Lecturer
I have over 10 years teaching experience as a teacher of Mathematics, 2-years as a teacher of ICT,
acquired experience with SEN.
I am also a member of the board of the Oxford and Cambridge Assessment Specialist Team
(CIE/OCR/AQA Assistant Examiner).
Besides, my experiences with the St Benet Biscop Catholic Academy (Secondary Teacher of
Mathematics); Newcastle Royal Grammar School- (Secondary Mathematics, IGCSE and A-Level
Visiting Lecturer).
Sunderland College -GCSE Mathematics Lecturer
This KS 3 Board Work on Enlargement and Scale Factor is a very good and effective teaching materials to help aid your students in Transformation. Hope you will find the resources quite useful
This is a complete lesson on Construction. The Learning resource contains Macros and ActiveX control for effects and interactive session. It’s a very rich lesson design with the following sub-topics:
Drawing Lines and Angles.
Construction of Triangles
Construction of Line s and Angles
Constructing Nets
And Life Applications.
I believe you will like to explore the beauty of the Board Works on Construction.
Thanks.
Aluko Sayo Enoch
Do you know? Calculus is used to improve the architecture not only of buildings but also of important infrastructures such as bridges.
In Electrical Engineering, Calculus (Integration) is used to determine the exact length of power cable needed to connect two substations, which are miles away from each other
Physics Engines, Signal & Image Processing, Computer Vision, Information Theory
In calculus, and more generally in mathematical analysis, integration by parts or partial integration is a process that finds the integral of a product of functions in terms of the integral of the product of their derivative and anti-derivative.
* Presentation – Complete video for teachers and learners on Integration by Part
* IGCSE, GCSE, IB, AP Practice Revision Exercise which covers all the related concepts required for students to unravel any Exam Style Integration by Part Questions
* Learner will be able to say authoritatively that:
I can complete any given problem on Integration by part: ranging from ‘O’-Level questions to the PhD level using the LIATE-principle.
LIATE is a guide to help you decide which term to differentiate and which term to integrate. L = Log, I = Inverse Trig, A = Algebraic, T = Trigonometric, E = Exponential. The term closer to E is the term usually integrated and the term closer to L is the term that is usually differentiated.
I can apply my knowledge of calculus to any given function
GCSE-Advance Level, IB-HL, HSC,H1/H2/H3-Level - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Probability and Statistics Questions
* Presentation – Complete video for teachers and learners on Probability and Statistics
* AL-GCSE Practice Revision Exercise which covers all the related concepts required for students to unravel any Advanced Level Exam Style Probability and Statistics Questions
* Learner will be able to say authoritatively that I can complete any S1 problems on:
Histograms and Cumulative Frequency, Averages, Measures of Dispersion, Box and Whisker Diagrams, Probability, Linear Regression, Skewness, Product Moment Correlation Coefficient, Discrete Random Variables, Expectation and Variance, Discrete Uniform Distribution, Normal Distribution, Binomial Distribution, Poisson Distribution, Continuous Random Variables, Uniform Distribution, Normal Approximations, Sampling, Hypothesis Testing, One and Two Tailed Tests, Random Samples, Estimators, Central Limit Theorem, Confidence Intervals, Geometric Distribution, The Exponential Distribution, Bayes Theorem and Permutations and Combinations.
Do you know? Probability plays a vital role in the day to day life. In the weather forecast, sports and gaming strategies, buying or selling insurance, online shopping, and online games, determining blood groups, and analyzing political strategies
Similarly, Statistics is the mathematical science involving the collection, analysis and interpretation of data? It plays a crucial role in every field of human activity. They are numerically expressed facts to represent and speculate the samples using logical reasoning. Statistics is a varied subject, and there are many other uses of it in different fields related to daily human activities. Few other examples are weather forecasting; communicate information, data analysis, etc. If you are a statistics student, then you can decide your field you want to opt for according to your interest. Statistics are used behind all the medical study. Statistic help doctors keep track of where the baby should be in his/her mental development. Almost all fields of science such as biology, chemistry, physics, etc., use statistical methods for experimenting and analyzing their results
Do you know? Functions are everywhere where technology is, literally.
But since the world is now crazy about machine learning, let me mention this one: machine learning is all about learning a function. For instance:
mapping images to the names of the people on the images,
mapping digital songs to authors/genres/song name,
mapping MRI scan data to medical diagnoses,
mapping Question’s answers to subjects/categories,
mapping internet clicks to advert suggestions.
Consequently, machine learning is now used also to find better representation of the input itself (this is called representation learning).
* GCSE, IGCSE, AP, PSAT, and IB - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Function Questions
* Learner will be able to say authoritatively that I can complete:
Any Function question on:
Mappings
Functions Definition
Composite and Inverse Function
Modulus functions
Graph of Function and its Inverse
Application of functions to real life situations.
Centralized data management. One crucial aspect of payroll software is the ability to consolidate employees’ data in one place. Your employees’ personal records: This Payroll Management System is prepared by Aluko Sayo Enoch, as an opportunity to share my love for learning with an entire generation of thinkers and leaders; providing entrepreneurial platform via ICT based on the contemporary Technology
Procedure: You can input new name and the entry level for a newly employed personal, consequetly the basic salary, allowance and equivalent payment information will be automated by the program. For more info or comment, log on:
www.alukosayoenoch.wix.com/selfcoding
Tel: +2348025358881, +2348033599440 www.unilag.academia.edu/SayoAluko/Papers
Do you know? Functions are everywhere where technology is, literally.
But since the world is now crazy about machine learning, let me mention this one: machine learning is all about learning a function. For instance:
mapping images to the names of the people on the images,
mapping digital songs to authors/genres/song name,
mapping MRI scan data to medical diagnoses,
mapping Question’s answers to subjects/categories,
mapping internet clicks to advert suggestions.
Consequently, machine learning is now used also to find better representation of the input itself (this is called representation learning).
* GCSE, IGCSE, AP, PSAT, and IB - Exam Style Questions which covers all the related concepts required for students to unravel any International Exam Style Function Questions
* Learner will be able to say authoritatively that I can complete:
Any Function question on:
Mappings
Functions Definition
Composite and Inverse Function
Modulus functions
Graph of Function and its Inverse
Application of functions to real life situations
This research work deals with the procedures for computing the presence of outliers using various distance measures and general detection performance for unsupervised machine learning, such as the K-Mean Clustering Analysis and Principal Component Analysis. A comprehensive evaluation of Data Mining Technique, Machine Learning and Predictive modeling for Unsupervised Anomaly Detection Algorithms on Electronic banking transaction dataset record for over a period of six (6) months, April to September, 2015 consisting of 9 variable data fields and 8,641 observations was used to carry out the survey on fraud detection. On completion of the underlying system, I can conclude that integrated techniques systems provide better performance efficiency than a singular system. Besides, in near real-time settings, if a faster computation is required for larger data sets, just like the unlabeled data set used for this research work, clustering based method is preferred to classification model.
Creating and Simulating a Binomial Distribution Density Function and Distribution Graph Model using Excel Package
Teaching and learning and many opportunities for its application have yet to be explored. Spreadsheet software is one of the most-used technologies for collecting, computing, and displaying data. Spreadsheets contain a rectangular array of cells in rows and columns that can hold data. Users can create business models, graphs and charts, and reports for financial, statistical, or other data. Most spreadsheet software allows a user to access real-time data from Web sites and to collaborate across teams and workgroups.
Suppose an experiment has the following characteristics:
the experiment consists of n independent trials, each with two mutually exclusive outcomes (success and failure)
for each trial the probability of success is p (and so the probability of failure is 1 – p)
Each such trial is called a Bernoulli trial. Let x be the discrete random variable whose value is the number of successes in n trials. Then the probability distribution function for x is called the binomial distribution, B(n, p), and is defined as follows:
Where, C(n, x) = and n! = n(n–1)(n–2)⋯3∙2∙1 as described in Combinatorial Functions.
This Binomial Distribution Simulation Model is prepared by Aluko Sayo Enoch, as an opportunity to share my love for learning with an entire generation of thinkers and leaders; providing entrepreneurial platform via ICT based on the contemporary Technology
Procedure: You can vary the value of p to generate new q, probability density function and equivalent distribution graph. For more info or comment, log on:
https://alukosayoenoch.wixsite.com/selfcoding/blog
www.unilag.academia.edu/SayoAluko/Papers
https://www.tes.com/teaching-resources/shop/alukosayoenoch
https://www.youtube.com/feed/my_videos