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Day 1 1
Functions (including Exponential and logarithmic functions)
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Day 2 5
Functions (including Exponential and logarithmic functions)
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                Identify the features of a function including odd/even, domain, range .etcLecture2.1
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                Linear, quadratic, cubic and other simple functionsLecture2.2
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                Transformations and graphing of functionsLecture2.3
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                Exponential and logarithmic functionsLecture2.4
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                Exam-style practice problemsLecture2.5
 
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Day 2 5
Calculus
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                Gradients of tangentsLecture3.1
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                Differentiate from the first principle and derivative lawsLecture3.2
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                Product rule, chain rule and quotient ruleLecture3.3
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                Applications of calculus (rate of change)Lecture3.4
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                Exam-style practice problemsLecture3.5
 
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Day 3 4
Calculus/sequences and series
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                IntegrationLecture4.1
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                Definite and indefinite integrals and areasLecture4.2
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                Arithmetic/geometric sequences and seriesLecture4.3
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                Exam-style practice problemsLecture4.4
 
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Day 4 5
Financial mathematics/trigonometry
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                Modelling investments and loansLecture5.1
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                Financial applications of sequences and seriesLecture5.2
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                Reciprocal trigonometric functions & graphsLecture5.3
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                Pythagorean identities and proofLecture5.4
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                Exam-style practice problemsLecture5.5
 
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Day 5 5
Trigonometric functions/probability
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                Solve harder trigonometric equationsLecture6.1
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                Transformations of trig graphsLecture6.2
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                Probability and Venn diagramsLecture6.3
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                Discrete probability distributionsLecture6.4
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                Exam-style practice problemsLecture6.5
 
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Day 6 5
Statistical analysis/revision
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                Summary statistics(Pareto charts, cumulative frequency distribution tables, box-plots and two-way tables)Lecture7.1
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                Bivariate data analysisLecture7.2
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                Pearson’s correlation coefficientLecture7.3
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                Continuous random variablesLecture7.4
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                Normal distributionLecture7.5
 
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