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Unit code: R/617/6693 RQFLevel: 4
Unit AimsThis unit aims to provide an opportunity to learn mathematics and statistics and equip learners with the mathematical skills to analyse and solve problems that will enable them to work within the field of IT. The unit covers number systems, logic, relations, functions, quadratic equations, quadratic functions, simultaneous equations, polynomial equations, exponential functions, logarithmic functions, coordinate geometry and matrices. The unit provides an opportunity to learn statistics and equip learners with the descriptive and analytical methods for dealing with variability in observed data. It covers graphical presentation of data, descriptive statistics, index numbers, correlation and regression, time series, probability and statistical inference.
Learning Outcomes and Assessment Criteria
Learning Outcomes: To achieve this unit, the learner must be able to:
Assessment Criteria: Assessment of these outcomes demonstrates the learner can:
1. Understand the mathematics underpinning information technology
1.1 Explain the nature of the roots of quadratic equations, the rules of exponents and logarithms and a function1.2 Explain the relationship between a domain, range and function1.3 Rewrite an exponential equation in logarithmic form and a logarithmic equation in exponential form1.4 Compute maximum and minimum values of quadratic functions, composite functions, inverse functions, the area of a polygon, the equation of a straight line, locus, measures of central tendency and measures of dispersion and probability1.5 Analyse the impact of quadratic inequalities, polynomial equations, exponential equations, logarithmic equations and simultaneous equations on hardware design
2. Understand the statistics underpinning information technology
2.1 Calculate summary measures correctly2.2 Define and interpret probability models2.3 Evaluate methods of estimation and hypothesis testing2.4 Analyse the concepts of statistical methodologies
Recommended TextLan Foo Huat, Yong Kien Cheng (2017) Essential SPM Additional Mathematics, Sasbadi WongPek Wei, Dr. Wong Sin Mong (2016) Success Additional Mathematics SPM, Oxford FajarJ.S. Ratti, Marcus S. McWaters (2015) College Algebra and Trigonometry, 3rd Edition, AddisonWesley Judith A. Beecher, Judith A. Penna, Marvin L. Bittinger, (2016) Algebra and Trigonometry, 5th Edition, Addison WesleyAllan G. Bluman (2015) Elementary Statistics A Step by Step Approach, 9th Edition, McGraw HillPrem S. Mann (2017) Introductory Statistics, 9th Edition, John Wiley & SonsAllan G. Bluman (2017) Elementary Statistics A Step by Step Approach, 10 Edition, McGraw Hill
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