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                                               MA30213 Applied Mathematics

               Supplementary Subject                                                   Learning area of Mathematics
               Level M.6   Semester 1                                                         60 periods: 1.5 credits

                     The learning area of this course is aimed at introducing the foundations of calculus. Topics include
               the study of limits, derivatives, definite and indefinite integrals, and the Fundamental Theorem of Calculus.
               This  course  also  provides  an  introduction  to  probability  theory,  random  variables  and  probability
               distributions of random variables. Students will be able to apply mathematical concepts and principles to
               identify and solve problems and develop their thinking skills towards the 21st century.
                     The teaching procedures introduced in this course focus on the mathematical learning process;
               lectures by the teacher; collaborative learning groups; student-led facilitation of topics; online learning;
               games;  and  activities  in  order  to  allow  students  to  develop  themselves  to  their  highest  potentiality.
               Throughout the course, students should be able to use mathematical skills, including the ability to use
               technology, critical thinking and problem solving to become well-rounded and fully developed in all
               respects; physically, intellectually, emotionally and socially.

                     The  course  also  enables  students  to  instill  the  desirable  characteristics,  including  honesty  and
               integrity; self-discipline; avidity for learning; dedication and commitment to work; public-mindedness; and
               being healthy and well-balanced.

               Course Learning Outcomes
                   1.  Calculate the limit of a function of two variables, understand that a function of two variables can
                      approach different values at a boundary point, depending on the path of approach.
                   2.  Know the conditions for continuity of a function of two variables and verify the continuity of a
                      function of two variables at a point.
                   3.  Understand that the gradient at a point is the limit of the gradients of a suitable sequence of chords;
                      use the notation for the first and second derivatives.
                   4.  Use  the  power  rule  of  differentiation  together  with  constant  multiples,  sums,  differences  of
                      functions, and of composite functions using the chain rule.
                   5.  Apply differentiation to gradients, tangents, normals and apply differentiation to increasing and
                      decreasing functions and to identify stationary points.
                   6.  Understand  integration  as  the  reverse  of  differentiation,  and  integrate  (ax+b)n,  together  with
                      constant multiples, sums and differences..
                   7.  Solve problems involving the evaluation of a constant of integration and evaluate definite integrals.
                   8.  Use definite integration to find the area of a region bounded by a curve and a line, find the volume
                      of revolution of a curve about the x or y axes.
                   9.  Construct a probability distribution table for a discrete random variable; calculate the expectation
                      value and variance of a discrete random variable.
                   10. Know the conditions for a discrete random variable to follow a binomial distribution, calculate
                      binomial probabilities and find the expectation and variance of a binomial distribution.
                   11. Know the conditions for a continuous random variable to follow a normal distribution and how to
                      use the normal distribution to approximate the binomial distribution.
                   12. Use the normal distribution table to find probabilities and identify the critical values of a given
                      normal distribution.
               Total:  14 Learning Outcomes

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