## Course Outline

Courses

Aims and objectives

Aim

To provide undergraduate medical training to become competent basic doctor

Objectives

At the end of the course: the student should be able to;

Knowledge

acquire a basic knowledge of mathematics which will later be useful in its application to medical sciences.

Skill

develop skills in computing methods and techniques associated with information on practical work and research.

Attitude

achieve a habit of going through a process of logical thinking by training in mathematical reasoning and thus make correct decisions suitable to circumstances.

Programme  Structure

 Sr. No. Learning  Outcome Content Teaching /  Learning Method Teaching / Learning Media Time Allotment Assessment I -be  able  to    know   the    concept  of    statement - be  able  to    realize   relation   among statement     using   logical  connectives - be  able  to  find     out  opposition     of  quantified     statement .Mathematical  Logic -Statement and     Truth   value -Truth table  of   proposition -Logical Equivalence -Validity  of  an    argument -Quantifiers   Statement LG Lecture SG Discussion -Whiteboard    & Marker - Cordless   Microphone & Amplifier - Overhead    Projector - Computer - Handouts - LCD LG 2 hrs SG 2 hrs Individual Problem solving Group  Problem solving II - be  able  to    apply  the      fruitfulness  of     permutation and     combination  in    order  to  solve    problems     concerning    probability  - be  able to know     the  notion   conditional    probability    involving   independent  and  dependent  event- -be  able  to    apply  Baye’s   theorem when   calculating   screening test   result Probability -Fundamental   Principle -Permutation  and  Combination -connection  of Permutation and Combination -Conditional     Probability,   independent  and   dependent -Bayes’  Theorem LG Lecture SG Discussion -Whiteboard and  Marker - Cordless  Microphone and Amplifier - Overhead Projector - Computer -Handouts -LCD LG 4 hrs SG 6 hrs Individual Problem solving Group  Problem solving III -be able to   construct  histograms using given   frequency   distribution -be able to   compute  percentage  ogive for given   frequency distribution -be able to   calculate  and    interpret   measure  of central tendency , such as the   mean, median   and mode   -be able to   calculate and   interpret    measure  of   dispersion,   such as the range, variance and standard deviation. Statistics -Class mark,   Class limit,Class   boundary, Class   width, Relative and   cumulative     frequency,    Histogram,   Polygon& Ogive -Mean,Media   ,Mode,  Quartile Decile,Percentile, Semi interquartile   range, Mean   deviation   Variance and     Standard   deviation  of    the frequency   distribution LG Lecture SG Discussion -Whiteboard and  Marker - Cordless   Microphone  & Amplifier - Overhead   Projector - Computer - Handouts - LCD LG 3 hrs SG 4 hrs Individual Problem solving Group  Problem solving IV -be able to   construct  Distribution table  of discrete random variable -be able to   calculate the expectation,   variance , cumulative,  median and some result of discrete random variable Discrete  Probability Distribution -Discrete  Probability    Distribution -Mean, variance,  cumulative  distribution function and   median LG Lecture SG Discussion -Whiteboard and  Marker - Cordless   Microphone & Amplifier - Overhead    Projector - Computer - Handouts - LCD LG 2 hrs SG 2 hrs Individual Problem solving Group  Problem solving V -be able to    explain  the   particular  of    discrete    probability    distribution -be able to   calculate the   expectation,    variance ,  cumulative and   median   of binomial    distribution Binomial Distribution -Binomial    notation and       number of    arrangements -Conditional for    the  binomial   distribution -Parameter  of  the     binomial   distribution  -Mean, Variance  and standard   deviation of      binomial   distribution LG Lecture SG Discussion -Whiteboard and  Marker - Cordless  Microphone and Amplifier - Overhead Projector - Computer -Handouts -LCD LG 1 hrs SG 2 hrs Individual Problem solving Group  Problem solving VI -be able to   explain the  similarities and     differences  between   binomial    distribution and  Poisson  distribution  and when  the  used of each is  appropriate -be able to   calculate the    expectation,   variance ,    cumulative and   median of   Poisson   distribution Poisson  Distribution -Exponential   series  and  Poisson    distribution -Conditional for a     Poisson     distribution -The mean,   variance and     standard  deviation of Poisson   distribution -The Poisson   approximation of     Binomial   distribution LG Lecture SG Discussion Whiteboard and  Marker - Cordless  Microphone and Amplifier - Overhead Projector - Computer -Handouts -LCD LG 2 hrs SG 4 hrs Individual Problem solving Group  Problem solving VII -be able to   know  concept    integration  as    an  inverse    function  of    derivative - be able  to   calculate   the    sum  of     continuous     random       variable  use      integration     formulae   and    to   produce      properties  of      integration - be  able  to     evaluate  areas    under  smooth    curves -be able to   derive the    expectation,   variance,    cumulative    continuous    distribution   function,    median and     some result Continuous  Probability Distribution -Integration    Formula -Properties  of    integral -Constant  of    integration -Method  of    Substitution  and   integration  by     parts -Area  under  the    Curve -Continuous   Probability   Distribution -Mean, variance,     cumulative   distribution    function and    median LG Lecture SG Discussion -Whiteboard and  Marker - Cordless  Microphone and Amplifier - Overhead Projector - Computer -Handouts -LCD LG 4 hrs SG 6 hrs Individual Problem solving Group  Problem solving VIII -be able to  decide when  to use the  continuous  uniform  distribution - be able to   transform to    standard   normal  distribution  from normal   distribution -be  able to   calculate  the   probability     and effective   interval, use  in   decision      making. Normal  Distribution  -Continuity   correction -Nature  of  Normal Curves -Transform  to    the standard   normal    distribution -Function of   standard normal   distribution -Used of the   standard normal   table LG Lecture SG Discussion -Whiteboard and  Marker - Cordless  Microphone and Amplifier - Overhead Projector - Computer -Handouts -LCD LG 2 hrs SG 4 hrs Individual Problem Solving Group  Problem Solving LG 20hrs SG 30 hrs

Assessment Summary