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

Assessment Task                    Task Type         Weightage

Individual problem solving               Formative                  30%

SDL &assignments                           Formative                  10%

Group problem solving                     Formative                   10%

Examination                                     Summative                  50%

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