FC12325 Descriptive Statistics and Probability Distributions

FC12325 Descriptive Statistics and Probability Distributions

Course Outline

Course

:  FC 12325 –Descriptive Statistics and Probability Distributions

Core/Specialization

:  Core

Programme

:  Bachelor of Sciences Honours in Surveying Sciences

Department

:  Surveying & Geodesy

Faculty

:  Faculty of Geomatics

Contact Hours

:  150

Year

:  I

Semester

:  II

Prerequisites

:  A/L Combined Mathematics, FC11216, FC11221

Lecturer

:  Dr T. D. A. Gomesz

Room No.

:  SF-14

Telephone No.

:  045-3453071

E-mail

:  darshaka@geo.sab.ac.lk

 

Synopsis

This course is to:

  • Enable the student to understand the basic concepts of statistics and the important role of mathematics in understanding them and utilize the descriptive statistical methods to analysis the Geo-statistical data using standard statistical software
  • Enable the student to understand the concepts of probability, random variables, and their distributions in application

 

Contents

  • Presenting Data
  • Measures of Location
  • Measures of Spread
  • Studying Relationships
  • Introduction to Probability
  • Random Variables and their Distributions
  • Probability Distributions
  • Checking for Normality

Learning Outcomes

By the end of the course, students should be able to:

No.

Course Learning Outcome

Programme Outcome

Assessment Methods

1.

demonstrate the ability to use appropriate descriptive statistics in order to organize, summarize, and display data in a meaningful way

P01, P03, P05

Final Exam/ Assignments (class/lab)

2.

assign probabilities to simple events and use probability rules to calculate the probabilities of more complicated events

P01, P03

Final Exam/ Assignments (class/lab)

3.

understand the properties of typical probability models used in mathematical modeling and apply them in problem solving

P01, P02

Final Exam/ Assignments (class/lab)

4.

understand the concept of a random variable and its distribution, and find the distributions of functions of random variables

P01, P02

Final Exam/ Assignments (class/lab)

5.

perform exploratory data analysis and simple simulation using statistical software

P01, P03,P05

Final Exam/ Assignments (class/lab)

6.

demonstrate the communication skills effectively for oral and written reports

P02, P03, P07

Final Exam/ Assignments (class/lab)

 

Student Learning Time (SLT)

Teaching and Learning Activities

Student Learning Time (hours)

Directed Learning

Lectures and Student Centered Learning (SCL)

Lab work

20

35

Independent Learning

Preparation - Student centred learning activities

35

Self-Learning (Library & Internet)

35

Revision

17

Assessment

Assignments/ Lab Assignments

05

Final Report(presentation)

01

Final Examination

02

TOTAL (SLT)

150

 

Teaching Methodology

Lectures, Lab Practical,  and individual/group assignments

 

References

  • Introduction to Probability Theory, Paul G. Hoel, Sydney C. Port, and Charls J. Stone, Haughton Mifflin, Boston 1971.
  • A basic course in Statistics, Fourth Edition, G. M. Clark and D. Cooke, Arnold, London, 1998

 

Final Report

Students should demonstrate ability of the material learned in the course unit by completing a data analysis project, writing a formal report, and making a presentation

 

Grading

Continuous Assessments

Final Report  

Lab Assignments    

 

20%

30%

Final Examination

50%

Total

100%