## 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

## 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
• 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