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. 
: SF14 
Telephone No. 
: 0453453071 

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 Geostatistical 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 
SelfLearning (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% 