A Course Identification and General Information
1. Course title and code Elements of Distribution Theory Stat 111 
2. Credit hours 3 
3. Program(s) in which the course is offered.
(If general elective available in many programs indicate this rather than list programs)
College of Computer Science 

5. Level/year at which this course is offered l 
6. Prerequisites for this course (if any) none St at 111 or 324

7. Corequisites for this course (if any) none

8. Location if not on main campus

B Objectives
1. Summary of the main learning outcomes for students enrolled in the course.
*Acquiring Knowledge of some methods of combinatory, some concepts of probability ,Bayes theorem ,random variables probability distributions expectations variances and moment generating functions ce.
*Acquiring cognitive skills through thinking ,problem solving and applying statistical tools..
*Acquiring numerical skills through computational work done in solving problems.
*Acquiring interpersonal and responsibility skills through discussions and solving assignments 
2. Briefly describe any plans for developing and improving the course that are being implemented. (eg increased use of IT or web based reference material, changes in content as a result of new research in the field)
.
SAS statistical package will be applied in teaching parts of the course.

C. Course Description (Note: General description in the form to be used for the Bulletin or Handbook should be attached)
1 Topics to be Covered

Topic 
No of
Weeks 
Contacthours 
Sets theory and Combinatorial

3 
6 
Probability and Bayes Theorem 
3 
6 
Random Variables

1 
2 
Probability Distributions

3 
6 
Joint Probability Distributions

1.5 
3 
Functions of Random Variables

1 
2 
Expectations, variances and moment generating function

2.5 
5 
2 Course components (total contact hours per semester): 
Lecture:
Credit hours: 45
Actual hours:30

Tutorial:
Credit hours:15
Actual hours:30 
Practical/Fieldwork/Internship:

Other: 
3. Additional private study/learning hours expected for students per week. (This should be an average :for the semester not a specific requirement in each week)
45 hours 
For each of the domains of learning shown below indicate:
· A brief summary of the knowledge or skill the course is intended to develop;
· A description of the teaching strategies to be used in the course to develop that knowledge or skill;
· The methods of student assessment to be used in the course to evaluate learning outcomes in the domain concerned. 
a. Knowledge 
(i) Description of the knowledge to be acquired
*Knowing some probability concepts
*Knowing some principle of combinatorial
*Knowing Bayes Theorem
*Knowing the concept of random variables
*.Knowing some single and joint probability distributions and some related measures

(ii) Teaching strategies to be used to develop that knowledge
*Lectures and tutorials.
*Participation of students through discussions.
*Solving homework which is given to students in the tutorials.

(iii) Methods of assessment of knowledge acquired
assignments and exams

b. Cognitive Skills 
(i) Cognitive skills to be developed
*skills of how to apply the knowledge students have acquired about probability ,random variables and probability distributions in solving real life problems .

(ii) Teaching strategies to be used to develop these cognitive skills
*lectures and tutorials followed by numerical examples
* engaging students in discussions during lectures and tutorials

(iii) Methods of assessment of students cognitive skills
Exams and assignments involve problems which require critical thinking to test the skills of students to apply the knowledge they have acquired

c. Interpersonal Skills and Responsibility 
(i) Description of the interpersonal skills and capacity to carry responsibility to be developed
Punctual attendance of classes is required in lectures and tutorials.
Students learn to organise their time properly in studying the course.

(ii) Teaching strategies to be used to develop these skills and abilities
*students are required to solve assignments after each tutorial and are given a time limit for handing them.
*students are encouraged to participate in class discussions.

(iii) Methods of assessment of students interpersonal skills and capacity to carry responsibility
*class attendance is recorded.

d. Communication, Information Technology and Numerical Skills 
(i) Description of the skills to be developed in this domain.
*computational skills through solving problems

(ii) Teaching strategies to be used to develop these skills

(iii) Methods of assessment of students numerical and communication skills

e. Psychomotor Skills (if applicable)not applicable 
(i) Description of the psychomotor skills to be developed and the level of performance required

(ii) Teaching strategies to be used to develop these skills

(iii) Methods of assessment of students psychomotor skills

5. Schedule of Assessment Tasks for Students During the Semester

Assessment 
Assessment task (eg. essay, test, group project, examination etc.) 
Week due 
Proportion of Final Assessment 
1

First Midterm examination 
7 
20% 
2

Second Midterm examination 
11 
20% 
3

Final examination 
As scheduled by registrar 
60% 