Download - Applied Science University

‫جامعة العلوم التطبيقية الخاصة‬
)‫ت‬.‫ع‬.‫( ج‬
‫عمان – األردن‬
APPLIED SCIENCE PRIVATE
UNIVERSITY
(A.S.U)
AMMAN - JORDAN
‫ف لن جعل م ن أردن الع رب جامعة لل عرب‬
Faculty: Arts and Humanities
Department : Basic Science
Academic Year:2017/2016 Semester first
( Course Syllabus )
Course Title
Probability
Credit Hours Course No Perquisite Year/Semester
3
1501212
1501110
And statistics
Coordinator Name
Faten Issa
Lec. /Lab. Credit
Lecture: 3
Calculus
Lecturer
Faten Issa
Room No
2214
Lab: 0
E-mail
[email protected]
Office hours
Sun-tue-thu-11-12
Mon-wed 9:30 -11
Course objective
Statistics, the subject of data analysis and data -based, is playing an increasing vital role in virtually
all professions. The course presents the key statistical concepts and the most commonly applied
methods of statistical analysis. The course is designed for computer science students.
Course description
The course probability and statistics will cover three major areas, descriptive statistics, axioms and
theorems of probability, a collection of statistical methods for analyzing the types of data that are of
common occurrence
Intended learning outcomes:
Successful completion of this course should lead to the following learning outcomes:
A- Knowledge and understanding :
A1) Understand the basic concepts of descriptive statistics
A2) Understand the concepts of correlation coefficient
A3) List basic concepts of linear regression
A4) Study the axioms and theorems of probability
A5) Understand the conditional probability and Baye's theorem
A6) List the counting techniques and its application
A7) Study discrete probability distributions such as binomial distribution, Poisson distribution
A8) Study continuous distribution such as normal distribution, student's -t –distribution, chi-square
distribution.
A9) Understand central limit theorem.
B-Intellectual skills
B1) Describe data by tables and graphs
B2) Analyze and summarize bivariate data
B3) Compare between discrete and continuous distribution
B4) Analyze data and draw inferences from large samples.
C) Subject specific skills:
C1) Implement solutions of descriptive statistics
C2) Implement solutions of baye's theorem
C3) Implement solutions of binomial distribution and Poisson distribution
C4) Implement solutions of inferences about population parameters
D- Transferable skills:
D1) Home works and quizzes.
D2) Assignments
Course contents
week
1
Topics
Topic details
Reference
chapter
1
Assessment
Introduction
Course overview, basic concepts
Descriptive statistics
Measures of central tendency
(Mean, median , mode)
Measures of dispersion
(range ,variance ,standard deviation )
Frequency distribution Graphs
Measures of central tendency
(mean ,median , mode)
Measures of dispersion
(range ,variance ,standard deviation)
Counting techniques,
Multiplication rule
Permutation
combination
Axioms of probability
Theorems of probability
Conditional probability
Baye's theorem
independence
1
Probability
distribution
Discrete probability distribution
Mean ,variance , standard deviation
3
Probability
distribution
Continuous probability distribution
Mean ,variance ,standard deviation
3
Hw 3
Discrete probability
Distribution
Bernoulli distribution
Binomial distribution
Poisson distribution
Normal distribution
Properties
Standard normal distribution
Student t distribution
Chi square distribution
Central limits theorem
4
Hw 4
2/10-6/10
2
9/10-13/10
3
Descriptive statistics
16/10-20/10
4
Probability
23/10-27/10
5
probability
30/10-3/11
6
probability
6/11-10/11
7
13/11-17/11
8
20/11-24/11
9
27/11-1/12
10
4/12-8/12
11
11/12-15/12
Continuous
Probability
Distribution
Continuous
probability
Distribution
1
Hw 1
2
Hw 2
2
2
First exam
5
5
12
Statistical inference
18/12-22/12
13
26/12-29/12
14
2/1-5/1
15
8/1-12/1
Statistical
Inference
Regression and
correlation
Regression and
correlation
16
Estimation of the mean
Proportion confidence interval for the
mean
Variance proportion
Hypothesis testing : type I and type II
error , test for the mean
6
Pearson's correlation coefficient ,
spearman's
Correlation
Linear regression ,
Perdition
Final exam
9
Second exam
6
Hw 6
9
Grade distribution
Assessment
First exam
Second exam
Assignments(reports ,quizzes, home works
Final examination
grade
20% 8/11/2016
20% 13/12/2016
10%
50% 12/1/2017
date
*Make- up exams will be offered for restricted reasons .it may be different from regular exams
in content and format
Reading list:
Text book
references
1) Salim.S. D.and abu-hweij: introduction to probability and statistics
2004
1) Richard A. Johnson : Statistics principles and methods second edition
2) Harold Larson : introduction to probability theory and statistical
inference third edition