ST102 : Introduction to Probability Course

Department

Department of Mathematics

Academic Program

Bachelor in Mathematics

Type

Compulsory

Credits

03

Prerequisite

ST101

Overview

This course aims to build knowledge and become fully acquainted with the scientific development of the science of statistics through identifying the second branch of the science of statistics, which is statistical inference. This is done by getting acquainted with the concept of statistical methods, their nature and principles in a comprehensive manner from the study and analysis of life phenomena, and by reaching rational and objective statistical decision-making. Realizing the priorities of statistical applications and standing on their importance. It also aims to apply statistical concepts to study sampling distributions and their properties. It aims to study point estimation and period estimation about community features that are usually unknown, especially in large and unlimited societies. Study the most important statistical tests and how to use them in the scientific and applied fields

Intended learning outcomes

Among the most important outputs that the student acquires after passing this course are: 1. Using the appropriate statistical method to skillfully treat different data. 2. Applying statistical tests in various fields. 3. Linking methods for finding confidence intervals and methods for testing hypotheses. 4. Comparing hypothetical tests and making the appropriate statistical decision. 5. Formulating research hypotheses and testing them in a sound statistical manner accurately

Teaching and learning methods

· Lectures

· Panels

· Solving exercises

Methods of assessments

The student is evaluated during the semester based on:

• The result of the midterm exam, for which 20 marks are allocated.

• As a result of continuous duties during the semester with an average of 10 assignments, and 10 grades are allocated to them

• The result of the worksheet in which the student uses what has been studied throughout the semester, and allocates 10 marks to it

• The result of the final exam, for which 60 marks are allocated.

(IS100)
General Mathematics 1 (MM101)
Arabic Language 1 (AR100)
PRINCIPLES OF COMPUTER 1 (CS100)
Introduction to Statistics Course (ST101)
GENERAL PSYCHOLOGY (GS100)
FOUNDATIONS OF EDUCATION (GS101)
Planar Analytic Geometry (MM103)
Arabic Language 2 (AR101)
General Mathematics 2 (MM102)
spatial engineering (MM104)
GENERAL TEACHING METHODS (GS201)
EVOLUTIONARY PSYCHOLOGY (GS200)
Introduction to Probability Course (ST102)
PRINCIPLES OF COMPUTER 2 (CS101)
Linear Algebra 1 (MM105)
(IS101)
General Mathematics3 (MM201)
sets theory (MM203)
Linear Algebra 2 (MM205)
(MM206)
EDUCATIONAL PSYCHOLOGY (GS203)
FOUNDATIONS OF CURRICULUM (GS202)
Arabic Language 3 (AR213)
vector analysis (MM204)
dynamics (MM207)
Methods of teaching mathematics (MM215)
Mathematical Statistics Course (ST202)
Arabic Language 4 (AR216)
EDUCATIONAL RESEARCH METHODS (GS301)
Ordinary differential equations 1 (MM202)
School Mathematics 1 (MM309)
ASSESSMENT AND EVALUATION (GS302)
Ordinary differential equations 2 (MM301)
Mathematical logic (MM307)
Composite analysis 1 (MM305)
NUMERICAL ANALYSIS (MM308)
Word processing (CS202)
School Math2 (MM310)
Real analysis1 (MM303)
Abstract algebra 1 (MM302)
TEACHING AIDS (GS303)
SCHOOL MANAGEMENT (GS400)
Complex analysis 2 (MM306)
real analysis 2 (MM304)
Abstract algebra 2 (MM403)
TEACHING PRACTICE 1 (GS402)
linear programming (MM405E)
Functional analysis (MM406E)
History of mathematics (MM407E)
Operations Research (MM408E)
Integral equations (MM409E)
(GS401)
Practical education 2 (GS403)
graduation project (MM404)
Partial differential equations (MM401)