This course deals with an initial introduction
to statistics, as it focuses on the most important elements of statistics,
which is descriptive statistics, with the aim of deepening students' abilities
to solve some problems statistically and overcome them by learning the concept
of data collection, organization and analysis using various statistical
measures, as well as the student gains the ability to understand the
relationship between different phenomena in terms of their direction and
behavior and design a mathematical model that simulates this relationship and
who has been used to predict future values.
It is also a skill to understand the basic concepts in probability
Intended learning outcomes
Among
the most important outputs that the student acquires after passing this course
are:
1. Ability to deal with statistical
data with high efficiency.
2. Use the skills of collecting,
presenting and analyzing data perfectly.
3. Derive appropriate metrics based
on data type.
4. Designing linear equations that
simulate the relationship between different phenomena to be used in prediction.
5. Conclude the importance of
statistics in our working life.
6. Translating the behavior of
statistical data based on the nature of the actual study.
7. Use basic concepts in probability
effectively.
8. Understand
the relationship between different phenomena in terms of their direction and
behavior
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
