COURSE INFORMATION Course Title: STATISTICS I

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BUS 201	A	3	4	0	0	4	5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Moustapha Daouda Dala , Thursday and Friday
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:	Monday: A130 8:45-10:15; Computer Lab III 11:30-13:15
Course Description:	Statistics I: The aim of the courses is that inference making in Business. The objective of the course is to help students to understand theoretical characteristics of statistical methods and develop practical knowledge and skills to analyze the business data.
Course Objectives:	The major objective of this course is to increase the student data analysis skills using different statistical tools, both from descriptive and inferential statistics.

COURSE OUTLINE

Week	Topics
1	Introduction
2	Data and statistics
3	Descriptive Stat.: Tabular and Graphical Presentation with one variable
4	Descriptive Stat.: Tabular and Graphical Presentation with two variables
5	Exercises and Quiz
6	Measure of position and variability
7	Measure of distribution shape and Review
8	Mid Term
9	Introduction to probability
10	Discrete probability distributions
11	Exercises
12	Continuous probability distributions
13	Sampling and Sampling distribution
14	Quiz and Review Session

Prerequisite(s):	NA
Textbook:	David R Anderson, Dennis J Sweeney, Thomas A Williams, Jeffrey D Camm, James J Cochran, Essentials of Statistics for Business and Economics, 7TH Edition.
Other References:	NA
Laboratory Work:	Yes
Computer Usage:	SPSS program
Others:	No

COURSE LEARNING OUTCOMES

1	Descriptive statistics
2	Inferential statistics
3	Types of probabilities

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Banking and Finance (3 years) Program
1	The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand economic problems in banking and finance but also to construct a model and defend in meaningful way.	4
2	They have knowledge about the finance and banking.	3
3	They have knowledge about the money and banking.	2
4	They have knowledge about the international finance and banking.	2
5	They have ability to use mathematical and statistical methods in banking and finance.	5
6	They know how to use computer programs in both daily office usage and statistical data evaluations in banking and finance department.	5
7	They have necessary banking and finance skills that needed in private and public sector.	4
8	They are intended to be specialist in one of departmental fields that they choose from the list of general economics, finance economics, public finance, corporate finance, finance management, international finance markets and institutions, banking and central banking, international finance and banking, money and banking, international trade and banking.	4
9	They have ability to utilize fundamental economic theories and tools to solve economic problems in banking and finance.	4
10	They are aware of the fact that banking and finance is a social science and they respect the social perspectives and social values of the society’s ethics.	3

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Quiz	2	10
Final Exam	1	45
Attendance		5
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	2	20	40
Mid-terms	1	15	15
Assignments	1	7	7
Final examination	1	15	15
Other			0
Total Work Load:			125
Total Work Load/25(h):			5
ECTS Credit of the Course:			5