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:	Erjon Gjoçi , Mondays: 14:00 - 16:00
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 @ 10: 45 & Thursday @ 11:45
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	What is Statistics? Ch 1
3	Describing Data: Frequency Tables, Frequency Distribution - Ch 2
4	Describing Data: Review and Graphic Presentation - Ch 2
5	Quiz #1 & Describing Data: Interpretation and Uses of the Standard Deviation & The Mean & Standard Deviation of Grouped Data - Ch 3
6	Describing Data: Displaying & Exploring Data - Ch 4
7	Review for Mid-term
8	Mid Term
9	Probability Concepts & Computation and Calculation - Ch 5
10	Discrete Probability Distribution - Ch 6
11	Quiz #2 & Continuous Probability Distributions - Ch 7
12	Sampling Methods and The Central Limit Theorem - Ch 8
13	Estimation & Confidence Interval - Ch 9
14	Review for the Final Exam

Prerequisite(s):	NA
Textbook:	“Statistical Techniques in Business & Economics”, By Douglas A. Lind, William B. Marshall, Samuel A. Wathen. 7th Edition
Other References:	NA
Laboratory Work:	Yes
Computer Usage:	Excel
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 Business Informatics (3 years) Program

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	33
Quiz	2	12
Final Exam	1	33
Attendance		10
	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