Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / BUS343 - BUSINESS ADMINISTRATION

Code: BUS343

Course Title: DATA ANALYSIS AND COMPUTER APPLICATIONS

Theoretical+Practice: 3+0

ECTS: 4

Year/Semester of Study

3 / Fall Semester

Level of Course

1st Cycle Degree Programme

Type of Course

Optional

Department

BUSINESS ADMINISTRATION

Pre-requisities and Co-requisites

None

Mode of Delivery

Face to Face

Teaching Period

14 Weeks

Name of Lecturer

AYLİN ALKAYA (aylin@nevsehir.edu.tr)

Name of Lecturer(s)

Language of Instruction

English

Work Placement(s)

None

Objectives of the Course

The objective of the course provides the students with fundamental applications about data and data analysis. Students can make a basic analysis of data.

Learning Outcomes		PO	MME
The students who succeeded in this course:
LO-1	be able to understand the data and analysis methods of data	PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.	Examination
LO-2	be able to learn analyze methods for problem types	PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.	Examination
LO-3	be able to use visualize the data on computer applications	PO-12 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance.	Examination
PO: Programme Outcomes MME:Method of measurement & Evaluation

Course Contents
The data and power of data, describing the data, variables and statistical analysis, descriptive statistics, distributions and functions, random variable, hypothesis, regression, Visualizing data
Weekly Course Content
Week	Subject	Learning Activities and Teaching Methods
1	Introduction to data analysis. Introduction to statistical softwares.	Lecturing and discussion
2	Gathering and collecting data, ethics and property rights. Reliability and Validity	Lecturing and discussion, computer application
3	Visualizing the data. Working with missing data Variable, variable types, random variable. Coding the variables in software	Lecturing and Computer Application
4	Probability	Lecturing and Computer Application
5	Distributions,	Lecturing and Computer Application
6	Normality and parametric tests	Lecturing and Computer Application
7	Hypothesis tests	Lecturing and Computer Application
8	mid-term exam
9	ndependent and dependent/paired t tests	Lecturing and Computer Application
10	Nonparametric tests	Lecturing and Computer Application
11	Nonparametric tests	Lecturing and Computer Application
12	Correlation analysis	Lecturing and Computer Application
13	ANOVA	Lecturing and Computer Application
14	Regression analysis, regression models	Lecturing and Computer Application
15	Regression analysis, regression models	Lecturing and Computer Application
16	final exam
Recommend Course Book / Supplementary Book/Reading
1	Hardy, M. & Alan Bryman, 2014. The hand book of Data Analysis, Sage publications Inc.California 91320
2	Provost, F. & Tom Fawcett, 2013. Data Science for Business, O’Reilly Media Inc. CA, 95472.
Required Course instruments and materials
Textbook, Blackboard, computer and software

Assessment Methods
Type of Assessment	Week	Hours	Weight(%)
mid-term exam	8	1	40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam	14	1	60

Student Work Load
Type of Work	Weekly Hours	Number of Weeks	Work Load
Weekly Course Hours (Theoretical+Practice)	3	14	42
Outside Class
a) Reading	3	8	24
b) Search in internet/Library	3	8	24
c) Performance Project	3	4	12
d) Prepare a workshop/Presentation/Report			0
e) Term paper/Project			0
Oral Examination			0
Quiz			0
Laboratory exam	3	2	6
Own study for mid-term exam	2	4	8
mid-term exam	2	1	2
Own study for final exam	2	5	10
final exam	2	1	2
			0
			0
Total work load;			130