EASF302 Business AnalyticsIstinye UniversityDegree Programs Business Administration (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Business Administration (English)

Preview

Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: EASF302
Course Name: Business Analytics
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Dr. Öğr. Üy. FATİH KİRAZ
Course Lecturer(s): Dr. Öğr. Üy. ORHAN ÖZAYDIN
Course Assistants:

Course Objective and Content

Course Objectives: This course is designed to provide students with an understanding of transforming data into action through analysis and insights in the context of organizational decision making and problem solving.
Course Content: Basic statistical concepts. R Programming. Data development, reporting and analysis.

Learning Outcomes

The students who have succeeded in this course;
1) Understand how to use business analytics to formulate and solve business problems.
2) Understand the processes required to develop, report and analyze business data.
3) Learn how to use and apply R Programming and its add-ins to solve business problems.

Course Flow Plan

Week Subject Related Preparation
1) Introduction and Basic Concepts
2) Introduction to Statistics
3) R Programming
4) Data
5) Problem Definition
6) Statistical Techniques
7) Statistical Techniques (cont.)
8) Regression Techniques
9) Regression Techniques (cont.)
10) Predictive Analytics
11) Machine Learning
12) Prediction Evaluation
13) Visualising
14) Reporting
15) Finals Week

Sources

Course Notes / Textbooks: Lecturer's notes
Öğretim üyesi notları
References: Steven Orla Kimbrough, Hoong Chuin Lau, Business Analytics for Decision Making, Chapman and Hall/CRC, 2016, ISBN 9781482221763

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

Program Outcomes
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences.
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences. 2 2 2
2) They have knowledge and skills about different functions and interactions of the enterprise. 1 1 1
3) They can use different theoretical approaches to understanding and solving various business problems. 3 3 3
4) Being aware of the needs of society, they use business knowledge to meet these needs. 1 1 1
5) They have knowledge depthly about current problems of Turkey and Global Business World’s
6) They can determine the objectives of the institution in which they are involved, taking into account the market needs and economic conditions.
7) They can solve complex business problems by using various statistical techniques and numerical methods and makes analysis by using statistical programs effectively. 3 3 3
8) They can use a foreign language at least B1 General Level in terms of European Language Portfolio criteria according to the education level of a foreign language. 3 3 3
9) They can develops teamwork, negotiation, leadership and entrepreneurship skills.
10) They have the knowledge of universal ethical values, social responsibility awareness and sufficient level of labor law.
11) They can identify the individual learning needs and carries out studies to correct them by developing positive attitudes about lifelong learning. 2 2 2
12) They can express their ideas and solutions both written and orally, and if required they can present and publish them on both national and international platforms. 1 1 1
13) They use information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. 3 3 3

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences.
1) Using other social sciences and mathematics, they have a broad and interdisciplinary perspective on business and management sciences. 2
2) They have knowledge and skills about different functions and interactions of the enterprise. 1
3) They can use different theoretical approaches to understanding and solving various business problems. 3
4) Being aware of the needs of society, they use business knowledge to meet these needs. 1
5) They have knowledge depthly about current problems of Turkey and Global Business World’s
6) They can determine the objectives of the institution in which they are involved, taking into account the market needs and economic conditions.
7) They can solve complex business problems by using various statistical techniques and numerical methods and makes analysis by using statistical programs effectively. 3
8) They can use a foreign language at least B1 General Level in terms of European Language Portfolio criteria according to the education level of a foreign language. 3
9) They can develops teamwork, negotiation, leadership and entrepreneurship skills.
10) They have the knowledge of universal ethical values, social responsibility awareness and sufficient level of labor law.
11) They can identify the individual learning needs and carries out studies to correct them by developing positive attitudes about lifelong learning. 2
12) They can express their ideas and solutions both written and orally, and if required they can present and publish them on both national and international platforms. 1
13) They use information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. 3

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 50
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 14 0 3 42
Study Hours Out of Class 14 0 2 28
Project 1 0 20 20
Final 1 33 2 35
Total Workload 125