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BUSINESS INTELLIGENCE PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
YBS320 BUSINESS INTELLIGENCE 5 3 3 5

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Elective
Mode of Delivery of the Course Unit Face to face
Coordinator of the Course Unit Prof.Dr. SACİDE VURAL
Instructor(s) of the Course Unit

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: This course aims to introduce the latest developments in the world about big data concept and business intelligence applications, and to provide students with the necessary analysis skills.
Contents of the Course Unit: Contents of the course include the subjects such as Business Intelligence, Data Mining, Web Mining, Text Mining, Business Intelligence Applications.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Know the appropriate methods of the business process for developing business intelligence.
Relate between business performance management and business intelligence.
Experiment web and text mining tools.
Apply the rules of association in business intelligence processes.
Design business processes with classification and clustering knowledge and skills.
Choose the appropriate methods for data reduction.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Introduction to Business Intelligence Lecture & Discussion & Practice
2 Literature Review Business intelligence and decision support systems / intelligent systems Lecture & Discussion & Practice
3 Literature Review Data warehouse and special database Lecture & Discussion & Practice
4 Literature Review Data Visualization and Reporting Lecture & Discussion & Practice
5 Literature Review Data Mining 1 (basic concept and process) Lecture & Discussion & Practice
6 Literature Review Data Mining 2 (statistics based techniques) Lecture & Discussion & Practice
7 Literature Review Data Mining 3 (techniques based on machine) Lecture & Discussion & Practice
8 - MID-TERM EXAM -
9 Literature Review Data Mining 4 (techniques based on intelligent systems) Lecture & Discussion & Practice
10 Literature Review Text Mining Lecture & Discussion & Practice
11 Literature Review Web Mining Lecture & Discussion & Practice
12 Literature Review Data Mining Practices Lecture & Discussion & Practice
13 Literature Review Business Performance Management Lecture & Discussion & Practice
14 Literature Review Developing and practicing in Business Intelligence process Lecture & Discussion & Practice
15 Literature Review Business Intelligence Practices Lecture & Discussion & Practice
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Cagiltay, N. E. (2010). Is zekasi ve veri ambari sistemleri. ODTU Gelistirme Vakfi Publications.
Seker, S. E. (2013). Is zekasi ve veri madenciligi Cinius Publications.

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the basic concepts of economics, administrative and human sciences.
2
Summarize the basic communication theories with information about the field of Radio Television and Cinema.
3
Communicate and explain the current information about communication with communication theories.

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Relate the knowledge and facts in the field of communication with other areas of social sciences such as law, philosophy, economics, politics, and sociology.
2
Explain the structure and operation of the radio, television and cinema industries and use this information in their professional life.

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Using the data sources published in his / her field effectively, he /she conduct research and use the results in his / her studies.
2
Analyze the international media structures and choose the media structure that is appropriate for his/her community.

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Analyze and evaluate social events at national and international level through media practices.

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Apply his / her knowledge about media management and organization in his / her professional life.
2
Propose individual or team solutions for any problems in professional applications and production.

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Follow the developments in the field of communication, the studies related to the field and the mass media tools, and critically discuss the acquired knowledge.
2
Critically interpret the economic, political and sociological dimensions of the media.
3
Recognize universal norms of law and evaluate existing structures in the field of communication in the context of communication law and communication ethics and apply these gains throughout life.

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Conduct literature research in a foreign language related to his/her field.
2
Prepare presentations for the film festival in Turkey and abroad, media organizations and communication symposia by using the communication skills.

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Defend scientific, social and ethical values in his / her field studies.
2
Create film history, script, fiction, audio and video techniques knowledge and designs short or feature film stages.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 2 26
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 7 5 35
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 5 4 20
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 41 0 125
Total Workload of the Course Unit 125
Workload (h) / 25.5 4,9
ECTS Credits allocated for the Course Unit 5,0