ADVERTISING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
COP4408 | OBASE Business Intelligence | Spring |
3 | 0 | 3 | 5 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. ADEM KARAHOCA |
Course Lecturer(s): |
Prof. Dr. ADEM KARAHOCA |
Recommended Optional Program Components: | None |
Course Objectives: | The course provides the student with an introduction to the basic and more advanced concepts of Business Intelligence and discusses the architectures of possible solutions. |
The students who have succeeded in this course; 1. Define basic concepts and categories of business intelligence and business intelligence market 2. Describe data warehouse architectures 3. Define relational models, construct normalized data models and identify queries to data sources with SQL. 4. Discuss case studies in terms of business intelligence concepts 5. Specify data mining and clustering methods 6. Describe neural networks 7. Define decision trees 8. Identify business intelligence front end applications 9. Prepare project presentations |
Concepts of business intelligence, data warehousing, rdbms concepts, modeling the dimensions and creating the aggregations, panel - case studies, introduction to data mining unsupervised methods, supervised methods, business intelligence front end |
Week | Subject | Related Preparation |
1) | Introduction to Business Intelligence | |
2) | Data Warehousing | |
3) | RDBMS Concepts I | |
4) | RDBMS Concepts II | |
5) | Modeling the Dimensions and Creating the Aggregations | |
6) | Modeling the Dimensions and Creating the Aggregations | |
7) | Panel - Case Study: Migros | |
8) | Introduction to Data Mining Unsupervised Methods | |
9) | Introduction to Data Mining Unsupervised Methods | |
10) | Supervised Methods | |
11) | Supervised Methods | |
12) | Business Intelligence Front End | |
13) | Project Presentations | |
14) | Panel – Case Study: Turkcell |
Course Notes / Textbooks: | Corporate Information Factory, W. H. Inmon, Claudia Imhoff, Ryan Sousa, 2001, 0471399612 Business intelligence : a managerial approach, E. Turban, R. Sharda, J.E. Arnsson, D. King, 2007, 013234761X The Data Warehouse Toolkit, R. Kimball, M. Ross, 1996, 0471153370 |
References: | Yok |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 1 | % 10 |
Project | 1 | % 35 |
Midterms | 1 | % 15 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 3 | 5 | 15 |
Project | 1 | 20 | 20 |
Midterms | 1 | 18 | 18 |
Final | 1 | 20 | 20 |
Total Workload | 115 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To be able to apply theoretical concepts related to mass communication, consumer behavior, psychology, persuasion,sociology, marketing, and other related fields to understand how advertising and brand communication works in a free-market economy. | 2 |
2) | To be able to critically discuss and interpret theories, concepts, methods, tools and ideas in the field of advertising. | 2 |
3) | To be able to research, create, design, write, and present an advertising campaign and brand strategies of their own creation and compete for an account as they would at an advertising agency. | 2 |
4) | To be able to analyze primary and secondary research data for a variety of products and services. | 2 |
5) | To be able to develop an understanding of the history of advertising as it relates to the emergence of mass media outlets and the importance of advertising in the marketplace. | 2 |
6) | To be able to follow developments, techniques, methods, as well as research in advertising field; and to be able to communicate with international colleagues in a foreign language. (“European Language Portfolio Global Scale”, Level B1) | 2 |
7) | To be able to take responsibility in an individual capacity or as a team in generating solutions to unexpected problems that arise during implementation process in the Advertising field. | 3 |
8) | To be able to understand how advertising works in a global economy, taking into account cultural, societal, political, and economic differences that exist across countries and cultures. | 2 |
9) | To be able to approach the dynamics of the field with an integrated perspective, with creative and critical thinking, develop original and creative strategies. | 2 |
10) | To be able to to create strategic advertisements for print, broadcast, online and other media, as well as how to integrate a campaign idea across several media categories in a culturally diverse marketplace. | 2 |
11) | To be able to use computer software required by the discipline and to possess advanced-level computing and IT skills. (“European Computer Driving Licence”, Advanced Level) | 2 |
12) | To be able to identify and meet the demands of learning requirements. | 2 |
13) | To be able to develop an understanding and appreciation of the core ethical principles of the advertising profession. | 2 |