BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ECONOMICS AND FINANCE | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| 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. |
Basic information
| 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. |
Learning Outcomes
|
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 |
Course Content
| 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 |
Weekly Detailed Course Contents
| 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 |
Sources
| 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 |
Evaluation System
| 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 | |
ECTS / Workload Table
| 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 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. | 3 |
| 2) | Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. | 2 |
| 3) | Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. | 1 |
| 4) | Analyze the interventions of politics to the economics and vice versa. | 3 |
| 5) | Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. | 2 |
| 6) | Understand current and new economic events and how the new approaches to the economics are formed and evaluating. | 2 |
| 7) | Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. | 3 |
| 8) | Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. | 2 |
| 9) | Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. | 2 |
| 10) | Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. | 3 |