INFORMATION TECHNOLOGIES (TURKISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
YZM5550 | Business Intelligence | Fall | 3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | Turkish |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. MEHMET ALPER TUNGA |
Course Lecturer(s): |
Dr. Öğr. Üyesi SERKAN AYVAZ |
Recommended Optional Program Components: | None. |
Course Objectives: | Participants will learn the usage based on business intelligence, data mining, business intelligence methods will contribute, open-source and commercial develop business intelligence solutions, and application will be introduced. |
The students who have succeeded in this course; 1. Describe the concepts of business intelligence 2. Use the reporting tools 3. Define the contributions of data mining 4. Use basic ETL tools |
The content of this course is composed of introduction to business intelligence, database management systems, the data warehouse models and architectures - the application, data warehouses Datamarts, data mining - 0 (preprocessing), data mining - 1 (driven methodology and algorithms), data mining - 2 (Guided algorithms continued), data mining - 3 (non-guided algorithms). |
Week | Subject | Related Preparation |
1) | Introduction to Business Intelligence | |
2) | Database management systems – 1 | |
3) | Database management systems – 2 | |
4) | The data warehouse models and architectures - the application | |
5) | Data warehouses Datamarts | |
6) | Data Mining - 0 (preprocessing) | |
7) | Data Mining - 0 (preprocessing) + Midterm Exam | |
8) | Data Mining - 1 (driven methodology and algorithms) | |
9) | Data Mining - 2 (Guided algorithms continued) | |
10) | Data Mining - 3 (non-guided algorithms) | |
11) | Project Presentations – 1 | |
12) | Project Presentations – 2 | |
13) | Project Presentations – 3 | |
14) | Overall assessment and closing |
Course Notes / Textbooks: | Will be given weekly. |
References: | Yok - None. |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 5 |
Homework Assignments | 5 | % 15 |
Project | 3 | % 20 |
Midterms | 1 | % 20 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Application | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 3 | 42 |
Midterms | 1 | 22 | 22 |
Final | 1 | 41 | 41 |
Total Workload | 189 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Uses basic Software Engineering knowledge and competencies. | 3 |
2) | Applies the software development ability that is necessary for software engineering applications. | 3 |
3) | Uses data structures and applies information about algorithm development. | 2 |
4) | Develops system programs on operating systems. | 2 |
5) | Defines computer organization, design and architectures. | 2 |
6) | Creates the structure of computer networks and network security. | 2 |
7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | 3 |
8) | Develops database applications and WEB based programs. | 4 |
9) | Defines, analyzes, designs and manages information technologies projects. | 3 |
10) | Defines, analyzes, designs and manages information technologies projects. | 3 |
11) | Detects, identifies and solves information technology needs of the business environment. | 3 |
12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. | 4 |