Course Language:
İngilizce
Course Coordinator:
Course Objectives:
Fundamentals of data mining, data, information and knowledge, knowledge discovery in databases, the traditional statistical methods, neural networks, decision trees, Bayesian theorem, association rules, data warehouses, business applications, and advanced techniques to know and understand.
Course Content:
The course provides an overview of leading data mining methods and applications. The topics covered include: data, information and knowledge, knowledge discovery in databases, traditional statistics, artificial neural networks, decision trees, Bayesian learning, association rules, data warehousing, commercial tools, feature selection and advanced techniques.
Course Methodology:
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Lab Work
Course Evaluation Methods:
A: Testing, B: Presentation C: Homework D: Project E: Laboratory
Vertical Tabs
Course Learning Outcomes
| Learning Outcomes | Program Learning Outcomes | Teaching Methods | Assessment Methods |
| Have a good knowledge about the concept of data mining. | 7,8 | 1,2,3 | A,B,C |
| What is data mining models and techniques to learn. | 7,8 | 1,2,3 | A,B,C |
| Implements descriptive statistical techniques on statistical a package program. | 7,8 | 1,4 | A,E |
| Knows about forecast models. | 7,8 | 1,4 | A,E |
| Knows about classication analysis. | 7,8 | 1,4 | A,E |
| Knows about association rules. | 7,8 | 1,4 | A,E |
| Have a good knowledge about web mining. | 7,8 | 1, 4 | A,C,E |
Course Flow
| COURSE CONTENT | ||
| Week | Topics | Study Materials |
| 1 | Data mining concepts | |
| 2 | Data mining models and techniques | |
| 3 | Data warehouses and OLAP | |
| 4 | Data warehouses and OLAP | |
| 5 | Descriptive statistical techniques | |
| 6 | Decision trees | |
| 7 | Forecast models | |
| 8 | MIDTERM | |
| 9 | Database segmentation | |
| 10 | Link Analysis | |
| 11 | Associations rules | |
| 12 | Web mining | |
| 13 | Presentations | |
| 14 | Presentations | |
| 15 | FİNAL | |
Recommended Sources
| RECOMMENDED SOURCES | |
| Textbook | DATA MINING Concepts and Techniques, Jiawei HAN- Micheline KAMBER, Morgan Kaufman Pub.,2001 |
| Additional Resources | DATABASE SYSTEMS, Thomas CONNOLLY-Carolyn BEGG, Pearson Education, 4. Edition |
Material Sharing
| MATERIAL SHARING | |
| Documents | |
| Assignments | |
| Exams | |
Assessment
| ASSESSMENT | ||
| IN-TERM STUDIES | NUMBER | PERCENTAGE |
| Mid-term | 1 | 70 |
| Project | 1 | 20 |
| Homework | 1 | 10 |
| Total | 100 | |
| CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE | 40 | |
| CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE | 60 | |
| Total | 100 | |
Course’s Contribution to Program
| COURSE'S CONTRIBUTION TO PROGRAM | |||||||
| No | Program Learning Outcomes | Contribution | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Information Systems graduates have the knowledge and the skills to design and develop the complete systems for multi-media visual user interface. | X | |||||
| 2 | Information Systems graduates have advanced the knowledge and skills to design, develop and install the application systems for multi-media. | X | |||||
| 3 | Information Systems graduates have the knowledge and the skills to design, develop and apply algorithms and data structures to solve the basic problems of information processing, within the framework of discrete mathematics. | X | |||||
| 4 | Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern structured development tools and install them on various hardware platforms and deploy their usage. | x | |||||
| 5 | Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern object-oriented development tools and install them on various hardware platforms and deploy their usage. | x | |||||
| 6 | Information Systems graduates know the logic of computer operating systems, the basic set of system commands, how to control access to system resources by users of different departments and how to monitor the running of jobs in the system. | x | |||||
| 7 | Information Systems graduates have the knowledge and the skills to design and develop data models serving different requirements, database applications that would access and process data using various types of software, including queries, reports and business applications. | x | |||||
| 8 | Information Systems graduates have the knowledge and the skills to design and develop business applications that would provide data acess, modification and processing for data kept in enterprise database systems. | x | |||||
| 9 | Information Systems graduates have the knowledge about computer networks, and have the skills to design, develop and monitor computer networks, how to configure them and how to maintain their performance. | x | |||||
| 10 | Information Systems graduates have the knowledge and the skills to design and develop visual user interfaces for the web, web-based applications for n-tier client/server configurations, how to deploy them in enterprises. | x | |||||
ECTS
| ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION | |||
| Activities | Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Course Duration (Including the exam week: 16x Total course hours) | 15 | 3 | 45 |
| Hours for off-the-classroom study (Pre-study, practice) | 15 | 3 | 45 |
| Mid-term | 1 | 9 | 9 |
| Project | 1 | 9 | 9 |
| Homework | 3 | 6 | 18 |
| Presentation | 1 | 3 | 3 |
| Final examination | 1 | 9 | 9 |
| Total Work Load | 138 | ||
| Total Work Load / 25 (h) | 5.52 | ||
| ECTS Credit of the Course | 6 | ||
None