Ders Planı

Lesson Information

Course Credit
Course ECTS Credit
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	The purpose of this course, the pattern discovery and data mining, knowledge discovery in databases is to provide an overview of the theoretical and practical aspects
Course Content	Data Discovery, Data Preprocessing, Forecasting, Classification, Clustering, Association Rule Mining, Abnormal Data Perception

Learning Outcomes

Be aware of the fact that management information systems is a multidisciplinary field and interrelate the other fields
Know information technologies and systems which can be used in diferrent fields of an enterprise
Provide technical and managerial contribution to information projects and take responsibility
Be able to solve problems by using diferrent information technologies, systems and support decision-makers
Convey the experience that they have about information technologies and systems, recent developments and growing tendencies through any sort of means of communication and, if necessary, can do it in a foreign language at least.
Generate ideas for interdisciplinary studies which can combine social and technical fields and be able to conduct these ideas
Analyse the needs for an information systems and have control over the processes at the analysis, design and implementation stages of the database that belongs to the system
Have the conscioussness of social responsibility and understand and practice theprofessional, legal and ethical values in information field
Have the conscioussness of social responsibility and understand and practice theprofessional, legal and ethical values in information field
Have a wide acquaintance with managerial/functional applications of enterprise information systems
Know the algorithm and be able to use an up-to-date software.
Provide technical and managerial contribution to information projects and take responsibility
Be able to think analythically and offer solutions by using the knowledge and skills gained towards problems encountered in daily life
Be aware of the fact that management information systems is a multidisciplinary field and interrelate the other fields
Acquire necessary knowledge in the fields of production,finance, human resources and management and organisation which are the fundamental functions of an enterprise
Keep up with the rapid changes in the field of information technologies and systems and innovate themselves
Keep up with the rapid changes in the field of information technologies and systems and innovate themselves
Provide technical and managerial contribution to information projects and take responsibility
Have a wide acquaintance with managerial/functional applications of enterprise information systems
Acquire necessary knowledge in the fields of production,finance, human resources and management and organisation which are the fundamental functions of an enterprise
Define management information systems in terms of technic, management and organisation and grasp the local, national and international dimensions of it
Generate ideas for interdisciplinary studies which can combine social and technical fields and be able to conduct these ideas
Know the algorithm and be able to use an up-to-date software.
Analyse the needs for an information systems and have control over the processes at the analysis, design and implementation stages of the database that belongs to the system
Provide technical and managerial contribution to information projects and take responsibility
Convey the experince that they have about information technologies and systems, recent developments and growing tendencies through any sort of means of communication and, if necessary, can do it in a foreign language at least.
Have the conscioussness of social responsibility and understand and practice theprofessional, legal and ethical values in information field
Have a wide acquaintance with managerial/functional applications of enterprise information systems
Have the conscioussness of social responsibility and understand and practice theprofessional, legal and ethical values in information field
Analyse the needs for an information systems and have control over the processes at the analysis, design and implementation stages of the database that belongs to the system
Generate ideas for interdisciplinary studies which can combine social and technical fields and be able to conduct these ideas
Have a wide acquaintance with managerial/functional applications of enterprise information systems

Weekly Course Subjects

1	What is data mining? What makes a new and unique discipline? Relationship between Data Warehouse, On-line Analytical Processing and Data Mining
2	Data warehouse
3	Data mining process: Data preparation / cleaning, job description
4	Association Rule mining
5	Rules and different algorithm types
6	Classification / Forecasting
7	Classification - tree based approaches, Artificial Neural Networks, etc.
8	Clustering - statistical approaches. Clustering - neural net and other approaches
9	Time Series Mining
10	Mining Data Streams
11	Multi-Relational Data Mining
12	Multi-Relational Data Mining
13	Data Mining for Fraud Detection
14	Proje tartışma

Resources

Jiawei Han and Micheline Kamber,Data Mining: Concepts and Techniques, The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor.Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8

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CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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