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Course Code: 
ACM 476
Course Type: 
Area Elective
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
6
Course Language: 
İngilizce
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

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

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

Documents

 

Assignments

 

Exams

 
 
 

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 CATEGORY

Expertise/Field Courses
 

 

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

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
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