Software Engineering
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

FET308

Ders İsmi:

Data Mining

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Laboratory	ECTS
2	1	0	5

Language of instruction:

Turkish

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Bölüm Seçmeli

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Asst. Prof. Dr. SAJJAD NEMATZADEH MİANDOAB

Course Lecturer(s):

Asst. Prof. Dr. SAJJAD NEMATZADEH MİANDOAB

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	This course aims to explain the basic concepts of data mining to students in an applied way.
Course Content:	The course covers data science fundamentals, programming with python, data preparation, descriptive methods and predictive methods.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Students learn the importance of data science.
2) Students gain experience in Python programming.
3) Students understand the importance of data preparation.
4) Students gain the ability to comprehend descriptive methods.
5) Students gain the ability to comprehend predictive methods.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Fundamentals of Data Mining
2)	Data and Data Science Concepts
3)	Data Discovery
4)	Python Programming
5)	Data Editing with Python
6)	Predictive Methods
7)	Decision Trees
8)	Midterm
9)	Classification and Regression
10)	Machine Learning
11)	Descriptive Methods
12)	Clustering
13)	Association Rules
14)	Project Presentations
15)	Final Exam

Sources

Course Notes / Textbooks:	TAN, Pang-Ning; STEINBACH, Michael, KUMAR, Vipin, Introduction to data mining. Pearson Education India, 2016.
References:	AGGARWAL, Charu C. Data mining: the textbook. Springer, 2015.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5
Program Outcomes
1) Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems
2) Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; Ability to use information technologies effectively
5) Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics
6) Ability to work effectively in disciplinary and multi-disciplinary teams; ability to work individually
7) Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions
8) Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself
9) Behaving in accordance with ethical principles, awareness of professional and ethical responsibility; information about standards used in engineering applications
10) Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development
11) Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and information about the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems
2)	Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; Ability to use information technologies effectively
5)	Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics
6)	Ability to work effectively in disciplinary and multi-disciplinary teams; ability to work individually
7)	Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions
8)	Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself
9)	Behaving in accordance with ethical principles, awareness of professional and ethical responsibility; information about standards used in engineering applications
10)	Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development
11)	Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and information about the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
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