BİLGİ PAKETİ / DERS KATALOĞU
1413002010 Data Mining
Degree Programs
DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Diploma SupplementNational Qualifications
DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1413002010
Ders İsmi: Data Mining
Ders Yarıyılı: Fall
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Department Elective
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 : Dr.Öğr.Üyesi Adem ÖZYAVAŞ
Course Lecturer(s):
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The entire development of software systems, from object-oriented programming to Web Service Programming, involves complex techniques and tools. It is to ensure that these techniques and tools are learned in detail in order to benefit from their possibilities.
Course Content: History of Programming Languages, Syntax and Meaning, Control Structures, Data Types, Data Flow, Logic Programming, Functional Programming and Lambda Computing, Concurrent and Distributed Programming, Agent Based Programming, Subject Based Programming, View Based Programming, Service Based Programming.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Students gain detailed knowledge of high-level programming language concepts, costs, and limitations
2) Students know the high-level abstraction techniques of programming.
2 - Skills
Cognitive - Practical
1) Students become familiar with advanced software development principles, techniques and best practices.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Students are familiar with programming language areas and their purposes.
2) Students know programming languages classes.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Course Introduction - Web Programming Editors and Web Programming Languages Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
2) Basic HTML5 Tags - List Tags - Ordered, Unordered and Nested List Tags Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
3) Working with HTML5 Tables - Table Tags - Link Tags - Link Lists Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
4) Working with HTML5 Images, Sound and Videos - Image Tags - Audio Tags - Video Tags Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
5) Working with Forms - Form Tags - Text Fields - Password Fields - Multiple Selection Fields - Multiple Selection Fields - Buttons - New Form Elements with HTML5 Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
8) Midterm Exam Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
9) CSS3 Levels - Managing Style Levels - Style Priorities - Managing Browser Adaptations - CSS Special Effects - Image, Text and Transition and Transformation Effects Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
10) CSS3 Levels - Managing Style Levels - Style Priorities - Managing Browser Adaptations - CSS Special Effects - Image, Text and Transition and Transformation Effects Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
11) Configuring Page Layouts with CSS3 Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
12) Programming Client Side with JavaScript Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
13) Writing Functions and Events - Button and Text Field Events Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
14) JavaScript Conditional Expressions - Loops - Arrays - Working with Objects - Working with Canvas Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
15) Working with Database - Database Querying Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
16) Final Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996 Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.

Sources

Course Notes / Textbooks: Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996
Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.
References: Raphael Finkel, "Advanced Programming Language Design", Addison-Wesley, 1996
Robert W. Sebesta: ''Concepts of Programming Languages'', 9th ed., Addison Wesley 2009.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4

5
Program Outcomes
1) Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions.
2) Skills to design and conduct experiments, collect data, analyze and interpret results.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools required for 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 to investigate complex engineering problems or discipline-specific research topics.
6) Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, 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; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9) Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.
10) Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11) Knowledge about the universal and social effects of engineering applications on health, environment and safety and 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) Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions.
2) Skills to design and conduct experiments, collect data, analyze and interpret results.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools required for 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 to investigate complex engineering problems or discipline-specific research topics.
6) Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, 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; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9) Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.
10) Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11) Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 8 % 24
Project 1 % 16
Midterms 1 % 20
Semester Final Exam 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 3 39
Study Hours Out of Class 13 4 52
Homework Assignments 1 29 29
Midterms 1 30 30
Final 1 30 30
Total Workload 180