COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1410221008

Ders İsmi:

Web Programming

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	3

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

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 Recep DURANAY

Course Lecturer(s):

Dr.Öğr.Üyesi Recep DURANAY

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

The aim of this course is; The aim of this course is to gain basic knowledge about editors used for web programming, programming languages used for development and editing, setting up web servers, web protocols, database connections and queries in the web environment.

Course Content:

Editors and program development environments used for programming; Page design with HTML5; use of style sheets in formatting (CSS); creating dynamic pages (javascript); web server setup; cookie concept and usage areas in internet programming; sending HTTP requests and responses over the internet; connecting to the database and performing transactions over the internet; listing, sorting, changing the information in the database; developing a dynamic internet application for educational purposes.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Knows the editor and programming languages used for web programming.
3 - Competences
Communication and Social Competence
Learning Competence
1) Develops a web page with HTML5 and formats the web page it develops with CSS.
2) Develops dynamic web pages with Javascript language.
3) Knows and uses HTTP and other web protocols.
4) Knows how to connect to a database and query in a web environment.
5) Develops an educational web application.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Course Introduction - Web Programming Editors and Web Programming Languages	DERS KİTABI
2)	Basic HTML5 Tags - List Tags - Ordered, Unordered and Nested List Tags	TEXTBOOK
3)	Working with HTML5 Tables - Table Tags - Link Tags - Link Lists	TEXTBOOK
4)	Working with HTML5 Images, Sound and Videos - Image Tags - Audio Tags - Video Tags	TEXTBOOK
5)	Working with Forms - Form Tags - Text Fields - Password Fields - Multiple Selection Fields - Multiple Selection Fields - Buttons - New Form Elements with HTML5	TEXTBOOK
6)	Formatting Web Pages with CSS - Working with Colors - Formatting Text	TEXTBOOK
7)	CSS3 Selectors - Working with Class and Style - Working with Division (div) and Scope (span) - CSS3 Innovations	TEXTBOOK
8)	Midterm Exam	TEXTBOOK
9)	CSS3 Levels - Managing Style Levels - Style Priorities - Managing Browser Adaptations - CSS Special Effects - Image, Text and Transition and Transformation Effects	TEXTBOOK
10)	CSS3 Levels - Managing Style Levels - Style Priorities - Managing Browser Adaptations - CSS Special Effects - Image, Text and Transition and Transformation Effects	TEXTBOOK
11)	Configuring Page Layouts with CSS3	TEXTBOOK
12)	Programming Client Side with JavaScript	TEXTBOOK
13)	Writing Functions and Events - Button and Text Field Events	TEXTBOOK
14)	JavaScript Conditional Expressions - Loops - Arrays - Working with Objects - Working with Canvas	TEXTBOOK
15)	Working with Database - Database Querying	TEXTBOOK
16)	FINAL	TEXTBOOK

Sources

Course Notes / Textbooks:	Harris, A., (2014), HTML5 and CSS3 All-in-One. John Wiley & Sons.
References:	McFedries, P., (2018), Web Coding & Development All-in-One. John Wiley & Sons.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5	6
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

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

	Program Outcomes	Level of Contribution
1)	PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2)	PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3)	PO 2.1) Identifying complex engineering problems
4)	PO 2.2) Defining complex engineering problems
5)	PO 2.3) Formulating complex engineering problems
6)	PO 2.4) Ability to solve complex engineering problems
7)	PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8)	PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9)	PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product	4
10)	PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11)	PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12)	PO 4.3) Ability to use information technologies effectively.
13)	PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14)	PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15)	PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16)	PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17)	PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 10
Midterms	1	% 30
Semester Final Exam	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	5	70
Homework Assignments	1	20	20
Midterms	1	2	2
Final	1	3	3
Total Workload			137