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

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
COP4455	N11- Web Application Programming	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi TEVFİK AYTEKİN
Course Objectives:	Introduce students to web application development and prepare them for a career in the consumer internet industry by implementing a project using agile methodologies.

Learning Outcomes

The students who have succeeded in this course;
1) understanding of web application architectures
2) understanding of agile software development processes
3) familiarity with the linux operating system, and development tools used in web application programming
4) understanding of relational databases
5) understanding of user interface design and user experience design

Course Content

Web apps, design patterns in web apps, development tools and version control systems, Spring framework, dependency injection, MVC, Junit, hibernate ORM, spring+hibernate integration, Middleware ve HTTP protocol, HTTP Protocol, Spring controllers, spring filters, REST APIs, HTML, CSS, Javascript, and jquery, ajax.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction + background: historical perspective, what is a web app?, intro to design patterns in web apps, development tools and version control systems
2)	Java recap and introduction to the Spring Framework: spring components used in web applications, dependency injection, MVC, Junit unit testing
3)	Database Interactions and the hibernate ORM: Relational databases, ORM concept, integration of spring+hibernate
4)	Middleware and the HTTP protocol: Application servers, HTTP Protocol, HTTP Requests, HTTP Responses, Sessions and cookies, Spring controllers, spring filters, REST APIs and content types
5)	Presentation Layer and User interfaces: HTML, CSS, Javascript and jquery, Spring views and template engines, ajax
6)	MidTerm
7)	applied project (blog engine) iteration 1: General requirements of the application, user interface design, stories for registration and login, discussion about the design of the features, source code management and deployment/development environment discussions.
8)	applied project (blog engine) iteration 2 / Demo and retrospective of iteration 1, stories for composing a blog post, displaying a blog post
9)	applied project (blog engine) iteration 3: Demo of iteration 2 and retro. Stories for updating a blog post and deleting a blog post.
10)	applied project (blog engine) iteration 4: Demo of iteration 3. Stories for adding, removing tags to a post
11)	applied project (blog engine) iteration 5: Demo of iteration 4. Stories for posting, updating, deleting comments for a post.
12)	applied project (blog engine) iteration 6: Demo of iteration 5. Stories for adding analytics for the blog engine.
13)	Final project presentations
14)	Final project presentations

Sources

Course Notes / Textbooks:	"Spring in action" by Craig Walls
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 10
Homework Assignments	3	% 25
Midterms	1	% 25
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	6	84
Homework Assignments	3	7	21
Final	1	3	3
Total Workload			150

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.