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
SEN4422	Scripting Languages	Spring	2	2	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 PINAR BÖLÜK
Recommended Optional Program Components:	None
Course Objectives:	The study of scripting languages and their applications introduces the student to new ways of programming, and leads on to the area of component-based software, a technology of great importance to the next generation of software systems.

Learning Outcomes

The students who have succeeded in this course;
1. Describe the nature of scripting languages in general
2. Analyze software modeling of real world problems to develop solutions based on scripting and database systems
3. Define and describe HTML Document Object Model and client scripting using JavaScript
4. Analyze server side programming using PHP
5. Analyze other server side scripting languages such as Perl, Python
6. Analyze CSS and XSLT
7. Analyze database driven web applications
8. Describe web servers technology and Apache configuration essentials
9. Define and develop AJAX applications and understand how different AJAX applications are from traditional web applications

Course Content

Introduction to Scripting Languages; Web scripting Essentials & anatomy of the web applications; Markup languages and a quick HTML tutorial; Adding interactivity to web pages; Javascript essentials; CSS, XML & XSLT; A quick introduction to PHP; MySQL basics; Introducing AJAX; JSON; Server Technologies : Configuring Apache Web Server

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Scripting Languages
2)	Web scripting Essentials & anatomy of the web applications
3)	Markup languages and a quick HTML tutorial
4)	Adding interactivity to web pages, Javascript essentials
5)	CSS, XML & XSLT
6)	A quick introduction to PHP
7)	PHP Language properties and constructions
8)	PHP / Midterm I
9)	PHP Variables, globals, syntax, Loops, decisions, functions/methods, arrays, files, strings etc.
10)	Object Oriented PHP; MySQL basics and developing database driven PHP applications
11)	AJAX Fundamentals
12)	AJAX / Midterm II
13)	JQuery; JSON
14)	Server Technologies : Configuring Apache Web Server

Sources

Course Notes / Textbooks:	Steven A. Gabarro, “Web Application Design and Implementation”, Wiley, ISBN: 0-471-77391-3
References:	Online resources, manuals

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	1	% 10
Homework Assignments	2	% 10
Project	1	% 20
Midterms	2	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	16	2	32
Presentations / Seminar	1	4	4
Project	1	24	24
Homework Assignments	2	5	10
Midterms	2	4	8
Final	1	6	6
Total Workload			126

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.