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
COP4468	Wissen Akademi- Cross Platform Application Development	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 ECE GELAL SOYAK
Course Lecturer(s):	Dr. Öğr. Üyesi TARKAN AYDIN
Course Objectives:	Cross app development is an approach to programming for devices that combines the strengths of native programming and HTML5 app development.

Learning Outcomes

The students who have succeeded in this course;
1) Responsive Design
2)Cross Platform Application Development

Course Content

Develop cross platform apps with HTML5, JavaScript and CSS3, cordova

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Javascript
2)	HTML5
3)	CSS, CSS3
4)	Hybrid Technologies
5)	Hybrid Development Tools
6)	Responsive Design
7)	Restful Web Services
8)	AJAX
9)	Bootstrap
10)	Kendo UI
11)	JQuery- JQuery Mobile Jquery UI
12)	Cordova (phonegap)
13)	Introduction Angular, React
14)	Sample Application

Sources

Course Notes / Textbooks:	1 Apache Cordova 4 Programming (Mobile Programming) John M. Wargo 2015 ISBN-13: 978-0134048192
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 10
Homework Assignments	1	% 20
Midterms	1	% 30
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	7	98
Midterms	1	3	3
Final	1	3	3
Total Workload			146

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.