TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Knows information about mobile application and industry. 2) Knows mobile application application marketing processes 3) Develops a mobile application in accordance with the standards and publishes the prototype it produces.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	MAN490 ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BUSINESS AND MANAGEMENT
COURSE DEFINITION	The main aim of the course; is to try to provide students with the necessary knowledge and skills in mobile application development. In this context, it is aimed that students have knowledge about mobile technologies and develop various applications for mobile devices. Through the topics that will be presented in the course, students will be informed about ways to make a business more efficient. Basically; mobile devices and platforms, user interfaces, data storage, database applications, map and location-based applications, sensors and services used in mobile devices will be emphasized.
COURSE CONTENTS	WEEK TOPICS 1st Week Course description and expectations 2nd Week UX definition and reviews 3rd Week UX definition and reviews Identifying projects 4th Week UX definition and reviews Determining the objectives of the projects 5th Week Design Processes with Adobe XD 6th Week Design processes with Adobe XD 7th Week UI description and reviews 8th Week Midterm/Delivery 9th Week Exporting past projects to Adobe XD 10th Week Design Processes with Adobe XD 11th Week Design Processes with Adobe XD 12th Week Design Processes with Adobe XD 13th Week Design Processes with Adobe XD 14th Week Design Processes with Adobe XD
RECOMENDED OR REQUIRED READING	Resources to be provided by the instructor
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture, Project
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 50 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam Preparation for Quiz Individual or group work 1 30 30 Preparation for Final exam Course hours 14 3 42 Preparation for Midterm exam Laboratory (including preparation) 2 40 80 Final exam Homework Total Workload 152 Total Workload / 30 5,06 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No