SOFTWARE 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
GEP0634	Exploring the Future of Agriculture	Fall Spring	3	0	3	4

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:	GE-Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Assist. Prof. MÜGE KESİCİ
Recommended Optional Program Components:	yok
Course Objectives:	The aim of this course is to present the developmental stages of agriculture through human history and the projection into the future. In addition, it is to ensure that they have information about how today's technologies and possible future scenarios will affect and direct agriculture. At the end of the course, students will design the agriculture of the future with the knowledge they have acquired.

Learning Outcomes

The students who have succeeded in this course;
Gain information about agriculture history.
Comprehend the contribution of technology to the agriculture.
Learn about agricultural revolutions.
Learn technological examples in agriculture.
Understand the relationship between agriculture and technology.
Gain knowledge about GMOs.
Learn AI, GPS and drone technology in agriculture.
Have foresight about the future of agriculture

Course Content

Students who responsible the course are expected to follow the course in MSTeams during the course hours.

Students who have questions can have either an online or a face-to-face meeting with the instructor during the office hours.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to the course	yok
2)	Agriculture history	yok
3)	Agricultural revolutions	yok
4)	Technology and Agriculture Relation	yok
5)	Food safety and GMOs	yok
6)	Green Biotechnology	yok
7)	Information Technologies in Agriculture	yok
8)	Mid term exam	yok
9)	Artificial Intelligence Technology in Agriculture	yok
10)	Greenhouse technologies in Agricultural production	yok
11)	Talking Plants	yok
12)	GPS and GIS Systems in Agriculture	yok
13)	Student assignment presentations	yok
14)	Student assignment presentations	yok

Sources

Course Notes / Textbooks:	ArtificiAl intelligence in Agriculture, CRC Press, 2022. Ed: Rajesh Singh FAO, The Future of Food and Agriculture: Trends and Challenges, 2017. Bilimsel makaleler
References:	ArtificiAl intelligence in Agriculture, CRC Press, 2022. Ed: Rajesh Singh FAO, The Future of Food and Agriculture: Trends and Challenges, 2017. Scientific articles

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Presentation	1	% 20
Midterms	1	% 30
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	13	3	39
Study Hours Out of Class	13	3	39
Presentations / Seminar	2	6	12
Homework Assignments	1	10	10
Midterms	1	2	2
Final	1	2	2
Total Workload			104

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)	Be able to specify functional and non-functional attributes of software projects, processes and products.
2)	Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3)	Be able to develop a complex software system with in terms of code development, verification, testing and debugging.
4)	Be able to verify software by testing its program behavior through expected results for a complex engineering problem.
5)	Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.
6)	Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7)	Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.
8)	Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.
9)	Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.
10)	Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities.	4
11)	Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.	3
12)	Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13)	Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.	3