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
MBG4058	Bioeconomy	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 ELIZABETH HEMOND
Course Objectives:	This course is an introduction to the area of BioEconomy. The objective is to discuss the developments and opportunities in the areas of naturel products and biotechnology applications.

Learning Outcomes

The students who have succeeded in this course;
1.Recognize the concept of BioEconomy.
2.Discuss the areas of traditional BioEconomy and the Knowledge Based BioEconomy.

Course Content

The course covers the topics about BioEconomy and Knowledge Based BioEconomy.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Bioeconomy
2)	Foreseeing the Emerging Bioeconomy
3)	Drivers of BioEconomy
4)	Population and Consumption
5)	Food and Water
6)	Healthcare
7)	Technology
8)	State of Bioeconomy Today
9)	Institutional and Social Drivers
10)	Business of BioEconomy
11)	Emerging Business Models
12)	Knowledge Based BioEconomy
13)	Entrepreneurship in BioEconomy
14)	Presentations

Sources

Course Notes / Textbooks:	Haftalık ders notları iletilecektir. Weekly course notes will be provided.
References:	Long Term Technological and Societal Challenge, The BioEconomy to 2030: Designing a Policy Agenda (www.oecd.org/futures/bioeconomy/2030).

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	1	% 5
Homework Assignments	1	% 10
Presentation	1	% 10
Midterms	1	% 25
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	14	3	42
Study Hours Out of Class	14	6	84
Homework Assignments	14	2	28
Midterms	1	2	2
Final	1	2	2
Total Workload			158

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.