MATHEMATICS
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
GEN4058	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 :	Prof. Dr. GÜLAY BULUT
Recommended Optional Program Components:	There is none.
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	Reading
2)	Foreseeing the Emerging Bioeconomy	Reading
3)	Drivers of BioEconomy	Reading
4)	Population and Consumption	Reading
5)	Food and Water	Reading
6)	Healthcare	Reading
7)	Technology	Reading
8)	State of Bioeconomy Today	Reading
9)	Institutional and Social Drivers	Reading
10)	Business of BioEconomy	Reading
11)	Emerging Business Models	Reading
12)	Knowledge Based BioEconomy	Reading
13)	Entrepreneurship in BioEconomy	Reading
14)	Summary	Reading

Sources

Course Notes / Textbooks:	Lecture notes, handouts, key papers will be distributed each week.
References:	1)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	14	% 20
Homework Assignments	14	% 20
Presentation	1	% 10
Midterms	1	% 10
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	5	70
Presentations / Seminar	1	2	2
Homework Assignments	14	2	28
Midterms	1	2	2
Final	1	2	2
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)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,	4
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.