Molecular Biology and Genetics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

ENS020

Course Name:

Introduction to Optimization

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. EMRE ÇAKMAK

Course Lecturer(s):

Emre Cakmak

Course Assistants:

Course Objective and Content

Course Objectives:	This course aims to understand basic quantitative techniques concepts and mathematical modeling, formulate the mathematical model, apply linear programming method to the real life problems and apply the simplex method the linear programming problems
Course Content:	Introduction / The mathematical methods of operations research / Formulation of the mathematical problems / Solving the mathematical problems by graphical method / Integer Programming / Introduction the Excel Solver

Learning Outcomes

The students who have succeeded in this course;
1) Have knowledge about basic quantitative techniques
2) Able to develop mathematical model
3) Able to solve mathematical models with graphical
4) Able to solve some mathematical models by using the integer programming

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction
2)	The mathematical methods of operations research
3)	Formulation of the mathematical problems
4)	Formulation of the mathematical problems -II
5)	Solving the mathematical problems by graphical method
6)	Solving the mathematical problems by graphical method - II
7)	Midterm
8)	Integer programming
9)	Mixed Integer Programming
10)	Integer Prıgramming Examples
11)	Midterm - II
12)	Introduction the Excel Solver
13)	Solving the mathematical problems by Excel Solver I
14)	Solving the mathematical problems by Excel Solver - II

Sources

Course Notes / Textbooks:	Winston, W.L. (2004). Operations Research: Applications and Algorithms, 4th Ed., Thomson Learning. Hillier F.S. and Lieberman, F.S. (2015). Introduction to Operation Research, 10th Edition, McGraw-Hill Education
References:	Lecture Notes

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Has a theoretical and practical background in biology, chemistry, physics and mathematics, which constitute the basic knowledge in the field of molecular biology and genetics.
2) Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3) Has the basic laboratory knowledge and skills required by the field.
4) Works in accordance with scientific principles and ethical rules.
5) Uses procedural and mathematical software programs required for the analysis and basic evaluation of biological data at least at the European Computer License Basic Level.
6) Has the knowledge, culture and skills to follow the literature and current methods related to his field.
7) Will be able to identify the main problem in line with the needs in health, agriculture, animal husbandry, environment, industry and similar issues and offer the necessary solutions by using up-to-date technology.
8) Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.
9) Has the ability to be involved in individual and group work, to prepare and carry out projects on specific topics, and to make written and oral presentations.
10) Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
11) Has the ability to identify social and global problems using his / her field knowledge and to be a part of the solution in interdisciplinary cooperation.
12) Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has a theoretical and practical background in biology, chemistry, physics and mathematics, which constitute the basic knowledge in the field of molecular biology and genetics.
2)	Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3)	Has the basic laboratory knowledge and skills required by the field.
4)	Works in accordance with scientific principles and ethical rules.
5)	Uses procedural and mathematical software programs required for the analysis and basic evaluation of biological data at least at the European Computer License Basic Level.
6)	Has the knowledge, culture and skills to follow the literature and current methods related to his field.
7)	Will be able to identify the main problem in line with the needs in health, agriculture, animal husbandry, environment, industry and similar issues and offer the necessary solutions by using up-to-date technology.
8)	Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.
9)	Has the ability to be involved in individual and group work, to prepare and carry out projects on specific topics, and to make written and oral presentations.
10)	Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
11)	Has the ability to identify social and global problems using his / her field knowledge and to be a part of the solution in interdisciplinary cooperation.	2
12)	Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 20
Midterms	2	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	2			28
Quizzes	2	15			30
Midterms	1	20			20
Final	1	35			35
Total Workload					113