Chemistry (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):

Asist. Prof. Dr. 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) Knows the basic concepts related to the theory and applications of chemistry, uses theoretical and applied knowledge, can select, develop and design methods.
2) Makes experimental planning and application for analysis, synthesis, separation and purification methods, provide solutions to the problems encountered and interpret the results.
3) Expresses the basic principles of sample preparation techniques and instrumental analysis methods used in qualitative and quantitative analysis of items, discusses their application areas.
4) Has knowledge about the sources, production, industrial applications and technologies of chemical substances.
5) Makes structural analyzes of chemical substances and interprets the results.
6) Work individually and in multidisciplinary groups, take responsibility, plan their tasks and use time effectively.
7) Follows the information in the field and communicates with colleagues by using English at a professional level.
8) Uses information and communication technologies along with computer software at the level required by the field.
9) Follows the national and international chemistry literature, transfers the knowledge gained orally or in writing.
10) Determines self-learning needs, manages/directs his/her learning.
11) Takes responsibility and adheres to the ethical values required by these responsibilities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Knows the basic concepts related to the theory and applications of chemistry, uses theoretical and applied knowledge, can select, develop and design methods.
2)	Makes experimental planning and application for analysis, synthesis, separation and purification methods, provide solutions to the problems encountered and interpret the results.
3)	Expresses the basic principles of sample preparation techniques and instrumental analysis methods used in qualitative and quantitative analysis of items, discusses their application areas.
4)	Has knowledge about the sources, production, industrial applications and technologies of chemical substances.
5)	Makes structural analyzes of chemical substances and interprets the results.
6)	Work individually and in multidisciplinary groups, take responsibility, plan their tasks and use time effectively.
7)	Follows the information in the field and communicates with colleagues by using English at a professional level.
8)	Uses information and communication technologies along with computer software at the level required by the field.
9)	Follows the national and international chemistry literature, transfers the knowledge gained orally or in writing.
10)	Determines self-learning needs, manages/directs his/her learning.
11)	Takes responsibility and adheres to the ethical values required by these responsibilities.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 20
Midterms	1	% 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