Mathematics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

MATH411

Course Name:

Capstone Project 1

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

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:

Prof. Dr. SELÇUK DEMİR

Course Lecturer(s):

Prof. Dr. Hüseyin Ali Nesin, Prof. Dr. Selçuk Demir, Prof. Dr. Şükrü Yalçınkaya, Asst. Prof. Dr. Doğa Can Sertbaş

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of the course is to use the knowledge and skills acquired within the scope of the department's academic program to learn topics outside the academic program, teach critical thinking and problem-solving skills when addressing mathematical problems encountered in this context, and enable effective communication to various audiences through written reports and oral presentations.
Course Content:	This course provides an opportunity for students to apply the knowledge and skills they have acquired throughout their academic programs. Under the guidance of a faculty advisor, students work on a mathematical problem. Throughout the course, students are expected to demonstrate critical thinking, problem-solving, and communication skills.

Learning Outcomes

The students who have succeeded in this course;
1) Apply the mathematical knowledge learned within the academic program to new mathematical topics.
2) Develop research skills and presents approaches for newly encountered problems.
3) Comprehend the presentation and communication skills that are necessary for mathematical presentations.

Course Flow Plan

Week	Subject	Related Preparation
1)	Weekly Meeting
2)	Weekly Meeting
3)	Weekly Meeting
4)	Weekly Meeting
5)	Weekly Meeting
6)	Weekly Meeting
7)	Weekly Meeting
8)	Interim Report
9)	Weekly Meeting
10)	Weekly Meeting
11)	Weekly Meeting
12)	Weekly Meeting
13)	Weekly Meeting
14)	Final Report

Sources

Course Notes / Textbooks:	The art of mathematics, Bela Bollobas
References:	proofs from the book, Martin Aigner, Günter M. Ziegler

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2)	Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3)	Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4)	Have the ability to think analytically and use the time effectively in the process of deduction.
5)	Have the ability to search the literature, understand and interpret scientific articles.	3
6)	Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7)	Have the ability to work efficiently in interdisciplinary teams.	2
8)	Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.	3
9)	Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.	2
10)	Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.	3
11)	Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
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
Application	13	0	3		39
Study Hours Out of Class	13	0	2		26
Midterms	1	0	15		15
Final	1	0	25		25
Total Workload					105