GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

APPLIED MATHEMATICS ANALYSIS/5921305

Course Title:	APPLIED MATHEMATICS ANALYSIS
Credits	3	ECTS	7.5
Course Semester	1	Type of The Course	Elective

COURSE INFORMATION

-- (CATALOG CONTENT)

-- (TEXTBOOK)

-- (SUPPLEMENTARY TEXTBOOK)

-- (PREREQUISITES AND CO-REQUISITES)

-- LANGUAGE OF INSTRUCTION

Turkish

-- COURSE OBJECTIVES

-- COURSE LEARNING OUTCOMES

Be capable of matematical analysis of some PDEs.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

--WEEKLY SCHEDULE
1. Week	Periodic functions and periodic distributions.
2. Week	Periodic functions and periodic distributions.
3. Week	Mean functions.
4. Week	Mean functions.
5. Week	Equations and boundary value problems.
6. Week	Equations and boundary value problems.
7. Week	Hilbert Space methods and linear elliptic differential equations
8. Week	Hilbert Space methods and linear elliptic differential equations
9. Week	Hilbert Space methods and linear elliptic differential equations
10. Week	Hilbert Space methods and linear elliptic differential equations
11. Week	Hilbert Space methods and linear hyperbolic differential equations
12. Week	Hilbert Space methods and linear parabolic differential equations
13. Week	Hilbert Space methods and linear parabolic differential equations
14. Week	Hilbert Space methods and linear parabolic differential equations
15. Week
16. Week

-- TEACHING and LEARNING METHODS

-- ASSESSMENT CRITERIA

	Quantity	Total Weighting (%)
Midterm Exams	1	30
Assignment	1	10
Application	0	0
Projects	1	10
Practice	0	0
Quiz	0	0

Percent of In-term Studies		50
Percentage of Final Exam to Total Score		50

-- WORKLOAD

Activity	Total Number of Weeks	Duration (weekly hour)	Total Period Work Load
Weekly Theoretical Course Hours	14	3	42
Weekly Tutorial Hours			0
Reading Tasks	5	16	80
Searching in Internet and Library	8	5	40
Material Design and Implementation			0
Report Preparing			0
Preparing a Presentation			0
Presentation	1	4	4
Midterm Exam and Preperation for Midterm Exam	1	15	15
Final Exam and Preperation for Final Exam	1	15	15
Other (should be emphasized)			0
TOTAL WORKLOAD:			196
TOTAL WORKLOAD / 25:			7.84
Course Credit (ECTS):			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1	To be able to develop their knowledge of theory and applications at master degree depending on the competencies acquired in undergraduate level.			X
2	To be able to recognize different problems encountered in mathematics and to be able to make studies for their solutions.				X
3	To be able to formulate new solutions with scientific methods mostly based on analysis and synthesis.			X
4	To be able to carry out his/her works either independently or in groups within a project considering his/her knowledge on the field he/she works in a critical approach.				X
5	To be able to continue his/her works considering social, scientific and ethical values.				X
6	To be able to follow scientific and social developments related to his/her field.			X
7	To be able to carry out his/her works within the framework of quality management, workplace safety and environmental awareness and to be able to present systematically his/her works using various methods like written, oral or visual.				X
8	To be able to use methods of accessing knowledge effectively in accordance with ethical values.			X
9	To be able to use knowledge in other disciplines by combining it with mathematical information.			X
10	To be able to make activities in the awareness of need for lifelong learning.				X
11	To be able to make connections between mathematical and social concepts and produce solutions with scientific methods.				X
12	To be able to use his/her mathematical knowledge in technology.		X

-- NAME OF LECTURER(S)

(Prof.Meryem Kaya)

-- WEB SITE(S) OF LECTURER(S)

(http://websitem.gazi.edu.tr/site/meryemk)

-- EMAIL(S) OF LECTURER(S)

(meryemk@gazi.edu.tr)

Gazi University