GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

MATHEMATICS II/SGR-104

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

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

-- EMAIL(S) OF LECTURER(S)

-- LEARNING OUTCOMES OF THE COURSE UNIT

Learn basic mathematical knowledge.
Learns the use of mathematical methods in all social sciences, especially in insurance.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

There is no prerequisite or co-requisite for this course.

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	Single Variable Optimization: Extreme Values (Critical Values), First Derivative Test
2. Week	Single variable optimizations
3. Week	Single variable optimizations
4. Week	Hessian matrix in multiple variable optimization
5. Week	Multiple variable optimizations
6. Week	Multiple variable optimizations
7. Week	Optimization under unequal constraints: Linear programming
8. Week	Arasınav
9. Week	Exponential and logarithmic functions
10. Week	Integral, Types and Undefined Integral: Basic rules and the constant
11. Week	Growth and interest problems
12. Week	Definiton of integral and its rules
13. Week	Defined integral
14. Week	Undefined integral
15. Week	Integral applications: calculations of surplus value
16. Week	Final

-- RECOMMENDED OR REQUIRED READING

Erol Yarız, Genel Matematik, Türkmen Kitabevi, 2003. Basri Çelik, Temel Matematik, Gazi Kitabevi, 2010.

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	1	40
Assignment	0	0
Exercises	0	0
Projects	0	0
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	14	3	42
Practising Hours of Course Per Week			0
Reading	2	3	6
Searching in Internet and Library	16	3	48
Designing and Applying Materials			0
Preparing Reports			0
Preparing Presentation			0
Presentation	8	3	24
Mid-Term and Studying for Mid-Term	1	1	1
Final and Studying for Final	1	3	3
Other			0
TOTAL WORKLOAD:			124
TOTAL WORKLOAD / 25:			4.96
ECTS:			5

-- COURSE'S CONTRIBUTION TO PROGRAM

NO	PROGRAM LEARNING OUTCOMES	1	2	3	4	5
1	Use mathematical and graphical tools in the field of insurance					X
2	Understand the basic concepts and assumptions related to the science of insurance	X
3	Use methods, techniques and tools necessary for the analysis and modelling of economic data to ensure and evaluate the obtained results				X
4	Describe the structure and properties of the markets in economy		X
5	Make predictions about the relationships between economic and financial variables				X
6	Analyze and comment on current economic events			X
7	Comment on Insurance Sector			X
8	Analyze the insurance companies and the insurance sector within the framework of economic, financial and accounting data			X
9	Have the ability to develop solutions for social problems			X
10	Have the ability to do inter-disciplinary research and study				X

Gazi University