TOROS ÜNİVERSİTESİ
Bilgi Paketi Ders Kataloğu

Course Information

MATHEMATICS II
Code	Semester	Theoretical	Practice	National Credit	ECTS Credit
		Hour / Week
MAT104	Spring	3	0	3	5

Prerequisites and co-requisites
Language of instruction	English
Type	Required
Level of Course	Bachelor's
Lecturer	Asst Prof. Dr. Gökçe MANAVGAT
Mode of Delivery	Face to Face
Suggested Subject
Professional practise ( internship )	None
Objectives of the Course	The aim of this course is to learn the advance mathematical concepts and applications by adapting business and economic science., Introduction to calculus, limit and continuity, differentiation, partial differentiation, integration and matrix algebra will be explained, and examples of economic events will be solved
Contents of the Course	Limit and Continuity, derivative of a function, partial differentiations, integration, matrices, matrices rule, Cramer’s rule, linear programing

Learning Outcomes of Course

#	Learning Outcomes
1	Analysing function concept and developing functional thinking ability
2	Use sum and multiplication symbols
3	Analysing and apply limit concept
4	Analysing and use the concept of derivative and its applications
5	Analysing and applying the concept of integral

Course Syllabus

#	Subjects	Teaching Methods and Technics
1	Limit and Continuity, Limit Rules Uncertainty	Face-to-face identification and example
2	Limit and Continuity, Limit Rules Uncertainty	Face-to-face identification and example
3	Differentiation, The derivative of a function, Rules of differentiation, Further rules of differentiation	Face-to-face identification and example
4	Differentiation, The derivative of a function, Rules of differentiation, Further rules of differentiation	Face-to-face identification and example
5	Partial Differentiation, Functions of several variables, Unconstrained and constrained optimization	Face-to-face identification and example
6	Partial Differentiation, Functions of several variables, Unconstrained and constrained optimization	Face-to-face identification and example
7	Functions of several variables, Unconstrained and constrained optimization and applications	Face-to-face identification and example
8	Problem Sets	Face-to-face identification and example
9	Midterm exam	Writtin exam
10	Integration, Indefinite integration, Definite integration	Face-to-face identification and example
11	Integration, Indefinite integration, Definite integration	Face-to-face identification and example
12	Integration advanced applications	Face-to-face identification and example
13	Matrices, Basic matrix operations, Scalar multiplication, Matrix multiplication, Matrix inversion	Face-to-face identification and example
14	Matrices, Basic matrix operations, Scalar multiplication, Matrix multiplication, Matrix inversion	Face-to-face identification and example
15	Matrices, Cramer’s rule, Exercises	Face-to-face identification and example
16	Final Exam	Writtin exam

Course Syllabus

#	Material / Resources	Information About Resources	Reference / Recommended Resources
1	Jacques, Ian (2018). Mathematics for Economics and Business, Pearson Global 9th Edition (Course Book)	Pearson Global	Course book
2	Essential Mathematics for Economic Analysis by Knut Sydsaeter and Peter Hammond, 5th Edition		Supplement
3	Çakıcı M., Yılmaz C., Bancuoğlu, H. ve Özdil T. (2008). İktisadi ve İdari Bilimler için Matematik		Supplement

Method of Assessment

#	Weight	Work Type	Work Title
1	40%	Mid-Term Exam	Mid-Term Exam
2	60%	Final Exam	Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

#	Learning Outcomes	Program Outcomes	Method of Assessment
1	Analysing function concept and developing functional thinking ability	1͵4͵6͵8͵9͵10	1͵2
2	Use sum and multiplication symbols	1͵4͵6͵8͵12	1͵2
3	Analysing and apply limit concept	1͵4͵6͵8	1͵2
4	Analysing and use the concept of derivative and its applications	1͵4͵6͵8	1͵2
5	Analysing and applying the concept of integral	1͵4͵6͵8	1͵2

PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

#	Type of Work	Quantity	Time (Hour)	Work Load
1	Course Duration	14	3	42
2	Course Duration Except Class (Preliminary Study, Enhancement)	14	2	28
3	Presentation and Seminar Preparation	0	0	0
4	Web Research, Library and Archival Work	0	0	0
5	Document/Information Listing	0	0	0
6	Workshop	0	0	0
7	Preparation for Midterm Exam	1	28	28
8	Midterm Exam	1	2	2
9	Quiz	0	0	0
10	Homework	0	0	0
11	Midterm Project	0	0	0
12	Midterm Exercise	0	0	0
13	Final Project	0	0	0
14	Final Exercise	0	0	0
15	Preparation for Final Exam	1	47	47
16	Final Exam	1	3	3
				150