1	Course Title:	BUSINESS MATHEMATICS II
2	Course Code:	IIZ1402
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Dr. Ögr. Üyesi ŞÜKRÜ DOKUR
16	Course Lecturers:	Dr.Kadir Yasin Eryiğit
17	Contactinformation of the Course Coordinator:	Dr.Kadir Yasin Eryiğit Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Ekonometri Bölümü 16059 Gorukle/Bursa Turkey Telefon: +90 224 2941135 Fax: +90 224 2941003
18	Website:
19	Objective of the Course:	To develop analytical thinking, solution producing to more complex problems and result evaluating skills of the students. And to provide a strong quantitative basis for the rest of the program courses.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able to state business problems with multi-variable functions.; 2 To be able to optimize the mathematical model of the problem.; 3 To be able to apply integral rules to business problems; 4 To be able to do basic calculations with matrices; 5 To be able to solve linear equation systems and their applications to business problems.; 6 To be able to optimize the matrix models with different techniques; 7 To be able to make economic evaluations with the results of the model;

22	Course Content:

Week	Theoretical	Practical
1	Multi-variable functions
2	Derivatives of multi-variable functions and partial derivative rules
3	Optimization of multi-variable functions
4	Constrained optimization and Lagrange multipliers applications
5	Business applications of multi-variable functions
6	Description and rules of integral and indefinite integral
7	Definite integral and area calculation with integral
8	Business applications of integral
9	Introduction to matrix algebra
10	Definition of determinants, calculation of inverse matrix with Co-factors and determinants
11	Calculation of inverse matrix with Gauss elimination method, linear equations
12	Solving linear equations with Gauss elimination method and inverse matrix
13	Solving linear equations with Cramer Method
14	Business applications of matrices

23	Textbooks, References and/or Other Materials:	1. Mustafa Aytaç, Mustafa Sevüktekin, Erkan Işığıçok, Sosyal Bilimlerde Matematik, Ezgi Kitabevi, Bursa, 2010. 2. Mustafa Sevüktekin, Zehra Başkaya, Matematiksel Analiz: İşletme ve Ekonomi Uygulamaları, Dora Yayıncılık, Bursa, 2010. 3. Bülent Kobu, İşletme Matematiği, Beta Yayınevi, İstanbul, 2008. 4. Ahmet Öztürk, Matematiksel Analize Giriş, Ekin Kitabevi, Bursa, 1993.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	5	70
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	20	20
Others	0	0	0
Final Exams	1	25	25
Total WorkLoad			157
Total workload/ 30 hr			5,23
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 5 3 4 5 3 4 5 3 4 3 5 4 LO2 3 5 4 3 5 4 3 4 5 3 4 5 LO3 5 4 5 3 4 5 3 4 4 3 3 3 LO4 5 5 3 4 5 3 4 3 3 3 3 5 LO5 4 5 3 3 3 5 5 5 3 4 4 4 LO6 5 3 4 5 3 3 4 4 5 3 3 5 LO7 3 3 3 3 5 4 5 3 4 5 3 4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High