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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
60541TATOZ-ISL0042 Business Mathematics II 1 Spring 3 0 3 5
Course Type : Compulsory
Cycle: Bachelor      TQF-HE:6. Master`s Degree      QF-EHEA:First Cycle      EQF-LLL:6. Master`s Degree
Language of Instruction: English
Prerequisities and Co-requisities: N/A
Mode of Delivery: Face to face
Name of Coordinator: Instructor GÜRKAN ŞASİ
Dersin Öğretim Eleman(lar)ı: Instructor ERSİN ŞAHİN
Dersin Kategorisi: Field Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The course comprises two basic parts.
The objective of the first part is to transmit to the student applications of the differential calculus as optimization of real variable real functions, analysis and graphically representation of them, as well as fundamental on integration.
The objective of the second part is to improve student’s knowledge on elementary linear algebra necessary to follow other relevant courses.
Course Content: Week 1: Applications of the derivative of a function and related theorems. Indefinite limits and L’Hospital rule.
Week 2: Indefinite limits and L’Hospital rule.
Week 3: Multiple derivatives, the nth derivative of some special functions. 2nd order and multiple derivatives of parametric and implicite functions.
Week 4: Quiz 1. Taylor and Mc-Laurin power series expansions of one real variable functions.
Week 5: Analysis and graphic representations of one real variable functions.
Week 6: Analysis and graphic representations of one real variable functions.
Week 7: Primitive and definite integral of a function. Integration rules – Change of variable.
Week 8: Integration rules – Partial integration.
Week 9: Integration rules – Decomposition in simple elements.
Week 10: Mid Term.
Week 11 :Determinants, properties, kinds and computation of a determinant.
Week 12: Concept of matrices, properties and operations with matrices manually and using Excel
Week 13: Quiz 2. Rules for solving linear equation systems using determinants and matrices. Discussion of the existence of roots of linear equation systems.
Week 14: Rules for solving linear equation systems using determinants and matrices. Discussion of the existence of roots of linear equation systems.
week 15:
Economic applications of derivative
Marginal Profit , cost functions
average physical product
marginal physical product
average cost func
marginal cost func
Total Revenue
Marginal Revenue
price elasticity of demand
Marginal propensity to consume
Dnege price (with tax, without tax)
Economic applications of the integral
Consumer and Producer surplus
Matrices
Gauss Jordan Method
Differential Equations

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Obtains the necessary numerical information in businesses.
Skills (Describe as Cognitive and/or Practical Skills.)
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Functions Yok - -
2) Derivative and derivative applications-1 Yok Materyal - -
3) Derivative and derivative applications-2 yok Materyal - -
4) *Marginal Profit, cost functions *average physical product * marginal physical product *average cost func * marginal cost func *Total Revenue *Marginal Revenue *Price elasticity of demand *Marginal propensity to consume * Dnege price (with tax, without tax) yok Materyal - -
5) Economic applications of integral -1 Yok Materyal - -
6) Economic applications of integral -2 Yok Materyal - -
7) Consumer and Producer surplus Yok Materyal - -
8) Midterm Ders Notları Materyal - -
9) Matrices Yok Materyal -
10) Gauss Jordan Method Yok Materyal - -
11) Differential Equations-1 Yok Materyal -
12) Differential Equations-2 Yok Materyal - -
13) Non-linear models Yok Materyal -
14) Infinite Series and sequences Yok Materyal - -
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: 1."Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences" by E.F. Haeussler, R. S. Paul, R.J. Wood, 14th Edition, Pearson,2018. ISBN-13:978-0134141107
2.“Calculus for Business, Economics, Life Sciences, and Social Sciences” 13th Edition by R.A. Barnett, M.R. Ziegler, K.E. Byleen, Prentice Hall,2014.ISBN-13:978-0321869838
References: 1."Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences" by E.F. Haeussler, R. S. Paul, R.J. Wood, 14th Edition, Pearson,2018. ISBN-13:978-0134141107
2.“Calculus for Business, Economics, Life Sciences, and Social Sciences” 13th Edition by R.A. Barnett, M.R. Ziegler, K.E. Byleen, Prentice Hall,2014.ISBN-13:978-0321869838
3.Genel Matematik I: İşletme ve İktisat İçin, Mehmet Pekkaya.
4. Genel Matematik II: İşletme ve İktisat İçin, Mehmet Pekkaya.
5. İşletmeciler ve İktisatçılar için Matematik, Doğan Uysal.
6. İktisat ve İşletme Uygulamalı Genel Matematik,Esen Ağalı
7.İşletme matematiği- Bülent Kobu
8. İşletme matematiği-Ömer Önalan

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4 KPLO 5
1 2 1 2 1 2 3 4 1 2 3 4 1 2 3 4 5 6 7 8 9 10 11 12
CLO1

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Students learn and apply knowledge, concepts and theories in basic and sub-fields of management. 5
2) Students acquire ability to effectively plan and use economic, technological and human sources and tools in organizations by applying appropriate theories and methods. 2
3) Students have competencies of eagerness for life-long learning, easiness to comply with innovation and change as an employee/employer/manager to meet modern business life's expectations. 4
4) Students apply what they learn theoretically in real business life during a semester. 2
5) Students acquire the competencies expected by business world and society as they defined in institutional outcomes of our university on an advanced level. 4

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 2 % 10.00
Midterms 1 % 40.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 12 2 24
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 1 4 4
Total Workload of Teaching & Learning Activities - - 70
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 1 5 5
Midterms 1 20 20
Semester Final Exam 1 32 32
Total Workload of Assesment & Evaluation Activities - - 57
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 127
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 5