SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
50541GEEOZ-MTH2082	Mathematics	1	Spring	2	0	2	3

Course Type :	Compulsory
Cycle:	Associate      TQF-HE:5. Master`s Degree      QF-EHEA:Short Cycle      EQF-LLL:5. 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 Instructor GÜRKAN ŞASİ
Dersin Kategorisi:	Field Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:	Lecture topics covered in an efficient manner to teach the necessary and sufficient mathematical foundation, a better understanding of mathematics in vocational courses and provide learning about the mathematics used in their profession.
Course Content:	Review of Algebra, Applications and More Algebra, Functions and Graphs, Exponential and Logarithmic Functions, Introduction to Probability and Statistics

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) Gaining the ability to solve problems

2) Enable analytical thinking

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.)

1) To gain numerical skills

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Review of Some Algebra	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
2)	Exponents and Radicals	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
3)	Operating with Algebraic Expressions, Factoring and Fractions	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
4)	Equations, in Particular Linear and Quadratic Equations	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
5)	Applications of Equations, Linear Inequalities, Applications of Linear Inequalities, Absolute Value	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
6)	Functions and Graphs, Special Functions, Combinations of Functions, Inverse Functions	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
7)	Exponential and Logarithmic Functions	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
8)	Midterm	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
9)	Basic Counting Principle and Permutations	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
10)	Combinations and Other Counting Principles	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
11)	Sample Spaces and Events, Probability	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
12)	Conditional Probability and Independent Events	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
13)	Bayes's Formula	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood
14)	Discrete Random Variables and Expected Value	Introductory Mathematical Analysis For Business, Economics, and the Life and Social Sciences Ernest F. Haeussler, Richard S.Paul, Richard J.Wood

*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:

Introductory Mathematical Analysis for Business, Economics and Social Sciences Ernest F. Haeussler, Richard S. Paul, Richard J.Wood

References:

Textbook: Introductory Mathematical Analysis for Business, Economics and Social Sciences Ernest F. Haeussler, Richard S. Paul, Richard J.Wood Reference Book: College Mathematics for Business, Economics, Life Sciences, and Social Sciences, Global Edition | Raymond A. Barnett, Michael R. Ziegler Yüksek Matematik- Ahmet karadeniz Meslek Yüksekokulları için Genel Matematik -Sebahattin Balcı Temel Matematik-İrfan Ertuğrul Temel Matematik 1-Mahmut Kartal,Zafer Kartal, Yalçın Karagöz Genel Matematik-İbrahim Doğan, Necdet Tekin

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	3	4	5	6	7	1	2	3	4	1	2	3	4	1	2	3	4	1	2	3	4	5	6	7	8	9
CLO1
CLO2
CLO3

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)	Explains basic, theoretical and practical information about logistics management.
	1.1 Defines the purchasing and procurement processes.
	1.2 Lists warehouse operation procedures, order management, material handling, packaging and labelling processes.
	1.3 Lists the requirements of inventory management.
	1.4 Explains the operational processes of all types of transport and intermodal transport.
	1.5 Matches effectively the current information and communication technologies required by logistics management.
	1.6 Recalls both national and international legislation and regulations related to logistics area.
	1.7 Explains the occupational health and safety, environmental protection, quality and continuous improvement procedures which are deemed necessary in the field of logistics.
2)	Interprets the supply chain management philosophy.
	2.1 Lists the duties and responsibilities of all parties along the supply chain.
	2.2 Indicates the importance of information sharing and trust in the supply chain.
	2.3 Associates all logistics activities within the framework of cooperation in supply chain management.
	2.4 Explains sustainable supply chain management.
3)	Explains the basic and theoretical knowledge required by national and international business and trade.
	3.1 Interpret the knowledge of the country and the world economy.
	3.2 Explains the basic business functions and business processes.
	3.3 Recall the basic information about customs procedures.
	3.4 Explains the processes related to foreign trade (INCOTERMS and payment methods, etc.).
4)	Applies the theoretical knowledge in business life during a semester.
	4.1 Experiences all processes in business life.
	4.2 Takes part in activities related to the field of education in a business operating in the field.
	4.3 Questions the application with theoretical knowledge.
	4.4 Compiles the knowledge and experience gained in the field.
5)	Acquires the competencies defined as the institutional outcomes of Beykoz University on the basic level, inline with the expectations of business world and the society.	5
	5.1 Acquires competency of analyzing and solving the problems.	5
	5.2 Has awareness for ethical and social responsibility.
	5.3 Takes responsibility as a team member in works and operations of his/her field.
	5.4 Is aware of written, verbal communication and interaction.
	5.5 Follows the developments of advanced technology and digital transformation.
	5.6 Acquires the awareness for lifelong learning.
	5.7 Has awareness about citizenship competency.
	5.8 Evaluates the developments of his/her field with the understanding of an entrepreneur.
	5.9 Acquires communication in a Foreign Language (English) competence defined on the level of at least A2 in European Language Portfolio. (In programs whose medium of instruction is English, on the level of B1).

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.)

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	2	28
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	0	0	0
Presentations / Seminar	0	0	0
Project	0	0	0
Homework Assignments	1	7	7
Total Workload of Teaching & Learning Activities	-	-	35
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities	# of Activities per semester	Duration (hour)	Total Workload
Quizzes	2	7	14
Midterms	1	12	12
Semester Final Exam	1	15	15
Total Workload of Assesment & Evaluation Activities	-	-	41
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities)			76
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h)			3