MATH 103 Mathematics for Social Sciences IMEF UniversityDegree Programs Business AdministrationGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Business Administration
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Econ., Admin. and Social Sciences
Course Code MATH 103
Course Title in English Mathematics for Social Sciences I
Course Title in Turkish Sosyal Bilimler için Matematik I
Language of Instruction EN
Type of Course Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 144 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only undergraduate students
Overall Educational Objective To learn the mathematical subjects that are necessary for economics and business education.
Course Description This course covers fundamental topics of single-variable functions and single-variable calculus. Topics include functions, graphs of functions, properties of functions, differentiation, derivatives in use, and single-variable optimization.
Course Description in Turkish Bu ders, tek değişkenli fonksiyonlar ve tek değişkenli cebirin temel konularını kapsar. İçerdiği konular fonksiyonlar, fonksiyonların grafikleri, fonksiyonların özellikleri, türev, türevin kullanım alanları ve tek değişkenli optimizasyon şeklindedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend the following mathematical subjects that are widely used in economic and business applications: functions including exponential and logarithmic functions; extreme points, elasticity, and derivatives,
2) Understand the concept of functions, sketch a graph of a function by examining the characteristics of the function;
3) Apply differentiation rules to compute derivatives of common classes of functions;
4) Interpret the economic optimization problems and find the best mathematical ways to solve them
5) Relate the mathematical concepts with possible economical and business applications that will help to evaluate real and business life issues and giving managerial decisions.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences
2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors
3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects
4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability
5) Demonstrates individual and professional ethical behavior and social responsibility
6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues
7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions
8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting
9) Displays computer proficiency to support problem solving and decision-making
10) Demonstrates teamwork, leadership, and entrepreneurial skills
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences H
2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors N
3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects N
4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability N
5) Demonstrates individual and professional ethical behavior and social responsibility S
6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues N
7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions N
8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting N
9) Displays computer proficiency to support problem solving and decision-making S
10) Demonstrates teamwork, leadership, and entrepreneurial skills N
11) Displays learning skills necessary for further study with a high degree of autonomy S
Prepared by and Date MURAT ÖZTÜRK , December 2023
Course Coordinator DİLA ASFUROĞLU
Semester Fall
Name of Instructor Assoc. Prof. Dr. YASEMİN ASU ÇIRPICI

Course Contents

Week Subject
1) Introductory Topics (Chapter 1-3)
2) Functions (Sections 4.1-4.5)
3) Functions (Sections 4.6-4.10)
4) Properties of Functions (Section 5.1-5.3)
5) Properties of Functions (Section 5.4-5.6)
6) Differentiation (Section 6.1-6.4)
7) Differentiation (Section 6.5-6.8)
8) Differentiation (Section 6.9-6.11)
9) Review Week
10) Derivatives in Use (Sections 7.1-7.3)
11) Derivatives in Use (Sections 7.4-7.7)
12) Derivatives in Use (Sections 7.8-7.12)
13) Single-Variable Optimization (Sections 8.1-8.3)
14) Single-Variable Optimization (Sections 8.4-8.7)
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsEssential Mathematics for Economic Analysis, 4th Edition by Knut Sydsaeter, Peter Hammond and Arne Strom, Published by Pearson, 2012.
Teaching MethodsLectures (Flipped Learning)
Homework and Projectsnone
Laboratory Worknone
Computer Usenone
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 10
Midterm(s) 2 % 40
Final Examination 1 % 50
TOTAL % 100
Course Administration cirpiciy@mef.edu.tr

More detailed information about the course, like office hours, can be found in the course manual. Attendance is not required, but strictly advised. The grade of the final exam will be counted for the exams that you missed upon the faculty’s approval of your excuse. Mathematics is best learned by practice. The students are expected to be open-minded and eager to try and fail. Academic Dishonesty and Plagiarism: YOK Regulation IMPORTANT: To be able to enter the final exam you need at least 20% success rate from pre-final assessment methods.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 3 2 98
Midterm(s) 2 10 2 24
Final Examination 1 20 2 22
Total Workload 144
Total Workload/25 5.8
ECTS 6