School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code MATH 104
Course Title in English Mathematics for Social Sciences II
Course Title in Turkish Sosyal Bilimler için Matematik II
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Select
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 147 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 103 - Mathematics for Social Sciences
Expected Prior Knowledge Knowledge of basic mathematical concepts and tools
Co-requisites None
Registration Restrictions Only undergraduate students
Overall Educational Objective Enhance students’ knowledge and skills in mathematics, calculus.
Course Description The goal of this course is to provide the students with a mathematical foundation and prepare them for more advanced studies in mathematics. Throughout this course, the following topics will be covered: limits, continuity, differentiation, financial mathematics, and applications of them. Also, preliminary integration and multivariable calculus will be introduced.
Course Description in Turkish Bu dersin amacı, öğrencilere matematiksel bir temel sağlamak ve onları matematik alanında daha ileri eğitimler için hazırlamaktir. Dönem boyunca şu konular ele alınacaktır: limit, süreklilik, türev, finansal matematik ve bunların uygulamaları. Ayrıca, giriş seviyesinde çok değişkenli kalkülüs ve integrale değinilecektir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Extend knowledge and skills in mathematics and get prepared for more advanced studies in Mathematics
2) Apply limits and continuity
3) Apply differentiation rules; understand the concept of marginal revenue, marginal cost, marginal propensity to consume; analyze the economic concept of elasticity
4) Sketch curves; solve maxima and minima problems
5) Apply basic integration formulas
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date DİLA ASFUROĞLU , November 2023
Course Coordinator DİLA ASFUROĞLU
Semester Spring
Name of Instructor Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week Subject
1) Introduction
2) Limits and Continuity
3) Limits and Continuity
4) Differentiation
5) Differentiation
6) Additional Differentiation Topics
7) Additional Differentiation Topics
8) Review
9) Midterm Exam
10) Curve Sketching
11) Curve Sketching
12) Curve Sketching
13) Integration
14) Review
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsErnest F. Haeussler, Richard S. Paul, Richard J. Wood, Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, 13th ed.
Teaching MethodsLectures (Flipped Classroom)
Homework and ProjectsNone
Laboratory WorkNone
Computer UseNone
Other ActivitiesPrequiz, midterm, final exam
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 5 % 20
Midterm(s) 1 % 35
Final Examination 1 % 45
TOTAL % 100
Course Administration asfuroglud@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. Missing midterm exam: No make up unless a legitimate proof of absence is presented. Missing pre-quizzes: No make up

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 1 84
Quiz(zes) 7 1 0.5 0.5 14
Midterm(s) 8 3 1 32
Final Examination 6 3 1 24
Total Workload 154
Total Workload/25 6.2
ECTS 6