MATH 103 Mathematics for Social Sciences IMEF UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Psychology
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 Economics, Administrative 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 Learn the basic mathematical tools and foundations for undergraduate students of Business Administration and Economics at an introductory level
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) Acquire basic knowledge in fundamental mathematical techniques and subjects
2) Solve simple algebraic issues such as factorization, linear equations, linear inequalities, quadratic equations, and absolute value; make calculations with exponents and radicals; develop and model situations described by linear or quadratic equations and solve them;
3) Identify linear, exponential and logarithmic functions; find composite and inverse functions; sketch the graphs of functions; find symmetry, reflection, and rotations in Cartesian coordinates
4) Solve systems by describing equilibrium; define economic relationships as single variable functions, like demand, supply, price, revenue, cost, and profit; draw lines; evaluate slopes
5) Compute simple, compound and continuous compound interest and the future and present values; develop a strategy for solving finance problems using mathematics.
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 , December 2023
Course Coordinator DİLA ASFUROĞLU
Semester Fall
Name of Instructor Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week Subject
1) Introduction
2) Review of Algebra (CH 0)
3) Review of Algebra (CH 0)
4) Applications and more algebra (CH 1)
5) Applications and more algebra (CH 1)
6) Functions and Graphs (CH 2)
7) Functions and Graphs (CH 2)
8) Midterm exam
9) Lines, Parabolas, and Systems (CH 3)
10) Lines, Parabolas, and Systems (CH 3)
11) Exponential and Logarithmic functions (CH 4)
12) Exponential and Logarithmic functions (CH 4)
13) Mathematics of Finance (CH 5)
14) Mathematics of Finance (CH 5)
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, 14th ed.
Teaching MethodsLectures (Flipped Learning)
Homework and Projectsnone
Laboratory Worknone
Computer Usenone
Other ActivitiesPrequiz, midterm, final exam
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 10
Midterm(s) 2 % 40
Final Examination 1 % 50
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. 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

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