Psychology
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

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

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

Co-requisites

None

Expected Prior Knowledge

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 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) 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	MUHAMMED ABDULLAH ALTUNDAL
Semester	Fall
Name of Instructor	Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week	Subject
1)	Introductory Topics
2)	Functions
3)	Functions (Sections 4.6-4.10)
4)	Properties of Functions
5)	Properties of Functions
6)	Differentiation
7)	Differentiation (Section 6.5-6.8)
8)	Differentiation (Section 6.9-6.11)
9)	Review Week
10)	Derivatives in Use
11)	Derivatives in Use
12)	Derivatives in Use
13)	Single-Variable Optimization
14)	Single-Variable Optimization
15)	Final Examination Period
16)	Final Examination Period

Required/Recommended Readings

Essential Mathematics for Economic Analysis, 4th Edition by Knut Sydsaeter, Peter Hammond and Arne Strom, Published by Pearson, 2012.

Teaching Methods

Lectures (Flipped Learning)

Homework and Projects

Yok

Laboratory Work

None

Computer Use

None

Other Activities

Participation, midterms and final exam

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 syllabus. 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.

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