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 Education

Course Code

MATH 237

Course Title in English

Probability and Statistics

Course Title in Turkish

Probability and Statistics

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Seçiniz

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation:

Lab:

Other:

Estimated Student Workload

152 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

MATH 133 - Calculus

Expected Prior Knowledge

None

Co-requisites

None

Registration Restrictions

None

Overall Educational Objective

Students who successfully complete this course: 1. define the basics of probability and statistics; 2. be able to analyze discrete and continuous probability distributions; 3. apply statistical problems to solve engineering problems.

Course Description

To learn the basics of probability and statistics and their applications in engineering problems.

Course Description in Turkish

Olasılık ve istatistiğin temellerini ve bunların mühendislik problemlerindeki uygulamalarını öğrenmek.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) The fundamental concepts of statistics
1) The fundamental concepts of statistics
2) Ways to organize and describe data sets
2) Ways to organize and describe data sets
3) How to determine the probability of an event
3) How to determine the probability of an event
4) How to create and use probability distributions
5) How to recognize normal distributions and how to use their properties in real-life applications
6) Inferential statistics, both estimate a population parameter and how to test a claim about a population parameter(s)
7) How to describe and test the significance of relationships between two variables when data are presented as ordered pairs
8) Test a hypothesis that compares one or two populations

Program Learning Outcomes/Course Learning Outcomes	1	1	2	2	3	3	4	5	6	7	8
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	İBRAHİM BURAK ÖLMEZ ,
Course Coordinator	BENGİ BİRGİLİ
Semester	Fall
Name of Instructor	Asst. Prof. Dr. İBRAHİM BURAK ÖLMEZ

Course Contents

Week	Subject
1)	Definition and rules of probability
2)	Definition and rules of probability
3)	Fundamentals of random variables
4)	Discrete probability distributions
5)	Discrete probability distributions
6)	Continuous probability distributions
7)	Continuous probability distributions
8)	Multivariate probability distributions
9)	Multivariate probability distributions
10)	Statistics, sampling and sampling distributions
11)	Estimation
12)	Hypothesis Testing
13)	Hypothesis Testing
14)	Simple regression
15)	Final Examination Period
16)	Final Examination Period

Required/Recommended Readings

Compulsory: Probability and Statistics for Engineers, R. L. Scheaffer, J.T. McClave, Duxbury Press, 5th Edition, 2010 Suggested: Introduction to Probability and Statistics for Engineers and Scientists, S. M. Ross, John Wiley& Sons, 4th Edition, 2009 Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences, J.S. Milton, McGraw-Hill, 4th Edition, 2002

Teaching Methods

Homework and Projects

Laboratory Work

Computer Use

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Quiz(zes)	1	% 20
Project	1	% 15
Midterm(s)	1	% 35
Final Examination	1	% 30
TOTAL		% 100

Course Administration

olmezi@mef.edu.tr

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	1	3	1	70
Laboratory	10	2	1		30
Midterm(s)	2	12	2		28
Final Examination	1	22	2		24
Total Workload					152
Total Workload/25					6.1
ECTS					6