Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
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 | EN | ||||||||||
Type of Course | Flipped Classroom | ||||||||||
Level of Course | Select | ||||||||||
Semester | Fall | ||||||||||
Contact Hours per Week |
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Estimated Student Workload | 152 hours per semester | ||||||||||
Number of Credits | 6 ECTS | ||||||||||
Grading Mode | Standard Letter Grade | ||||||||||
Pre-requisites |
MATH 133 - Calculus |
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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 CompetencesUpon 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 |
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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. |
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 |
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 |
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Course Administration |
olmezi@mef.edu.tr |
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 |