PSYC 376 Current Topics in NeuroscienceMEF 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 Econ., Admin. and Social Sciences
Course Code PSYC 376
Course Title in English Current Topics in Neuroscience
Course Title in Turkish Nörobilimde Güncel Konular
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 138 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 To gain an understanding of the study of neuroscience and its subfields; to be familiar with the hot topics of 21st century neuroscience researches and methods to carry out a research in the field.
Course Description The course aims to introduce the rapidly developing field of neuroscience, different subfields and the current research topics. Students will be introduced a basic understanding of the structure and the function of nervous system, current topics studied by the subfields including social, behavioral, affective and cognitive neuroscience and how neuroscience researches are conducted by explaining neuroimaging methods.
Course Description in Turkish Bu dersin amacı, hızlı gelişen bir alan olan nörobilimi, alt alanlarını ve bu alanların odaklandığı güncel araştırma konularını tanıtmaktır. Öğrencilere sinir sistemine dair temel bilgilerin, nörobilimin sosyal, davranışsal, afektif ve bilişsel gibi alt alanları tarafından çalışılan güncel konular ve nörogörüntüleme yöntemlerini anlatarak bu alanda yapılan araştırmaların nasıl yürütüldüğünün tanıtılması amaçlanmıştır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) understand the field of neuroscience and how it has developed until today;
2) comprehend the nervous system and basic physiological processes;
3) discuss different subfields and topics in neuroscience;
4) critique and contextualize the articles on neuroscience and develop new ideas on them;
5) practice widely used research methods in neuroscience.
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. H Exam,Participation,Presentation
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. S Participation,Presentation
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. S Participation,Presentation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. S Participation
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. H Exam,Participation,Presentation
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. H Exam,Participation,Presentation
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). H Exam,Participation,Presentation
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Select,Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. N
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. H Select,Participation
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Participation
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Select,Participation,Presentation
Prepared by and Date BANU FEMİR GÜRTUNA , March 2022
Course Coordinator BANU FEMİR GÜRTUNA
Semester Fall
Name of Instructor Asst. Prof. Dr. BANU FEMİR GÜRTUNA

Course Contents

Week Subject
1) Neuroscience: Past, present and future
2) Neuroanatomy and the Changing Brain
3) Neurotransmitters: What they are, functions, and psychology
4) Learning and Memory
5) The Brain During Sleeping and Dreaming
6) Neuromarketing: Consumer Behavior
7) Midterm
8) Neuroscience of Human Relationships
9) Social Brain
10) Affective Neuroscience: How the brain creates emotional responses?
11) Neuroimaging: What We Know So Far?
12) Animals in Research
13) Common Myths About the Brain
14) Student Presentations & Q&As
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsRequired readings: (1) Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2000). Principles of neural science. New York: McGraw-Hill, Health Professions Division. (2) Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2002). Cognitive neuroscience: The biology of the mind. New York: Norton. (3) Additional readings given by the instructor. Recommended readings: (1) Panksepp, J. (1998). Affective neuroscience: The foundations of human and animal emotions. New York: Oxford University Press. (2) Pradeep, A.K. (2010). Buying Brain: Secrets for Selling to the Subconscious Mind. New Jersey: John Wiley (3) Cozolino, Louis J. (2014). The neuroscience of human relationships: attachment and the developing social brain. New York: W.W. Norton & Company.
Teaching MethodsFlipped format will be used for the whole course. Every week, students will be assigned to online lecture and related articles will be given before the class. At be beginning of the class, it is expected that students read the related articles and understand the concepts discussed in the online lecture. In the second hour, these concepts and readings will be discussed by grouping students. All students are expected to be prepared for all classes and actively join the discussions, ask questions and try to find answers to these questions. In case students are having difficulties, they are free to contact the instructor anytime by e-mail.
Homework and ProjectsStudents are expected to read articles and related book chapters before each course. On the 14th week, students will do a presentation about one of the topics in neuroscience. Student are free to choose the subject themselves. The instructor must be informed about the presentation topics no later than the midterm week. PDF format of the presentation should be sent to the instructor the day before the presentation.
Laboratory Work-
Computer Use-
Other ActivitiesIt is expected that students will read each week’s related articles before the class and actively join the discussions in the classroom.
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 15
Presentation 1 % 15
Midterm(s) 1 % 35
Final Examination 1 % 35
TOTAL % 100
Course Administration banu.femir@gmail.com

Attendance at all classes is compulsory. Students arriving 15 min. late will not be allowed to join that class. In case of missing an exam, students must provide an acceptable and documented excuse. Make-up exam will be held for the missed exams. Students are expected to treat university staff and others respectfully at all times. The commitment of acts of cheating, lying, and deceit in any of their diverse forms such as plagiarism, and copying during examinations will not be tolerated Academic dishonesty and plagiarism: YÖK Disciplinary 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
Presentations / Seminar 1 9 2 11
Midterm(s) 1 9 2 11
Final Examination 1 16 2 18
Total Workload 138
Total Workload/25 5.5
ECTS 6