BFZ660 Neuronal network modes-2

5 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit

Information

Code BFZ660
Name Neuronal network modes-2
Term 2024-2025 Academic Year
Term Fall and Spring
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof.Dr. İSMAİL GÜNAY
Course Instructor
1


Course Goal / Objective

To learn neuron signals in muscle and nerve connections in central and peripheral nervous system and to create electrical circuit models.

Course Content

Introduction to neuron and neuron networks, anatomy and physiology of central and peripheral nervous system, action potential, communication between nerve and muscles, reflex arcs, electrical circuit models of neurons

Course Precondition

There is no prerequisite for the lesson

Resources

Lecture notes (For Medical Faculty Students - İsmail Günay) Biophysics (Ferit Pehlivan) Biophysics (Gürbüz Çelebi) Internet Search

Notes

Internet Search


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Knows neuron structure and neuron networks
LO02 know action potential transmission
LO03 know neuronal network modeling
LO04 know electrical modeling of neurons


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal To learn the basic information about the field 2
PLO02 Bilgi - Kuramsal, Olgusal To be able to establish experimental work in laboratory 5
PLO03 Bilgi - Kuramsal, Olgusal To prepare a project proposal by itself
PLO04 Bilgi - Kuramsal, Olgusal To plan an experimental research 2
PLO05 Bilgi - Kuramsal, Olgusal To make a report as a result of the research 3
PLO06 Bilgi - Kuramsal, Olgusal To be able to interpret research findings
PLO07 Bilgi - Kuramsal, Olgusal Having analytical thinking mechanism related to the field Accessing reliable information Creating and writing a research project Study and research based on ethic values 2
PLO08 Bilgi - Kuramsal, Olgusal Ability to transfer the theoretical knowledge to the audience in a systematic way 3
PLO09 Bilgi - Kuramsal, Olgusal To have scientific thought systematic about the profession 3
PLO10 Bilgi - Kuramsal, Olgusal Kendi başına bir proje önerisi hazırlayabilmek 2


Week Plan

Week Topic Preparation Methods
1 Introduction to neuron and neuron networks read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Central and peripheral nervous system anatomy read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Physiology of central and peripheral nervous system read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Ionic basics of Relaxation and Action potential read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Formation and transmission of action potential read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Deney / Laboratuvar
6 Neuron, synaptic transmission and related electrical circuit models read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Neuron types read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Studying lecture notes Ölçme Yöntemleri:
Yazılı Sınav, Ödev, Performans Değerlendirmesi
9 Network structures of neurons in motor and sensory communication read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Reflex arcs and modeling read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Nerve-muscle communication: motor unit read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Nerve-muscle communication: feedback circuits read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Measuring biopotentials in excitable tissues read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Comparison of artificial neurons with biological neurons read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Comparison of artificial neural networks and artificial neural networks read related resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Studying lecture notes Ölçme Yöntemleri:
Yazılı Sınav, Ödev, Performans Değerlendirmesi
17 Term Exams Studying lecture notes Ölçme Yöntemleri:
Yazılı Sınav, Ödev, Performans Değerlendirmesi


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 1 3 3
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 125
Total Workload / 25 (h) 5,00
ECTS 5 ECTS

Update Time: 15.05.2024 03:22