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  Course Description
Course Name : Neuronal Communication And Circuit Model-1

Course Code : BFZ-560

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall and Spring (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Assoc.Prof.Dr. MUSTAFA GÜVEN

Learning Outcomes of the Course : Knows the structure of neurons and neuronal networks
Knows the conduction of the action potential
Knows the modelling of neuronal network
Knows the electrical modelling of neurons

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To learn neuronal signaling within the muscle and nerve connections in the central and peripheral nervous system , and to setup electrical circuit models.

Course Contents : Introduction the neuron and neuronal networks, anathomy and physiology of the central and peripheric nerve system, action potential,signalling between the muscles and neurons, reflex arcs, electrical circuit modelling of neurons

Language of Instruction : Turkish

Work Place : Classroom, laboratory


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Neuron and neuronal networks related reading Lecture and presentation
2 Anathomy of the central and peripheric nerve system related reading Lecture and presentation
3 Physiology of the central and peripheric nerve system related reading Lecture and presentation
4 Resting and action potentials related reading Lecture and presentation
5 Conduction of action potential related reading Lecture and presentation
6 Circuit models of neuronal networking related reading Lecture and presentation
7 Exam
8 Types of neurons related reading Lecture and presentation
9 Structures of motor and sensitive neurons related reading Lecture and presentation
10 Reflex arcs related reading Lecture and presentation
11 Nerve-muscle signalling: motor unit related reading Lecture and presentation
12 Neuron and muscle connections: feedback circuits related reading Lecture and presentation
13 Measuring biopotentials in excitable tissues related reading Lecture and presentation
14 Comparison and contrast of biologic and artificial neuron related reading Lecture and presentation
15 Comparison and contrast of biological neural networks and artificial neuron networks related reading Lecture and presentation
16/17 Homework, paper presentations related reading and homework Student presentations


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  1-Biyofizik, Ferit Pehlivan
 2-Essentials of Anatomy And Physiology,Valerie C.Scannon, Tina Sanders
 3-Guyton Tıbbi Fizyoloji, Arthur C. Guyton
 4.Lecture notes
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 80
    Homeworks/Projects/Others 1 20
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students do an experiment on their own 4
2 Students have analytic notion mechanism related to the field, they are able to have access to reliable knowledge, they are able to design and write a research project , they study depending on ethical values 3
3 Students are able to systematically impart the theoretical knowledge that is being investigated to the audience effectively and transfer it to public 3
4 Students are able to report the results of a research 5
5 Students are able to interpret the findings of a research 5
6 Students have scientific consideration related to the profession 5
7 Students do an experimental setup in the laboratory and study on it 3
8 Students plan an experimental research 3
9 Students get basic knowledge of the specialiity 5
10 Students prepare a project proposal by themselves 3
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 4 56
    Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
    Homeworks, Projects, Others 1 1 1
    Mid-term Exams (Written, Oral, etc.) 1 1 1
    Final Exam 1 1 1
Total Workload: 115
Total Workload / 25 (h): 4.6
ECTS Credit: 5