TÜRKÇE
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Information
| Code | BFZ610 |
| Name | Advanced Data analysis in Biophysics (Z) |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 7 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 |
Prof. Dr. IŞIL ÖCAL
(A Group)
(Ins. in Charge)
Prof. Dr. MUSTAFA EMRE (B Group) (Asst. Ins.) Prof. Dr. AYKUT PELİT (C Group) (Asst. Ins.) Doç. Dr. FİGEN ÇİÇEK (D Group) (Asst. Ins.) Doç. Dr. ÇAĞIL COŞKUN (E Group) (Asst. Ins.) |
Course Goal / Objective
To teach the classification of numerical data obtained from the measurements made, to comprehend the graphic drawings by using the statistical program to be applied.
Course Content
Measurements in biophysics, nerve conduction velocity, nerve action potential, muscle contraction, muscle relaxation, reflex tests, molecular measurements, graphic programs, statistical programs
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 Research
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the devices used in measurements |
| LO02 | Measures the numerical data measured from the devices used with its units. |
| LO03 | Categorizes the numerical data measured from the devices |
| LO04 | Learns the computer programs to use |
| LO05 | Learns the statistical program to be applied to the received numerical data. |
| LO06 | numerical data is evaluated statistically |
| LO07 | Draws graphs according to statistical data. |
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 | 1 |
| PLO03 | Bilgi - Kuramsal, Olgusal | To prepare a project proposal by itself | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | To plan an experimental research | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | To make a report as a result of the research | 1 |
| 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 | |
| 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 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | What is measurement?What are the measurement errors? | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Devices used in biophysics | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 3 | Numerical data received from devices | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Ölçülen verilerin sınıflandırılması | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Beyin Fırtınası |
| 5 | Recording of digital data in computer environment | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 6 | Computer Programs Used | Student reads the related section before class | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 7 | Statistics programs | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Studying lecture notes | Ölçme Yöntemleri: Yazılı Sınav, Ödev, Performans Değerlendirmesi |
| 9 | Which statistical program should be used for which data? | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 10 | Graphics Programs | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Entering given to SP Program | Student reads the related section before class | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | graphic drawing | Student reads the related section before class | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Evaluation of sample statistical data | Student reads the related section before class | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Evaluation of graphics with SP | Student reads the related section before class | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Analysis of data evaluated statistically | Student reads the related section before class | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 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 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 9 | 9 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 173 | ||
| Total Workload / 25 (h) | 6,92 | ||
| ECTS | 7 ECTS | ||