BFZ510 Basic data analysis techniques in biophysics (Z)

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

Information

Code BFZ510
Name Basic data analysis techniques in biophysics (Z)
Term 2023-2024 Academic Year
Semester . Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 7 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

To teach the classification of measurements taken in biophysics and to evaluate these data statistically and to show them with graphics.

Course Content

Measurements in Biophysics, Classification of Measurements, Recording of Received Data, Statistical Evaluation of Data, Analysis of Data, Display of Data with Graphics

Course Precondition

There is no prerequisite for the lesson

Resources

SPSS program, SP program

Notes

Internet Search


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the devices used
LO02 Learns and evaluates data ingestion from devices
LO03 Learns the statistical program to be used.
LO04 Learns the graphics program to use


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Learns basic information about the field 3
PLO02 Bilgi - Kuramsal, Olgusal Sets up and works experimental setups in the laboratory 2
PLO03 Bilgi - Kuramsal, Olgusal Prepares a project proposal on its own 1
PLO04 Bilgi - Kuramsal, Olgusal Plans an experimental study 2
PLO05 Bilgi - Kuramsal, Olgusal Reports the research result
PLO06 Bilgi - Kuramsal, Olgusal Interpret the research findings
PLO07 Beceriler - Bilişsel, Uygulamalı Has the analytical thinking mechanism related to the field, Reaches reliable information. Creates and writes a research project, works and researches based on ethical values. 2
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği She/he systematically transfers the theoretical knowledge she has researched to the audience.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Have a scientific thinking systematic in relation to their profession. 3


Week Plan

Week Topic Preparation Methods
1 Measurements in biophysics The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Devices used in measurements The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
3 Oscilloscope, stimulator, etc. The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Deney / Laboratuvar
4 Amplifier etc. The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Deney / Laboratuvar
5 Measurement and data acquisition The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Deney / Laboratuvar
6 Recording data into computer The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Deney / Laboratuvar
7 Statistical programs used in the evaluation of data The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Mid-Term Exam Studying the lessons taught throughout the semester Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 SPSS statistics program The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Bireysel Çalışma
10 Recording sample data into computer The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma
11 Statistics to be applied to sample data The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma
12 chart drawing with sample data The student reads the related section from the book and literature before the lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Bireysel Çalışma
13 Homework-1 Homework-1 Ölçme Yöntemleri:
Ödev, Performans Değerlendirmesi
14 Homework-2 Homework-2 Ölçme Yöntemleri:
Ödev, Performans Değerlendirmesi
15 Homework-3 Homework-3 Ölçme Yöntemleri:
Ödev, Performans Değerlendirmesi
16 Term Exams Term Exams Ölçme Yöntemleri:
Yazılı Sınav, Performans Değerlendirmesi
17 Term Exams Term Exams Ölçme Yöntemleri:
Yazılı Sınav, 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

Update Time: 28.11.2023 02:18