ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Neuroscience (Master) (with Thesis) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code: | SBY5012 | ||||
| Course Name: | Biostatistics | ||||
| Semester: |
Fall Spring |
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| Course Credits: |
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| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Dr. Öğr. Üy. GÖKÇER ESKİKURT | ||||
| Course Lecturer(s): | Asst. Prof. Gökçer Eskikurt | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | To give basic information about biostatistics and to provide a basis for future research courses. |
| Course Content: | This course; Introduction to the Course, Course Learning Outcomes and Establishment of the Relationship between Program Competencies Definition of Statistics - Major Stages of Statistical Methodology - Statistics in Medical and Health Sciences, Data Collection and Data Regularization and Display, Descriptive Statistical Analysis: Measures of Central Tendency: Averages - Analytical Averages, Averages (continued) : Non-Analytical Averages, Descriptive Statistics (continued): Variability and its Measures - Skewness and its Measures,Descriptive Statistics: Problem Solving,Normal Distribution and Properties,Normal Distribution (continued): Standard Normal Distribution - Normal Distribution Applications,Introduction to Inductive Statistical Analysis: Sampling and Sampling Techniques: Simple Random Sampling: Estimation of the Measures of the Main Population, Simple Random Sampling (continued): Estimation of the Mean of the Population, Simple Random Sampling: (continued): Estimation of the Proportion of the Main, Introduction to Statistical Relationship Analysis, Research Stages and Ethics in Research, General Review. |
Learning Outcomes
|
The students who have succeeded in this course;
1) Be able to interpret descriptive statistics 2) Interpret tables and graphs 3) Identify data belonging to variables and variables 4) Interpret normal distribution data 5) Writing hypothesis 6) Calculate sample size 7) Knows the basic concepts about Statistical Association Analysis. 8) Knows Normal Distribution and its properties. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Major Stages of Statistical Methodology - Statistics in Medicine and Health Sciences | |
| 2) | Data Collection and Data Organization and Display | |
| 3) | Descriptive Statistical Analysis: Measures of Central Tendency: Averages - Analytical Averages | |
| 4) | Averages (continued) : Non-Analytical Averages | |
| 5) | Descriptive Statistics (continued): Variability and its Measures - Skewness and its Measures | |
| 6) | Descriptive Statistics: Problem Solving | |
| 7) | Normal Distribution and Properties | |
| 8) | Normal Distribution (continued): Standard Normal Distribution - Normal Distribution Applications | |
| 9) | Introduction to Inductive Statistical Analysis: Sampling and Sampling Techniques: Simple Random Sampling: Estimation of Measures of Constitution | |
| 10) | Simple Random Sampling (continued): Estimation of the Mean of the Main | |
| 11) | Simple Random Sampling: (continued): Estimation of the Constitution Rate | |
| 12) | Introduction to Statistical Relationship Analysis | |
| 13) | Research Stages and Ethics in Research | |
| 14) | General Review |
Sources
| Course Notes / Textbooks: | Ders notları |
| References: | Fundamentals of Biostatistics - Bernard Rosner |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|---|---|---|---|---|---|---|---|---|
| Program Outcomes | ||||||||
| 1) To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning. | ||||||||
| 2) To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases. | ||||||||
| 3) To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods. | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
| 4) Ability to use communication and computer technologies efficiently in their work. | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 5) Transcribe and present the findings and research results verbally or in writing. | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 6) Ability to work within the team in the field of neuroscience research | ||||||||
| 7) Undertake the responsibility of the task alone and carry out independent work. | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 8) Having a sense of ethical responsibility in research. | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning. | |
| 2) | To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases. | |
| 3) | To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods. | 2 |
| 4) | Ability to use communication and computer technologies efficiently in their work. | 1 |
| 5) | Transcribe and present the findings and research results verbally or in writing. | 2 |
| 6) | Ability to work within the team in the field of neuroscience research | 1 |
| 7) | Undertake the responsibility of the task alone and carry out independent work. | |
| 8) | Having a sense of ethical responsibility in research. | 2 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 40 |
| Final | 1 | % 60 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 28 |
| Study Hours Out of Class | 14 | 126 |
| Homework Assignments | 3 | 15 |
| Midterms | 1 | 10 |
| Final | 1 | 10 |
| Total Workload | 189 | |