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Information
| Code | ISB540 |
| Name | Computer Aided Statistical Methods-II |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜZİN YÜKSEL |
| Course Instructor |
1 |
Course Goal / Objective
The purpose of this course is to supply the students with the ability to analyze and interpret the problems both theoretically and practically by using the data analysis program used in different fields and basic statistical methods in the SPSS.
Course Content
Data Entry, Nonparametric One Sample Tests, Nonparametric Two Independent Samples Tests, Nonparametric Two Related Samples Tests, Nonparametric K- Related Samples Tests, Loglinear Analysis, Logistic Regression Analysis, Factor Analysis, Discriminant Analysis, Cluster Analysis
Course Precondition
None
Resources
Paket Programlar ile İstatistiksel Veri Analizi II, Prof. Dr. Kazım Özdamar.
Notes
Course Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Have the ability to analyze data and information skills. |
| LO02 | Have the ability to find solutions to the problems of operational work. |
| LO03 | Learn how to use SPSS. |
| LO04 | Have the ability to analyze data with SPSS. |
| LO05 | Have the ability to apply statistics structures using SPSS in a business environment. |
| LO06 | Develop the skills in problem analysis and problem solving |
| LO07 | Develop the skills in data handling and manipulation |
| LO08 | Uses the knowledge by using SPSS documentation and other sources in the internet. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have in-depth theoretical and practical knowledge about Probability and Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | They have the knowledge to make doctoral plans in the field of statistics. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Has comprehensive knowledge about analysis and modeling methods used in statistics. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Has comprehensive knowledge of methods used in statistics. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Make scientific research on Mathematics, Probability and Statistics. | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Indicates statistical problems, develops methods to solve. | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply innovative methods to analyze statistical problems. | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Designs and applies the problems faced in the field of analytical modeling and experimental researches. | 4 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Access to information and do research about the source. | 2 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Develops solution approaches in complex situations and takes responsibility. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Has the confidence to take responsibility. | 3 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | They demonstrate being aware of the new and developing practices. | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | He/She constantly renews himself/herself in statistics and related fields. | 3 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Communicate in Turkish and English verbally and in writing. | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Transmits the processes and results of their studies clearly in written and oral form in national and international environments. | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | It considers the social, scientific and ethical values in the collection, processing, use, interpretation and announcement stages of data and in all professional activities. | 5 |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Uses the hardware and software required for statistical applications. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Data Entry and File Operations. | Reading the related source, preparing the project | Öğretim Yöntemleri: Beyin Fırtınası, Soru-Cevap |
| 2 | Nonparametric One Sample Tests | Reading the related source, preparing the project | Öğretim Yöntemleri: Soru-Cevap, Alıştırma ve Uygulama |
| 3 | Nonparametric 2-Independent Samples Tests | Reading the related source, preparing the project | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 4 | Nonparametric Two Independent Samples Tests II | Reading the related source, preparing the project | Öğretim Yöntemleri: Soru-Cevap, Örnek Olay |
| 5 | Nonparametric Two Related Samples Tests | Reading the related source, preparing the project | Öğretim Yöntemleri: Tartışma, Örnek Olay |
| 6 | Nonparametric K-Related Samples Tests | Reading the related source, preparing the project | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
| 7 | Examples | Reading the related source, preparing the project | Öğretim Yöntemleri: Problem Çözme, Proje Temelli Öğrenme |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Loglinear Analysis | Reading the related source, preparing the project | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 10 | Logistic Regression Analysis | Reading the related source, preparing the project | Öğretim Yöntemleri: Alıştırma ve Uygulama, Beyin Fırtınası |
| 11 | Logistic Regression Analysis and Application II | Reading the related source, preparing the project | Öğretim Yöntemleri: Bireysel Çalışma |
| 12 | Factor Analysis | Reading the related source, preparing the project | Öğretim Yöntemleri: Soru-Cevap, Alıştırma ve Uygulama |
| 13 | Discriminant Analysis | Reading the related source, preparing the project | Öğretim Yöntemleri: Bireysel Çalışma, Örnek Olay |
| 14 | Cluster Analysis | Reading the related source, preparing the project | Öğretim Yöntemleri: Soru-Cevap, Alıştırma ve Uygulama |
| 15 | Examples 2 | Reading the related source, preparing the project | Öğretim Yöntemleri: Tartışma, Grup Çalışması |
| 16 | Term Exams | Ders notlarındaki ve kaynaktaki konuları gözden geçirme | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams II | Ders notlarındaki ve kaynaktaki konuları gözden geçirme | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||