TÜRKÇE
ENGLISH
Information
| Code | ISB334 |
| Name | Statistical Package Programs |
| Term | 2023-2024 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜZİN YÜKSEL |
| Course Instructor |
Prof. Dr. GÜZİN YÜKSEL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The purpose of this course, in different fields, basic statistical methods used in the SPSS data analysis program are processed on the theoretical and practical manner, the student be able to comment, analysis on issues like the ability to gain skills.
Course Content
Introduction to basic computer skills, Preparation of data, Descriptive Statistics, Correlation, Statistical Tests, ANOVA Analysis, Regression Analysis, Coding survey data, Reliability Analysis
Course Precondition
None
Resources
SPSS paket Programı ile İstatistiksel Veri Analizi Prof. Dr. Hamza Erol, Akademisyen Kitabevi
Notes
Course Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Gains the ability of data analysis knowledge and skills. |
| LO02 | Gains the ability to find solutions to operational working problems. |
| LO03 | Students gain the ability to use SPSS. |
| LO04 | Students use the ability to analyze data with SPSS. |
| LO05 | Apply statistics structures using SPSS in a business environment. |
| LO06 | Uses the skills in problem analysis and problem solving. |
| LO07 | Uses the skills in data handling and manipulation. |
| LO08 | Uses the knowledge by using Mathematica documentation and other sources in the internet. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 5 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | 4 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | 5 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | 3 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 3 |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | 2 |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to basic computer skills | Reading source books-Application | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 2 | Introduction to SPSS Program | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 3 | Preparation of data | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap |
| 4 | Data screening and transformation | Reading source books-Application | Öğretim Yöntemleri: Tartışma, Beyin Fırtınası |
| 5 | Descriptive Statistics | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Correlation | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Örnek Olay |
| 7 | Tests for means | Reading source books-Application | Öğretim Yöntemleri: Soru-Cevap, Örnek Olay |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Statistical Tests | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Örnek Olay |
| 10 | ANOVA Analysis | Reading source books-Application | Öğretim Yöntemleri: Soru-Cevap, Benzetim |
| 11 | ANOVA Analysis II | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Proje Temelli Öğrenme |
| 12 | Regression Analysis | Reading source books-Application | Öğretim Yöntemleri: Beyin Fırtınası, Örnek Olay |
| 13 | Regression Analysis II | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Benzetim |
| 14 | Coding survey data | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Deney / Laboratuvar |
| 15 | Reliability Analysis | Reading source books-Application | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap, Proje Temelli Öğrenme |
| 16 | Term Exams | Review the topics discussed in the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review the topics discussed in the lecture notes | Ölçme Yöntemleri: Yazılı Sınav |
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 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 154 | ||
| Total Workload / 25 (h) | 6,16 | ||
| ECTS | 6 ECTS | ||