TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB334 |
| Name | Statistical Package Programs |
| Term | 2017-2018 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 |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜZİN YÜKSEL |
| Course Instructor |
Prof. Dr. GÜZİN YÜKSEL
(Bahar)
(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
Yok
Resources
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 | Gains the ability to use SPSS. |
| LO04 | Gains 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 Statistics | |
| 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 | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 3 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 3 |
| PLO14 | 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 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to basic computer skills | Reading source books-Application | |
| 2 | Introduction to SPSS Program | Reading source books-Application | |
| 3 | Preparation of data | Reading source books-Application | |
| 4 | Data screening and transformation | Reading source books-Application | |
| 5 | Descriptive Statistics | Reading source books-Application | |
| 6 | Correlation | Reading source books-Application | |
| 7 | Tests for means | Reading source books-Application | |
| 8 | Mid-term exam | Review the topics discussed in the lecture notes | |
| 9 | Statistical Tests | Reading source books-Application | |
| 10 | ANOVA Analysis | Reading source books-Application | |
| 11 | ANOVA Analysis | Reading source books-Application | |
| 12 | Regression Analysis | Reading source books-Application | |
| 13 | Regression Analysis | Reading source books-Application | |
| 14 | Coding survey data | Reading source books-Application | |
| 15 | Reliability Analysis | Reading source books-Application | |
| 16 | Final exam | Review the topics discussed in the lecture notes | |
| 17 | Final exam | Review the topics discussed in the lecture notes |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||