TÜRKÇE
ENGLISH
Information
| Code | CBS110 |
| Name | Basic Statistics for GIS |
| Term | 2023-2024 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 2-1 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2.5 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör.Dr. MUTLU KURBAN |
| Course Instructor |
Öğr. Gör.Dr. GAMZE GÜLŞEN BAKICI
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of the course is to provide students with the ability to analyze and interpret data by using statistical analysis method appropriate to the data
Course Content
It consists of basic statistical concepts, collecting and organizing data in series, presenting data, measures of central tendency and distribution, probability, hypothesis testing in statistical decision making, tests on population mean, regression and correlation analysis.
Course Precondition
none
Resources
İstatistik; Sema Ulutürk Akman
Notes
SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri; Şeref Kalaycı
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts in statistics |
| LO02 | Interprets tables and graphs |
| LO03 | Describes the shape of the distribution according to the values of the measures of central tendency |
| LO04 | Performs hypothesis tests of differences between population averages |
| LO05 | Performs simple linear regression analysis |
| LO06 | Performs correlation analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | In mathematics, science, and issues related to their areas to have adequate infrastructure. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Using the basic level knowledge and skills in the field, interpret and evaluate data, identify problems, develop solutions to have the ability. | 5 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Knows the concepts related to Geographic Information Systems, Knows the use of GIS software | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Awareness of the need for life-long learning, to follow developments in science and technology and continuous self-renewal with the skill. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | The ability to perform drawings of vocational plans and projects related to the field wins. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | To show what they have learned and can apply independently to learn in the field of GIS and have the ability to act independently to take risks. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Modern techniques that are necessary on the field, and specify the information technologies and effective tools to use. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | To have knowledge of GIS and produce project and apply knowledge. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Design using simulation programs related to computer-aided drawing and field and professional plan and gain the ability to perform the drawings of the project. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Innovations in the field of effective communication techniques and be able to follow the judge to have knowledge of a foreign language. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To produce a solution for problems related to GIS, to take responsibility for the team or individual it will be equipped with the ability to work. | 5 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Occupational safety, health and environmental protection, and to be conscious. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Required by the field to be able to use basic computer software and hardware. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Definition of statistics and basic concepts | Literature reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Data types and data collection techniques | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Organizing data, series and graphs | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Analytical means | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 5 | Non-analytical means | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 6 | Distribution measures | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 7 | Standard deviation and variance | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Probability | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 10 | Sample distributions | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 11 | Hypothesis test | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | Data entry to SPSS | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 13 | Chi-square test | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 14 | Analysis of variance | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 15 | Regression and correlation analysis | Literature reading and course review | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 16 | Final exams | Ölçme Yöntemleri: Ödev |
|
| 17 | Final exams | Ölçme Yöntemleri: Ödev |
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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 5 | 5 |
| Final Exam | 1 | 10 | 10 |
| Total Workload (Hour) | 87 | ||
| Total Workload / 25 (h) | 3,48 | ||
| ECTS | 3 ECTS | ||