TÜRKÇE
ENGLISH
Information
| Unit | TECHNICAL SCIENCES VOCATIONAL SCHOOL |
| GEOGRAPHICAL INFORMATION SYSTEMS PR. | |
| Code | CBS110 |
| Name | Basic Statistics for GIS |
| Term | 2020-2021 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 |
| Label | C Compulsory |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Dr. MUTLU KURBAN |
| Course Instructor |
Öğr. Gör. Dr. MUTLU KURBAN
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Introduction and presentation of the statistical concepts and approaches that are need and being using for GIS
Course Content
Basic Statistics concept, sampling concepts, data collection and editing, presenting the data, central trend and distribution scales, probability distribution models, statistical estimation hypothesis, population mean tests, variation tests, regression, correlation, jeostatistics, interpolation and kriging, distance based estimation methods, clasic spatial estimation methods.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Perception of basic statistical concepts |
| LO02 | Understanding central tendency and dispersion measures |
| LO03 | Learning of probability distribution models |
| LO04 | Understanding of continuous dispersion models |
| LO05 | Understanding the confidence interval for the mean mass average and the ratio |
| LO06 | To be able to make a difference test between two population mean and ratio |
| LO07 | Perform statistical hypothesis tests |
| LO08 | Midterm Exam |
| LO09 | To be able to test the hypothesis of differences between the mean masses |
| LO10 | comprehension of simple linear regression and correlation |
| LO11 | Acquiring the ability to create curvilinear (exponential) regression |
| LO12 | Getting the ability to apply geostatistical techniques |
| LO13 | Learning the theoretical semi-variogram models |
| LO14 | Comprehension of spatial estimation (interpolation) |
| LO15 | Getting the ability to apply the Kriging estimation method |
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 | Concepts of Basic Statistics | Literature reading | |
| 2 | Central trend and distribution scales | Literature reading and course review | |
| 3 | Probability distribution models | Literature reading and course review | |
| 4 | Continious distribution models | Literature reading and course review | |
| 5 | Confidence bounds of population mean and percentage | Literature reading and course review | |
| 6 | Confidence bounds of two population mean and percentage difference | Literature reading and course review | |
| 7 | Statistical Hypothesis Tests | Literature reading and course review | |
| 8 | Mid-Term Exam | Literature reading and course review | |
| 9 | Hypothesis of difference of population means | Literature reading and course review | |
| 10 | Basic linear regression and correlation | Literature reading and course review | |
| 11 | Exponential regression and certainty coefficient | Literature reading and course review | |
| 12 | Concepts of Geostatistics, variogram, semi-variogram | Literature reading and course review | |
| 13 | Theoretical semi-variogram models | Literature reading and course review | |
| 14 | Spatial estimation (interpolation) | Literature reading and course review | |
| 15 | Kriging estimation method | Literature reading and course review | |
| 16 | Term Exams | ||
| 17 | Term Exams |
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 | 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 | ||