| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Applıed Data Analysıs In Earthscıences | JFM 427 | 7 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Dr.Öğr.Üyesi MEHMET DİNÇER KÖKSAL |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Data gathering, knowledge production and decision making ar emay be the most important elements among earthsciences and the related engineering disciplines. A wrong sample taken would lead to wrong conclusions. It is aimed to introduce all necessary processes througout the course with proper exercises. |
| Dersin İçeriği | Introduction, Data types, accuracy, precision, Populations, histograms, ststistical summary, Exercise - analysis of data, Regressions, Exercise on flood, Fractal geometry, Resolution in risk assesment and modelling, Surface analysis in geosciences, Surface analysis in geosciences, Mapping and cross sections, Mapping softwares, Database in earthsciences, principles, querry, web sites, Softwares, exercises |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Differentiates data types from each other | Lecture, Question-Answer, Discussion, Demonstration, Motivations to Show, Case Study, | Testing, Homework, Project / Design, Performance Task, |
| 2 | Displays fundamental data as graphic objects. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, | Testing, Homework, Project / Design, Performance Task, |
| 3 | Draws an excel data set in graphics | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, Project Based Learning, | Testing, Homework, Project / Design, Performance Task, |
| 4 | Arranges appropriate labeling,axis, title on graphics. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, Project Based Learning, | Testing, Homework, Project / Design, Performance Task, |
| 5 | Sees geo maps and cross sections at data sets. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, | Testing, Homework, Project / Design, Performance Task, |
| 6 | Grabs major properties and uses some mapping software at primary level. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, Project Based Learning, | Testing, Homework, Project / Design, Performance Task, |
| 7 | Determines where and why to use which data type. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Case Study, Self Study, Problem Solving, Project Based Learning, | Testing, Homework, Project / Design, Performance Task, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction | |
| 2 | Data types, accuracy, precision | |
| 3 | Populations, histograms, ststistical summary | |
| 4 | Exercise - analysis of data | |
| 5 | Regressions | |
| 6 | Exercise on flood | |
| 7 | Fractal geometry | |
| 8 | Resolution in risk assesment and modelling | |
| 9 | Surface analysis in geosciences | |
| 10 | Surface analysis in geosciences | |
| 11 | Mapping and cross sections | |
| 12 | Mapping softwares | |
| 13 | Database in earthsciences, principles, querry, web sites | |
| 14 | Softwares, exercises |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. | X | |||||
| 1 | -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. | X | |||||
| 2 | -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. | X | |||||
| 2 | -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. | X | |||||
| 3 | -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. | X | |||||
| 3 | -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. | X | |||||
| 4 | -Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. | X | |||||
| 5 | -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. | X | |||||
| 5 | -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. | X | |||||
| 6 | -Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually | X | |||||
| 7 | -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language | X | |||||
| 7 | -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language | X | |||||
| 8 | -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology | X | |||||
| 8 | -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology | ||||||
| 9 | -Engineering graduates with well-structured responsibilities in profession and ethics | X | |||||
| 9 | -Engineering graduates with well-structured responsibilities in profession and ethics | X | |||||
| 10 | -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. | X | |||||
| 10 | -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. | X | |||||
| 11 | -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. | X | |||||
| 11 | -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 50 |
| 1. Kısa Sınav | 15 |
| 1. Ödev | 20 |
| 2. Kısa Sınav | 15 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 20 | 20 |
| Assignment | 1 | 12 | 12 |
| Performance Task (Laboratory) | 1 | 16 | 16 |
| Toplam İş Yükü | 128 | ||
| Toplam İş Yükü / 25 (Saat) | 5,12 | ||
| Dersin AKTS Kredisi | 5 | ||