1. Eğitim Bilgi Sistemi
  2. Jeofizik Mühendisliği Pr. (Yl)
  3. Informatıon Systems In Geophysıcs (2020 - 2021)
Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Informatıon Systems In Geophysıcs JFM 519 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi YUKSEK_LISANS
Dersin Türü Seçmeli
Dersin Koordinatörü Dr.Öğr.Üyesi GÜNAY BEYHAN
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı Our lesson provides information and skills accumulation about geophysics data systems to students who will do investigation in the geophysics area. Consequently students will use this aggregation in their thesis.
Dersin İçeriği Data define in geophysics. Space-time data concept and these kinds. System concepts to geophysics, Geophysics model approachs. Crossing simple to mixed model, Geographical information systems (GIS). Basis concepts for GIS. Data structures and software systems to GIS. Mapping methods to geology. Geophysics mapping systems and data analysis. Analog-numerical transform of geophysics datas. Numerical analysis methods to geology. Data systems deal with GIS.
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Students, defines aim and content of geophysical data Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
2 Students, knowledge system and modeling approaches in Geophysics recognizes and distinguishes Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
3 Students, Geophysical mapping systems and data analysis recognizes and distinguishes Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
4 Students, geographic information system and mapping methods in earth sciences recognizes and distinguishes Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
5 Students, analog and digital geophysical data conversion methods recognize and interprets Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
6 Students, recognizes the numerical solution methods in earth sciences Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Case Study, Problem Solving, Testing,
Hafta Ders Konuları Ön Hazırlık
1 Data define in geophysics.
2 Space-time data concept and these kinds.
3 System concepts to geophysics, Geophysics model approachs
4 Crossing simple to mixed model, Geographical information systems (GIS).
5 Basis concepts for GIS. Data structures and software systems to GIS.
6 Mapping methods to geology. Geophysics mapping systems and data analysis.
7 analog-numerical transform of geophysics data.
8 Numerical anaylsis methods to geology.
9 Data systems deal with GIS.
10 Reading current articles about geophysics and information systems
11 Reading current articles about geophysics and information systems
12 Reading current articles about geophysics and information systems
13 Reading current articles about geophysics and information systems
14 Reading current articles about geophysics and information systems
Kaynaklar
Ders Notu
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 100
Toplam 100
1. Yıl İçinin Başarıya 40
1. Final 60
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 3 48
Quiz 1 40 40
Assignment 1 14 14
Toplam İş Yükü 150
Toplam İş Yükü / 25 (Saat) 6
Dersin AKTS Kredisi 6