Course Name Code Semester T+U Hours Credit ECTS
Applied Data Analysis In Earthsciences JFM 427 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi MEHMET DİNÇER KÖKSAL
Course Lecturers
Course Assistants
Course Category
Course Objective 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.
Course Content 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
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Differentiates data types from each other , , , , , , , , , ,
2 Displays fundamental data as graphic objects. , , , , , , , , , , , , ,
3 Draws an excel data set in graphics , , , , , , , , , , , , , ,
4 Arranges appropriate labeling,axis, title on graphics. , , , , , , , , , , , , , ,
5 Sees geo maps and cross sections at data sets. , , , , , , , , , , , , ,
6 Grabs major properties and uses some mapping software at primary level. , , , , , , , , , , , , , ,
7 Determines where and why to use which data type. , , , , , , , , , , , , , ,
Week Course Topics Preliminary Preparation
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
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
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.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 15
1. Ödev 20
2. Kısa Sınav 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 128
Total Workload / 25 (Hours) 5.12
dersAKTSKredisi 5