ECTS - Principles of Geographic Information Systems
Principles of Geographic Information Systems (CE512) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Principles of Geographic Information Systems | CE512 | Area Elective | 2 | 2 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | To give students an understanding of principles of the Geographic Information Systems. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Geographic information systems (GIS) technologies as a variety of geospatial data including remotely sensed imagery from the satellites, the basic concepts, software used and available data types used by GIS, exploration of geospatial data and the construction of cartographic products. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Basics of GIS | |
| 2 | Geographic information system packages | |
| 3 | Comparison of geographic information system packages | |
| 4 | Satellite data | |
| 5 | Evaluation of satellite data | |
| 6 | Geospatial data and the construction of cartographic products | |
| 7 | Geospatial data and the construction of cartographic products | |
| 8 | Applications of GIS to underground constructions | |
| 9 | Practical applications of GIS | |
| 10 | Gain practical experience using basic GIS tools | |
| 11 | 3-D Modeling and Visualization using ArcGIS 3D Analyst | |
| 12 | Surface and Grid Analysis using ArcGIS Spatial Analyst | |
| 13 | Surface and Grid Analysis using ArcGIS Spatial Analyst | |
| 14 | Case study | |
| 15 | Final Exam Period | |
| 16 | Final Exam Period |
Sources
| Course Book | 1. Lecture Notes given in class. |
|---|---|
| Other Sources | 2. Geographic Information Systems and Science (2nd ed.), 2005, Paul A. Longley, Michael F. Goodchild, David J. Maguire, and David W. Rhind, John Wiley & Sons, Ltd., ISBN 0-470-87001-X; textbook web page: http://www.wiley.com/go/longley. |
| 3. GIS Modeling in Raster, 2001, Michael N. DeMers, John Wiley & Sons, Inc., ISBN 0-471-31965-1 | |
| 4. ArcGIS 9.3 Desktop Help |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | 5 | 15 |
| Homework Assignments | 3 | 15 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 25 |
| Final Exam/Final Jury | 1 | 45 |
| Toplam | 10 | 100 |
| Percentage of Semester Work | 55 |
|---|---|
| Percentage of Final Work | 45 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to solve mathematically defined advanced engineering problems analytically. | X | ||||
| 2 | An ability to solve mathematically defined advanced engineering problems numerically. | X | ||||
| 3 | An ability to use the technology and the literature effectively in the civil engineering research domain. | X | ||||
| 4 | An ability to conduct qualitative research in civil engineering and publish articles in conferences and journals in the area. | X | ||||
| 5 | Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. | X | ||||
| 6 | To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 3 | 5 | 15 |
| Quizzes/Studio Critics | 5 | 2 | 10 |
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 14 | 14 |
| Total Workload | 125 | ||