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Course Description Course Name : Land Information Systems Course Code : UA-513 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. AKIN OĞUZ DİNÇ Learning Outcomes of the Course : At the end of the course, the students gain an understanding of the mangement and planing of soil, water and vegetation resources Establish relationships between social structures and natural resources. Perform projection and coordinate system processes. Analyse and interpret topographic data and produce basic maps. Identify relationships between different data sources and analyze them. Produce final maps for different purposes and various diciplines. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Elements of the land information systems, soil, water, vegetation as well as social structures along with topographic information with cadastral data are evalated, digitized and entered into the database. This wil help to the activities of planning, decision making and creating new policies with easily accessible information as well as evaluating potential land available for alternative use. Course Contents : The necessary data from the basic elements of land information systems such as soils, vegetation, water, social structures, topograhy, geology are collected digitized and entities beloging to these data are entered into the database. Other data sources are also determined. Soil maps, land use maps and water resource maps are acquired and evaluated. Using topograhic maps slope maps and gullies are determined. Air phototos and satellite data will be used to investigate existing structures (roads, settlements, other infrastuctures and industrial cites). All the data will be transformed into GIS environment and a database will be created. Coordinate systems and projections will be discussed. Different layers of data wll be merged and analysis will be performed. Final maps will be prepared and discussed. Language of Instruction : Turkish Work Place : Department of Soil Science and Plant Nutritoin Remote Sensing and GIS Lab   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Definition of land and its components Preliminary reading Lecture and discussions 2 Coordinate systems Preliminary reading Lecture and discussions 3 Data availability and interpretation Preliminary reading Lecture and discussions 4 Interpretation of air photos and satellite data Preliminary reading Lecture and discussions 5 Land use mapping Preliminary reading Lecture and discussions 6 Soil and topographic data Preliminary reading Lecture and discussions 7 Cadastral data and other relvant data sources Preliminary reading Lecture and discussions 8 Transfering data into GIS and digitation Preliminary reading Lecture and discussions 9 Database structures Preliminary reading Lecture and discussions 10 Data entry into Land Information systems Preliminary reading Lecture and discussions 11 Data analysis methods Preliminary reading Lecture and discussions 12 Creating slope and risk maps Preliminary reading Lecture and discussions 13 Analysis and interpretation of land use, soil and water resources Preliminary reading Lecture and discussions 14 Preparation of final maps for different data layers and relationship between social structures and natural resources Preliminary reading Lecture and discussions 15 Interpretataion of final results Preliminary reading Lecture and discussions 16/17 Final exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  HAINING, R.,1993. Spatial data Analysis in the Social and Environmental Sciences.Cambridge University Press.  OLLE, W.,T, et. al., 1991. Information Systems Methodollogies.Addison-Wesley Printing Company.  Fundementals of Spatial Information Systems1992. Robert Laurini and Derek Thompson. Academic Press  Coğrafi Bilgi Sistemleri (CBS) Teknolojisi ve Veri Analiz Yöntemleri. 2000. A.O. Dinç, Ç.Ü. Fen Bilimleri Enstitüsü Yayın No:FBE-2000-1.Adana  Geographic Information. 1994. Edited by D.R Green, D. Rix and J. Cadoux-Hudson. Taylor and Francis.  - Coğrafi Bilgi Sistemleri (CBS) ve Bazı Uygulamaları. Yaz Okulu Ders Notları. 2002. V.Peştemalcı. P. Tekinsoy, M. A. Çullu, M. Kandırmaz, O. Dinç, İ. Yeğengil, S. Şenol, 2002. 16-21 Eylül 2002, Şanlıurfa Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 50     Homeworks/Projects/Others 2 50 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. 2 2 The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. 4 3 The students generate information using remotely sensed data and GIS together with database management skills. 4 4 The students gain knowledge to use current data and methods for multi-disciplinary research. 5 5 The students gain technical competence and skills in using recent GIS and remote sensing software. 5 6 The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. 4 7 The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. 5 8 The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. 5 9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 5 10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 2 11 The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. 1 12 The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. 4 13 The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. 4 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 10 3 30 Assesment Related Works     Homeworks, Projects, Others 2 40 80     Mid-term Exams (Written, Oral, etc.) 1 1 1     Final Exam 1 1 1 Total Workload: 154 Total Workload / 25 (h): 6.16 ECTS Credit: 6