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Copyright 2011-12 Dr. Awase Khirni Syed

Geographic Information Science, M.S.

Majors in Computational Geosciences.

2012-2013.

Awase Khirni Syed

1

*

, Bisheng Yang

2

, Eliseo Climentini

3

*1[email protected], Assitant Professor, Taif University, KSA

Reviewer : 2[email protected], Professor, Geoinformatics, Wuhan University, China

Reviewer : 3[email protected], Professor, Department of Electrical and Information Technology, University of Aquila, Italy

The Master of Science degree in Geographic Information Sciences (B.S. GIS) has been designed for those students who aspire to

be Geographic Information Science and Remote Sensing professionals. GIScience program is designed for students interested in

developing skills in the acquisition, processing, management and analysis of spatial data.

The program aims to impart skills and understanding in Digital Cartography, Geographic Information Science, Spatial Analysis

and Remote Sensing that can be applied to real world problems in areas such as urban planning, environmental analysis,

geospatial intelligence, health geographies, and human terrain analysis.

Program Objectives

The objectives of the M.S. (GIS) program are to provide students with the following:

1.

The necessary fundamental knowledge regarding theory, methods, application and in particular providing a

computational perspective to GIScience.

2.

Develop a broad understanding of geography

3.

Acquire Skills needed to carryout independent research and lifelong learning.

Program Learning Objectives

The integrated master’s program (5.5 years) aims to provide a sound theoretical and practical foundation in geospatial computation.

The programme aims to impart the following objectives

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Copyright 2011-12 Dr. Awase Khirni Syed

2.

Equip students with technical hands-on skills with Geographic Information System development, design and management.

3.

Expose students to the state-of-the-art hardware and software skills necessary for geocomputation.

4.

Express an understanding of the fundamental theory and concepts upon which the GIS technology is built.

5.

Develop student’s analytical and problem-solving skills through the integration of knowledge, insight and skills acquired in

this programme.

6.

Gain the ability to understand and perform spatial analysis and demonstrate high level skills in spatial analysis.

7.

Demonstrate high level skills in geospatial problem solving.

8.

Demonstrate the ability to design, implement, test and manage GIS projects.

9.

Effectively communicate and present project results in oral, written and graphic forms.

10.

Demonstrate a practical hands-on expertise on geospatial software and hardware.

11.

Understand recent and on-going advances in geographic information science.

No

Course

Code

First Semester

Credit

Course

Code

Second Semester

Credit

1. GIS-1-1001-3 Mathematics for GIS –I T 3 GIS-2-1002-3 Mathematics for GIS-II T 3

2. GIS-1-1002-3

Computer programming –I – C & Data Structures TP 3 GIS-2-1002-3 Computer Programming- II – Object

Oriented Programming - Java TP 3

3. GIS-1-1003-3 Software Engineering TP 3 GIS-2-1003-3 Systems Analysis and Design TP 3

4. GIS-1-1004-3 Introduction to Databases TP 3 GIS-2-1004-3 Design and Analysis of Algorithms TP 3 5. GIS-1-1005-3

Statistics for Geographers 3 GIS-2-1005-3 Introduction to Spatial Statistics/Spatial

Analysis TP

3 6. GIS-1-1006-3 Principles of Geographic Information Systems TP 3 GIS-2-1006-3 Geographic Information Science –II TP 3 7. GIS-1-1007-3 Introduction to Photogrammetry and Digital

Terrain modeling. TP

3 GIS-2-1007-3 Image Interpretation and Digital Image

processing techniques TP

3 8. GIS-1-1008-3 Surveying and Mapping -I TP 3 GIS-2-1008-3 Surveying and Mapping –II TP 3

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Copyright 2011-12 Dr. Awase Khirni Syed

Third Semester

Fourth Semester

1. GIS-3-100X-3 Discrete Mathematics T 3 GIS-4-100X-3 Orbital mechanics, GPS and GNSS TP 3 2. GIS-3-100X-3 Computer Programming –III .Net Programming. TP 3 GIS-4-100X-3 Hydrographic Surveying TP 3 3. GIS-3-100X-3

Cadastral Surveying TP 3 GIS-4-100X-3 Principles of Laser Scanning (Airborn,

Terristerial, Mobile) TP

3 4. GIS-3-100X-3 Advanced Photogrammetry and Remote Sensing

Techniques TP

3 GIS-4-100X-3

Spatial data adjustment. TP

3

5. GIS-3-100X-3 Advanced databases systems design and

development. TP

3 GIS-4-100X-3

Spatial database design and development TP 3 6. GIS-3-100X-3 Principles of land use planning TP 3 GIS-4-100X-3 Satellite Surveying techniques TP 3 7. GIS-3-100X-3

Introduction to Digital Cartography TP 3 GIS-4-100X-3 Cartographic Design : Electronic Atlas Design

and Production TP

4 8. GIS-3-100X-3

Advanced spatial analysis TP 3 GIS-4-100X-3 Algorithms in GIScience and Remote

Sensing. TP

3

9. GIS-3-100X-3 Open Web Mapping –I TP 4 GIS-4-100X-3 Open web mapping –II TP 4

Fifth Semester

Sixth Semester

1. GIS-5-100X-3 Geospatial data

TP 3 GIS-6-100X-3 3D GIS TP 4

2. GIS-5-100X-3 Advanced satellite surveying techniques TP 4 GIS-6-100X-3 Ontology Programming and Development. TP 4

3. GIS-5-100X-3 Model thinking TP 3 GIS-6-100X-3 Urban Remote Sensing TP 4

4. GIS-5-100X-3 Remote Sensing for Metrology TP 4 GIS-6-100X-3 Introduction to Multi-sensor data fusion TP 4 5. GIS-5-100X-3 Sensors and Satellite design TP 4 GIS-6-100X-3 Disaster Management Systems and GIS TP 4 6. GIS-5-100X-3 LIDAR Technology and Applications TP 4 GIS-6-100X-3 Microware Remote Sensing TP 4 7. GIS-5-100X-3 GIS & Remote Sensing Project Management TP 3 GIS-6-100X-3 Graph Theory and graph databases TP 4 8. GIS-5-100X-3 Remote Sensing for Terrestrial applications TP 4 GIS-6-100X-3 Urban planning and design using GIS TP 4 9. GIS-5-100X-3

Geovisualization TP 4 GIS-6-100X-3 Advanced topics in GIS &T TP 4

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Copyright 2011-12 Dr. Awase Khirni Syed

1. GIS-7-100X-3 Elective -1 Multi Dimensional Geographic

Information Science TP 4

INTERNSHIP/THESIS

2. GIS-7-100X-3 Elective -2 Augmented Reality TP 4 3. GIS-7-100X-3 Elective -3 Volunteered Geographic Information TP 4 4. GIS-7-100X-3 Elective -4 Moving object databases TP 4 5. GIS-7-100X-3 Elective -5 Geographic visualization techniques. TP 4 6. GIS-7-100X-3 Elective -6 Regional Energy Modeling TP 4 7. GIS-7-100X-3 Elective -7 Human Terrain Analysis TP 4 8. GIS-7-100X-3 Professional Practice & Research Methodology TP 4

Ninth Semester

Tenth Semester

1. GIS-9-100X-3

Advanced Physical Geodesy TP 4

GIS-10-100X-3 GIS Programming for Advanced Spatial Analysis and Modeling TP 4 2. GIS-9-100X-3

Map communication and design TP 4

GIS-10-100X-3 Design and implementation of GIS TP 4

3. GIS-9-100X-3 Inertial Surveying and INS/GPS Integration,

GLONASS, GALILEO TP 4

GIS-10-100X-3 Advanced methods in geocomputation TP 4 4. GIS-9-100X-3

Advanced Estimation Methods and Analysis TP 4

GIS-10-100X-3 Elective 1: TP 4

5. GIS-9-100X-3

Spatial Knowledge discovery & Mining TP 4 GIS-10-100X-3

Elective 2:

TP 4 6. GIS-9-100X-3

Spatio-temporal databases TP 4

GIS-10-100X-3

Elective 3:

TP 4 7. GIS-9-100X-3

Advanced Remote Sensing TP 4

GIS-10-100X-3

Elective 4:

TP 4 8. GIS-9-100X-3

Advanced Survey laws TP 4

GIS-10-100X-3 Elective 5: TP 4

Eleven Semester

List of Electives

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Copyright 2011-12 Dr. Awase Khirni Syed

Environmental Modeling TP 4

Optical imaging metrology TP 4

Advanced global geophysics and

geodynamics TP 4

Environmental exposure estimations TP 4 Spatial Decision Support Systems TP 4

Geospatial data Management TP 4

3D geomodeling TP 4

Map generalization TP 4

Spatial and Environmental Influences in

Social Systems TP 4

Geospatial semantic information retrieval,

analysis, reasoning and modeling TP 4 Development, implementation and use of

geospatial ontologies and semantics TP 4 Spatial information infrastructures TP 4 Atmospheric effects on satellite Navigation

Systems TP 4

Spatial and temporal reasoning TP 4

Special Topics in GIS TP 4

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Copyright 2011-12 Dr. Awase Khirni Syed

Pre-requisite flow chart

Mapping Program Learning Objectives with Course Learning Objectives

Mapping Program Learning Objectives with Knowledge Areas (UCGIS KA’s)

GIS Competence Mapping with Course Learning Objectives

I

cr

=Introduce

credit

R

cr

=Reinforce

credit

E

cr

=Emphasize

credit

P

cr

=Practical

credit

GIS Competences

G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3 G e o g -1 0 0 1 2 3 -3

Technical Competences

I

3

P

2

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Copyright 2011-12 Dr. Awase Khirni Syed

among geospatial technologies

ii.

Cartography

iii.

Computer programming skills

iv.

Environmental applications

v.

GIS theory and applications

vi.

Geological applications

vii.

Geospatial data processing tools

viii.

Photogrammetry

ix.

Remote sensing theory and

applications

x.

Spatial information processing

xi.

Technical writing

xii.

Technological literacy

xiii.

Topology

Business competences

xiv.

Ability to see the “big picture”

xv.

Business understanding

xvi.

Buy-in/advocacy

xvii.

Change management

xviii.

Cost-benefit analysis and ROI

xix.

Ethics modeling

xx.

Industry understanding

xxi.

Legal understanding

xxii.

Organizational understanding

xxiii.

Performance analysis and

evaluation

xxiv.

Visioning

Analytical competences

xxv.

Creative thinking

xxvi.

Knowledge management

xxvii.

Model-building skills

xxviii.

Problem-solving skills

xxix.

Research skill

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Copyright 2011-12 Dr. Awase Khirni Syed

Interpersonal competences

i.

Coaching

ii.

Communications

iii.

Conflict management

iv.

Feedback skills

v.

Group process understanding

vi.

Leadership skills

vii.

Questioning

viii.

Relationship building skills

ix.

Self-knowledge

/self-management

Beyond Mapping: Meeting National needs through enhanced geographic information science.

http://www.nap.edu/catalog/11687.html page33

,

Table 2.2.

Acknowledgements

First and foremost, I offer my sincerest gratitude to Prof. Bisheng Yang, Geoinformatics, Wuhan University, China and Prof.

Eliseo Clementine, University of Aquila, Italy for providing their valuable feedback to refine and improve the program. I am

thankful to them as always for their constructive inputs to improvise the work above.

References

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