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LM41228 – Spatial Data Infrastructure

Course Outline

Course

:  LM 41228 – Spatial Data Infrastructure

Core/Specialization

:  Land Management

Programme

:  Bachelor of Science Honours in Surveying Sciences

Department

:  Surveying & Geodesy

Faculty

:  Faculty of Geomatics

Contact Hours

:  100

Year

:  IV

Semester

:  I

Lecturer

:  Dr Homindra Divithure

Room No.

:  SF-08

Telephone No.

:  045-3453071

E-mail

:  divithura@geo.sab.ac.lk

 

Synopsis

This course provides the students with the basic knowledge of Spatial Data Infrastructure (SDI), with specific emphasize on policy, financial, stakeholders and standards related issues. The course is guiding students through various topics related SDI. Specially, Sri Lankan situation of National Spatial Data Infrastructure (NSDI) will be discussed and analysed in detail.

 

Contents

Introduction to Spatial Data Infrastructure (SDI), Stakeholders of SDI, Financing NSDI, Policy and legal issues of NSDI, Standards in support of SDI, SDI architectures

 

Learning Outcomes

By the end of the course, students should be able to:

No.

Course Learning Outcome

Programme Outcome

Assessment Methods

1.

Critically review the concepts of Information Infrastructure, Spatial Data Infrastructure (GDI) and National Spatial Data Infrastructure (NSDI)

P01, P03, P05

Final Examination/ Assignment

2.

Identify potential stakeholders and their respective roles when designing, functioning and sustaining a NSDI

P03, P05

Final Examination/ Assignment

3.

Evaluate associated cost factors and financial opportunities of NSDI

P02, P03, P05, P08

Final Examination/ Assignment

4.

Identify important policy directions and legal factors associated with NSDI

P03, P05

Final Examination/ Assignment

5.

Identify and evaluate the role of standards when designing a NSDI

P03, P05

Final Examination/ Assignment

6.

Identify and assess the NSDI initiatives in Sri Lanka

P03, P05

Final Examination/ Assignment

 

Student Learning Time (SLT)

Teaching and Learning Activities

Student Learning Time (hours)

Directed Learning

Lectures and Student Centered Learning (SCL)

24

Independent Learning

  1. Preparation - Student centred learning activities

20

  1. Self-Learning (Library & Internet)

30

  1. Revision

18

Assessment

  1. Assignments

6

  1. Final Examination

2

TOTAL (SLT)

100

 

Teaching Methodology

Lecture/presentations and class-room discussions. 

 

References

  • Groot, R. and McLaughlin, J. (2003) Geospatial Data Infrastructure, Concepts, cases and good practices. Oxford University Press, ISBN: 0198233817
  • Williamson, I.P. ; Rajabifard, A. and Feeney, M.E.F. (2004) Developing Spatial Data Infrastructures: From Concept to Reality. Taylor & Francis, ISBN: 9780203485774
  • Various materials and web-links are provided during the course

 

Grading

Assignments (five out of six)

50%

Final Examination

50%

Total

100%