Geographical Information System - Syllabus

Embark on a profound academic exploration as you delve into the Geographical Information System course (GIS) within the distinguished Tribhuvan university's CSIT department. Aligned with the 2074 Syllabus, this course (CSC468) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60 + 20 + 20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.

This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.

Course Description: The course covers about spatial data structure, modeling and database design, different techniques for capturing the real world, spatial data manipulation, analysis and visualization, spatial data infrastructure and data standardization, overview of open GIS and open source GIS data.

Course Objectives: The main objective of this course is to provide both theoretical and practical knowledge of Geographical Information System.

Introduction

1.1 Overview, History and concepts of GIS 

1.2 Scope and application areas of GIS 

1.3 Purpose and benefits of GIS 

1.4 Functional components of GIS 

1.5 Importance of GPS and remote sensing data in GIS 

Digital mapping concept

2.1 Map concept: map elements, map layers, map scales and representation

2.2 Map projection: coordinate system and projection system

spatial data modeling and database design

3.1 introduction to geographic phenomena and data modeling

3.2 spatial relationships and topology

3.3 scale and resolution

3.4 vector, raster and digital terrain model

3.5 Spatial database design with the concepts of geodatabase.

capturing the real world

4.1 different methods of data capture

4.2 map projection and spatial reference

4.3 data preparation, conversion and integration

4.4 quality aspects of spatial data

4.5 GPS

4.6 Remote Sensing

spatial analysis and visualization

5.1 spatial analysis

i. overlay

ii. buffering

introduction to spatial data infrastructure

6.1 SDI concepts and its current trend

6.2 The concept of metadata and clearing house

6.3 Critical factors around SDIs

Open GIS

7.1 Introduction of open concept in GIS

7.2 Open source software for spatial data analysis

7.3 Web Based GIS system

7.4 System Analysis and Design with GIS

The lab should cover at least the concepts given in each chapter.