Course Structure Overview
The Surveying program at Roorkee Institute Of Technology is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and hands-on laboratory sessions. The curriculum is designed to provide students with both foundational knowledge and specialized skills required for modern surveying practices.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | English for Engineering Communication | 3-0-0-3 | - |
| 1 | MAT101 | Calculus and Differential Equations | 4-0-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | ENG102 | Introduction to Engineering & Design | 2-0-0-2 | - |
| 1 | MAT102 | Linear Algebra and Vector Calculus | 3-0-0-3 | MAT101 |
| 1 | PHY102 | Electromagnetism & Optics | 3-0-0-3 | PHY101 |
| 1 | CS101 | Introduction to Programming | 2-0-2-4 | - |
| 1 | LAB101 | Physics Lab I | 0-0-3-1 | PHY101 |
| 1 | LAB102 | Chemistry Lab I | 0-0-3-1 | CHE101 |
| 2 | MAT201 | Differential Equations and Transform Methods | 4-0-0-4 | MAT102 |
| 2 | ENG201 | Engineering Mechanics | 3-0-0-3 | - |
| 2 | CIV201 | Surveying I – Basic Concepts | 3-0-0-3 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | MAT202 | Probability and Statistics | 3-0-0-3 | MAT102 |
| 2 | PHY201 | Modern Physics | 3-0-0-3 | PHY102 |
| 2 | LAB201 | Engineering Mechanics Lab | 0-0-3-1 | ENG201 |
| 2 | LAB202 | Computer Programming Lab | 0-0-3-1 | CS101 |
| 3 | MAT301 | Numerical Methods | 3-0-0-3 | MAT201 |
| 3 | CIV301 | Surveying II – Field Work Techniques | 3-0-0-3 | CIV201 |
| 3 | CS301 | Database Systems | 3-0-0-3 | CS201 |
| 3 | ENG301 | Strength of Materials | 3-0-0-3 | ENG201 |
| 3 | CIV302 | Geodesy and Remote Sensing | 3-0-0-3 | - |
| 3 | LAB301 | Surveying Lab I | 0-0-3-1 | CIV201 |
| 4 | MAT401 | Complex Analysis and Partial Differential Equations | 3-0-0-3 | MAT301 |
| 4 | CIV401 | Advanced Surveying Techniques | 3-0-0-3 | CIV301 |
| 4 | CS401 | Software Engineering | 3-0-0-3 | CS301 |
| 4 | ENG401 | Fluid Mechanics | 3-0-0-3 | ENG201 |
| 4 | CIV402 | GIS and Spatial Data Analysis | 3-0-0-3 | CIV302 |
| 4 | LAB401 | Surveying Lab II | 0-0-3-1 | CIV301 |
| 5 | CIV501 | Drone-based Surveying and UAV Applications | 3-0-0-3 | - |
| 5 | CIV502 | Marine and Hydrographic Surveying | 3-0-0-3 | - |
| 5 | CIV503 | Construction Surveying and Layout | 3-0-0-3 | CIV401 |
| 5 | CS501 | Machine Learning in Geospatial Applications | 3-0-0-3 | CS401 |
| 5 | LAB501 | Advanced Surveying Lab | 0-0-3-1 | CIV401 |
| 6 | CIV601 | Environmental Monitoring and GIS | 3-0-0-3 | CIV502 |
| 6 | CIV602 | Sustainable Development Mapping | 3-0-0-3 | - |
| 6 | CIV603 | Disaster Risk Management and GIS | 3-0-0-3 | - |
| 6 | CS601 | Big Data Analytics in Surveying | 3-0-0-3 | CS501 |
| 6 | LAB601 | Capstone Project Lab | 0-0-3-1 | - |
| 7 | CIV701 | Final Year Project / Thesis | 4-0-0-4 | - |
| 7 | CIV702 | Internship Program | 0-0-0-3 | - |
| 8 | CIV801 | Special Topics in Surveying | 3-0-0-3 | - |
| 8 | CIV802 | Research Methodology | 2-0-0-2 | - |
Detailed Course Descriptions
The department offers a range of advanced departmental electives that allow students to specialize in niche areas of surveying and geospatial technologies. Here are some of the key courses:
1. Machine Learning in Geospatial Applications
This course explores how machine learning algorithms can be applied to process large volumes of geospatial data for tasks such as land cover classification, object detection, and anomaly detection. Students learn to use Python-based libraries like scikit-learn, TensorFlow, and Keras to build predictive models for surveying applications.
2. Big Data Analytics in Surveying
This elective introduces students to the challenges of handling massive datasets generated by modern surveying instruments. Topics include data ingestion, storage optimization, visualization techniques, and scalable analytics using Hadoop and Spark frameworks.
3. Urban Planning and GIS
Students learn how to integrate surveying data with urban planning processes using GIS software. The course covers zoning regulations, transportation network analysis, and population modeling for sustainable city development.
4. Marine and Hydrographic Surveying
This course provides an overview of hydrographic surveying techniques used in coastal and offshore environments. Students study depth sounding methods, bathymetric charting, and navigation safety protocols in marine contexts.
5. Drone-based Surveying and UAV Applications
Students are introduced to unmanned aerial vehicle (UAV) technology for surveying purposes. The course covers flight planning, sensor integration, data processing pipelines, and regulatory frameworks governing UAV operations.
6. Construction Surveying and Layout
This elective focuses on practical applications of surveying in construction projects. Students learn layout techniques for buildings, roads, and bridges using traditional and modern tools.
7. Environmental Monitoring and GIS
The course explores how GIS and remote sensing can be used to monitor environmental changes over time. Topics include deforestation tracking, water quality assessment, and climate impact modeling.
8. Disaster Risk Management and GIS
This course teaches students how to use geospatial data for hazard identification, risk assessment, and emergency response planning. It covers case studies from recent disasters around the world.
9. Sustainable Development Mapping
Students explore how mapping technologies can support sustainable development goals (SDGs). This includes land-use planning, renewable energy site selection, and biodiversity conservation efforts.
10. Digital Terrain Modeling
This course delves into advanced techniques for generating and analyzing digital terrain models using LiDAR, photogrammetry, and satellite imagery. Students gain hands-on experience with industry-standard software tools like ArcGIS and QGIS.
Project-Based Learning Philosophy
The department strongly believes in the value of project-based learning as a means to bridge theory and practice. From the first year, students are encouraged to work on small-scale projects that reinforce classroom learning. These mini-projects are typically completed within a semester and focus on applying newly acquired knowledge to real-world scenarios.
For instance, in the second year, students might be tasked with designing a topographic survey plan for a local park or college campus. In the third year, they could develop a GIS-based solution for urban planning or environmental monitoring. These projects are supervised by faculty mentors who guide students through the process of problem identification, data collection, analysis, and presentation.
The final-year capstone project is a significant undertaking that spans several months. Students select a topic relevant to current industry trends or emerging technologies in surveying. They work closely with a faculty advisor and often collaborate with external partners such as government agencies or private firms. The project culminates in a detailed report, presentation, and demonstration of the developed solution.
Evaluation criteria for these projects are designed to assess both technical proficiency and communication skills. Peer reviews, oral presentations, and written documentation are all part of the assessment process. This approach ensures that students not only acquire deep knowledge but also develop the ability to convey complex ideas clearly and effectively.