Comprehensive Course Structure
The Surveying program at Govt Polytechnic Khatima is structured over eight semesters, with each semester designed to build upon the previous one. The curriculum includes core subjects, departmental electives, science electives, and laboratory courses that provide students with a holistic understanding of the field.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
I | MATH101 | Applied Mathematics I | 3-1-0-4 | None |
I | PHY101 | Physics for Engineers | 3-1-0-4 | None |
I | CHM101 | Chemistry for Engineers | 3-1-0-4 | None |
I | CS101 | Computer Applications | 2-1-0-3 | None |
I | ENG101 | Engineering Graphics | 2-1-0-3 | None |
I | HUM101 | Communication Skills | 2-0-0-2 | None |
II | MATH102 | Applied Mathematics II | 3-1-0-4 | MATH101 |
II | PHY102 | Physics Laboratory | 0-0-2-2 | PHY101 |
II | CHM102 | Chemistry Laboratory | 0-0-2-2 | CHM101 |
II | CS102 | Programming in C | 2-1-0-3 | CS101 |
II | ENG102 | Surveying I | 2-1-0-3 | ENG101 |
III | MATH201 | Applied Mathematics III | 3-1-0-4 | MATH102 |
III | ENG201 | Surveying II | 2-1-0-3 | ENG102 |
III | CS201 | Data Structures and Algorithms | 2-1-0-3 | CS102 |
III | HUM201 | Environmental Studies | 2-0-0-2 | None |
IV | MATH202 | Applied Mathematics IV | 3-1-0-4 | MATH201 |
IV | ENG202 | Leveling and Traverse Surveying | 2-1-0-3 | ENG201 |
IV | CS202 | Database Management Systems | 2-1-0-3 | CS201 |
IV | EE201 | Electrical and Electronics Engineering | 3-1-0-4 | None |
V | ENG301 | Photogrammetry | 2-1-0-3 | ENG202 |
V | ENG302 | Remote Sensing | 2-1-0-3 | ENG301 |
V | CS301 | Computer Graphics and Visualization | 2-1-0-3 | CS202 |
V | EE301 | Instrumentation for Surveyors | 2-1-0-3 | EE201 |
VI | ENG303 | Geographic Information Systems | 2-1-0-3 | ENG302 |
VI | ENG304 | Hydrographic Surveying | 2-1-0-3 | ENG303 |
VI | CS302 | Artificial Intelligence and Machine Learning | 2-1-0-3 | CS301 |
VI | EE302 | Signal Processing for Surveying | 2-1-0-3 | EE301 |
VII | ENG401 | Final Year Project I | 0-0-4-6 | ENG304 |
VIII | ENG402 | Final Year Project II | 0-0-4-6 | ENG401 |
VIII | CS401 | Advanced Web Development | 2-1-0-3 | CS302 |
VIII | EE401 | Electronics for Surveyors | 2-1-0-3 | EE302 |
Advanced Departmental Electives
The department offers a range of advanced elective courses that allow students to specialize in areas of personal interest and industry demand:
- Geographic Information Systems (GIS): This course focuses on the principles and applications of GIS, including spatial data modeling, cartography, and database management. Students learn how to integrate diverse datasets for decision-making in urban planning, environmental management, and resource allocation.
- Remote Sensing and Image Processing: Designed for students interested in satellite imagery analysis, this course covers image enhancement techniques, classification algorithms, and thematic mapping using multispectral data. It also explores applications in agriculture, forestry, and disaster monitoring.
- Photogrammetry and Stereo Vision: This elective introduces students to the science of obtaining reliable measurements from photographs, particularly in three-dimensional space. Topics include camera calibration, stereo matching, and orthophoto generation using digital photogrammetric workstations.
- Hydrographic Surveying: Students learn about marine survey techniques, bathymetric mapping, and coastal engineering practices. The course emphasizes the use of sonar equipment and software for underwater terrain modeling.
- Geodetic Surveying: This course delves into precise measurement methods used in large-scale surveys and global positioning systems. It covers reference frames, coordinate transformations, and satellite navigation techniques.
- Urban Planning and Development: Combines surveying principles with urban design to support sustainable city growth. Students study land use planning, zoning regulations, and infrastructure development strategies.
- Environmental Monitoring and Assessment: Focuses on using geospatial technologies for environmental impact assessment, pollution monitoring, and climate change analysis. Students gain experience in field data collection and report writing.
- Precision Agriculture: Integrates surveying data with agricultural practices to optimize crop yields and resource utilization. Topics include soil mapping, irrigation planning, and yield prediction models.
- Construction Surveying: Prepares students for roles in construction site layout, building alignment, and quality control using modern surveying methods and tools.
- Drone-Based Mapping and Inspection: Covers the use of unmanned aerial vehicles (UAVs) for surveying tasks including inspection of infrastructure, monitoring construction progress, and generating detailed topographical maps.
Project-Based Learning Philosophy
Our department strongly believes in project-based learning as a cornerstone of effective education. The approach encourages students to engage with real-world problems through structured research initiatives that span multiple semesters. Mini-projects begin in the third year, where students select topics aligned with their interests and collaborate closely with faculty mentors. These projects are evaluated based on technical competence, innovation, documentation quality, and presentation skills.
The final-year thesis or capstone project represents the culmination of student learning experiences. Students work independently or in teams to address significant challenges within the field of surveying. They must demonstrate proficiency in research methodology, data analysis, problem-solving, and communication. The selection process involves a proposal submission followed by mentor assignment based on expertise alignment.
Throughout their academic journey, students are encouraged to participate in national and international competitions such as the National Surveying Competition, IEEE Student Competitions, and various hackathons organized by industry partners. These platforms enhance professional development and foster a culture of excellence among learners.