Curriculum
The curriculum at LAXMIPATI INSTITUTE OE SCIENCE AND TECHNOLOGY BHOPAL is meticulously designed to provide a comprehensive understanding of robotics through a structured progression of core courses, departmental electives, and hands-on laboratory experiences.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | MA101 | Mathematics I | 3-1-0-4 | - |
| I | PH101 | Physics for Engineers | 3-1-0-4 | - |
| I | CS101 | Introduction to Programming | 2-0-2-4 | - |
| I | EE101 | Basic Electrical Engineering | 3-1-0-4 | - |
| I | ME101 | Engineering Mechanics | 3-1-0-4 | - |
| I | CE101 | Introduction to Civil Engineering | 3-1-0-4 | - |
| I | CH101 | Chemistry for Engineers | 3-1-0-4 | - |
| I | HS101 | Communication Skills | 2-0-0-2 | - |
| I | GE101 | General Engineering | 2-0-0-2 | - |
| II | MA201 | Mathematics II | 3-1-0-4 | MA101 |
| II | PH201 | Modern Physics | 3-1-0-4 | PH101 |
| II | CS201 | Data Structures and Algorithms | 3-1-0-4 | CS101 |
| II | EE201 | Circuit Analysis | 3-1-0-4 | EE101 |
| II | ME201 | Mechanics of Materials | 3-1-0-4 | ME101 |
| II | CE201 | Structural Analysis | 3-1-0-4 | CE101 |
| II | CH201 | Organic Chemistry | 3-1-0-4 | CH101 |
| II | HS201 | English for Technical Communication | 2-0-0-2 | HS101 |
| II | GE201 | Engineering Ethics | 2-0-0-2 | - |
| III | MA301 | Mathematics III | 3-1-0-4 | MA201 |
| III | PH301 | Electromagnetic Fields | 3-1-0-4 | PH201 |
| III | CS301 | Object-Oriented Programming | 3-1-0-4 | CS201 |
| III | EE301 | Electronics Devices and Circuits | 3-1-0-4 | EE201 |
| III | ME301 | Thermodynamics | 3-1-0-4 | ME201 |
| III | CE301 | Soil Mechanics | 3-1-0-4 | CE201 |
| III | CH301 | Inorganic Chemistry | 3-1-0-4 | CH201 |
| III | HS301 | Technical Writing | 2-0-0-2 | HS201 |
| III | GE301 | Project Management | 2-0-0-2 | - |
| IV | MA401 | Mathematics IV | 3-1-0-4 | MA301 |
| IV | PH401 | Quantum Mechanics | 3-1-0-4 | PH301 |
| IV | CS401 | Database Systems | 3-1-0-4 | CS301 |
| IV | EE401 | Control Systems | 3-1-0-4 | EE301 |
| IV | ME401 | Mechanics of Machines | 3-1-0-4 | ME301 |
| IV | CE401 | Hydraulics and Pneumatics | 3-1-0-4 | CE301 |
| IV | CH401 | Physical Chemistry | 3-1-0-4 | CH301 |
| IV | HS401 | Presentation Skills | 2-0-0-2 | HS301 |
| IV | GE401 | Entrepreneurship | 2-0-0-2 | - |
| V | MA501 | Mathematics V | 3-1-0-4 | MA401 |
| V | PH501 | Optics and Laser Physics | 3-1-0-4 | PH401 |
| V | CS501 | Operating Systems | 3-1-0-4 | CS401 |
| V | EE501 | Signal and Systems | 3-1-0-4 | EE401 |
| V | ME501 | Robotics Fundamentals | 3-1-0-4 | ME401 |
| V | CE501 | Geotechnical Engineering | 3-1-0-4 | CE401 |
| V | CH501 | Chemical Kinetics | 3-1-0-4 | CH401 |
| V | HS501 | Leadership and Teamwork | 2-0-0-2 | HS401 |
| V | GE501 | Sustainable Engineering | 2-0-0-2 | - |
| VI | MA601 | Mathematics VI | 3-1-0-4 | MA501 |
| VI | PH601 | Atomic and Nuclear Physics | 3-1-0-4 | PH501 |
| VI | CS601 | Computer Networks | 3-1-0-4 | CS501 |
| VI | EE601 | Power Electronics | 3-1-0-4 | EE501 |
| VI | ME601 | Advanced Robotics | 3-1-0-4 | ME501 |
| VI | CE601 | Structural Dynamics | 3-1-0-4 | CE501 |
| VI | CH601 | Industrial Chemistry | 3-1-0-4 | CH501 |
| VI | HS601 | Research Methodology | 2-0-0-2 | HS501 |
| VI | GE601 | Global Engineering | 2-0-0-2 | - |
| VII | MA701 | Mathematics VII | 3-1-0-4 | MA601 |
| VII | PH701 | Quantum Field Theory | 3-1-0-4 | PH601 |
| VII | CS701 | Artificial Intelligence | 3-1-0-4 | CS601 |
| VII | EE701 | Microcontroller Applications | 3-1-0-4 | EE601 |
| VII | ME701 | Mobile Robotics | 3-1-0-4 | ME601 |
| VII | CE701 | Geotechnical Engineering II | 3-1-0-4 | CE601 |
| VII | CH701 | Biochemistry | 3-1-0-4 | CH601 |
| VII | HS701 | Project Proposal Writing | 2-0-0-2 | HS601 |
| VII | GE701 | Engineering Economics | 2-0-0-2 | - |
| VIII | MA801 | Mathematics VIII | 3-1-0-4 | MA701 |
| VIII | PH801 | Statistical Physics | 3-1-0-4 | PH701 |
| VIII | CS801 | Machine Learning | 3-1-0-4 | CS701 |
| VIII | EE801 | Advanced Control Systems | 3-1-0-4 | EE701 |
| VIII | ME801 | Human-Robot Interaction | 3-1-0-4 | ME701 |
| VIII | CE801 | Structural Health Monitoring | 3-1-0-4 | CE701 |
| VIII | CH801 | Environmental Chemistry | 3-1-0-4 | CH701 |
| VIII | HS801 | Final Project Development | 2-0-0-2 | HS701 |
| VIII | GE801 | Final Project Presentation | 2-0-0-2 | - |
Advanced Departmental Electives
Artificial Intelligence for Robotics (CS701): This course introduces students to the application of AI techniques in robotics, including neural networks, deep learning, reinforcement learning, and natural language processing. Students will learn how to implement intelligent behaviors in robots using modern AI frameworks.
Advanced Control Systems (EE801): Building upon earlier control theory courses, this subject covers advanced topics such as nonlinear control, robust control, adaptive control, and optimal control. Students will explore practical applications of these concepts in robotics and automation systems.
Human-Robot Interaction (ME801): This course explores the design and implementation of systems that enable effective communication between humans and robots. It covers topics such as speech recognition, gesture interpretation, affective computing, and social robotics.
Mobile Robotics (ME701): Students will learn about navigation, path planning, localization, and dynamic obstacle avoidance in mobile robotic systems. The course includes both theoretical concepts and practical implementation using ROS (Robot Operating System).
Embedded Systems for Robotics (EE701): This course focuses on designing and programming embedded systems for robotics applications. Students will gain hands-on experience with microcontrollers, real-time operating systems, and hardware-software integration.
Computer Vision in Robotics (CS702): Students will study techniques for processing and analyzing visual data in robotic systems. Topics include image filtering, feature extraction, object detection, and scene reconstruction using computer vision algorithms.
Reinforcement Learning for Autonomous Agents (CS801): This advanced course delves into reinforcement learning methodologies applied to autonomous agents in robotics. Students will implement and evaluate various RL algorithms including Q-learning, policy gradients, and actor-critic methods.
Swarm Robotics (ME601): This subject explores collective behavior in groups of robots, enabling them to perform tasks cooperatively without centralized control. Topics include coordination algorithms, distributed computing, and scalable robotics systems.
Bio-Inspired Robotics (ME501): Drawing inspiration from nature, students will learn how to develop robots that mimic biological systems. This includes biomimetic locomotion, soft robotics, and bio-inspired sensors and actuators.
Industrial Robotics (ME602): This course focuses on automation in manufacturing processes, including robot programming, safety standards, and integration with existing industrial infrastructure. Students will gain practical experience through lab sessions and industry visits.
Project-Based Learning Philosophy
The department believes that project-based learning is essential for developing competent and innovative robotics engineers. Students are encouraged to work on projects throughout their academic journey, starting from small group assignments in early semesters to large-scale capstone projects in the final year.
Mini-projects typically last 4-6 weeks and involve solving specific engineering problems using fundamental concepts learned in core courses. These projects allow students to apply theoretical knowledge in practical settings and develop problem-solving skills.
The final-year thesis or capstone project is a significant component of the program, lasting approximately 12 weeks. Students work closely with faculty mentors to design, implement, and document a substantial robotics system or algorithm. The evaluation criteria include technical depth, innovation, presentation quality, and overall impact on the field.
Project selection involves an open call process where students submit proposals based on their interests and available resources. Faculty members provide guidance in selecting appropriate topics and ensuring feasibility within the given timeframe.