.png&w=1920&q=75)
B-E in Robotics Automation at Sahyadri College of Engineering & Management
Dakshina Kannada, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Robotics & Automation at Sahyadri College of Engineering & Management Dakshina Kannada?
This Robotics & Automation program at Sahyadri College of Engineering & Management focuses on designing, developing, and deploying intelligent systems for various industrial and service applications. It integrates mechanical engineering, electronics, computer science, and control systems. The curriculum is tailored to meet the growing demand for skilled professionals in India''''s rapidly expanding automation and manufacturing sectors, fostering innovation and technological prowess.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics, physics, and problem-solving, eager to delve into cutting-edge technologies. It also suits working professionals aiming to upskill in areas like industrial automation, AI, and robotics, or career changers looking to transition into the high-growth robotics industry with foundational engineering knowledge.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including robotics engineer, automation specialist, AI/ML engineer, manufacturing engineer, and R&D roles. Entry-level salaries typically range from INR 3-6 LPA, growing to INR 6-15+ LPA with experience. The program aligns with industry certifications and national initiatives like ''''Make in India'''' and ''''Industry 4.0'''', ensuring strong growth trajectories in leading Indian and MNC companies.
Student Success Practices
Foundation Stage
Master Engineering Fundamentals- (Semester 1-2)
Develop a strong grasp of core engineering subjects like Mathematics, Physics, Programming (C), and Basic Electrical/Electronics. Dedicate extra time to understand concepts thoroughly, practice problem-solving, and utilize online resources like NPTEL and Khan Academy for clarity. Form study groups to discuss complex topics and reinforce learning.
Tools & Resources
NPTEL, Khan Academy, Reference textbooks, Peer study groups
Career Connection
A solid foundation is crucial for advanced courses in robotics and automation, improving problem-solving abilities and making you eligible for core engineering roles in future placements.
Engage in Early Project-Based Learning- (Semester 1-2)
Start building simple projects using microcontrollers (e.g., Arduino, Raspberry Pi) to apply programming and electronics knowledge. Participate in college-level hackathons or mini-project competitions. Focus on hands-on creation, even if the projects are small, to develop practical skills and foster an innovative mindset.
Tools & Resources
Arduino Starter Kits, Raspberry Pi, Tinkercad, College project labs
Career Connection
Early exposure to project development enhances practical skills, showcases initiative to recruiters, and builds a portfolio for internships and job applications.
Cultivate Strong Communication Skills- (Semester 1-2)
Focus on developing professional English, technical writing, and presentation skills through dedicated courses and practice. Actively participate in debates, group discussions, and technical seminars. Seek feedback on written reports and presentations to continuously improve clarity and impact.
Tools & Resources
Toastmasters clubs, College English department workshops, Grammarly, Presentation software
Career Connection
Effective communication is vital for collaborating in teams, presenting project ideas, and excelling in interviews, significantly boosting placement prospects in India''''s corporate environment.
Intermediate Stage
Intensify Practical Skill Application- (Semester 3-5)
Maximize learning from Mechatronics, Fluid Power Automation, Control Systems, and Microcontroller labs. Go beyond prescribed experiments by exploring variations or small extensions. Learn industry-standard software like MATLAB/Simulink, SolidWorks/AutoCAD, and PLC programming platforms. Seek opportunities for mini-projects that integrate multiple domains.
Tools & Resources
MATLAB/Simulink, SolidWorks, PLC Simulators, College labs and workshops
Career Connection
Deep practical skills make you highly desirable for internships and entry-level engineering roles in automation, robotics, and manufacturing industries across India.
Seek Industry Exposure through Internships and Workshops- (Semester 4-6)
Actively search for internships during summer breaks in relevant industries (manufacturing, automotive, robotics startups). Participate in industry-specific workshops, technical talks, and webinars to understand real-world applications and emerging trends. Network with professionals through LinkedIn and college alumni events.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry association events
Career Connection
Internships provide invaluable real-world experience, help in building a professional network, and often lead to pre-placement offers, a significant advantage in the competitive Indian job market.
Specialize and Engage in Technical Competitions- (Semester 4-6)
Utilize professional electives (e.g., Industrial IoT, Additive Manufacturing) to develop specialized knowledge. Participate in national-level robotics competitions (e.g., Robocon, SAE BAJA), drone challenges, or automation hackathons. This hands-on competition experience refines problem-solving and teamwork skills.
Tools & Resources
Robocon India, SAE BAJA India, IEEE Robotics Competitions, Technical student clubs
Career Connection
Specialized skills and competition wins stand out on your resume, demonstrate practical expertise, and are highly valued by recruiters seeking niche talent in robotics and automation.
Advanced Stage
Undertake a Comprehensive Final Year Project- (Semester 7-8)
Choose a challenging final year project that integrates knowledge from various domains (AI/ML, Advanced Robotics, Industrial Automation). Work diligently on Project Work Phase I and II. Aim to develop a prototype, publish a paper in a national/international conference, or present at project exhibitions. Seek faculty mentorship and industry collaboration.
Tools & Resources
ROS (Robot Operating System), Gazebo simulator, High-performance computing resources, Research papers
Career Connection
A strong final year project is a cornerstone for placements, showcasing your comprehensive engineering skills, problem-solving abilities, and potential for R&D roles in Indian companies or higher studies.
Master Placement Preparation and Advanced Certifications- (Semester 7-8)
Focus intensely on aptitude training, technical interview preparation (coding, core concepts), and mock interviews. Pursue relevant certifications in AI/ML (e.g., TensorFlow Developer), Robotics (e.g., ROS certifications), or Industrial Automation (e.g., PLC programming certifications) from platforms like Coursera, Udemy, or NPTEL.
Tools & Resources
Online coding platforms (HackerRank, LeetCode), InterviewBit, Coursera/NPTEL certifications, College placement training programs
Career Connection
Thorough placement preparation combined with advanced certifications significantly increases your chances of securing high-paying jobs in top-tier companies across India, including IT, manufacturing, and core engineering sectors.
Develop a Professional Network and Career Plan- (Semester 7-8)
Actively network with alumni, industry experts, and faculty members. Attend industry seminars, conferences, and job fairs. Develop a clear career plan, whether it''''s immediate employment, entrepreneurship, or pursuing higher education (M.Tech/MS). Tailor your resume and cover letter for specific job profiles.
Tools & Resources
LinkedIn, Professional conferences (e.g., IEEE events), Alumni association events, Career counseling services
Career Connection
A strong professional network can open doors to opportunities not publicly advertised, while a clear career plan guides your final decisions, maximizing your chances for success in the dynamic Indian and global job markets.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with Physics, Mathematics, and Chemistry/Biology/Biotechnology/Technical Vocational Subject as compulsory subjects, with a minimum of 45% marks in aggregate (40% for reserved categories) in the qualifying examination. Admission through KCET/COMEDK or equivalent entrance exams.
Duration: 4 years / 8 semesters
Credits: 155 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS11 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Vector Algebra, Multiple Integrals, Partial Differential Equations |
| 22PCD12 | Programming for Problem Solving using C | Core | 4 | Introduction to C Programming, Control Structures and Loops, Functions and Pointers, Arrays and Strings, Structures and File Handling |
| 22ELN13 | Basic Electrical and Electronics Engineering | Core | 4 | DC and AC Circuits, Transformers and Induction Motors, Semiconductor Diodes and Rectifiers, Transistors and Amplifiers, Operational Amplifiers |
| 22MEK14 | Engineering Mechanics | Core | 4 | Force Systems and Equilibrium, Friction and Kinematics, Work, Energy and Power, Dynamics of Particles, Moment of Inertia |
| 22ENG15 | Professional English Skill | Core | 2 | Technical Communication, Presentation Skills, Report Writing, Group Discussion, Reading and Listening Skills |
| 22PCDL16 | Programming for Problem Solving using C Lab | Lab | 2 | C programming exercises, Control flow structures, Array and string manipulation, Functions and pointers applications, File operations in C |
| 22MEKL17 | Engineering Mechanics Lab | Lab | 1 | Experiments on force systems, Verification of Lami''''s theorem, Friction experiments, Simple lifting machines, Moment of inertia determination |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS21 | Engineering Mathematics-II | Core | 4 | Laplace Transforms, Inverse Laplace Transforms, Fourier Series, Probability Distributions, Numerical Methods |
| 22PHY22 | Engineering Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Lasers and Optical Fibers, Nanotechnology, Material Science |
| 22ELE23 | Analog and Digital Electronics | Core | 4 | Semiconductor Devices, Transistor Biasing and Amplifiers, Operational Amplifiers, Logic Gates and Boolean Algebra, Combinational and Sequential Circuits |
| 22CPH24 | Data Structures and Algorithms | Core | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| 22ENV25 | Environmental Studies | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources and Energy, Sustainable Development, Environmental Ethics and Management |
| 22PHYL26 | Engineering Physics Lab | Lab | 2 | Experiments on semiconductor characteristics, Optical phenomena, Electromagnetic induction, Measurement of physical constants, Thermal properties of materials |
| 22DSAL27 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of arrays and linked lists, Stack and queue operations, Tree traversals, Graph algorithms, Sorting and searching implementations |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA31 | Applied Thermodynamics | Core | 4 | Laws of Thermodynamics, Entropy and Reversibility, Power Cycles (Otto, Diesel, Rankine), Refrigeration Cycles, Heat Transfer Mechanisms |
| 22RA32 | Electrical Drives and Control | Core | 4 | DC Motor Drives, AC Motor Drives (Induction, Synchronous), Speed Control Techniques, Braking of Electrical Motors, Industrial Applications of Drives |
| 22RA33 | Mechatronics Systems | Core | 4 | Sensors and Transducers, Actuators and Drive Systems, Microcontrollers and PLC, Data Acquisition Systems, System Integration and Control |
| 22RA34 | Fluid Power Automation | Core | 4 | Hydraulic System Components, Pneumatic System Components, Fluid Power Circuits, Electro-Hydraulic and Electro-Pneumatic Systems, Automation with Fluid Power |
| 22RAL35 | Mechatronics Lab | Lab | 2 | Sensor interfacing experiments, Actuator control using microcontrollers, PLC programming for automation tasks, Data acquisition system setup, Mechatronic system design and testing |
| 22RAL36 | Fluid Power Automation Lab | Lab | 2 | Experiments on hydraulic circuits, Pneumatic circuit design and implementation, Component characteristics study, Electro-pneumatic control systems, Troubleshooting fluid power systems |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA41 | Control Systems | Core | 4 | Mathematical Models of Systems, Block Diagram and Signal Flow Graph, Time Response Analysis, Stability Analysis (Routh-Hurwitz, Root Locus), Frequency Response Analysis (Bode, Nyquist) |
| 22RA42 | Microcontrollers and Embedded Systems | Core | 4 | 8051 Microcontroller Architecture, ARM Processors, Embedded C Programming, Interrupts and Timers, Real-Time Operating Systems (RTOS) basics |
| 22RA43 | Industrial Robotics | Core | 4 | Robot Kinematics and Dynamics, Robot Manipulators and Grippers, Trajectory Generation, Robot Programming Languages, Applications of Industrial Robots |
| 22RA44 | CAD/CAM and Additive Manufacturing | Core | 4 | Geometric Modeling (Wireframe, Surface, Solid), CAD Software Tools, CAM Programming and Tool Path Generation, CNC Machining Processes, Introduction to Additive Manufacturing (3D Printing) |
| 22RAL45 | Control Systems Lab | Lab | 2 | Analysis of first and second order systems, PID controller tuning experiments, Frequency response analysis using MATLAB/Simulink, Lead-lag compensator design, Stability analysis of control systems |
| 22RAL46 | Microcontrollers and Embedded Systems Lab | Lab | 2 | 8051 and ARM microcontroller programming, Interfacing LEDs, LCDs, Keypads, Sensor integration and data acquisition, Serial communication protocols, Embedded system development using IDEs |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA51 | Artificial Intelligence and Machine Learning | Core | 4 | Introduction to AI and ML, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Neural Networks and Deep Learning Fundamentals, Reinforcement Learning Basics |
| 22RA52 | Digital Signal Processing | Core | 4 | Discrete-Time Signals and Systems, Z-Transform and DFT, Fast Fourier Transform (FFT), IIR and FIR Filter Design, DSP Processors and Applications |
| 22RA53 | Manufacturing Automation | Core | 4 | Automation Strategies and Architectures, Computer Integrated Manufacturing (CIM), Flexible Manufacturing Systems (FMS), Automated Material Handling and Storage, Automated Inspection and Quality Control |
| 22RAE541 | Industrial IoT | Elective | 3 | IoT Architecture and Protocols, Industrial Sensors and Actuators, Edge and Fog Computing, Cloud Platforms for IIoT, Cybersecurity in IIoT |
| 22RAOxx | Open Elective – 1 | Elective | 3 | Topics vary based on chosen elective from other departments |
| 22RAL55 | AI and Machine Learning Lab | Lab | 2 | Implementation of linear and logistic regression, Classification algorithms (SVM, Decision Trees), Clustering algorithms (K-Means), Basic neural network implementations, Data preprocessing and visualization |
| 22RAL56 | Digital Signal Processing Lab | Lab | 2 | Generation of discrete-time signals, Implementation of DFT and FFT, Design of IIR and FIR filters, Convolution and correlation, Audio and image processing applications |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA61 | Advanced Robotics | Core | 4 | Mobile Robot Kinematics and Control, Robot Navigation and Localization, Robot Learning and Adaptation, Human-Robot Interaction, Advanced Actuators and Sensors for Robotics |
| 22RA62 | Artificial Neural Networks and Deep Learning | Core | 4 | Perceptrons and Multilayer Perceptrons, Backpropagation Algorithm, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTMs, Transfer Learning and Advanced Architectures |
| 22RA63 | Production and Operations Management | Core | 4 | Production Planning and Control, Inventory Management Techniques, Quality Control and Assurance, Supply Chain Management, Lean and Agile Manufacturing |
| 22RAE641 | Additive Manufacturing and 3D Printing | Elective | 3 | Principles of Additive Manufacturing, Materials for 3D Printing, Stereolithography (SLA) and FDM, Selective Laser Sintering (SLS), Applications and Future Trends |
| 22RAOxx | Open Elective – 2 | Elective | 3 | Topics vary based on chosen elective from other departments |
| 22RAL65 | Advanced Robotics Lab | Lab | 2 | Robot programming using ROS, Mobile robot navigation and path planning, Sensor fusion for localization, Robot vision applications, Human-robot collaboration experiments |
| 22RAL66 | Deep Learning Lab | Lab | 2 | Implementation of CNNs for image classification, RNNs for sequence data, Transfer learning using pre-trained models, Optimization techniques for deep learning, Using TensorFlow/PyTorch frameworks |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA71 | Industrial Automation | Core | 4 | Programmable Logic Controllers (PLC) Programming, SCADA Systems and HMI, Distributed Control Systems (DCS), Industrial Communication Networks, Automation Case Studies |
| 22RA72 | Optimization Techniques | Core | 4 | Linear Programming and Simplex Method, Non-Linear Programming, Dynamic Programming, Evolutionary Algorithms (Genetic Algorithms), Optimization Applications in Engineering |
| 22RAE731 | Bio-Inspired Robotics | Elective | 3 | Biomimetic Design Principles, Bio-inspired Locomotion and Manipulation, Soft Robotics, Sensory Systems in Nature, Applications in Medical and Rehabilitation Robotics |
| 22RAE732 | Service Robotics | Elective | 3 | Service Robot Architectures, Navigation and SLAM, Human-Robot Collaboration in Service, Domestic and Healthcare Robotics, Robot Vision for Service Applications |
| 22RAOxx | Open Elective – 3 | Elective | 3 | Topics vary based on chosen elective from other departments |
| 22RAP74 | Project Work – Phase I | Project | 2 | Problem Identification and Formulation, Literature Survey and State-of-Art, Methodology and Design Phase, Preliminary Implementation and Results, Technical Report Writing |
| 22RAI75 | Internship (22RAI75)-2 / Project Internship | Internship/Project | 1 | Industrial exposure and problem identification, Application of engineering principles, Technical documentation and reporting, Professional communication skills, Teamwork and project management |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22RA81 | Robotics and Automation for Sustainable Development | Core | 4 | Sustainable Manufacturing Practices, Energy Efficiency in Automation, Robotics for Waste Management, Smart Cities and Green Technologies, Social and Ethical Impact of Automation |
| 22RAP82 | Project Work – Phase II | Project | 8 | Detailed design and system integration, Implementation and experimental validation, Performance evaluation and analysis, Comprehensive project report preparation, Final presentation and demonstration |
| 22RAS83 | Technical Seminar | Skill Course | 1 | Advanced topic research and literature review, Technical paper presentation skills, Effective communication of complex ideas, Audience engagement techniques, Report writing and bibliography management |
| 22RAI84 | Internship (22RAI84)-3 / Project Internship | Internship/Project | 2 | In-depth industry experience, Advanced problem-solving in real-world scenarios, Contribution to ongoing industrial projects, Professional networking and career exploration, Mentorship and skill development |
