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B-TECH-M-TECH in Control And Automation at Indian Institute of Technology Kanpur
Kanpur Nagar, Uttar Pradesh
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About the Specialization
What is Control and Automation at Indian Institute of Technology Kanpur Kanpur Nagar?
This Control and Automation program at Indian Institute of Technology Kanpur focuses on designing, analyzing, and implementing intelligent systems to regulate processes autonomously. It is crucial for India''''s burgeoning manufacturing, smart city, and defense sectors, contributing to efficiency and precision. The program differentiates itself by integrating theoretical foundations with hands-on experience, preparing students for advanced roles in automation. Industry demand for control engineers is robust, driven by the push for Industry 4.0 and advanced robotics.
Who Should Apply?
This program is ideal for engineering graduates, especially from Electrical, Electronics, Instrumentation, and Mechanical backgrounds, seeking to specialize in system control. Fresh graduates aspiring for R&D roles in robotics, industrial automation, or avionics will find it highly beneficial. Working professionals aiming to upskill in areas like process control, autonomous systems, or intelligent robotics can also leverage this curriculum. A strong foundation in mathematics and basic engineering principles is a prerequisite for success.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding India-specific career paths in companies like TCS, L&T, Honeywell, Siemens, DRDO, and ISRO. Entry-level salaries typically range from INR 8-15 LPA, with experienced professionals earning significantly more (INR 25+ LPA). Growth trajectories include lead control engineer, automation specialist, robotics engineer, or R&D scientist. The program also aligns with certifications in industrial automation and advanced control techniques, enhancing professional standing.
Student Success Practices
Foundation Stage
Master Core Mathematics and Physics- (Semester 1-2)
Develop strong analytical problem-solving skills by thoroughly understanding Calculus, Linear Algebra, Differential Equations, and fundamental Physics. Use resources like NPTEL courses, online problem sets (e.g., Brilliant.org), and peer study groups to solidify concepts, which are critical for advanced control theory.
Tools & Resources
NPTEL, Brilliant.org, Peer Study Groups
Career Connection
A strong mathematical foundation is indispensable for understanding advanced control algorithms and system modeling, directly impacting success in technical interviews and research roles.
Excel in Programming Fundamentals- (Semester 1-2)
Build a robust foundation in C/C++ and Python, focusing on data structures and algorithms. Participate in coding competitions (e.g., CodeChef, HackerRank) and contribute to open-source projects to enhance practical coding abilities, essential for implementing control algorithms and automation scripts.
Tools & Resources
CodeChef, HackerRank, GitHub, LeetCode
Career Connection
Proficiency in programming is vital for software-defined control, robotics, and embedded systems, making graduates highly desirable for R&D and product development roles.
Engage in Basic Circuit and System Labs- (Semester 1-2)
Actively participate in labs for Electrical Engineering and Digital Systems. Focus on understanding component behavior, circuit analysis, and logic design. Hands-on experience with breadboards, oscilloscopes, and basic microcontrollers (e.g., Arduino) will lay the groundwork for complex control hardware.
Tools & Resources
Breadboards, Oscilloscopes, Arduino/Raspberry Pi, Multimeters
Career Connection
Practical hardware skills are crucial for roles in industrial automation, embedded systems, and hardware-in-the-loop testing, directly preparing students for core engineering positions.
Intermediate Stage
Deep Dive into Control Systems Theory- (Semester 3-5)
Focus intensely on core Control Systems, Signals and Systems, and Network Theory courses. Utilize simulation tools like MATLAB/Simulink and Python''''s SciPy/Control libraries to apply theoretical concepts to practical system modeling and controller design.
Tools & Resources
MATLAB/Simulink, Python (SciPy, Control Library), Online Tutorials
Career Connection
Mastery of control theory and simulation tools is a direct asset for control systems design, analysis, and optimization roles in automotive, aerospace, and manufacturing industries.
Seek Early Industry Exposure through Internships- (Semester 3-5)
Actively pursue summer internships after 3rd or 4th semester with companies in automation, manufacturing, or robotics (e.g., Siemens, ABB, L&T). This provides practical application of learned concepts and helps in identifying areas of interest within Control and Automation.
Tools & Resources
IITK Career Development Cell, LinkedIn, Company Career Pages
Career Connection
Internships offer invaluable real-world experience, build industry contacts, and often lead to pre-placement offers, significantly boosting career prospects.
Participate in Robotics/Automation Clubs and Competitions- (Semester 3-5)
Join relevant student clubs (e.g., Robotics Club, Automobile Club) and participate in national level competitions like Robocon, BAJA SAE India, or drone challenges. This fosters teamwork, problem-solving, and practical implementation skills in a competitive environment.
Tools & Resources
Robotics Club (IITK), BAJA SAE India, Robocon, Drone Competitions
Career Connection
Club activities and competitions enhance practical skills, demonstrate initiative, and provide project experience that is highly valued by employers in the automation and robotics sectors.
Advanced Stage
Specialize through Advanced Electives and Projects- (Semester 6-8)
Strategically choose Program Electives (e.g., Digital Control, Optimal Control, Robotics, Machine Learning for Control) aligned with desired career paths. Start a significant research project (B.Tech Project I/II, M.Tech Thesis) in control and automation under faculty guidance, aiming for publications or prototypes.
Tools & Resources
Faculty Mentorship, Research Labs, Journals (IEEE, IFAC), Conferences
Career Connection
Specialized knowledge and a strong research project are critical for securing high-end R&D roles, academic positions, or pursuing further higher studies (PhD).
Intensive Placement Preparation and Skill Refinement- (Semester 6-8)
Dedicate time to prepare for technical interviews, focusing on advanced control theory, system design, and algorithms. Develop a strong portfolio of projects and highlight specialized skills (e.g., PLC programming, ROS, advanced MATLAB/Simulink). Leverage IITK''''s career development cell for mock interviews and resume building.
Tools & Resources
IITK Career Development Cell, Online Interview Platforms, Project Portfolio, LinkedIn
Career Connection
Thorough preparation and a well-articulated skill set directly lead to successful placements in top-tier companies seeking control and automation engineers.
Network with Alumni and Industry Leaders- (undefined)
Attend departmental seminars, industry conclaves, and alumni events to build a professional network. Connect with alumni working in core Control & Automation roles for mentorship and insights into industry trends and job opportunities in India and globally.
Tools & Resources
Alumni Association (IITK), Industry Conferences, LinkedIn Professional Network
Career Connection
Networking opens doors to hidden job markets, mentorship, and collaboration opportunities, providing a competitive edge in career advancement.
Program Structure and Curriculum
Eligibility:
- Admission through JEE Advanced for B.Tech component, with an integrated M.Tech. The M.Tech component has internal eligibility criteria based on B.Tech performance.
Duration: 10 semesters / 5 years
Credits: 387 (based on explicitly listed courses in R-21 curriculum, document states 422) Credits
Assessment: Internal: Course-specific, includes quizzes, assignments, mid-semester exams, External: Course-specific, includes end-semester exams, projects, thesis evaluation
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Mathematics I | Core | 8 | Differential Equations, Linear Algebra, Calculus of One Variable, Laplace Transforms, Sequences and Series |
| PH101 | Physics I | Core | 8 | Classical Mechanics, Special Relativity, Oscillations and Waves, Optics, Thermodynamics |
| CH101 | Chemistry I | Core | 8 | Atomic Structure, Chemical Bonding, Organic Reactions, Thermodynamics, Electrochemistry |
| CS101 | Computer Programming and Utilization | Core | 6 | Programming Fundamentals (C/Python), Data Types and Variables, Control Structures, Functions, Basic Algorithms |
| TA101 | Engineering Graphics | Lab | 6 | Orthographic Projections, Isometric Views, Sectioning, Dimensioning, CAD Principles |
| EE101 | Electrical Engineering Lab I | Lab | 3 | Basic Electrical Circuits, Circuit Components, Ohm''''s Law, Kirchhoff''''s Laws, Measurements |
| TA201 | Workshop Practice | Lab | 6 | Benchwork and Fitting, Carpentry, Welding Techniques, Sheet Metal Work, Basic Machining Operations |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Mathematics II | Core | 8 | Multivariable Calculus, Vector Calculus, Complex Analysis, Linear Algebra, Partial Differential Equations |
| PH102 | Physics Lab I | Lab | 3 | Experiments in Mechanics, Waves and Optics, Electricity and Magnetism, Data Analysis, Error Measurement |
| CH102 | Chemistry Lab I | Lab | 3 | Volumetric Analysis, Organic Synthesis, Analytical Techniques, Inorganic Preparations, Physical Chemistry Experiments |
| ESO2XX | Engineering Science Option 1 (Placeholder: Engineering Science Fundamentals) | Core | 8 | Applied Mechanics, Solid Mechanics, Thermodynamics, Materials Science, Fluid Mechanics |
| HSS-I | Humanities and Social Sciences Elective I | Elective | 8 | Psychology, Sociology, Economics, Philosophy, Literature |
| EE200 | Digital Systems | Core | 8 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Finite State Machines |
| EE210 | Electrical Engineering Lab II | Lab | 3 | Advanced DC/AC Circuits, Transformers, Electric Motors, Basic Electronics, Measurement Techniques |
| EE201 | Analog Circuits | Core | 8 | Diodes and Applications, Transistor Biasing, Amplifiers, Feedback Circuits, Operational Amplifiers |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Mathematics III | Core | 8 | Probability Theory, Statistical Inference, Numerical Methods, Fourier Transforms, Vector Spaces |
| ESO2XX | Engineering Science Option 2 (Placeholder: Engineering Science Applications) | Core | 8 | Engineering Thermodynamics, Materials Engineering, Manufacturing Processes, Design Principles, Energy Conversion |
| HSS-II | Humanities and Social Sciences Elective II | Elective | 6 | Ethics and Values, Literary Studies, Political Science, Public Administration, Entrepreneurship |
| EE202 | Signals and Systems | Core | 8 | Continuous and Discrete-time Signals, LTI Systems, Fourier Transform, Laplace Transform, Z-Transform |
| EE203 | Network Theory | Core | 8 | Circuit Analysis Techniques, Transient Response, Two-Port Networks, Resonance Circuits, Filter Design |
| EE204 | Electromagnetics | Core | 8 | Electrostatics, Magnetostatics, Maxwell''''s Equations, Plane Wave Propagation, Transmission Lines |
| EE211 | Signal Processing Lab | Lab | 3 | DSP Algorithms Implementation, Filter Design and Analysis, Signal Generation, Frequency Analysis, Real-time Signal Processing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE300 | Control Systems | Core | 8 | Feedback Control, System Stability, Root Locus Analysis, Bode and Nyquist Plots, State-Space Representation |
| EE301 | Microprocessors | Core | 8 | Microprocessor Architecture, Instruction Set, Assembly Language Programming, Memory Interfacing, I/O Operations |
| EE302 | Communication Systems | Core | 8 | Analog Modulation, Digital Modulation, Noise in Communication Systems, Multiplexing Techniques, Communication Channels |
| EE303 | Power Systems | Core | 8 | Power Generation and Transmission, Distribution Systems, Per-Unit System, Fault Analysis, Power System Stability |
| EE304 | Power Electronics | Core | 8 | Power Semiconductor Devices, DC-DC Converters, DC-AC Inverters, AC-DC Rectifiers, Motor Drives |
| EE310 | Control Systems Lab | Lab | 3 | PID Controller Implementation, System Response Analysis, Stability Experiments, Control System Design, Simulation Tools (e.g., MATLAB/Simulink) |
| EE311 | Microprocessors Lab | Lab | 3 | Microprocessor Programming, Peripheral Interfacing, Embedded System Design, Assembly Language Exercises, Hardware-Software Integration |
| EE312 | Power Electronics Lab | Lab | 3 | Converter and Inverter Experiments, Rectifier Characteristics, Motor Control Applications, Power Device Testing, Switching Circuit Analysis |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE400 | Digital Signal Processing | Core | 8 | Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), Z-Transform, IIR/FIR Filter Design, Multi-rate DSP |
| EE401 | VLSI Design | Core | 8 | CMOS Technology, Logic Gate Design, Circuit Layout, Design Tools and Flows, Device Scaling |
| EE402 | High Voltage Engineering | Core | 8 | Dielectric Breakdown, Generation of High Voltages, Measurement of High Voltages, Insulation Systems, Lightning and Switching Overvoltages |
| EE403 | Electrical Machines | Core | 8 | Transformers, DC Machines, Induction Machines, Synchronous Machines, Special Electrical Machines |
| EE410 | DSP Lab | Lab | 3 | DSP Algorithms Implementation, Filter Design and Testing, Real-time Signal Processing, Audio and Image Processing, Software Defined Radio |
| EE411 | VLSI Lab | Lab | 3 | ASIC Design Flow, Verilog/VHDL Programming, Simulation and Synthesis, Layout Design, FPGA Prototyping |
| PE1 | Program Elective 1 (e.g., EE601 Digital Control Systems) | Elective (Control & Automation) | 8 | Digital Control Theory, Z-Transform in Control, Sampled-Data Systems, State-Space Design for Digital Systems, Digital Controller Implementation |
| OE1 | Open Elective 1 | Elective | 3 | Interdisciplinary Topics, Soft Skills Development, Management Principles, Environmental Studies, Foreign Language |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE404 | Machine Learning for EE | Core | 8 | Supervised Learning, Unsupervised Learning, Deep Learning Architectures, Reinforcement Learning Basics, Applications in Electrical Engineering |
| EE405 | Renewable Energy Systems | Core | 8 | Solar Energy Systems, Wind Energy Systems, Hydro and Biomass Energy, Grid Integration Challenges, Energy Storage Technologies |
| EE412 | Advanced EE Lab | Lab | 3 | Advanced Power System Experiments, Complex Control System Design, Communication Network Simulation, Embedded System Projects, Real-time Applications |
| PE2 | Program Elective 2 (e.g., EE606 Robotics: Modelling, Planning and Control) | Elective (Control & Automation) | 8 | Robot Kinematics and Dynamics, Trajectory Planning, Robot Control Architectures, Sensors and Actuators in Robotics, Robot Vision Basics |
| PE3 | Program Elective 3 (e.g., EE602 Optimal Control Systems) | Elective (Control & Automation) | 8 | Calculus of Variations, Pontryagin''''s Maximum Principle, Dynamic Programming, Linear Quadratic Regulator (LQR), Optimal Trajectory Design |
| OE2 | Open Elective 2 | Elective | 3 | Art and Culture, Philosophy of Science, Public Speaking, Financial Management, Project Management |
| EE499 | Project I | Project | 8 | Research Problem Formulation, Literature Review, Initial Design and Methodology, Project Planning, Preliminary Implementation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE590 | Communication & Soft Skills | Core | 6 | Technical Writing, Oral Presentation Skills, Group Discussions, Professional Ethics, Interpersonal Communication |
| PE4 | Program Elective 4 (e.g., EE608 Learning for Control) | Elective (Control & Automation) | 8 | Reinforcement Learning for Control, Adaptive Control Systems, System Identification Techniques, Neural Networks in Control, Data-driven Control |
| OE3 | Open Elective 3 | Elective | 3 | Introduction to AI, Data Science Fundamentals, Innovation Management, Sustainable Development, Cognitive Science |
| EE599 | Project II | Project | 15 | Advanced Project Implementation, Experimental Setup and Validation, Data Analysis and Interpretation, Preliminary Results and Report Writing, System Prototyping |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE5 | Program Elective 5 (e.g., EE612 Model Predictive Control) | Elective (Control & Automation) | 8 | MPC Algorithms, Constrained Control Systems, Receding Horizon Control, State Estimation in MPC, Industrial Applications of MPC |
| EE699 | M.Tech Thesis | Thesis | 20 | Research Problem Definition, Methodology Development, Literature Survey, Initial Experimental Design, Thesis Proposal Preparation |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE699 | M.Tech Thesis | Thesis | 20 | In-depth Research and Experimentation, Data Collection and Analysis, Algorithm Development, Result Validation, Mid-stage Thesis Reporting |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EE699 | M.Tech Thesis | Thesis | 20 | Thesis Completion, Advanced Analysis and Interpretation, Final Report Writing, Thesis Defense Preparation, Publication of Research Findings |
