B.E. Mechatronics Engineering Curriculum PDF

K. S. Rangasamy College of Technology (Autonomous Institution affiliated to Anna University, Chennai) CURRICULUM AND SYLLABI of B.E. Mechatronics Engineering...

K. S. Rangasamy College of Technology (Autonomous Institution affiliated to Anna University, Chennai) CURRICULUM AND SYLLABI of B.E. Mechatronics Engineering (For the batch admitted in 2022– 2023) R 2022 Courses Accredited by NBA, Accredited by NAAC with ‘A++’ Grade, Approved by AICTE, Affiliated to Anna University, Chennai. KSR Kalvi Nagar, Tiruchengode – 637 215. Namakkal District, Tamil Nadu, India. R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  VISION To become a pioneer in producing competent Mechatronics Engineers, researchers and entrepreneurs through quality education MISSION  To produce competent and ethically bound Mechatronics professionals by imparting the technical knowledge and skills through quality teaching learning process  To build an environment that is favourable for employability skills through collaborations with academia and industry  To groom the students to focus on higher studies, research, entrepreneurship and be committed to the societal welfare and quality of life by creating an effective ecosystem PROGRAM EDUCATIONAL OBJECTIVES (PEOs) PEO1: Core competencies: Our graduates apply engineering knowledge to solve problems in Mechatronics and relevant fields. PEO2: Employability: Our graduates demonstrate technical and professional skills to ethically address the industrial and societal needs. PEO3: Higher Studies, Research and Entrepreneurship: Our graduates pursue higher studies, research and entrepreneurship in diverse fields. PROGRAM OUTCOMES (POs) PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. PO3: Design /development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. PROGRAMME SPECIFIC OUTCOMES (PSOs): Engineering Graduates will be able to: PSO1: Specify, design and develop automation systems for the given engineering applications. PSO2: Design and evaluate mechatronic systems using the state-of-the-art equipment and software tools. R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024 MAPPING OF PROGRAMME EDUCATIONAL OBJECTIVES (PEOs) WITH PROGRAMMEOUTCOMES (POs) The B.E. Mechatronics Engineering Programme outcomes leading to the achievement of the objectives are summarized in the following Table. Programme Programme Outcomes Educational PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 Objectives PEO 1 3 1 3 2 2 1 1 1 2 2 3 1 PEO 2 3 3 3 2 2 1 1 1 2 2 3 1 PEO 3 3 2 3 2 2 1 1 1 3 2 3 1 Contributions: 1- low, 2- medium, 3- high MAPPING: MECHATRONICS ENGINEEIRNG (UG) PO Year Sem. Course Name 1 2 3 4 5 6 7 8 9 10 11 12 Professional English-I - - - - - - - 2 3 3 2 3 Matrices and Calculus 3 2 - - 2 - - - - - - - Engineering Physics 3 2 - - - - - - - - - - Basic Electrical Electronics Engineering and 2.6 2 2 2.3 3 2 2 Measurements Engineering Mechanics 3 3 2 2 1 - - - - - - 2 I Environmental Studies and 3 3 3 3 3 3 3 3 3 2 2 3 Climate Change Fabrication and Reverse 3 2 3 2 2 3 3 Engineering Laboratory Basic Electrical Electronics Engineering and 3 1.8 - - - - - 3 2 2 2 - I Measurements Laboratory Professional English-II - - - - - - - 2 3 3 2 3 Integrals and Partial Differential Equations and 3 3 - - 2 - - - - - - - Laplace Transform Engineering Drawing 3 2.8 3 3 3 C Programming 1 3 - 2 3 - - 2 - - - 2 II Chemistry for Mechanical 3 2.2 2.5 1.5 1.7 1 2 Sciences Heritage of Tamils - - - - - - 3 3 - 2 - 3 Physics & Chemistry 3 2 2 2 Laboratory C Programming Laboratory 1 3 - 2 3 - - 2 - - - 2 Career Skill Development-I - - - - - - - - - - - - Statistics and Numerical 3 2 - - 2 - - - - - - - Methods Analog Devices and Digital 3 1.6 1.6 1.6 1 - - - 1 1 1 2 Circuits Sensors and Instrumentation 3 2.4 1.7 - 2.3 - - - - 2 - 2 Manufacturing Technology 3 - - - 2.2 - 3 - - - 2 3 II III Mechanics of Solids 3 3 3 1.8 3 2 - - - 2 - 2 Universal Human Values - - - - - 3 3 3 2.8 3 2 3 Analog Devices and Digital 2 2.75 1.7 2 2 - - 1.3 2 1.7 1 1 Circuits Laboratory Manufacturing Technology 3 2 2 - - - - - 2 - 2 2 Laboratory Career Skill Development-II - - - - - - - 2 3 3 2 3 R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Industrial Drives and Control 3 2.6 3 2.6 2.8 - - 1.8 1.2 1 1 1 Fluid Mechanics and 3 3 2 2 - - - - 1 - - 1 Thermodynamics Metrology and Statistical 3 3 2 2 - - - - 1 - - 1 Quality Control Hydraulic and Pneumatic 3 2 2 1.5 1.6 1 1 - 1 - - - II IV Control Virtual Instrumentation and 3 3 1.8 2.2 3 2 2 2 2 3 3 2.5 Applications Industrial Drives and Control 2 2.75 1.7 2 2 - - 1.3 2 1.75 1 1 Laboratory Applied Mechanics Laboratory 3 2 - - - 2 3 - 2 2 - 2 Career Skill Development-III 2.6 2.6 2.6 2.8 - 2.4 - - - 2 3 3 Microprocessors and 2.5 2.5 2.3 2.7 2.5 2 2 2.5 3 3 2.2 2.4 Microcontrollers System Design and Control 3 3 2.8 2.6 1 1.2 1 2 1 2 1 2.2 Kinematics and Dynamics of 3 3 3 3 3 - - - - - - 2 Machines Total Quality Management 3 2.5 - - 2.5 2.6 2.5 3 2.5 2.75 - 3 Start-ups and 2.8 2.6 3 2.4 2.2 2.5 1.7 1.7 1.3 2 2.2 2.4 V Entrepreneurship Microprocessors and 3 - - 3 - 3 - - 3 - 2 3 Microcontrollers Laboratory Metrology and Dynamics 3 - - 3 - 3 - - 3 - 2 3 Laboratory Design Thinking and - - - - - - - - - - - - III Innovation Laboratory Career Skill Development-IV - - - - - - - - - - - - Industrial Automation 3 2.8 2.4 2.2 2.4 2 3 3 3 3 2.3 2.3 Controllers Machine Design 1.6 2.4 1.6 2 1.8 1.7 2.3 2 3 1.7 1.7 2.2 Computer Aided Design and 2.2 2.6 2.6 2.2 2.8 2 - - - 2.4 - 2.6 Manufacturing Computer Aided VI 3 2 2 - - - - - 2 - 2 2 Manufacturing Laboratory Design Thinking and 2 Industrial Automation 3 2.8 2.4 2.2 3 2 3 3 3 3 2.3.3 Laboratory Design Thinking and Product - - - - - - - - - - - - Development laboratory Robotics Engineering 2.4 2 2.2 1.8 1.8 - - - - - 2.5 2.2 Embedded System 2.6 2.2 2.4 2.2 2.8 2 2.2 2.3 2.4 1.6 2 2 Automation in Automobiles 3 2 1 1 - 1 - - - - - 1 Embedded System VII 3 2.6 2.8 2.5 3 1.5 - 2 1.5 3 2 2 IV Laboratory Robotics and Machine Vision 2.4 2.6 2 2 3 2 2.5 2 2 3 2.5 2.5 Laboratory Project Work - Phase I 2.4 2.6 1.6 2 2 3 3 3 2 2 1.4 VIII Project Work - Phase II 2.4 2.6 1.6 2 2 3 3 3 2 2 1.4 R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  K.S. RANGASAMY COLLEGE OF TECHNOLOGY Credit Distribution for B.E(MCT)Programme–2022 –2023 Batch S. Credits Per Semester Total Percentage Category No. I II III IV V VI VII VIII Credits % 1. HS 2 2 - - 3 - - - 07 4.29 2. BS 7 9 4 - - - - - 20 12.27 3. ES 11 9 - - - - - - 12 7.36 4. PC - - 18 21 15 15 13 - 90 55.22 5. PE - - - - 3 6 3 3 15 9.20 6. OE - - - 3 3 3 - - 09 5.52 7. CG - - - - - - 2 8 10 6.14 8. MY - MY I MY II - MY III - - - - - 9. AC - - - - - - AC I - - - 10. GE* - 1* 1* - 2* - - - 4* - Total 20 20 22 24 24 24 18 11 163 100 # General Elective- Extra credits is offered HS – HUMANITIES AND SOCIAL SCIENCES BS – BASIC SCIENCE ES – ENGINEERING SCIENCES PC – PROFESSIONAL CORE PE – PROFESSIONAL ELECTIVES OE – OPEN ELECTIVES CG – CAREER GUIDANCE COURSES MY – MANDATORY COURSES AC – AUDIT COURSES GE – GENERAL ELECTIVE Open Electives are courses offered by different departments that do not have any prerequisites and could be of interest to students of any branch R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  K.S.RANGASAMY COLLEGE OF TECHNOLOGY,TIRUCHENGODE -637215 (An Autonomous Institution affiliated to Anna University) HUMANITIES AND SOCIAL SCIENCES (HS) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. 60 EN 001 Professional English - I HS 2 1 1 0 2 -NIL- 2. 60 EN 002 Professional English - II HS 2 1 1 0 2 -NIL- Total Quality 3. 60 HS 003 HS 3 3 0 0 3 -NIL- Management NCC/NSS/NSO/YRC/RR 4. 60 AB 00* HS 4 2 0 2 3* -NIL- C/Fine Arts* BASIC SCIENCE (BS) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. 60 MA 001 Matrices and Calculus BS 4 3 1 0 4 -NIL- 2. 60 PH 001 Engineering Physics BS 3 3 0 0 3 -NIL- Chemistry for Mechanical 3. 60 CH 001 BS 3 3 0 0 3 -NIL- Sciences Physics and Chemistry 4. 60 CP 0P1 BS 4 0 0 4 2 -NIL- Laboratory Integrals, Partial 5. 60 MA 003 Differential Equations and BS 4 3 1 0 4 -NIL- Laplace Transform Statistics and Numerical 6. 60 MA 007 BS 4 3 1 0 4 -NIL- Methods ENGINEERING SCIENCES (ES) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods Fabrication and Reverse 1. 60 ME 0P1 ES 4 0 0 4 2 -NIL- Engineering Laboratory 2. 60 CS 001 C Programming ES 3 3 0 0 3 -NIL- Basic Electrical and 3. 60 EE 003 ES 3 3 0 0 3 -NIL- Electronics Engineering C Programming 4. 60 CS 0P1 ES 4 0 0 4 2 -NIL- Laboratory Basic Electrical and 5. 60 EE 0P1 Electronics Engineering ES 6 2 0 4 4 -NIL- Laboratory R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  PROFESSIONAL CORE (PC) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods Analog Devices and 1. 60 MC 301 PC 3 3 0 0 3 NIL Digital Circuits Sensors and 2. 60 MC 302 PC 5 3 0 2 4 NIL Instrumentation Manufacturing 3. 60 MC 303 PC 3 3 0 0 3 Engineering Physics Technology 4. 60 MC 304 Mechanics of Solids PC 4 3 1 0 4 Applied Mechanics Analog Devices and Analog Devices and 5. 60 MC 3P1 PC 4 0 0 4 2 Digital Circuits Laboratory Digital Circuits Manufacturing Manufacturing 6. 60 MC 3P2 PC 4 0 0 4 2 Technology Laboratory Technology Basic Electrical and Industrial Drives and 7. 60 MC 401 PC 3 3 0 0 3 Electronics Control Engineering Fluid Mechanics and 8. 60 MC 402 PC 4 3 1 0 4 Mechanics of Solids Thermodynamics Metrology and Statistical 9. 60 MC 403 PC 3 3 0 0 3 NIL Quality control Hydraulic and Pneumatic Fluid Mechanics and 10. 60 MC 404 PC 5 3 0 2 4 control Thermodynamics Virtual Instrumentation 11. 60 MC 405 PC 4 3 1 0 4 NIL and Applications Industrial Drives and Industrial Drives and 12. 60 MC 4P1 PC 4 0 0 4 2 Control Laboratory Control Metrology and Applied Mechanics 13. 60 MC 4P2 PC 4 0 0 4 2 Statistical Quality Laboratory Control Microprocessors and Analog Devices and 14. 60 MC 501 PC 3 3 0 0 3 Microcontrollers Digital Circuits System Design and 15. 60 MC 502 PC 4 3 1 0 4 NIL Control 16. 60 MC 503 Theory of Machines PC 4 3 1 0 4 NIL Microprocessors and Microprocessors and 17. 60 MC 5P1 Microcontrollers PC 3 0 0 3 1.5 Microcontrollers Laboratory Metrology and Metrology and Dynamics 18. 60 MC 5P2 PC 3 0 0 3 1.5 Statistical Quality Laboratory Control Design Thinking and 19. 60 MC 5P3 PC 2 0 0 2 1 NIL Innovation Laboratory Industrial Automation System Design and 20. 60 MC 601 PC 3 3 0 0 3 Controllers Control 21. 60 MC 602 Machine Design PC 4 3 1 0 4 Theory of Machines Computer Aided Design 22. 60 MC 603 PC 3 3 0 0 3 NIL and Manufacturing Computer Aided Computer Aided Design 23. 60 MC 6P1 PC 3 0 0 3 1.5 Manufacturing Laboratory and Manufacturing Design Thinking and Industrial Automation 24. 60 MC 6P2 Industrial Automation PC 3 0 0 3 1.5 Controllers Laboratory Design Thinking and 25. 60 MC 6P3 Product Development PC 2 0 0 2 1 NIL laboratory 26. 60 MC 701 Robotics Engineering PC 3 3 0 0 3 NIL R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Microprocessors and 27. 60 MC 702 Embedded System PC 3 3 0 0 3 Microcontrollers Automation in Industrial Automation 28. 60 MC 703 PC 3 3 0 0 3 Automobiles Controllers Embedded System 29. 60 MC 7P1 PC 4 0 0 4 2 Embedded System Laboratory Robotics and Machine 30. 60 MC 7P2 PC 4 0 0 4 2 Robotics Engineering Vision Laboratory PROFESSIONAL ELECTIVES (PE): Vertical (Vertical VI) (Vertical II) (Vertical V) (Vertical I) (Vertical III) (Vertical IV) Logistics and Elective Electric Design and Robotics Drone Manufacturing Supply Chain Vehicle Analysis Management Applied Automation in Mobile Electric Aircraft Design of ELECTIVE I Materials Process Robotics Vehicle Mechatronics Experiments Technology Industries Agricultural Design of Navigation and Non Optimization Supply Chain ELECTIVE II Robotics and Transmission Communication Destructive Techniques Management Automation Systems Systems Testing Robots and Non- Product Systems in Automotive Design of UAV conventional Ware House ELECTIVE III Design and Smart Electronics Systems Machining Management Costing Manufacturing Processes Process Design of Finite Mechatronics Drone Design for Planning and ELECTIVE IV Robot Element System Technology Manufacturing Cost Elements Analysis Estimation Smart Robotic Mobility and Aerodynamics of AI/ML for Rapid Container ELECTIVE V Welding Intelligent Drones Manufacturing Prototyping Logistics Technology Vehicles R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  PROFESSIONAL ELECTIVES (PE) Semester V Elective –I S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. 60 MC E11 Mobile Robotics PE 3 3 0 0 3 Robotics Engineering 2. 60 MC E12 Electric Vehicle PE 3 3 0 0 3 Industrial Drives and Control, Sensors and Instrumentation 3. 60 MC E13 Aircraft Mechatronics PE 3 3 0 0 3 Applied Mechanics 4. 60 MC E14 Applied Materials Technology PE 3 3 0 0 3 NIL 5. 60 MC E15 Design of Experiments PE 3 3 0 0 3 NIL 6. 60 MC E16 Automation in Process Industries PE 3 3 0 0 3 Industrial Automation Controllers Semester VI Elective –II S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. Agricultural Robotics and 60 MC E21 PE 3 3 0 0 3 Robotics Engineering Automation 2. 60 MC E22 Design of Transmission Systems PE 3 3 0 0 3 NIL 3. Navigation and Communication 60 MC E23 PE 3 3 0 0 3 NIL Systems 4. 60 MC E24 Non Destructive Testing PE 3 3 0 0 3 NIL 5. 60 MC E25 Optimization Techniques PE 3 3 0 0 3 NIL 6. 60 MC E26 Supply Chain Management PE 3 3 0 0 3 NIL Semester VI Elective –III S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. Robots and Systems in Smart 60 MC E31 PE 3 3 0 0 3 Robotics Engineering Manufacturing 2. Sensors and 60 MC E32 Automotive Electronics PE 3 3 0 0 3 Instrumentation 3. 60 MC E33 Design of UAV Systems PE 3 3 0 0 3 NIL 4. Non-conventional Machining 60 MC E34 PE 3 3 0 0 3 NIL Processes 5. Manufacturing 60 MC E35 Product Design and Costing PE 3 3 0 0 3 Technology 6. 60 MC E36 Ware House Management PE 3 3 0 0 3 NIL Semester VII Elective –IV S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. 60 MC E41 Design of Robot Elements PE 4 2 0 2 3 Robotics Engineering 2. Sensors and 60 MC E42 Mechatronics System PE 4 2 0 2 3 Instrumentation 3. 60 MC E43 Drone Technology PE 4 2 0 2 3 NIL 4. 60 MC E44 Design for Manufacturing PE 4 2 0 2 3 NIL 5. 60 MC E45 Finite Element Analysis PE 4 2 0 2 3 NIL 6. Process Planning and Cost 60 MC E46 PE 4 2 0 2 3 NIL Estimation R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Semester VIII Elective –V S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 3 0 0 3 Robotics 1. 60 MC E51 Robotic Welding Technology PE 3 Engineering 2. 60 MC E52 Smart Mobility and Intelligent Vehicles PE 3 3 0 0 3 NIL 3. 60 MC E53 Aerodynamics of Drones PE 3 3 0 0 3 NIL 3 0 0 3 Manufacturing 4. 60 MC E54 AI/ML for Manufacturing PE 3 Technology 5. 60 MC E55 Rapid Prototyping PE 3 3 0 0 3 NIL 6. 60 MC E56 Container Logistics PE 3 3 0 0 3 NIL MANDATORY COURSES (MY) S. Contact Course Code Course Title Category L T P C Pre-requisite No. Periods Environmental Studies and Climate 1. 60 MY 001 MY 2 2 0 0 0 Nil Change 2. 60 MY 002 Universal Human Values MY 3 3 0 0 3* Nil 3. 60 MY 003 Start-ups and Entrepreneurship MY 2 2 0 0 2* Nil SEMESTER VII & SEMESTER VIII, AUDIT COURSES (AC) S. Contact Course Code Course Title Category L T P C Pre-requisite No. Periods 1. 60 AC 001 Research Skill Development AC 1 1 0 0 0 Nil OPEN ELECTIVES I / II / III / IV (OE) S. Contact Course Code Course Title Category L T P C Pre-requisite No. Periods 1. 60 MC L003 Applied Ergonomics OE 3 3 0 0 3 Nil 2. 60 MC L004 Automation in Process Industries OE 3 3 0 0 3 Nil 3. 60 MC L06 Safety and Risk Analytics OE 3 3 0 0 3 Nil INTEGRATED COURSES (IC) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods 1. 60 MC 302 Sensors and Instrumentation PC 5 3 0 2 4 NIL Fluid Mechanics Hydraulic and Pneumatic 2. 60 MC 404 PC 5 3 0 2 4 and control Thermodynamics Virtual Instrumentation and 3. 60 MC 405 PC 4 2 0 2 3 NIL Applications Robotics 4. 60 MC E41 Design of Robot Elements PE 4 2 0 2 3 Engineering Sensors and 5. 60 MC E42 Mechatronics System PE 4 2 0 2 3 Instrumentation 6. 60 MC E43 Drone Technology PE 4 2 0 2 3 NIL 7. 60 MC E44 Design for Manufacturing PE 4 2 0 2 3 NIL 8. 60 MC E45 Finite Element Analysis PE 4 2 0 2 3 NIL Process Planning and Cost 9. 60 MC E46 PE 4 2 0 2 3 NIL Estimation CAREER GUIDANCE COURSES (CG) S. Course Contact Course Title Category L T P C Pre-requisite No. Code Periods Basic knowledge 1. 60 CG 0P1 Career Skill Development I CG 2 0 0 2 1* of reading and writing in English CG Basic knowledge 2. 60 CG 0P2 Career Skill Development II 2 0 0 2 1* of reading and R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  writing in English CG Career Skill 3. 60 CG 0P3 Career Skill Development III 2 0 0 2 1* Development – II Career Skill Development CG Career Skill 4. 60 CG 0P4 2 0 0 2 1* Development – III IV CG Career Skill 5. 60 CG 0P5 Comprehension Test 2 0 0 2 1* Development I, II, III, IV 6. 60 MC 7P3 Project Work - Phase I CG 4 0 0 4 2 Nil 7. 60 MC 8P1 Project Work - Phase II CG 4 0 0 4 8 Nil 8. 60 CG 00* Internship* CG 0 0 0 0 3* Nil GENERAL ELECTIVE (GE) S. Contact Course Code Course Title Category L T P C Pre-requisite No. Periods Heritage of Tamils / தமிழர் மரபு 1. 60 GE 001 GE 1 1 0 0 1* Nil (Common to all Branches ) Tamils and Technology / 2. 60 GE 002 தமிழரும் ததொழில்நுட்பமும் GE 1 1 0 0 1* Nil (Common to all Branches ) K.S.RANGASAMY COLLEGE OF TECHNOLOGY, TIRUCHENGODE - 637215 (An Autonomous Institution affiliated to Anna University) COURSES OF STUDY (For the candidates admitted from 2022-2023 onwards) SEMESTER I S. Course Contact Course Title Category L T P C No. Code Periods Induction Programme - - - - - 0 THEORY 1. 60 EN 001 Professional English-I HS 3 1 0 2 2 2. 60 MA 001 Matrices and Calculus BS 5 3 1 0 4 3. 60 PH 001 Engineering Physics BS 3 3 0 0 3 4. 60 EE 001 Basic Electrical and Electronics Engineering ES 3 3 0 0 3 5. 60 ME 004 Engineering Mechanics ES 5 3 1 0 4 6. 60 MY 001 Environmental Studies and Climate Change MY 2 2 0 0 0 PRACTICALS 7. 60 ME 0P1 Fabrication and Reverse Engineering Laboratory ES 4 0 0 4 2 Basic Electrical and Electronics Engineering 8. 60 EE 0P1 ES 4 0 0 4 2 Laboratory Total 29 15 02 10 20 I to VII semester NCC% - Course can be waived with 3 credits in VII semester or offered as extra credits NSS/NSO/YRC/RRC/Fine Arts% 3 credits is not accounted for CGPA Career Skill Development (CSD) - additional credit is offered not accounted for CGPA. I to VIII semester Internship 3 additional credits not accounted for CGPA is offered based on the Internship duration R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  SEMESTER II S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 EN 002 Professional English-II HS 3 1 0 2 2 Integrals, Partial Differential Equations and Laplace 2. 60 MA 003 BS 5 3 1 0 4 Transform 3. 60 ME 001 Engineering Drawing ES 6 2 0 4 4 4. 60 CS 001 C Programming ES 3 3 0 0 3 5. 60 CH 001 Chemistry for Mechanical Sciences BS 3 3 0 0 3 6. 60 GE 001 Heritage of Tamils / தமிழர் மரபு GE 1 1 0 0 1& PRACTICALS 7. 60 CP 0P1 Physics and Chemistry Laboratory BS 4 0 0 4 2 8. 60 CS 0P1 C Programming Laboratory ES 4 0 0 4 2 9. 60 CG 0P1 Career Skill Development-I CG 2 0 0 2 1* Total 31 13 1 16 20 Heritage of Tamils& additional 1 credit is offered and not account for CGPA. SEMESTER III S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 MA 007 Statistics and Numerical Methods BS 5 3 1 0 4 2. 60 MC 301 Analog Devices and Digital Circuits PC 3 3 0 0 3 3. 60 MC 302 Sensors and Instrumentation PC 5 3 0 2 4 4. 60 MC 303 Manufacturing Technology PC 3 3 0 0 3 5. 60 MC 304 Mechanics of Solids PC 5 3 1 0 4 6. 60 MY 002 Universal Human Values MY 3 3 0 0 3# PRACTICALS 7. 60 MC 3P1 Analog Devices and Digital Circuits Laboratory PC 4 0 0 4 2 8. 60 MC 3P2 Manufacturing Technology Laboratory PC 4 0 0 4 2 9. 60 CG 0P2 Career Skill Development-II CG 2 0 0 2 1* 10. 60 CG 0P6 Internship CG - - - - 1/2/3$ Total 34 18 2 12 22 UHV# additional 3 credit is offered and not accounted for CGPA SEMESTER IV S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 MC 401 Industrial Drives and Control PC 3 3 0 0 3 2. 60 MC 402 Fluid Mechanics and Thermodynamics PC 5 3 1 0 4 3. 60 MC 403 Metrology and Statistical Quality control PC 3 3 0 0 3 4. 60 MC 404 Hydraulic and Pneumatic control PC 5 3 0 2 4 5. 60 MC 405 Virtual Instrumentation and Applications PC 4 2 0 2 3 6. 60 MC L0* Open Elective-I OE 3 3 0 0 3 PRACTICALS 7. 60 MC 4P1 Industrial Drives and Control Laboratory PC 4 0 0 4 2 8. 60 MC 4P2 Applied Mechanics Laboratory PC 4 0 0 4 2 9. 60 CG 0P3 Career Skill Development-III CG 2 0 0 2 1* 10. 60 CG 0P6 Internship CG - - - - 1/2/3* Total 33 17 1 14 24 SEMESTER V R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024 S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 MC 501 Microprocessors and Microcontrollers PC 3 3 0 0 3 2. 60 MC 502 System Design and Control PC 5 3 1 0 4 3. 60 MC 503 Kinematics and Dynamics of Machines PC 5 3 1 0 4 4. 60 HS 003 Total Quality Management HS 3 3 0 0 3 5. 60 MY 003 Start-ups and Entrepreneurship MY 2 2 0 0 2* 6. 60 MC E1* Elective-I PE 3 3 0 0 3 7. 60 MC L0* Open Elective-II OE 3 3 0 0 3 PRACTICALS 8. 60 MC 5P1 Microprocessors and Microcontrollers Laboratory PC 3 0 0 3 1.5 9. 60 MC 5P2 Metrology and Dynamics Laboratory PC 3 0 0 3 1.5 10. 60 MC 5P3 Design Thinking and Innovation Laboratory PC 2 0 0 3 1 11. 60 CG 0P4 Career Skill Development-IV CG 2 0 0 2 1* 12. 60 CG 0P6 Internship CG - - - - 1/2/3* Total 34 20 2 10 24 SEMESTER VI S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 MC 601 Industrial Automation Controllers PC 5 3 1 0 4 2. 60 MC 602 Machine Design PC 5 3 1 0 4 3. 60 MC 603 Computer Aided Design and Manufacturing PC 3 3 0 0 3 4. 60 MC E2* Elective-II PE 3 3 0 0 3 5. 60 MC E3* Elective-III PE 3 3 0 0 3 6. 60 MC L0* Open Elective-III OE 3 3 0 0 3 PRACTICALS 7. 60 MC 6P1 Computer Aided Manufacturing Laboratory PC 3 0 0 3 1.5 Design Thinking and Industrial Automation 8. 60 MC 6P2 PC 3 0 0 3 1.5 Laboratory Design Thinking and Product Development 9. 60 MC 6P3 PC 2 0 0 3 1 laboratory 10. 60 MC 6P4 Mini Project PC 2 0 0 2 1& 11. 60 CG 0P5 Comprehension Test CG 2 0 0 2 1* 12. 60 CG 0P6 Internship CG - - - - 1/2/3* Total 32 18 2 10 24 Comprehension Test* -one additional credit is offered and not accounted for CGPA calculation Miniproject& - 1 additional credit is offered and not accounted for CGPA calculation SEMESTER VII R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024 S. Contact Course Code Course Title Category L T P C No. Periods THEORY 1. 60 MC 701 Robotics Engineering PC 3 3 0 0 3 2. 60 MC 702 Embedded System PC 3 3 0 0 3 3. 60 MC 703 Automation in Automobiles PC 3 3 0 0 3 4. 60 MC E4* Elective-IV PE 4 2 0 2 3 5. 60 AC 001 Research Skill Development AC 1 1 0 0 0 6. 60 AB 00* NCC\NSS\NSO\YRC\RRC\Yoga\Fine Arts% HS 4 2 0 2 3% PRACTICALS 7. 60 MC 7P1 Embedded System Laboratory PC 4 0 0 4 2 8. 60 MC 7P2 Robotics and Machine Vision Laboratory PC 4 0 0 4 2 9. 60 MC 7P3 Project Work - Phase I CG 4 0 0 4 2 10. 60 CG 0P6 Internship CG - - - - 1/2/3* Total 26 12 0 14 18 NCC% - Course can be waived with 3 credits in VII semester or offered as extra 3 credits. NSS/NSO/YRC/RRC/Fine Arts% 3 extra credits not accounted for CGPA SEMESTER VIII S. Course Contact Course Title Category L T P C No. Code Periods THEORY 1. 60 MC E5* Elective-V PE 3 3 0 0 3 PRACTICALS 2. 60 MC 8P1 Project Work - Phase II CG 16 0 0 16 8 3. 60 CG 0P6 Internship CG - - - - 1/2/3* Total 19 3 0 16 11 Internship*, MY* & GE* - Extra Credit is offered TOTAL NUMBER OF CREDITS TO BE EARNED FOR AWARD OF THE DEGREE = 163 Note: HS- Humanities and Social Sciences including Management Courses, BS- Basic Science Courses, ES-Engineering Science Courses, PE-Professional Core Courses, PE-Professional Elective Courses, GE- General Elective Courses, OE- Open Elective Courses, CG - Career Enhancement Course, MY- Mandatory Courses R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  K.S.RANGASAMY COLLEGE OF TECHNOLOGY, TIRUCHENGODE - 637215 (An Autonomous Institution affiliated to Anna University) B.E. / B.Tech. Degree Programme SCHEME OF EXAMINATIONS (For the candidates admitted from 2022-2023 onwards) FIRST SEMESTER Minimum Marks Weightage of Marks for Pass in End Duration Semester Exam S. Course of Name of the Course End No. Code Internal End Continuous Semester Max. Exam Semester Total Assessment* Exam Marks Exam ** THEORY 1 60 EN 001 Professional English-I 2 40 60 100 45 100 2 60 MA 001 Matrices and Calculus 2 40 60 100 45 100 3 60 PH 001 Engineering Physics 2 40 60 100 45 100 Basic Electrical and 4 60 EE 001 2 40 60 100 45 100 Electronics Engineering 5 60 ME 004 Engineering Mechanics 2 40 60 100 45 100 Environmental Studies and 6 60 MY 001 2 40 60 100 45 100 Climate Change PRACTICAL 60 ME Fabrication and Reverse 7 3 60 40 100 45 100 0P1 Engineering Laboratory Basic Electrical and 8 60 EE 0P1 Electronics Engineering 3 60 40 100 45 100 Laboratory * CA evaluation pattern will differ from course to course and for different tests. This will have to be declared in advance to students. The department will put a process in place to ensure that the actual test paper follow the declared pattern. ** End Semester Examination will be conducted for maximum marks of 100 and subsequently be reduced to 60marks for the award of terminal examination marks R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Category L T P Credit 60 EN 001 Professional English – I HS 1 0 2 2 Objectives  To help learners improve their vocabulary and to enable them to use words appropriately in different academic and professional contexts  To help learners develop strategies that could be adopted while reading texts  To help learners acquire the ability to speak effectively in English in real life and career related situations  To equip students with effective speaking and listening skills in English  To facilitate learners to enhance their writing skills with coherence and appropriate format effectively Pre-requisites  Basic knowledge of reading and writing in English Course Outcomes On the successful completion of the course, students will be able to CO1 Compare and interpret complex academic texts Understand CO2 Recall the denotative and connotative meanings of technical texts Remember CO3 Interpret definitions, descriptions, narrations, and essays on various topics Understand Express fluently and accurately in formal and informal communicative CO4 Understand contexts Summarize their opinions effectively in both oral and written medium of CO5 Understand communication Mapping with Programme Outcomes POs PSOs COs 1 2 3 4 5 6 7 8 9 10 11 12 1 2 CO1 - - - - - - - 2 3 3 2 3 - - CO2 - - - - - - - 2 3 3 2 3 - - CO3 - - - - - - - 2 3 3 2 3 - - CO4 - - - - - - - 2 3 3 2 3 - - CO5 - - - - - - - 2 3 3 2 3 - - 3 - Strong; 2 - Medium; 1 – Some Assessment Pattern Continuous Assessment Tests Model End Sem Bloom’s (Marks) Examination Examination Category 1 2 (Marks) (Marks) Remember 10 10 20 20 Understand 50 50 80 80 Apply - - - - Analyse - - - - Evaluate - - - - Create - - - - Total 60 60 100 100 R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Syllabus K.S.Rangasamy College of Technology – Autonomous R2022 Common to All Branches 60 EN 001 - Professional English I Hours/Week Total Credit Maximum Marks Semester L T P Hours C CA ES Total I 1 0 2 45 2 40 60 100 Introduction to Fundamentals of Communication Listening: General information-specific details-conversation: introduction to classmates – audio / video (formal & informal). Speaking: Self Introduction; Introducing a friend; conversation - politeness strategies. Reading: Reading brochures (technical context), telephone messages / social media messages relevant to technical contexts and emails. Writing: Writing letters – informal and formal – basics and format orientation Language Focus: Present Tenses; word formation (affixes); synonyms, antonyms and contranyms, and phrasal verbs; abbreviations & acronyms (as used in technical contexts). Narration and Summation Listening: Podcast, anecdotes / stories / event narration; documentaries and interviews with celebrities. Speaking: Narrating personal experiences / events; Interviewing a celebrity; reporting / and summarizing of documentaries / podcasts/ interviews. Reading: Biographies, travelogues, newspaper reports, excerpts from literature, and travel & technical blogs. Writing: Paragraph writing, short report on an event (field trip etc.). Language Focus: Past tenses and prepositions; One-word substitution. Description of a process / product Listening: Listen to a product and process descriptions; advertisements about products or services Speaking: Picture description; giving instruction to use the product; presenting a product. Reading: Advertisements, gadget reviews and user manuals. Writing: Definitions; instructions; and product /process description. Language Focus: Imperatives; comparative adjectives; future tenses. Homonyms; and Homophones, discourse markers (connectives & sequence words) Classification and Recommendations Listening: TED Talks; scientific lectures; and educational videos. Speaking: Small Talk; Mini presentations Reading: Newspaper articles and Journal reports Writing: Note-making / Note-taking; recommendations; Transferring information from non-verbal (chart, graph etc, to verbal mode) Language Focus: Articles; Pronouns -Possessive & Relative pronouns; ; subject-verb agreement; collocations. Expression Listening: Debates/ discussions; different viewpoints on an issue; and panel discussions. Speaking: Group discussions, debates & role plays. Reading: Editorials; and opinion blogs. Writing: Essay Writing (Descriptive or narrative). Language Focus: Punctuation; Compound Nouns; simple, compound & complex sentences. cause& effect expressions. Total Hours: 45 Text Book(s): ‘English for Engineers & Technologists’ Orient Blackswan Private Ltd. Department of English, Anna 1. University, 2020 Norman Lewis, ‘Word Power Made Easy - The Complete Handbook for Building a Superior Vocabulary 2. Book’, Penguin Random House India, 2020 Reference(s): Paul Emmerson and Nick Hamilton, ‘Five Minute Activities for Business English’, Cambridge 1. University Press, New York, 2005 Arthur Brookes and Peter Grundy,’ Beginning to Write: Writing Activities for Elementary and 2. Intermediate Learners’, Cambridge University Press, New York, 2003 Michael McCarthy and Felicity O Dell, ‘English Vocabulary in Use: Upper Intermediate’, Cambridge 3. University Press, N.York, 2012 4. Lakshmi Narayanan, ‘A Course Book on Technical English’Scitech Publications (India) Pvt. Ltd. 2020 *SDG 4 – Quality Education R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Course Contents and Lecture Schedule No. of S. No. Topics hours 1.0 Introduction to Fundamentals of Communication 1.1 Listening for general information and Specific details 1 1.2 Self-introduction 1 1.3 Narrating personal experiences 1 1.4 Reading relevant to technical contexts and emails 1 1.5 Writing letters – informal 1 1.6 Writing letters - formal 1 1.7 Present tenses 1 1.8 Synonyms, antonyms and contranyms, and affixes 1 1.9 Phrasal verbs; abbreviations & acronyms 1 2.0 Narration and Summation 2.1 Listening to podcasts, documentaries and interviews with celebrities 1 2.2 Narrating personal experiences 1 2.3 Summarizing of documentaries 1 2.4 Reading travelogues, and excerpts from literature 1 2.5 Paragraph writing 1 2.6 Short report on an event (field trip etc.). 1 2.7 Past tenses 1 2.8 Prepositions 1 2.9 One-word substitution 1 3.0 Description of a process / product 3.1 Listen to a product and process descriptions 1 3.2 Picture description 1 3.3 Giving instruction to use the product 1 3.4 Reading Advertisements, gadget reviews and user manuals 1 3.5 Writing Definitions and instructions 1 3.6 Future Tenses 1 3.7 Homonyms and Homophones 1 3.8 Imperatives 1 3.9 Comparative adjectives, and discourse markers 1 4.0 Classification and Recommendations 4.1 Listening to TED Talks and educational videos 2 4.2 Listening to scientific lectures 1 4.3 Small Talk and mini presentations 2 4.4 Reading newspaper articles and journal reports 2 4.5 Note-making / Note-taking 1 4.6 Recommendations 1 4.7 Transferring information from non-verbal 1 4.8 Articles and Pronouns 2 4.9 Subject-verb agreement and collocations 5.0 Expression 5.1 Listening to debates and panel discussions 1 5.2 Group discussions 2 5.3 Role plays 1 5.4 Reading editorials and opinion blogs 1 5.5 Essay Writing (Descriptive or narrative) 1 5.6 Punctuation and cause & effect expressions. 1 5.7 Compound Nouns 1 5.8 Simple, compound & complex sentences 1 Course Designer(s) 1. Dr.A.Palaniappan - [email protected] 60 MA 001 Matrices and Calculus Category L T P Credit R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  BS 3 1 0 4 Objectives  To familiarize the basic concepts in Cayley-Hamilton theorem and orthogonal transformation  To get exposed to the fundamentals of differentiation  To acquire skills to understand the concepts involved in Jacobians and maxima and minima  To solve various linear differential equations and method of variation of parameters  To learn various techniques and methods in solving definite and indefinite integrals Pre-requisites  Nil Course Outcomes On the successful completion of the course, students will be able to Apply the concepts of Cayley-hamilton theorem and orthogonal CO1 Apply transformation to the matrix Apply the concepts of differentiation in solving various Engineering CO2 Apply problems Obtain Jacobians and maxima and minima of functions of two CO3 Apply variables CO4 Employ various methods in solving differential equations Apply CO5 Apply different techniques to evaluate definite and indefinite integrals Apply Mapping with Programme Outcomes POs PSOs COs 1 2 3 4 5 6 7 8 9 10 11 12 1 2 CO1 3 2 - - 2 - - - - - - - - 3 CO2 3 2 - - 2 - - - - - - - - 3 CO3 3 2 - - 2 - - - - - - - - 3 CO4 3 2 - - 2 - - - - - - - - 3 CO5 3 2 - - 2 - - - - - - - - 3 3 - Strong; 2 - Medium; 1 – Some Assessment Pattern Continuous Assessment Tests Model End Sem Bloom’s (Marks) Examination Examination Category 1 2 (Marks) (Marks) Remember 10 10 10 10 Understand 10 10 20 20 Apply 40 40 70 70 Analyse - - - - Evaluate - - - - Create - - - - Total 60 60 100 100 R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Syllabus K.S.Rangasamy College of Technology – Autonomous R2022 Common to MECH, ECE, EEE, CSE, MCT, CIVIL, IT, TXT, BT, FT, AI&DS, AI&ML 60 MA 001 - Matrices and Calculus Hours/Week Total Credit Maximum Marks Semester L T P Hours C CA ES Total I 3 1 0 60 4 40 60 100 Matrices Characteristic equation - Eigen values and Eigen vectors of a real matrix - Properties of Eigen values and Eigen vectors - Cayley-Hamilton theorem - Orthogonal transformation of a symmetric matrix to diagonal form - Reduction of quadratic form to canonical form by an Orthogonal transformation - Nature of quadratic form - Applications: Stretching of an elastic membrane Hands-on: Matrix Operations - Addition, Multiplication, Transpose, Inverse and Rank Differentiation Representation of functions - Limit of a function - Continuity - Derivatives - Differentiation rules (sum, product, quotient, chain rules) - Successive Differentiation - Leibnitz’s theorem - Applications: Maxima and Minima of functions of one variable* Hands-on: Determine the solution of system of linear equations Functions of Several Variables Partial differentiation - Homogeneous functions and Euler’s theorem - Jacobians - Taylor’s series for functions of two variables - Applications: Maxima and minima of functions of two variables - Constrained maxima and minima: Lagrange’s Method of Undetermined Multipliers* Hands-on: Compute the Eigen values and Eigen vectors of a Matrix Differential Equations Linear differential equations of second and higher order with constant coefficients - R.H.S is of the form 𝑒 𝛼𝑥 , 𝑠𝑖𝑛 𝛼 𝑥, 𝑐𝑜𝑠 𝛼 𝑥, 𝑥 𝑛 , 𝑛 > 0 - Differential equations with variable coefficients: Cauchy’s and Legendre’s form of linear equations - Method of variation of parameters Hands-on: Solve the first and second order ordinary differential equations Integration Definite and Indefinite integrals - Substitution rule - Techniques of Integration: Integration by parts, Integration of rational functions by partial fraction, Integration of irrational functions - Improper integrals - Applications: Hydrostatic force and pressure, moments and centres of mass Hands-on: Compute the Maxima and Minima of a function of one variable Total Hours: 45 + 5 (Hands-on) + 10 (Tutorial) 60 Text Book(s): 1. Grewal B.S, “Higher Engineering Mathematics”, 44th Edition, Khanna Publishers, Delhi, 2017. th 2. Kreyszig Erwin, “Advanced Engineering Mathematics”, 10 Edition, John Wiley and Sons (Asia) Limited, New Delhi, 2016. Reference(s): Dass H.K, “Higher Engineering Mathematics”, 3rd (Revised) Edition, S.Chand & Company 1. Ltd, New Delhi, 2014. Veerarajan T, “Engineering Mathematics”, for Semesters I and II, 1st Edition, Tata McGraw Hill 2. Publishing Co., New Delhi, 2019. Kandasamy P, Thilagavathy K and Gunavathy K, “Engineering Mathematics - I”, S.Chand 3. & Company Ltd, New Delhi, 2017. Bali N P and Manish Goyal,” A text book of Engineering Mathematics”,10th Edition, Laxmi 4. Publications (P) Ltd, 2016. *SDG: 4 – Quality Education Course Contents and Lecture Schedule R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  No. of S. No. Topics hours 1.0 Matrices 1.1 Characteristic equation 1 1.2 Eigen values and Eigen vectors of a real matrix 1 1.3 Properties of Eigen values and Eigen vectors 1 1.4 Cayley-Hamilton theorem 1 1.5 Orthogonal transformation of a symmetric matrix to diagonal form 1 1.6 Nature of quadratic form 1 1.7 Reduction of quadratic form to canonical form by Orthogonal transformation 2 1.8 Stretching of an elastic membrane 1 1.9 Tutorial 2 1.10 Hands-on 1 2.0 Differentiation 2.1 Representation of functions 1 2.2 Limit of a function and Continuity 1 2.3 Differentiation rules (sum, product, quotient, chain rules) 2 2.4 Successive differentiation 1 2.5 Leibnitz’s theorem 2 2.6 Maxima and minima of functions of one variable 2 2.7 Tutorial 2 2.8 Hands-on 1 3.0 Functions of Several Variables 3.1 Partial differentiation 1 3.2 Homogeneous functions and Euler’s theorem 1 3.3 Jacobians 2 3.4 Taylor’s series for functions of two variables 1 3.5 Maxima and minima of functions of two variables 2 3.6 Lagrange’s Method of Undetermined Multipliers 2 3.7 Tutorial 2 3.8 Hands-on 1 4.0 Differential Equations 4.1 Linear differential equations of second and higher order with constant co- 1 efficient 4.2 R.H.S is of the form 𝑒 𝛼𝑥 , 𝑠𝑖𝑛 𝛼 𝑥, 𝑐𝑜𝑠 𝛼 𝑥, 𝑥 𝑛 , 𝑛 > 0 2 4.3 Differential equations with variable coefficients: Cauchy’s form of linear 2 equations 4.4 Differential equations with variable coefficients: Legendre’s form of linear 2 equations 4.5 Method of variation of parameters 2 4.6 Tutorial 2 4.7 Hands-on 1 5.0 Integration 5.1 Definite and Indefinite integrals 2 5.2 Substitution rule 1 5.3 Techniques of Integration: Integration by parts 1 5.4 Integration of rational functions by partial fraction 1 5.5 Integration of irrational functions 1 5.6 Improper integrals 1 5.7 Hydrostatic force. 1 5.8 Pressure, moments and centres of mass. 1 5.9 Tutorial 2 5.10 Hands-on 1 Course Designer(s) 1. Dr.C.Chandran - [email protected] 2. Mr.G.Mohan - [email protected] R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Category L T P Credit 60 PH 001 Engineering Physics BS 3 0 0 3 Objectives  To make the students to understand the basics of crystallography, crystal growth and its importance in studying materials properties.  To establish a sound grasp of knowledge on optics, laser and its applications  To understand the dielectric properties of materials including magnetic materials, applications of dielectrics and magnetic materials  To introduce advanced materials and nano technology for various modern engineering applications  To instil the knowledge on next generation energy device and its applications Pre-requisites  Nil Course Outcomes On the successful completion of the course, students will be able to Comprehend the basics of crystallography and its importance for varied CO1 materials properties Understand Assess the fundamentals of optics, laser technology and apply the CO2 concepts in industry Understand Impart the knowledge on magnetic properties of materials and their CO3 applications in sensors Understand Interpret the properties of advanced materials and nano materials for CO4 potential applications Understand Identify the next generation energy device and its applications in electric CO5 Understand vehicles Mapping with Programme Outcomes POs PSOs COs 1 2 3 4 5 6 7 8 9 10 11 12 1 2 CO1 3 2 - - - - - - - - - - - 2 CO2 3 2 - - - - - - - - - - 2 2 CO3 3 2 - - - - - - - - - - 2 2 CO4 3 2 - - - - - - - - - - 2 2 CO5 3 2 - - - - - - - - - - 2 2 3 - Strong; 2 - Medium; 1 – Some Assessment Pattern Continuous Assessment Tests Model End Sem Bloom’s (Marks) Examination Examination Category 1 2 (Marks) (Marks) Remember 10 10 30 30 Understand 30 30 50 50 Apply 20 20 20 20 Analyse - - - - Evaluate - - - - Create - - - - Total 60 60 100 100 R2/ w.e.f.29/05/2024 Passed in the BoS Meeting Held on 21/05/2024 pproved in Academic Council Meeting held on 25/05/2024  Syllabus K.S.Rangasamy College of Technology – Autonomous R2022 Common to MECH, MCT