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3 Semester - 2022 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
BS351 | ENGINEERING BIOLOGY LABORATORY | Core Courses | 2 | 2 | 50 |
EVS321 | ENVIRONMENTAL SCIENCE | Skill Enhancement Courses | 2 | 0 | 0 |
MA335 | MATHEMATICS-III | Core Courses | 3 | 3 | 100 |
MAHO331DMP | DESIGN FOR ADDITIVE MANUFACTURING | Minors and Honours | 4 | 4 | 100 |
RM332P | ANALOG AND DIGITAL ELECTRONICS | Core Courses | 3 | 4 | 100 |
RM333P | ELECTRICAL MACHINES AND DRIVES | Core Courses | 5 | 4 | 100 |
RM334 | ROBOTICS AND AUTOMATION | Core Courses | 3 | 3 | 100 |
RM335P | BASIC CONCEPTS OF MECHATRONICS AND PLC | Core Courses | 3 | 3 | 100 |
4 Semester - 2022 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
CY421 | CYBER SECURITY | - | 2 | 0 | 0 |
HS421 | PROFESSIONAL ETHICS | - | 2 | 2 | 50 |
MAHO431DMP | COMPUTER AIDED ENGINEERING | - | 4 | 4 | 100 |
MICSAI432 | DATA STRUCTURES AND ALGORITHMS | - | 5 | 4 | 100 |
RM431P | EMBEDDED SYSTEMS | - | 5 | 4 | 100 |
RM432P | SOLID AND FLUID MECHANICS | - | 5 | 4 | 100 |
RM433 | KINEMATICS AND THEORY OF MACHINES | - | 3 | 3 | 100 |
RM434P | FUNDAMENTALS OF PYTHON PROGRAMMING | - | 5 | 4 | 100 |
RM435 | MOBILE ROBOTICS | - | 3 | 3 | 100 |
5 Semester - 2021 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AU544E8 | FINITE ELEMENT ANALYSIS | Discipline Specific Elective Courses | 3 | 3 | 100 |
CEOE531 | SOLID WASTE MANAGEMENT | Interdisciplinary Elective Courses | 3 | 3 | 100 |
CEOE532 | DISASTER MANAGEMENT | Interdisciplinary Elective Courses | 3 | 3 | 100 |
CH536OE1 | ELECTRONIC MATERIALS AND ITS FABRICATION | Interdisciplinary Elective Courses | 3 | 3 | 50 |
IC521 | CONSTITUTION OF INDIA | Skill Enhancement Courses | 2 | 0 | 50 |
MA536OE6 | APPLIED STATISTICS | Interdisciplinary Elective Courses | 3 | 2 | 50 |
MICSAI533 | FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE | Minors and Honours | 4 | 4 | 100 |
NCCOE1 | NCC1 | Interdisciplinary Elective Courses | 3 | 3 | 100 |
RM531P | DATA ACQUISITION AND VISION SYSTEM IN ROBOTICS | Core Courses | 5 | 4 | 100 |
RM532P | FLUID POWER AUTOMATION | Core Courses | 5 | 4 | 100 |
RM533 | DESIGN OF MACHINE ELEMENTS | Core Courses | 3 | 3 | 100 |
RM544E1 | AUTONOMOUS VEHICLES | Discipline Specific Elective Courses | 2 | 1 | 50 |
RM551 | MODELLING AND ANALYSIS LABORATORY | Core Courses | 2 | 1 | 50 |
RM581 | MINI PROJECT | Project | 4 | 2 | 50 |
VMEC511 | FUNDAMENTALS OF CAE SIMULATIONS | - | 4 | 0 | 50 |
6 Semester - 2021 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
BTGE631 | CORPORATE SOCIAL RESPONSIBILITY | - | 2 | 2 | 100 |
BTGE632 | DIGITAL MEDIA | - | 2 | 2 | 100 |
BTGE633 | FUNCTIONAL ENGLISH | - | 2 | 2 | 100 |
BTGE634 | GERMAN | - | 2 | 2 | 100 |
BTGE635 | INTELLECTUAL PROPERTY RIGHTS | - | 2 | 2 | 100 |
BTGE636 | INTRODUCTION TO AVIATION | - | 2 | 2 | 100 |
BTGE637 | PROFESSIONAL PSYCHOLOGY | - | 2 | 2 | 100 |
BTGE651 | DATA ANALYTICS THROUGH SPSS | - | 2 | 2 | 100 |
BTGE652 | DIGITAL MARKETING | - | 2 | 2 | 100 |
BTGE653 | DIGITAL WRITING | - | 2 | 2 | 100 |
BTGE654 | PHOTOGRAPHY | - | 2 | 2 | 100 |
BTGE655 | ACTING COURSE | - | 2 | 2 | 100 |
BTGE656 | CREATIVITY AND INNOVATION | - | 2 | 2 | 100 |
BTGE657 | PAINTING AND SKETCHING | - | 2 | 2 | 100 |
BTGE658 | DESIGN THINKING | - | 2 | 2 | 100 |
RM631P | DIGITAL MANUFACTURING | - | 5 | 4 | 100 |
RM632 | ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING | - | 3 | 3 | 100 |
RM633 | FIELD AND SERVICE ROBOTS | - | 3 | 3 | 100 |
RM637 | SERVICE LEARNING | - | 2 | 2 | 50 |
RM644E3 | MOBILE APPLICATION DEVELOPMENT | - | 3 | 3 | 100 |
RM644E5 | WIRELESS SENSOR NETWORKS FOR ROBOTICS | - | 3 | 3 | 100 |
RM651 | AI AND MACHINE LEARNING LABORATORY | - | 2 | 1 | 50 |
7 Semester - 2020 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
ECOE7601 | AUTOMOTIVE ELECTRONICS | Interdisciplinary Elective Courses | 3 | 3 | 100 |
EEOE731 | BATTERY MANAGEMENT SYSTEMS FOR ELECTRICAL VEHICLES | Interdisciplinary Elective Courses | 3 | 3 | 100 |
RM733 | CONTROL SYSTEM | Core Courses | 3 | 3 | 100 |
RM741E2 | SMART SENSORS FOR IOT APPLICATIONS | Core Courses | 3 | 3 | 100 |
RM742E2 | PRODUCT DESIGN AND DEVELOPMENT | Core Courses | 3 | 3 | 100 |
RM744E3 | HYBRID-ELECTRIC VEHICLES | Discipline Specific Elective Courses | 3 | 3 | 100 |
RM751 | AUTOMATION SYSTEM DESIGN LABORATORY | Core Courses | 2 | 2 | 50 |
RM781 | PROJECT WORK PHASE - I | Core Courses | 2 | 2 | 50 |
RM782 | INTERNSHIP | Core Courses | 4 | 2 | 50 |
8 Semester - 2020 - Batch | Course Code |
Course |
Type |
Hours Per Week |
Credits |
Marks |
AU881 | PROJECT WORK PHASE II | - | 16 | 10 | 300 |
RM841E5 | PROCESS PLANNING AND COST ESTIMATION | - | 3 | 3 | 100 |
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This programme integrates Robotics and Mechatronics. Robotics emphasise on synergistic integration of mechanical structures, mechanisms, electrical and electronic components, electromechanical sensors and actuators, microcontrollers, and programming, whereas Mechatronics, covers synergistic integration of mechanical engineering, control theory, computer science, and electronics to manage complexity, uncertainty, and communication in engineered systems. Programme is offered in multi-disciplinary nature, which combines mechanical, electronics and computing engineering and will add versatility to the graduates' capabilities. Graduates will be able to adapt flexibly to a wide range of industries, and make contributions in developing new technologies and pioneering new approaches in production. Graduates will also be able to upgrade their knowledge and skills by pursuing their studies in local or overseas universities. The programme prepares graduates to learn how to build robots and gadgets as required in specialized areas such as automation and robotics, wafer fabrication, aerospace or biomedical engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Programme Outcome/Programme Learning Goals/Programme Learning Outcome: PO1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.Programme Specific Outcome: PO2: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.Programme Educational Objective: PO3: 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: 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: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. PO6: 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: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. PO8: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. PO10: 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: 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: 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Examination And Assesments | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BS351 - ENGINEERING BIOLOGY LABORATORY (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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Understanding and application of MATLAB and TINKERCAD for biological analysis which would results in better healthcare and any engineer, irrespective of the parent discipline (mechanical, electrical, civil, computer, electronics, etc.,) can use the disciplinary skills toward designing/improving biological systems. This course is designed to convey the essentials of human physiology.
The course will introduce to the students the various fundamental concepts in MATLAB and TINKERCAD for numerical analysis and circuit design using arduino.
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Course Outcome |
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CO1Perform basic mathematical operation and analysis on biological parameters as BMI, ECG using MATLAB.L4 CO2Perform basic image processing on RGB images pertaining to medical data using MATLABL4 CO3Perform analysis on biological parameters using TinkerCad and design mini projects applicable for healthcare and biosensing.L4 |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
EVS321 - ENVIRONMENTAL SCIENCE (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:0 |
Credits:0 |
Course Objectives/Course Description |
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To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale. |
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Course Outcome |
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CO1: Explain the components and concept of various ecosystems in the environment (L2, PO7) CO2: Explain the necessity of natural resources management (L2, PO1, PO2 and PO7) CO3: Relate the causes and impacts of environmental pollution (L4, PO1, PO2, and PO3, PO4) CO4: Relate climate change/global atmospheric changes and adaptation (L4,PO7) CO5: Appraise the role of technology and institutional mechanisms for environmental protection (L5, PO8) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MA335 - MATHEMATICS-III (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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To enable the students to find the Fourier series and harmonic analysis of a periodic function, solve the boundary value problems using Fourier series, ordinary differential equations by series solution method and describe functionals and solve variational problems. |
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Course Outcome |
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CO1: Representation linear transformation as a matrix. (L2) CO2: Apply vector operators to transform the Cartesian coordinate system into spherical and
cylindrical forms. (L3) CO3: Estimate results by forward and backward interpolation. (L4) CO4: Deduce the periodic functions as Fourier series expansion. (L4) CO5: Predict the nature of partial differential equations and solve it by the method of variable
separable. (L3) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MAHO331DMP - DESIGN FOR ADDITIVE MANUFACTURING (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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Additive Manufacturing (AM) is an economically viable alternative to conventional manufacturing technologies for producing highly complex parts. The main objective of this course is to acquaint students with the concept of AM, various AM technologies, selection of materials for AM, modeling of AM processes, and their applications in various fields. The course will also cover AM process plan including building strategies and post-processing. |
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Course Outcome |
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CO1: Demonstrate the knowledge of Additive Manufacturing and Rapid Prototyping technologies. {L2} CO2: Describe different RP techniques used by manufacturing industries. {L2} CO3: Discuss the fundamentals of various mechanisms used in modern machine tools to accommodate additive manufacturing. {L2} CO4: Analyze various reverse engineering techniques in preparing STL models and 3D- CAD models to incorporate in rapid prototyping techniques. { L3} CO5: Examine various techniques in additive manufacturing techniques for preparing a better product. {L2} |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM332P - ANALOG AND DIGITAL ELECTRONICS (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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This course will enable students to: ● Recall and Recognize construction and characteristics of JFETs and MOSFETs and differentiate with BJT ● Demonstrate and Analyze Operational Amplifier circuits and their applications ● Describe and Design Decoders, Encoders, Digital multiplexers, Adders and Subtractors, Binary comparators, Latches and Master-Slave Flip-Flops. ● Describe, Design and Analyze Synchronous and Asynchronous Sequential circuits.. ● Explain and design registers and Counters, A/D and D/A converters. |
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Course Outcome |
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CO1: Explain the transistor fundamentals including their characteristics. (L2) CO2: Understand the elements inside an opamp and design basic applications of opamp. (L4) CO3: Explain the concepts of analog to digital conversion and vice-versa. (L2) CO4: Understand the fundamental concepts and techniques used in digital processing circuits. (L2) CO5: Implement sequential logic circuits involving registers and counters. (L2) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM333P - ELECTRICAL MACHINES AND DRIVES (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to ● To impart knowledge on the performance characteristics, speed control and starting methods of DC and AC motors. ● To impart knowledge on the basic of selection of drive for a given application. ● To impart knowledge on the concept of controlling the speed of DC and AC motor using Solid state converters. ● To prepare the students to understand, demonstrate and analyze the concepts of DC and AC Motors. ● To prepare the students to understand, demonstrate and analyze the concepts of DC Drive.
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Course Outcome |
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CO1: Explain the various method of speed control of DC and AC motors (L1) CO2: Describe the factors for selection of drive, various load pattern and determine their power rating. (L2) CO3: Discuss the working of various power semiconductor devices. (L2) CO4: Demonstrate the working of various power converters and inverters (L2) CO5: Apply and Analyze the control of DC and AC motors with solid state power converters and inverters. (L2) CO6: Conduct the suitable method for speed control of DC and AC motors. (L2) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM334 - ROBOTICS AND AUTOMATION (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to 1. To introduce the fundamentals of robotics and automation 2. To provide knowledge about the components of robotics 3. To deal with the applications of robotics and automation |
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Course Outcome |
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CO1: Recall the evolution of robots and their classification (L1) CO2: Analyse the applications of sensors and actuators in robotics. (L4) CO3: Describe the kinematics and dynamic behaviour of robots and its programming. (L2) CO4: Appraise the emerging technologies in the field of robotics (L2) CO5: Compare different concepts of automation (L2) CO6: Apply knowledge of automation in various fields (L3) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM335P - BASIC CONCEPTS OF MECHATRONICS AND PLC (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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This course aims at providing fundamental understanding about the basic elements of a mechatronics system, interfacing, and its practical applications. |
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Course Outcome |
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CO-1: Interpret the parameters of Transducers. (L2) CO-2: Operate & infer the values of Torque measurement equipment. (L1) CO-3: Interpret the readings of Cathode ray oscilloscope. (L2) CO-4: Compute the strain from the strain gauge equipment. (L1) CO-5: Explain the concept of PLC and HMI (L3) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CY421 - CYBER SECURITY (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:0 |
Credits:0 |
Course Objectives/Course Description |
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This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security. In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments |
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Course Outcome |
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CO1: Describe the basic security fundamentals and cyber laws and legalities. CO2: Describe various cyber security vulnerabilities and threats such as virus, worms, online attacks, Dos and others. CO3: Explain the regulations and acts to prevent cyber-attacks such as Risk assessment and security policy management. CO4: Explain various vulnerability assessment and penetration testing tools. CO5: Explain various protection methods to safeguard from cyber-attacks using technologies like cryptography and Intrusion prevention systems. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
HS421 - PROFESSIONAL ETHICS (2022 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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This paper deals with the various organizational behaviours like learning, perception, motivation and method of managing stress and conflicts and the basic principles of communication. |
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Course Outcome |
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CO1: Understand the importance of Values and Ethics in their personal lives and professional careers. (L2) CO2: Learn the rights and responsibilities as an employee, team member and a global citizen. (L2) CO3: Estimate the impact of self and organization?s actions on the stakeholders and society. (L3) CO4: Develop ethical behaviour under all situations. (L3) CO5: Appreciate the significance of Intellectual Property as a very important driver of growth and development in today?s world and be able to statutorily acquire and use different types of intellectual property in their professional life. (L2) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MAHO431DMP - COMPUTER AIDED ENGINEERING (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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Course objectives: •To introduce the Industry experience to student in product design and developments. •To know the stages involved in any product design and development. •To develop the student’s skills to solve the problems facing while geometry modelling and FE modelling. •To guide the students in selection of geometry for its validation for required application. •To enhance the problem analysis knowledge in modelling and analysis. •To improve the knowledge in identify the problem and selection of analysis method and hence to validate the output of CAE tools.
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Course Outcome |
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CO1: Understand the possibilities of CAD modelling and analysis. CO2: Apply geometrical modelling to create solid models and its boundary conditions CO3: Apply the knowledge of static and dynamic analysis on solid models. CO4: Apply the knowledge of loading and boundary conditions on part models. CO5: Validate the results of FEA and apply error correction on solid models created. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MICSAI432 - DATA STRUCTURES AND ALGORITHMS (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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To understand the basic concept of data structures for storage and retrieval of ordered or unordered data. Data structures include: arrays, linked lists, binary trees, heaps, and hash tables. |
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Course Outcome |
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CO1: Explain the basic concepts of data structures and solve the time complexity of the
algorithm CO2: Experiment with various operations on Linear Data structures CO3: Examine the Structures and Operations of Trees and Heaps Data Structures CO4: Compare various given sorting techniques with respect to time complexity CO5: Choose various shortest path algorithms to determine the minimum spanning path
for the given graphs |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM431P - EMBEDDED SYSTEMS (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to 1. To provide the overview of embedded system design principles 2. To understand the concepts of real time operating systems 3. To provide exposure to embedded system development tools with hands-on experience in using basic programming techniques. |
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Course Outcome |
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CO1: Explain the architecture, Instruction set and addressing modes of PIC and Motorola(68HC12) microcontroller (L2) CO2: Summaries the concepts of embedded C programming (L3) CO3: Explain the need of embedded systems and their development procedures. (L2) CO4: Summaries the uses of embeded system in Automotive electronics.(L2) CO5: Summaries the concepts involved in Real time operating systems. L2) CO6: Conduct experiments with I/O systems used in embedded systems. (L4) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM432P - SOLID AND FLUID MECHANICS (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course the students should be able to appreciate the basic principles and understand the function of various type of pumps and machineries and flow of liquid through pipes. Basics of Engineering elements like springs and beams must have bean made clear so that they will be able to design them. |
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Course Outcome |
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM433 - KINEMATICS AND THEORY OF MACHINES (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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1. To understand the kinematics and rigid-body dynamics of kinematically driven machine components. 2. To understand the motion of linked mechanisms in terms of the displacement, velocity and acceleration at any point in a rigid link. 3. To be able to design some linkage mechanisms and cam systems to generate specified output motion. 4. To understand the kinematics of gear trains.
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Course Outcome |
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CO-1: Summarize the fundamentals of kinematics and Planar mechanisms. CO-2: Analyse velocity and acceleration parameters in various four-bar mechanisms using the instantaneous centre method and relative velocity method. CO-3: Develop the displacement diagram for a required output and design cam profiles for inline and offset followers. CO-4: Explain the fundamentals of gear profiles and extrapolate various parameters of Spur gear teeth. CO-5: Design gear trains for power transmission. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM434P - FUNDAMENTALS OF PYTHON PROGRAMMING (2022 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to
idioms.
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Course Outcome |
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CO-1: To discuss the structure and components of a Python program. (L2) CO-2: To explain loops and decision statements in Python. (L2) CO-3: To illustrate class inheritance in Python for reusability (L2) CO-4: To select lists, tuples, and dictionaries in Python programs. (L3) CO-5: To assess object‐oriented programs with Python classes. (L3) CO-6: To develop simple code for robotics applications. (L4)
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Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM435 - MOBILE ROBOTICS (2022 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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Mobile robots are now enabling human beings to physically reach and explore unchartered territories in the Universe. Be a place as distant as Mars, in abysmal depths of ocean, or shrouded by thick glaciers of Antarctic, mobile robots help exploring everything; yet this is just the beginning. Even in day to day life autonomous cars hold a potential to revolutionize transportation and domestic mobile robots help humans in cleaning, elderly help, etc. National defence is an area replete with the use of mobile robots. This course will present various aspects of design, fabrication, motion planning, and control of intelligent mobile robotic systems. The focus of the course is distributed equally on the computational aspects and practical implementation issues and thereby leads to a well-rounded training. The course will give students an opportunity to design and fabricate a mobile robotic platform and program it to apply learned theoretical concepts in practice as a semester long class project. |
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Course Outcome |
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CO-1: To understand the concept of robot locomotion. (L2) CO-2: To analyze the mobile robot kinematics and dynamics. (L4) CO-3: To understand concept of perception in mobile robotics. (L2) CO-4: To analyze, design and implement the localization concept in mobile robotics. (L4) CO-5: To apply the fundamental knowledge of planning and navigation in mobile robotics applications. (L3) |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
AU544E8 - FINITE ELEMENT ANALYSIS (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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Finite element method {FEM} is a numerical technique for finding approximate solutions to boundary value problems for partial differential equations.Itusessubdivisionofawholeproblemdomainintosimplerparts,called finiteelements,andvariationalmethodsfromthecalculusofvariationstosolvethe problem by minimizing an associated error function. Analogous to the idea that connecting many tiny straight lines can approximate a larger circle, FEM encompasses methods for connecting many simple element equations over many smallsubdomains,namedfiniteelements,toapproximateamorecomplexequation
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Course Outcome |
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CO1: Comprehend the concept of FEM in Engineering Applications {L1} CO2: Determine the deflection/deformation of beam & bar by using RR method & Galeriken method CO3: Determine the stress developed in bar by using elimination and penalty method CO4: Determine the deformation &stresses in trusses by using elimination method CO5: Determining the temperature distribution of a thin film by using conduction
& convection principle
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CEOE531 - SOLID WASTE MANAGEMENT (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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Objective of this paper is to provide managing solid wastes. It is designed as a source of information on solid waste management, including the Principles of Solid waste management, Processing and Treatment, Final disposal, Recycle and Reuse. |
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Course Outcome |
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CO1: Identify characteristics and Functional elements of solid waste management (L2, L3) CO2: Develop different methods of solid waste collection and transportation systems. (L2, L3) CO3: Explain different solid waste treatment and processing techniques. (L2) CO4: Explain sanitary landfill and different composting techniques. (L2) CO5: Understand the different disposal methods, significance of recycling, reuse and reclamation of solid wastes. (L2) |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CEOE532 - DISASTER MANAGEMENT (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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Course would help to understand the scope and relevance of Multi Disciplinary approach in Disaster Management in a dynamic world and to realize the responsibilities of individuals and institutions for effective disaster response and disaster risk reduction |
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Course Outcome |
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CO-1: Explain Hazards and Disasters (L2, PO 4) CO-2: Assess managerial aspects of Disaster Management, plan and explain risk analysis (L3, PO5) CO-3: Relate Disasters and Development (L4, PO7) CO-4: Compare climate change impacts and develop scenarios (L5, PO6) CO-5: Categorize policies and institutional mechanisms in Disaster Management and the impacts on society (L5, PO7) |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
CH536OE1 - ELECTRONIC MATERIALS AND ITS FABRICATION (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:50 |
Credits:3 |
Course Objectives/Course Description |
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1) Discuss the students on advanced concepts of Electrical Conduction, Modern Theory of Solids, and fundamental properties of Semiconductors. i) Students will learn (a) the principle, construction, and operation of basic Semiconductor Devices such as Light Emitting Diodes (LEDs), Solar Cells, and transistors. ii) It describes the opportunities to learn (a) advanced concepts governing electronic materials properties of inorganic conductors, semiconductors and insulators and (b) how these electronic materials can be combined in wide range of device applications from transistors to energy conversion. iii) To illustrate the current state-of-the-art by reference to journal articles and to examples of actual devices and production processes in use today. |
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Course Outcome |
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CO1: Explain the fundamentals of quantum mechanics to learn the construction and working of electronic devices. CO2: Outline the relevant points pertaining to electrical and thermal conduction in solids CO3: Outline the fundamentals and advanced concepts of semiconductors and other related terms which are indispensable to fabricate electronic devices. CO4: Explain the materials aspects and fabrication procedures of semiconducting materials CO5: Analyze the semiconductor characteristics and materials aspects to design and develop electronic devices |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
IC521 - CONSTITUTION OF INDIA (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:0 |
Course Objectives/Course Description |
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This course is aimed to create awareness on the rights and responsibilities as a citizen of India and to understand the administrative structure, legal system in India. |
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Course Outcome |
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CO1: Explain the fundamental rights granted to citizens of India as per the Constitution CO2: Describe the Directive Principles of State Policy along with its key aspects CO3: Explain the legislative powers of Union Government and its elected legislature CO4: Understand the Indian judiciary with respect to civil and criminal aspects CO5: Explain the working of state government and its electoral powers
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MA536OE6 - APPLIED STATISTICS (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:3 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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To enable the students to describe the fundamentals of statistics, estimate best fit curve, correlation and regression through data analysis, develop a deep understanding of axioms, random variables and probability functions, test the hypothesis for small and large samples by various statistical tools. |
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Course Outcome |
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CO1: Determine the mean, median, mode and expectation by using the fundamentals of statistics {L3} CO2: Estimate the best fit curve, correlation and regression through data analysis {L2} CO3: Determine the probability density function of discrete and continuous random variables by applying the key concepts of probability. {L3} CO4: Calculate the mean, variance and probability density function of different theoretical distributions {L3} CO5: Test the hypothesis of small and large samples using various statistical tools {L5} |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
MICSAI533 - FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE (2021 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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This course provides a strong foundation of fundamental concepts in Artificial Intelligence. To provide a basic exposition to the goals and methods and to enable the student to apply these techniques in applications which involve perception, reasoning and learning |
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Course Outcome |
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CO 1: Identify the fundamental knowledge of Intelligent agents, searching strategies and syntax and semantics of first order logic CO 2: Discover the complex problem solving agents, constraint satisfaction problems and optimal decisions in game CO 3: Inspect the knowledge engineering in first order logic, knowledge representation and chaining mechanisms, knowledge in learning and different forms of learning CO 4: Determine and build planning strategies, Communication and analysis of grammar and its interpretation CO 5: Asses a system that utilize artificial intelligence to a complicated task with limited resources in the form of time and computations |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
NCCOE1 - NCC1 (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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· This Course is offered for cadets of NCC who have successfully completed their B- Certificate. · This Course is offered for the NCC cadets in the Open Elective course offered by the department during the 5th Semester. · This course can be selected if and only if the cadet Successfully Completes the ‘B’- Certificate exam that is conducted centrally oraganized by the NCC Directorate. |
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Course Outcome |
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CO1: . |
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Evaluation Pattern | |
RM531P - DATA ACQUISITION AND VISION SYSTEM IN ROBOTICS (2021 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course, the students would be able ● To deal with basics concepts for selection of sensors and the signal conditioning necessary to include these in a data acquisition system. ● To investigate the analogue to digital and digital to analogue conversion principles and their practical applications for data acquisition and control. ● To learn about the selection of output drivers and devices ● To learn about the machine vision systems and its application. |
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Course Outcome |
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CO1: Represent the equivalent circuit of sensors and describe their significant properties (L2). CO2: Choose the type of signal conditioning circuits to be used for a specific sensor.(L3). CO3: Discuss the data conversion circuits and the constraints involved in their design.(L3CO4:Examine the requirements for interfacing circuit design.(L3). CO5: Develop simple working model of a complete data acquisition system.(L2). CO6. Explain the basics of machine vision and their operation.(L2) |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM532P - FLUID POWER AUTOMATION (2021 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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At the end of the course, the students would be able 1. To familiarize with the basic concepts of industrial automation. 2. To acquaint with the concept of low cost automation with pneumatic and hydraulic systems. 3. To familiarize with the elements of electrical control systems. 4. To acquaint with the concepts related to fluid power. |
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Course Outcome |
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CO1. Apply automation techniques in small manufacturing set-ups. (L3) CO2. Illustrate the working principles of fluid power accessories like pumps, motors. (L2) CO3. Analyse pneumatic and hydraulic circuits of medium complexity. (L4) CO4. Illustrate the working of control and regulation elements used in pneumatic and hydraulic circuits. (L2) CO5. Demonstrate the use of electrical and electronics control in pneumatic and hydraulic circuits. (L2) |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM533 - DESIGN OF MACHINE ELEMENTS (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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● The student shall gain appreciation and understanding of the design function in mechanical engineering, the steps involved in designing and the relation of design activity with manufacturing activity. ● The student shall be able to choose proper materials to different machine elements depending on their physical and mechanical properties. Thus he shall be able to apply the knowledge of material science in real life usage. ● Student shall gain a thorough understanding of the different types of failure modes and criteria. He will be conversant with various failure theories and be able to judge which criterion is to be applied in which situation.
● Student shall gain design knowledge of the different types of elements used in the machine design process. E.g., fasteners, shafts, couplings etc. and will be able to design these elements for each application. |
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Course Outcome |
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CO1: Discuss the function of machine elements in mechanical engineering, the steps involved in designing and the relation of design activity with manufacturing activity. (L2) CO2: Analyze the different types of failure modes and will be conversant with various failure theories and be able to judge which criterion is to be applied in which situation. (L2). CO3: Apply the knowledge of the curved beams and cylinders in determining the stresses developed for its real time usage. (L3). CO4: Select the type of spring required for the application and will be able to calculate dimensions of spring. (L3). CO5: Design the different types of elements used in the machine design process. Eg. Riveted joint, Welded Joints etc. and will be able to design these elements for each application. (L3). |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM544E1 - AUTONOMOUS VEHICLES (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:1 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to ● Simulation is used intensively in a field of design and development. ● Students will understand how to prepare the basic model and how to perform simulation on it by taking various assumption. ● Students can apply the knowledge they have obtained while studying FEM and Mechanical Vibration. |
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Course Outcome |
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CO1: Exposed to use FEA softwares for modelling of machine components. (L2) CO 2: Applying the boundary conditions on the given system. (L2) CO3: Solving Engineering Mechanics Problems by using Commercial FEM Tools. (L5) |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM551 - MODELLING AND ANALYSIS LABORATORY (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:1 |
Course Objectives/Course Description |
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At the end of the course, the students would be able to ● Simulation is used intensively in a field of design and development. ● Students will understand how to prepare the basic model and how to perform simulation on it by taking various assumption. ● Students can apply the knowledge they have obtained while studying FEM and Mechanical Vibration. |
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Course Outcome |
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CO1: Exposed to use FEA softwares for modelling of machine components. (L2) CO2: Applying the boundary conditions on the given system. (L2) CO3: Solving Engineering Mechanics Problems by using Commercial FEM Tools. (L5)
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
RM581 - MINI PROJECT (2021 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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The mini project work extends for a single semester and exposes the student to develop and present his/her work related to specific topic. Student shall select the project topic in consultation with mentor/guide/supervisor to his/her area of specialization and work on it. Student will prepare a report outlining objective of the project work, importance of the study, review of literature published in the relevant field and possible areas for further work. The student shall present seminar on this report. |
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Course Outcome |
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CO1: Students will be able to apply the skill of presentation and communication techniques CO2: Students will be able to use their knowledge of the fundamentals of subjects to search the related literature CO3: Student will be able to analyze the available resources and to select most appropriate one CO4: Students will be able to apply a multidisciplinary strategy to address current, real world issues. |
Text Books And Reference Books: | ||
Essential Reading / Recommended Reading | ||
Evaluation Pattern | ||
VMEC511 - FUNDAMENTALS OF CAE SIMULATIONS (2021 Batch) | ||
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:4 |
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Max Marks:50 |
Credits:0 |
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Course Objectives/Course Description |
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Course Outcome |
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CO1: To Understand the concepts of Virtual Design and Testing. CO2: To demonstrate the Concept of Finite Element Modelling and Analysis. CO3: To be able to formulate the virtual model and analysis settings. CO4: To understand the concept of FE modeling and analysis. CO5: To be able to solve Problems of different domains like, structural, Thermal, Vibration, etc., |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE631 - CORPORATE SOCIAL RESPONSIBILITY (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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This course will familiarize the students with the concept of corporate social responsibility. The evolution of CSR has far reaching consequences on the development sector in India. The collaboration of companies and NGOs with the community has initiated a new paradigm of change in the country. The students will have an overview of the theories and the frameworks developed in the area of CSR. The paper will discuss a few prominent case studies of CSR. Course Objectives
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Course Outcome |
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CO1: The students will be able to demonstrate their understanding in general on CSR. CO2: To exhibit their skill in executing the responsibilities and implementing different approaches in CSR. CO3: The students will be able to critically evaluate the CSR programs of a corporate |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE632 - DIGITAL MEDIA (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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This course provides students the insight on search engine optimization, social media and digital marketing techniques that helps them understand how each of the social media platforms works and how to strategize for any type of objectives from clients. Students will discover the potential of digital media space and will have hands on experience with different digital platforms. |
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Course Outcome |
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CO1: Understand search engine optimization (SEO) techniques and principles. CO2: Gain expertise in managing and marketing on various social media platforms. CO3: Apply digital marketing techniques to achieve specific business objectives.
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE633 - FUNCTIONAL ENGLISH (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Students will be able to develop a clear understanding of the principles and characteristics of communication in professional settings. They would have developed skills for grammatical accuracy, precise vocabulary, clear style and appropriate tone for formal, professional communication |
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Course Outcome |
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1: Upon completing the syllabus students will be able to show a good grasp of the fundamentals of English language.
Students will be able to deliver the topic orally and in writing with greater independence and greater linguistic correctness
2: Will be able to distinguish and discuss differences in English language structure between speech and writing as well as distinguish and discuss stylistic differences (formal and informal English) 3: Will be able to actively and independently participate in group discussions, can make successful attempt to persuade in decision making, and can withstand the pressures in interview. 4: Will be equipped to network in academic and work settings. Would be able to confidently appear in front of a larger crowd and give presentations 5: Will acquire skills in CV writing, cover letter writing and content generation |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE634 - GERMAN (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Description: Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs. Can introduce him/herself and others as well as ask others about themselves Objectives Impart the language and through that insight into the country and the culture. Sensitize the students to the environment of a foreign country. To enable the students adapt to a new environment and culture. |
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Course Outcome |
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CO1: Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs. CO2: Can introduce oneself and others as well as ask others about themselves ? e.g. where they live, whom they know and what they own ? and can respond to questions of this nature. C03: Can handle everyday situations like shopping, eating out, visiting places, travelling, holidaying, requesting for information, making an appointment, cancelling an appointment, filling up a form etc. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE635 - INTELLECTUAL PROPERTY RIGHTS (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Innovation is crucial to us and plays significant role in the growth of economy. Government policies and legal framework offer protection to new inventions and creative works. This course intends to equip students to understand the policies and procedures they may have to rely on for the purposed of protecting their inventions or creative works during the course of their study or employment. The course consists of five units. Theories behind the protection of intellectual property and its role in promoting innovations for the progress of the society are the focus of first unit. Second unit deals with protection of inventions through patent regime in India touching upon the process of obtaining international patents. The central feature of getting patent is to establish new invention through evidence. This is done through maintaining experimental/lab records and other necessary documents. The process of creating and maintain documentary evidence is dealt in Unit 3. Computers have become an integral part of human life. Till 1980, computer related inventions were not given much importance and lying low but today they have assumed huge significance in our economy. Computer related inventions and their protection which requires special treatment under legal regimes are discussed in Unit 4. The last module deals with innovations in e- commerce environment.
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Course Outcome |
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CO1: Understand the meaning and importance of
intellectual property rights as well as different
categories of intellectual property. CO2: Understand the meaning of patentable invention,
the procedure for filing patent applications, rights of
the patentee and the different rights of patentee. CO3: Maintain research records in the patent process, the
process of patent document searching and how to
interact with patent agent or attorney. CO4: Understand the issues related to patenting of
software, digital rights management and database
management system. CO5: Understand the intellectual property issues in e-
commerce, evidentiary value of electronic signature
certificates, protection of websites and the protection
of semiconductor integrated circuits. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE636 - INTRODUCTION TO AVIATION (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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A student successfully completing this course will be able to: Explain basic terms and concepts in air transportation, including commercial, military, and general aviation; air traffic control. Identify on the parts of an aircraft, classify the aircraft types and Construct models of an Aircraft. Understand the types of Aero engines and analyse the impact of meteorology in Aviation. |
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Course Outcome |
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CO1: Interpret the fundamental principles of flight based on theorems and parts of the Aircraft CO2: Summarize the types of aircrafts and illustrate modelling of an Aircraft CO3: Identify the types of Aero engines and Make use of Meteorology |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE637 - PROFESSIONAL PSYCHOLOGY (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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1. To understand various developmental changes that take place in human life and how people's thoughts, feelings, and behaviors are influenced by the social context consisting of actual, imagined, or implied presence of others. 2. To develop interpersonal awareness and skills, especially in the context of diversity and difference 3. To develop the psychosocial skills required in the professional world
4. To introduce the students to the existing theory and research in the past and contemporary social settings comprising viz, the intra-individual, inter-individual, and social factors that influence individual and group behavior. |
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Course Outcome |
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CO1: Understand the frameworks for the psychology of human development. CO2: Show greater awareness of their thinking styles, relational styles and behavioral styles of
functioning
CO3: Develop interpersonal awareness and skills, especially in the context of diversity and
difference
CO4: Develop preparatory skills toward effective work-life balance CO5: Develop an overall understanding of the psychosocial skills required in professional world |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE651 - DATA ANALYTICS THROUGH SPSS (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Course Description Course objectives After the completion of the course, you should be able to:
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Course Outcome |
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CO1: Students will understand the concepts involved for analyzing Business data CO2: Students will be able to understand how to use software like SPSS to analyse data CO3: Students will be able to appreciate the use of Data Analytics for business decision making |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE652 - DIGITAL MARKETING (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Course Description:
Developing a successful digital marketing strategy and implementation is both an art and science. It involves in-depth knowledge of dynamics of new media (Social Media, Mobile) and utilizing the right resources and marketing skills to design and launch successful customer engagement campaigns. Digital Marketing course has been designed to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives
Course Objectives:
· To apply the basics of digital marketing in the contemporary business scenario
· To utilize google ads for promotional activities
· To contrast various social media marketing platforms and activities
· To analyse the search engine optimization and search engine marketing strategies To explain analytics pertaining to digital marketing initiatives
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Course Outcome |
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CO1: Plan a digital marketing campaign as per client requirements CO2: Apply google ads in digital campaigns CO3: Analyse the appropriateness of social media marketing strategies with respect to campaign objectives CO4: Examine the search engine optimization efforts CO5: Appraise the digital marketing analytics related to the project |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE653 - DIGITAL WRITING (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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The course will develop the knowledge and skills required to write content for digital media. Students will learn how to craft writing for different areas of the media by focusing on genres such as profiles, informative pieces, articles and content pieces. Students will work on pitching and marketing ideas, discuss topics such as timelines, word counts and deadlines. The course will also examine the principles of reporting and the legal and ethical issues associated with content writing
The course intends to provide students with an in-depth understanding of the nature of digital content. The course will acquaint students with the techniques of writing simple but polished digital content. The subject will develop creativity in writing and imaginative approaches to digital content writing. The paper will help students understand the mechanics of content writing |
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Course Outcome |
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CO1: Students will learn how to write digital content for websites, blogs, and general social networking sites CO2: Students will learn the importance of using hyperlinks to information sources when writing an article CO3: Students will be able to differentiate between original and plagiarized content and develop mechanisms to avoid plagiarism |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE654 - PHOTOGRAPHY (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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The course introduces the art of photographic image making and printing. You will learn to see and appreciate light in a new way, learn to see and design shapes in the frame, and you will learn how to make fine prints. In this course, you will learn how to properly expose the camera, how to develop good images, and to make beautiful exhibition prints. This is not merely a technical course however the most important thing you can bring away from this course is a new sense of seeing. To be able to have a finer appreciation of light in its myriad manifestations, to discover meaning in images rather than words, or most importantly, how to make images, important and powerful in their own right, rather than merely “take pictures” is the main goal of this course. |
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Course Outcome |
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CO1: Ability to demonstrate understanding and clarity in content.
Ability to read and interpretate photographs
Ability to demonstrate knowledge of visual design and art. CO2: Ability to demonstrate technical documentation of knowledge attained, process involved.
Ability to read and interpretate photographs
Ability to demonstrate knowledge of visual design and art. CO3: Ability to demonstrate Quality and Comprehensiveness.
Ability to read and interpretate photographs
Ability to demonstrate understanding of material, structure and details and graphical understanding. |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE655 - ACTING COURSE (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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In this course the students are introduced different aspects of acting such as creating a character, analyzing a script, working on voice and developing body language. At the end of the course the learners will perform a monologue. The course aims at the study and practice of Classical Acting. The development of individual imagination, insight, skills and disciplines in the presentation of drama to audience. |
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Course Outcome |
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• To gain an understanding of acting principles and techniques • Develop skills in the analysis and interpretation of dramatic texts for performance • Explore basic voice and movement skills to create dramatic effect on stage • Understand the basic production processes • To perform a monologue |
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Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE656 - CREATIVITY AND INNOVATION (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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To equip students with skill and aptitude for creativity and innovation through
To stimulate curiosity in students to identify the areas of gaps and opportunities and solutions that can be provided
To stimulate creativity in students to come up with ideas for the areas of gaps and opportunities
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Course Outcome |
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CO-1: Develop an aptitude for creative thinking and problem solving in the areas that drive their interest. CO-2: Understand the benefits of team work and collaborative thinking CO-3: Understand the three keys aspects of the creative process viz. ACES CO-4: Develop projects to understand the various principles and elements of creativity and innovation CO-5: Apply the concepts of IPR to verify the projects which may be patentable, design and copyright protected |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE657 - PAINTING AND SKETCHING (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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The course will develop the skills required to represent elements of nature and surrounding objects. Students will learn how to use the appropriate medium for representing their thought process. The course will examine the representation skills through exercises on sketching and rendering. |
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Course Outcome |
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CO3: Students will learn how to represent their ideas and thought processes diagrammatically through sketching and rendering. |
Text Books And Reference Books: | |
Essential Reading / Recommended Reading | |
Evaluation Pattern | |
BTGE658 - DESIGN THINKING (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:100 |
Credits:2 |
Course Objectives/Course Description |
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Course Description: Throughout the course students will work on three different challenges; one focused on product design, one focused on service design and one focused on systems or business design. By starting with a very tangible challenge around product design, students will be able to hone their skills in the process before moving into more complex challenges around business and systems level design.
The course will be teamwork-oriented, but students will also complete readings and independent activities that support the group work and ensure individual depth of knowledge.
Course objectives: l Expose students to the design process as a tool for innovation. l Develop students’ professional skills in client management and communication. l Demonstrate the value of developing a local network and assist students in making lasting connections with the business community. l Students develop a portfolio of work to set them apart in the job market. l Provide an authentic opportunity for students to develop teamwork and leadership skills. |
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Course Outcome |
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CO1: Design Process
1. Students develop a strong understanding of the Design Process and how it can be applied in a variety of business settings
2. Students learn to research and understand the unique needs of a company around specific challenges
3. Students learn to build empathy for target audiences from different ?cultures?
4. Students learn to develop and test innovative ideas through a rapid iteration cycle
5. Students learn how to create physical prototypes / a visual representation of an idea
6. Students develop the willingness to take a risk and the ability to deal with failure CO2: Professionalism
1. Students develop professional interpersonal and presentation skills
2. Students develop professional communication skills such as interviewing and crafting professional emails
3. Students learn to take ownership of the quality of their work and final products
4. Students understand their duty to maintain ethical standards in product and strategy design
5. Students understand the value of and have tools to develop a strong network CO3: Leadership and teamwork
1. Students develop self awareness of personal leadership style and how to effectively work as a member of a team
2. Students collaborate on a variety of projects
3. Students develop communication skills necessary to facilitate high performance team formation and maintenance (e.g., leveraging the skills and abilities of all team members, valuing cross-disciplinary/cultural contributions, engaging in difficult conversations and resolving conflict) |
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RM631P - DIGITAL MANUFACTURING (2021 Batch) | |
Total Teaching Hours for Semester:75 |
No of Lecture Hours/Week:5 |
Max Marks:100 |
Credits:4 |
Course Objectives/Course Description |
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The objective is to transform product ideas into viable products: hand sketching; fundamental engineering design principles and procedures; design, analysis and optimization of parts using CAD, CAM, CAE technologies; implementation of additive manufacturing; and reverse engineering complete processes. |
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Course Outcome |
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CO1: Identify different axes, machine zero, home position, systems and controls CNC machines. {L1} CO2: Apply ideas of product design using 2D sketches, 3D modelling, parametric design and assembly modelling. {L2} CO3: Understand general stages of the process, solid and FEA models, materials definition, loading, post-processing, results and verifications. {L2} CO4: Interface software application for auto part programming. {L2} CO5: Understand digitizing methods and main technologies: applications and selection of reverse engineering systems. {L2} |
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RM632 - ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The course should enable the student 1. To understand the representation of AI techniques, agents and agent environments. 2. To study about applications of AI and ML techniques 3. To know the knowledge representation and learning 4. To enable the students to apply these techniques in application which involve perception, reasoning and learning 5. To apply the working of Neural Network techniques |
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Course Outcome |
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CO1: Explain the fundamental knowledge of AI and Intelligent agents (L2) CO2: Describe the various learning models with real-time scenarios (L2) CO3: Construct various learning models using python (L3) CO4: Experiment with the working of several neural networks with case studies (L3 CO5: Examine the applications of AI in various sectors and its research aspects (L4) |
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RM633 - FIELD AND SERVICE ROBOTS (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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At the end of the course, the students would be able ● To study the various parts of robots and fields of robotics. ● To study about the localization, planning and navigation. ● To study the control of robots for some specific applications.
● To study about the humanoid robots. |
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Course Outcome |
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CO1: Explain the basic concepts of working of robot (L2) CO2: Analyze the function of sensors in the robot (L4) CO3: Apply of robot programming methods for robotic applications. (L3) CO4: Explain use of robots in different applications (L2) CO5: Describe about the humanoid robots. (L2) |
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RM637 - SERVICE LEARNING (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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1. To develop a habit of critical reflection for life-long learning in solving societal problems. 2. To work with a community and identify a specific need that can be addressed through Involvement and engineering practices. |
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Course Outcome |
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CO1: Integrates the academic work with community service through student involvement. [L3] [PO1, PO2, PO3, PO4, PO12]. CO2: Develop and implement a project designed to respond to that identified community need. [L3] [PO1, PO2, PO3, PO4, PO12]. CO3: Create an awareness among the students as responsible citizen of the community/society. [L3] [PO1, PO2, PO3, PO4, PO12]. |
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RM644E3 - MOBILE APPLICATION DEVELOPMENT (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The course should enable the students to: ∙ Understand system requirements for mobile applications ∙ Generate suitable design using specific mobile development frameworks ∙ Generate mobile application design ∙ Implement the design using specific mobile development frameworks ∙ Deploy the mobile applications in marketplace for distribution |
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Course Outcome |
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CO1: Explain the challenges in mobile application design and development{L1} CO2: Develop design for mobile applications for specific requirements {L2} CO3: Implement the design using Objective C and iOS {L3} CO4: Implement the design using Android SDK {L3} CO5: Deploy mobile applications in Android and iPhone marketplace for distribution{L2}
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RM644E5 - WIRELESS SENSOR NETWORKS FOR ROBOTICS (2021 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The course should enable the students: ● To know the basic knowledge about wireless sensor networks ● To impart knowledge in networking using sensors ● To know about the tools used in networking ● To understand the basic in wireless architecture ● To know about the different techniques used in networking |
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Course Outcome |
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CO1: Ability to know about the different techniques used in networking. (L2) CO2: To expose basic knowledge about wireless sensor networks. (L2) CO3: Ability to know about the tools in networking. (L2) CO4: Understand the basic in wireless architecture. (L2)
CO5: Ability to know about the protocols used in networking. (L2)
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RM651 - AI AND MACHINE LEARNING LABORATORY (2021 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:1 |
Course Objectives/Course Description |
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Course objectives: The course should enable the students to: 1. Implement and evaluate AI algorithms in Python language. 2. Implement and evaluate ML algorithms in Python/Java programming language. |
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Course Outcome |
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CO1: Explain about use and implementation of AI algorithms. (L2) CO2: Evaluate different AI and ML algorithms. (L4) CO3: Implement and demonstration of ML algorithms. (L2) |
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ECOE7601 - AUTOMOTIVE ELECTRONICS (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The aim of this course is to enable student to understand the complete dynamics of automotive electronics, design and implementation of the electronics that contributes to the safety of the automobiles, add-on features, and comforts. |
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Course Outcome |
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CO1: Implement various control requirements in the automotive system CO2: Comprehend dashboard electronics and engine system electronics CO3: Identify various physical parameters that are to be sensed and monitored for maintaining the stability of the vehicle under dynamic conditions CO4: Understand and implement the controls and actuator system pertaining to the comfort and safety of commuters CO5: Design sensor network for mechanical fault diagnostics in an automotive vehicle |
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EEOE731 - BATTERY MANAGEMENT SYSTEMS FOR ELECTRICAL VEHICLES (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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This course introduce battery chemistry, traction batter & regulation, parameter estimation, battery state estimation, protection and BMS |
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Course Outcome |
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CO1: To understand the traction battery chemistry CO2: To demonstrate the need for Battery Management Systems in Lithium ion battery packs.
CO3: To understand the control Algorithms used to determine State of Charge CO4: To understand the need of Thermal Management System for Battery life extension. CO5: To identify the charging and discharging controllers and their regulations |
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RM733 - CONTROL SYSTEM (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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● To teach the fundamental concepts of control systems & mathematical modelling of system. ● To study the concept of time response and frequency response of the system. ● To teach the basics of stability analysis of the system. |
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RM741E2 - SMART SENSORS FOR IOT APPLICATIONS (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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To impart knowledge on 1. Properties and working of smart sensors. 2. Signal conditioning for sensors. 3. Smart Sensor and IoT Application. |
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Course Outcome |
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RM742E2 - PRODUCT DESIGN AND DEVELOPMENT (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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To educate students a clear understanding of factors to be considered in designing parts and components with focus on manufacturability. |
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RM744E3 - HYBRID-ELECTRIC VEHICLES (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The course should enable the students: 1. To understand the principles of traction 2. To understand the characteristics of hybrid vehicles 3. To differentiate various motors and drives 4. To integrate various subsystems 5. To understand energy conservation principles in hybrid vehicles |
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RM751 - AUTOMATION SYSTEM DESIGN LABORATORY (2020 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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The student should be made to: ● To illustrate the design and simulation of multiple actuator systems using pneumatic, electro-pneumatic and PLCs and enable the students to integrate various fringe conditions in multiple actuator systems. ● To design a system using PNEUMOSIM software. ● To design a Microcontroller kit with stepper motor and drive circuit using LABVIEW software. ● To expose the students in sensors/actuators interfaced with computers. ● To design a circuit using stepper motor. |
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RM781 - PROJECT WORK PHASE - I (2020 Batch) | |
Total Teaching Hours for Semester:30 |
No of Lecture Hours/Week:2 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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Project work Phase-I includes identifying the problem, literature review and necessary ground work so as to continue it as Phase-II during VIII semester. Presentations on these are to be given as per the schedule announced by the department. |
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Course Outcome |
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Able to complete the project. |
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RM782 - INTERNSHIP (2020 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:4 |
Max Marks:50 |
Credits:2 |
Course Objectives/Course Description |
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Course Outcome |
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CO1: To experience a 60 days internship training, enabling the student for onsite visits, study projects and practical training. {L4} CO2: To develop a skill for handling multiple situations, practical problems, analysing team work and communication abilities. {L2} CO3: To integrate theory with practice and carry out performance objectives on strong work ethics, persistence, adaptability and critical thinking. {L3} |
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AU881 - PROJECT WORK PHASE II (2020 Batch) | |
Total Teaching Hours for Semester:90 |
No of Lecture Hours/Week:16 |
Max Marks:300 |
Credits:10 |
Course Objectives/Course Description |
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Students in a group of maximum four work on a project. The nature of project may be a design and fabrication, modellingand analysis, a case study, etc. The project may also be taken at an industry ot research organisation with the permissionfrom the department. The faculty member will be assigned as an internal guide who will monitor assess the progressregularly. A report on the project work in the approved format is to submitted on or before the dates announced by thedepartment. Examination requires demonstration of the project in the presence of an external examiner. |
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Course Outcome |
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The final outcome of a project, which might be a product (such as a machine) creates a focus for the project that gives it afeeling of purpose from day one. Think about your own work – you probably carry out tasks with much more confidencewhen you have a clear idea of what you are meant to produce at the end of it than you do when the final output is vaguelydefined. |
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RM841E5 - PROCESS PLANNING AND COST ESTIMATION (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
Course Objectives/Course Description |
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The course should enable the students to: ● Understand the basic concepts of process Planning and estimation and ● Apply different methods of cost estimation in different manufacturing shops ● Learn the concepts of process planning and cost estimation in competitive manufacturing systems and organizations. |
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Course Outcome |
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CO1: Select the process, equipment and tools for various industrial products. CO2: Develop process planning activity chart. CO3: Explain the concept of cost estimation. CO4: Solve the job order cost for different type of shop floor. CO5: Calculate the machining time for various machining operations. |
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