COs(RA)

 SE:SEM I:Engineering Mathematics III (207007)

CO 1

Solve higher order linear differential equations and its applications to model and analyze mass spring systems

CO 2

Apply Integral transform techniques such as Laplace transform and Fourier transform to solve differential equations involved in vibration theory, heat transfer and related mechanical engineering applications.

CO 3

Apply Statistical methods like correlation, regression in analyzing and interpreting experimental data applicable to Reliability engineering and probability theory in testing and quality control.

CO 4

Perform Vector differentiation and integration, analyze the vector fields and apply to fluid flow problems.

CO 5

Solve Partial differential equations such as wave equation, one and two dimensional heat flow equations.

 SE: SEM I: Industrial Electronics and Electrical Technology (211501)

CO 1

Develop the capability to identify and select suitable DC motor / induction motor.

CO 2

Identify special purpose motor and its speed control method for given industrial application.

CO 3

Program Arduino IDE using conditional statements.

CO 4

Interfacing sensors with Arduino IDE.

CO 5

Analyze Microcontrollers and embedded systems terminologies and sensors.

 SE: SEM I: Strength of Materials (211082)

CO 1

Understand the concepts of stress and strain at a point as well as the stress-strain relationship for homogeneous, isotropic materials.

CO 2

Understand the analysis and design the members subjected to tension, compression, torsion, bending and combined stresses using fundamental concepts of stress, strain and elastic behavior of materials.

CO 3

Understand the procedure of determining the stresses and strains in members subjected to combined loading and apply the theories of failure for static loading.

CO 4

Understand analysis of slender, long columns and determine and illustrate principal stresses, maximum shearing stress and stresses acting on a structural member.

 SE: SEM I: Manufacturing Technology (211502)

CO 1

Describe and classify metal casting processes

CO 2

Classify and analyze various forming processes

CO 3

Understand special casting and forming processes

CO 4

Classify and describe different types of welding and joining processes

CO 5

Understand various non conventional machining process.

CO6

Understand various applications of robots in manufacturing

 SE: SEM I: Material Science and Engineering Metallurgy ( 211503)

CO 1

Define the mechanical properties of materials and conduct destructive and non destructive tests to evaluate and test the properties of materials

CO 2

Draw and explain equilibrium diagrams for various alloy systems

CO 3

Work with Iron-Iron carbide equilibrium diagram and apply this knowledge for classification of steels from microstructure observations

CO 4

Select proper Heat Treatment, Surface Hardening technique & Isothermal Treatments for the steels considering properties and service requirements

CO 5

Distinguish different Alloy Steels and Cast Irons based on chemical compositions and microstructures

CO6

Familiarize with different types of non-ferrous alloys and Composites with their need scope and applications

SE: SEM II: Industrial Engineering and Management  (211508)

CO 1

Students will be able to:

Describe Principles and Types of Management

CO 2

Interpret Theories of Motivations and leadership

CO 3

Develop Entrepreneurship skills

CO 4

Apply various Tools and techniques of Industrial Engineering for Productivity improvement

CO 5

Apply Method study and examine the recorded facts and propose new method

CO6

Apply Work Measurement techniques to determine standard time

SE: SEM II: Control System Engineering (211509)

CO 1

After completion of this course, the student will be able to:

Model a physical system and express its internal dynamics and input-output relationships by means of  block diagrams, mathematical model and transfer functions.

CO 2

Understand and explain the relationships between the parameters of a control system and its stability, accuracy, transient behavior.

CO 3

Identify the parameters that the system is sensitive to. Determine the stability of a system and parameter ranges for a desired degree of stability.

CO 4

Plot the Bode, Nyquist, Root Locus diagrams for a given control system and identify the parameters and carry out the stability analysis.

CO 5

Determine the frequency response of a control system and use it to evaluate or adjust the relative stability

CO6

Design a P, PD, PI, or PID controller based on the transient and steady state response criteria.

SE: SEM II: Design of Machine Elements (211510)

CO 1

On successful completion of the course students should be able to-

Understand the basic principles and process of machine design

CO 2

Understand the theories of failures and Factor of safety to design mechanical component.

CO 3

Analyze the stress and strain on mechanical components such as shaft, power screws, mechanical springs, gears, and bearings.

CO 4

Understand, identify and quantify failure modes for mechanical parts such as shaft, power screws, mechanical springs, gears, and bearings.

CO 5

Demonstrate knowledge on basic machine elements used in design of machine elements to withstand the loads and deformations for a given practical application.

SE: SEM II: Metrology and Quality Assurance (211511)

CO 1

After learning this subject, the student will be able to:

 Describe and work with various linear and angular measuring devices

CO 2

Design limit gauges and work with special measuring devices for gear, screw thread and surface finish measurements

CO 3

Distinguish various comparators and use profile projector

CO 4

Use various control charts and various quality assurance tools

CO 5

Get knowledge of various quality standards and their implementations in industries.

CO6

Implement TQM and TPM concepts in practice

 SE: SEM II: Computer Graphics for Robotics (211512)

CO 1

Understand the basics of computer graphics, different graphics systems and applications of computer graphics.

CO 2

Use of geometric transformations on graphics objects and their application in robot kinematics analysis.

CO 3

Demonstrate the application of Bezier curves and interpolation in robot path planning

CO 4

Apply concept of analytic geometry and geometric algebra for modelling in robotic physics

 SE: SEM II: Project Based Learning (211099)

CO 1

Project based learning will increase their capacity and learning through shared cognition.

CO 2

Students able to draw on lessons from several disciplines and apply them in practical way.

CO 3

Learning by doing approach in PBL will promote long-term retention of material and replicable skill, as well as improve teachers' and students' attitudes towards learning.

 TE SEM I:Embedded System in Robotics  311501(A)

CO1

Understand the concept of embedded system, microcontroller, different components of microcontroller and their interactions

CO2

Get familiarized with programming environment to develop embedded solutions.

CO3

Program ARM microcontroller to perform various tasks.

CO4

Understand the key concepts of embedded systems such as I/O, timers, interrupts and interaction with peripheral devices

TE SEM I:Hydraulics and Pneumatics 311502(A)

CO1

Exemplify the basic principles of Industrial fluid power.

CO2

Select and specify various components for hydraulic and pneumatic systems.

CO3

Execute PLC program for electro-hydraulic circuit applications

CO4

Organize hydraulic and pneumatic circuits for given application

CO5

Evaluate the hydraulic and pneumatic systems based on various evaluation criteria

TE SEM I:Robot Kinematics and Dynamics 311503(A)

CO1

Select the type of mechanism for the robotic applications

CO2

Perform kinematic analysis, synthesis of mechanisms.

CO3

Perform forward and inverse kinematics of robots

CO4

Apply design procedure for mechanical grippers depending upon their types and mechanism

CO5

Design of robot manipulators based on dynamic analysis

TE SEM I : Sensor Technology 311504(A)  

CO1

Choose sensor for a particular application

CO2

Check the performance of the sensor under test.

CO3

Design signal conditioning circuitry for a sensor

CO4

Analyze the specifications of various types of sensors

CO5

Understand the principals of advance sensors

 TE SEM I:Elective 1-Statistics and Numerical Methods 311505(A)-I

CO1

Understand the sampling and concept of hypothesis

CO2

Design the experiments based on the processes parameters.

CO3

Make use of numerical method to solve the simultaneous equations.

CO4

Able to establish the co-relation between input factors and performance measure using regression analysis and interpolation methods

CO5

Make use of numerical & iterative methods for solving complex algebraic & transcendental equation, simultaneous equations, curve fitting, interpolation , optimization , integration & differentiation

TE SEM I: Elective 1-Finite Element Analysis 311505(A)-II

CO1

Model and Analyze 1-D problem.

CO2

Model and Analyze Truss subjected to loading

CO3

Model and Analyze Two-Dimensional Problem Using Constant Strain Triangles

CO4

Perform finite element modeling of triangular element and 2-D iso-parametric elements

CO5

Analyze steady state heat transfer - 1D and 2D heat conduction and convection

CO6

Identify meshing techniques quality aspects of meshing

TE SEM I :Elective 1-Industrial Robotics and Material handling Systems 311505(A)-III                                        

CO1

Understand about material handling system

CO2

Understand storage and data capturing system

CO3

Describe the basic concepts, parts of robots and types of robots.

CO4

Select the robots according to its usage.

CO5

Describe various applications of robots, justification and implementation of robot.

 TE SEM I:Elective 1-Intelligent Manufacturing System  311505(A)-IV

CO1

Implement statistical methods, evolutionary optimization techniques, soft computing methods, machine learning and knowledge based system for manufacturing system applications such as: Equipment selection and layout

CO2

Implement statistical methods, evolutionary optimization techniques, soft computing methods, machine learning and knowledge based system for manufacturing system applications such as: Process planning and parametric optimization

CO3

Implement statistical methods, evolutionary optimization techniques, soft computing methods, machine learning and knowledge based system for manufacturing system applications such as: Cellular manufacturing

CO4

Implement statistical methods, evolutionary optimization techniques, soft computing methods, machine learning and knowledge based system for manufacturing system applications such as: Robotics systems

TE SEM II: Robot Programming   311508(A)

CO1

Explain robot programming methods

CO2

Understand the components of robot programming

CO3

Develop simple programs to simulate robot movements

CO4

Develop robot programs for specific application

CO5

Describe the safety rulesin robot handling

 TE SEM II :Artificial Intelligence for Robotics  311509(A)

CO1

Select appropriate artificial intelligence method/algorithm to handle various issues in robotics

CO2

Demonstrate various algorithms used in artificial intelligence

CO3

Apply artificial intelligence algorithms to robotics problems

CO4

Compare the performance of AI algorithms

CO5

Build solution methodology to solve complex problems in flexible automation

TE SEM II: Flexible Manufacturing Systems  311510(A)

CO1

Understand FMS and its applications.

CO2

Implement GT.

CO3

Perform CNC programming

CO4

Apply the concept of computer integrated manufacturing in FMS scenario

CO5

Understand basics of Tool Management System.

TE SEM II : Elective 2-Micro-electro-mechanical Systems  311511(A)-I    

CO1

Understand the operation of micro devices, micro systems and their applications

CO2

Design the micro devices, micro systems using the MEMS fabrication process.

CO3

Gain a knowledge of basic approaches for various sensor design

CO4

Gain a knowledge of basic approaches for various actuator design

TE SEM II : Elective 2-Modeling and Simulation   311511(A)-III

CO1

Students will be able to

Solve the problems based on simulation principal

CO2

Differentiate the simulation systems.

CO3

Collect data and generate the random numbers.

CO4

Distinguish simulations with regard to output analysis

CO5

Apply simulation to manufacturing system.

CO6

Handle software packages – ARENA/Sim Factory/ Promodel / Witness

TE SEM II :Internship   311513

CO1

On completion of the internship, learner will be able to –

To develop professional competence through industry internship.

CO2

To apply academic knowledge in a personal and professional environment

CO3

To build the professional network and expose students to future employees.

CO4

Apply professional and societal ethics in their day to day life.

CO5

To become a responsible professional having social, economic and administrative considerations.

CO6

To make own career goals and personal aspirations.

BE SEM I: Machine Vision System  411501(A)

CO1

Describe the stages of digital image processing

CO2

Demonstrate the role of image processing in different fields such as robotics, medical, engineering, agriculture, food industry, etc.

CO3

Apply various machine learning algorithms for image processing and analysis

CO4

Develop algorithms for machine vision in robotic applications

BE SEM I: Robot System Reliability and Safety  411502(A)

CO1

To get disciplined approach in order to ensure that a robotic component, product, plant, or process performs its intended function, without failure, for the required time duration in a specified environment.

CO2

To explore how to behave and survive in robot environment.

CO3

To get familiar with practical settings which requires maintaining safe operation and consistent performance throughout lifespan of robots, regardless of environmental contact or human interaction

BE SEM I: Elective III: Advanced Computational techniques  411503(A)

CO1

Select appropriate computational technique for solving issues in robotics and automation

CO2

Demonstrate understanding of computational techniques

CO3

Apply computational techniques for solving models in automation systems

CO4

Examine the performance of the computational techniques

CO5

Develop methodology to deal with issues in robotics and automation

BE SEM I:Elective III: Wireless Sensor Network 411503(A)

CO1

Explain various concepts and terminologies and protocols used in wireless sensor networks (WSN).

CO2

Describe importance and use of radio communication and link management in WSN

CO3

Recognize importance of localization and routing techniques used in WSN.

CO4

Apply techniques of data aggregation and importance of security in WSN.

CO5

Examine the issues involved in design and deployment of WSN.

BE SEM I: Elective-III: Microprocessor and Microcontroller  411503(A)

CO1

Recall basic concept of digital fundamentals to Microprocessor based personal computer system.

CO2

Identify a detailed software and hardware structure of the Microprocessor.

CO3

Illustrate how the different peripherals (8259, 8255, 8253 etc.) interfaced with Microprocessor.

CO4

Distinguish and analyze the properties of Microprocessors & Microcontrollers.

CO5

Analyze the data transfer information through serial & parallel ports.

BE SEM I: Elective III: Ergonomics and Work Management  411503(A)

CO1

Analyze man machine interaction system for human comfort.

CO2

Evaluation of physiological functions for preventing accidents.

CO3

Application of anthropometry in practical life.

CO4

Demonstrate productivity improvement techniques.

BE SEM I: Elective-IV: Computational Fluid Dynamics  411504 (A)

CO1

Demonstrate the basic concepts of CFD.

CO2

Apply the various discretization methods, solution procedures to solve flow problems.

CO3

Use various turbulence models to solve turbulent flow problems.

CO4

Categorize different numerical techniques used to solve fluid flow problems

BE SEM I:Elective IV: Internet of Things and Machine Learning 411504 (A)

CO1

Demonstrate the concepts of Internet of things (IoT) and its applications

CO2

Make use of embedded system platform to develop sensor-based applications

CO3

Identify machine learning algorithm for given application

CO4

Deploy machine learning algorithm

CO5

Implement the concept of Cloud and Fog computing in robotics

BE SEM I:Elective IV: Artificial Neural Networks and Fuzzy systems  411504 (A)

CO1

Develop Fuzzy Inference System for various applications.

CO2

Integrate and develop Neural Network for various applications.

CO3

Illustrate the role played by Mechatronics engineers to automate the process by integrating the knowledge of soft-computing techniques.

BE SEM I:Elective IV: Power Electronics and Drives  411504 (A)

CO1

Examine the characteristics of various devices and application of firing circuits used in power electronics.

CO2

Analyze the performance characteristics of AC voltage regulators, choppers, inverters, rectifiers and cyclo converters.

CO3

Demonstrate the working principle of various power electronic devices and circuits using simulation.

CO4

Design the simple power electronic circuits through digital simulation.

CO5

Provide strong foundation for study of power drives and their applications.

BE SEM I: Audit Course 7: Human Rights 411507

CO1

Realize the importance and different approaches to Human rights

CO2

Explain different mechanisms of United Nations to ensure and protect the Human Rights

CO3

Comprehend the different Constitutional provisions and legislations to protect Human Rights in India

CO4

Analyze the functions of NHRC, Judiciary and PIL for protecting Human Rights in India

CO5

Examine the challenges to Human Rights of different vulnerable sections

BE SEM II: Field and Service Robots :411508(A)

CO1

Define various applications of robot in health care and service tasks.

CO2

Analyze the function of sensors in the robot.

CO3

Design different application specific robots.

BE SEM II: PLC and SCADA Programming:411509(A)

CO1

Identify the components of a Programmable Logic Controller system and understand their role.

CO2

Understand the basics of data conversion, Data Acquisition, Programmable Logic Controller and Supervisory Control and Data Acquisition.

CO3

Applying knowledge to interface input and output devices to Programmable Logic Controller

CO4

Apply knowledge to design logic circuits to perform industrial control functions and realize the same using ladder logic

CO5

Familiarization with Supervisory Control and Data Acquisition architecture and its applications

CO6

Familiarization with Human Machine Interface and Distributed Control Systems

BE SEM II: Elective V: Reverse Engineering : 411510(A)

CO1

Apply reverse engineering system to various applications.

CO2

Interpreting the terminologies related to re-engineering, forward engineering, and reverse engineering.

CO3

Disassemble products and specify the interactions between its subsystems and their functionality

CO4

Implement the Reverse Engineering methodologies.

BE SEM II: Elective V: Elective V: Data Analytics : 411510(A)

CO1

Effectively visualize and interpret the data

CO2

Apply predictive and prescriptive techniques for production engineering applications

CO3

Use data analysis for engineering applications through the powerful tools of data application

BE SEM II: Elective V: Entrepreneurship and Innovations : 411510(A)

CO1

learn the various aspects of innovation and methods of fostering Innovation

CO2

Appreciate the importance of embarking on self-employment and has developed the confidence and personal skills for the same.

CO3

Start a small business enterprise by liaising with different stake holders

CO4

Effectively manage small business enterprise.

BE SEM II: Elective V: Electronic System Design and Analysis: 411510 (A)

CO1

Verify and reflect over and provide critical assessment of a concrete implementation of their own design.

CO2

Analyse electronic systems in terms of safety, Reliability and thermal management

CO3

Design systems with reference to protection, electromagnetic compatibility.

CO4

Implement and test self-designed electronic systems.

BE SEM II: Elective VI: Additive Manufacturing: 411511(A)

CO1

Grasp the principle, methods, possibilities and limitations as well as environmental hazards of Additive Manufacturing technologies.

CO2

Identify the characteristics of the different materials used in Additive Manufacturing technologies.

CO3

Explore the potential of additive manufacturing technologies in real life app