207003 Engineering Mathematic III (MIII):
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CO1
Solve higher order linear differential equations using appropriate techniques for modeling and analyzing electrical circuits.
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CO2
Solve problems related to Fourier transform, Z-transform and applications to Signal and Image processing.
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CO3
Apply Statistical methods like correlation, regression analysis and probability theory for analysis and prediction of the given Data as applied to machine intelligence.
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CO4
Perform vector differentiation and Integration, Analyze the vector fields and apply to compute line, surface and volume integral.
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CO5
Analyze conformal mappings, transformations and perform contour integration of complex functions required in Image processing, Digital filters and Computer Graphics.
210251Computer Graphics (CG):
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CO1
Understand mathematics required to develop Computer programs for elementary graphic operations (Understand)
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CO2
Apply mathematics and logic to develop Computer programs for elementary graphic operations (Apply, create)
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CO3
Develop the competency to understand the concepts related to Polygon filling and clipping (Understand)
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CO4
Develop scientific and strategic approach to solve complex problems in the domain of Computer Graphics (Create )
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CO5
Apply the logic to develop animation and gaming programs (Create)
210252 Advance Data Structure:
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CO1
To apply appropriate advanced data structure and efficient algorithms to approach the problems of various domain.
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CO2
To design the algorithms to solve the programming problems.
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CO3
To use effective and efficient data structures in solving various Computer Engineering domain problems
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CO4
To analyze the algorithmic solutions for resource requirements and optimization
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CO5
To use appropriate modern tools to understand and analyze the functionalities confined to the data structure usage.
210253 Microprocessor (MP):
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CO1
To apply the assembly language programming to develop a small real-life embedded application.
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CO2
To understand the architecture of the advanced processor thoroughly to use the resources for programming
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CO3
To understand the higher processor architectures descended from 80386 architecture
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CO4
To design and develop embedded systems
210254 Principles of Programming Languages (PPL):
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CO1
To analyze the strengths and weaknesses of programming languages for effective and efficient program development.
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CO2
To inculcate the principles underlying the programming languages enabling to learn new programming languages.
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CO3
To grasp different programming paradigms
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CO4
To use the programming paradigms effectively in application development.
TE COURSE
310250 Design & Analysis Of Algorithm:
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CO1
Formulate the problem
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CO2
Analyze the asymptotic performance of algorithms
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CO3
Decide and apply algorithmic strategies to solve given problem
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CO4
Find optimal solution by applying various methods
310251 Systems Programming & Operating System (SP & OS) :
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CO1
To understand basic concepts of system programming
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CO2
To synthesize the fundamental concepts related to system software
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CO3
To use tools like LEX & YACC to design system software
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CO4
To implement operating system functions
310252 Embedded Systems & Internet of Things (ES &IoT) :
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CO1
Implement an architectural design for IoT for specified requirement.
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CO2
Solve the given societal challenge using IoT.
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CO3
Choose between available technologies and devices for stated IoT challenge.
310253 Software Modeling & Design :
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CO1
Distinguish different learning based applications
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CO2
Apply different preprocessing methods to prepare training data set for machine learning.
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CO3
Design and implement supervised and unsupervised machine learning algorithm.
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CO4
Implement different learning models
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CO5
Learn Meta classifiers and deep learning concepts
310254 Web Technologies (WT) :
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CO1
Analyze given assignment to select sustainable web development design methodology.
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CO2
Develop web based application using suitable client side and server side web technologies.
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CO3
Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management.
310256 ]Web Technology Lab :
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CO1
Develop web based application using suitable client side and server side web technologies
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CO2
Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management
BE COURSE
410250 Machine Learning (ML) :
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CO1
Distinguish different learning based applications
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CO2
Apply different pre-processing methods to prepare training data set for machine learning
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CO3
Design and implement supervised and unsupervised machine learning algorithm.
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CO4
Implement different learning models
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CO5
Learn Meta classifiers and deep learning concepts
310256 ]Web Technology Lab :
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CO1
Develop web based application using suitable client side and server side web technologies
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CO2
Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management
BE COURSE
410250 Machine Learning (ML) :
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CO1
Distinguish different learning based applications
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CO2
Apply different pre-processing methods to prepare training data set for machine learning
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CO3
Design and implement supervised and unsupervised machine learning algorithm.
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CO4
Implement different learning models
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CO5
Learn Meta classifiers and deep learning concepts
410251 Information and Cyber Security (I&CS) :
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CO1
Gauge the security protections and limitations provided by today's technology.
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CO2
Identify information security and cyber security threats.
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CO3
Analyze threats in order to protect or defend it in cyberspace from cyber-attacks.
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CO4
Build appropriate security solutions against cyber-attacks .
410252 Elective III (Compilers) :
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CO1
To Introduce process of compilation.
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CO2
To introduce compiler writing tools
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CO3
To address issues in code generation and optimization.
410253 Elective IV Business Intelligence (BI) :
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CO1
Apply basic, intermediate and advanced techniques to analysis the data
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CO2
Analyze the output generated by the process of Business Intelligence
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CO3
Explore the hidden patterns in the data
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CO3
Optimize the mining process by choosing best Business Intelligence technique
