PIMPRI CHINCHWAD EDUCATION TRUST'S

PIMPRI CHINCHWAD COLLEGE OF ENGINEERING & RESEARCH

An ISO 9001:2015 Certified Institute

(APPROVED BY GOVT. OF MAHARASHTRA, AFFILIATED TO SPPU, APPROVED BY AICTE, DTE CODE - 6822)

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Achivements

CO


TERM-II
SE COURSE
207003 Engineering Mathematic III (MIII):
  • CO1
    Solve higher order linear differential equations using appropriate techniques for modeling and analyzing electrical circuits.
  • CO2
    Solve problems related to Fourier transform, Z-transform and applications to Signal and Image processing.
  • CO3
    Apply Statistical methods like correlation, regression analysis and probability theory for analysis and prediction of the given Data as applied to machine intelligence.
  • CO4
    Perform vector differentiation and Integration, Analyze the vector fields and apply to compute line, surface and volume integral.
  • CO5
    Analyze conformal mappings, transformations and perform contour integration of complex functions required in Image processing, Digital filters and Computer Graphics.
210251Computer Graphics (CG):
  • CO1
    Understand mathematics required to develop Computer programs for elementary graphic operations (Understand)
  • CO2
    Apply mathematics and logic to develop Computer programs for elementary graphic operations (Apply, create)
  • CO3
    Develop the competency to understand the concepts related to Polygon filling and clipping (Understand)
  • CO4
    Develop scientific and strategic approach to solve complex problems in the domain of Computer Graphics (Create )
  • CO5
    Apply the logic to develop animation and gaming programs (Create)
210252 Advance Data Structure:
  • CO1
    To apply appropriate advanced data structure and efficient algorithms to approach the problems of various domain.
  • CO2
    To design the algorithms to solve the programming problems.
  • CO3
    To use effective and efficient data structures in solving various Computer Engineering domain problems
  • CO4
    To analyze the algorithmic solutions for resource requirements and optimization
  • CO5
    To use appropriate modern tools to understand and analyze the functionalities confined to the data structure usage.
210253 Microprocessor (MP):
  • CO1
    To apply the assembly language programming to develop a small real-life embedded application.
  • CO2
    To understand the architecture of the advanced processor thoroughly to use the resources for programming
  • CO3
    To understand the higher processor architectures descended from 80386 architecture
  • CO4
    To design and develop embedded systems
210254 Principles of Programming Languages (PPL):
  • CO1
    To analyze the strengths and weaknesses of programming languages for effective and efficient program development.
  • CO2
    To inculcate the principles underlying the programming languages enabling to learn new programming languages.
  • CO3
    To grasp different programming paradigms
  • CO4
    To use the programming paradigms effectively in application development.

TE COURSE

310250 Design & Analysis Of Algorithm:
  • CO1
    Formulate the problem
  • CO2
    Analyze the asymptotic performance of algorithms
  • CO3
    Decide and apply algorithmic strategies to solve given problem
  • CO4
    Find optimal solution by applying various methods
310251 Systems Programming & Operating System (SP & OS) :
  • CO1
    To understand basic concepts of system programming
  • CO2
    To synthesize the fundamental concepts related to system software
  • CO3
    To use tools like LEX & YACC to design system software
  • CO4
    To implement operating system functions
310252 Embedded Systems & Internet of Things (ES &IoT) :
  • CO1
    Implement an architectural design for IoT for specified requirement.
  • CO2
    Solve the given societal challenge using IoT.
  • CO3
    Choose between available technologies and devices for stated IoT challenge.
310253 Software Modeling & Design :
  • CO1
    Distinguish different learning based applications
  • CO2
    Apply different preprocessing methods to prepare training data set for machine learning.
  • CO3
    Design and implement supervised and unsupervised machine learning algorithm.
  • CO4
    Implement different learning models
  • CO5
    Learn Meta classifiers and deep learning concepts
310254 Web Technologies (WT) :
  • CO1
    Analyze given assignment to select sustainable web development design methodology.
  • CO2
    Develop web based application using suitable client side and server side web technologies.
  • CO3
    Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management.
310256 ]Web Technology Lab :
  • CO1
    Develop web based application using suitable client side and server side web technologies
  • CO2
    Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management

BE COURSE

410250 Machine Learning (ML) :
  • CO1
    Distinguish different learning based applications
  • CO2
    Apply different pre-processing methods to prepare training data set for machine learning
  • CO3
    Design and implement supervised and unsupervised machine learning algorithm.
  • CO4
    Implement different learning models
  • CO5
    Learn Meta classifiers and deep learning concepts
310256 ]Web Technology Lab :
  • CO1
    Develop web based application using suitable client side and server side web technologies
  • CO2
    Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management

BE COURSE

410250 Machine Learning (ML) :
  • CO1
    Distinguish different learning based applications
  • CO2
    Apply different pre-processing methods to prepare training data set for machine learning
  • CO3
    Design and implement supervised and unsupervised machine learning algorithm.
  • CO4
    Implement different learning models
  • CO5
    Learn Meta classifiers and deep learning concepts
410251 Information and Cyber Security (I&CS) :
  • CO1
    Gauge the security protections and limitations provided by today's technology.
  • CO2
    Identify information security and cyber security threats.
  • CO3
    Analyze threats in order to protect or defend it in cyberspace from cyber-attacks.
  • CO4
    Build appropriate security solutions against cyber-attacks .
410252 Elective III (Compilers) :
  • CO1
    To Introduce process of compilation.
  • CO2
    To introduce compiler writing tools
  • CO3
    To address issues in code generation and optimization.
410253 Elective IV Business Intelligence (BI) :
  • CO1
    Apply basic, intermediate and advanced techniques to analysis the data
  • CO2
    Analyze the output generated by the process of Business Intelligence
  • CO3
    Explore the hidden patterns in the data
  • CO3
    Optimize the mining process by choosing best Business Intelligence technique