Computer Engineering

Computer Engineering

The Department of Computer Engineering sustains and strengthens its teaching and learning program by adapting a comprehensive student centric approach designed to add significant value to the learner in an integrated manner through conceptual and interactive teaching, active lab sessions, seminars, projects, and independent study. As the continued up gradation of the knowledge and skills of faculty members is vital for continuous growth and development of the department, faculties are motivated to attend workshops, seminars, conferences and Training programs.
Department has well equipped state-of-the-art laboratories with latest hardware and software configuration for conducting various practical’s as well as highly qualified and experienced faculty to nurture the future technocrats of the nation.


The department aims to be recognised in the field of quality education through excellence in teaching, learning, research and innovation for the betterment of society.


  • To provide world class infrastructure with modern tools and technologies for better learning ambiance.
  • To enhance problem-solving skills approaches by encouraging young and inspiring minds with innovative teaching & learning.
  • To build competent professionals and entrepreneurs through collaborative learning with national and international institutes of repute.
  • To contribute in the development of society & nation at large through excellence in research and innovation.
Sr. No. Program Educational Objectives (PEO’s)
I To prepare globally competent graduates having strong fundamentals and domain knowledge to provide effective solutions for engineering problems.
II To prepare the graduates to work as committed professionals with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.
III To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
IV To prepare the graduates with strong managerial and communication skills to work effectively as individual as well as in teams.
Sr. No. Program Outcomes (PO’s)
a To apply knowledge of mathematics, science, engineering fundamentals, problem solving skills, algorithmic analysis to solve complex engineering problems.
b To analyze the problem by finding its domain and applying domain specific skills.
c To understand the design issues of the product/software and develop effective solutions with appropriate consideration of public health and safety, cultural, societal, and environmental issues.
d To find solutions of complex problems by conducting investigations applying suitable techniques.
e To adapt the usage of modern tools and recent software.
f To contribute towards the society by understanding the impact of Engineering on global aspect.
g To understand environment issues and design a sustainable system.
h To understand and follow professional ethics.
i To function effectively as an individual and as member or leader in diverse teams and interdisciplinary settings.
j To demonstrate effective communication at various levels.
k To apply the knowledge of Computer Engineering for development of projects, & its finance & management.
l To keep in touch with current technologies and inculcate the practices of lifelong learning.
Year Subject And COs
SE Sem-I Course : Discrete Mathematics Course Code: 210241
Co. No. Course Outcomes
CO1 Formulate problems precisely, solve the problems, apply formal proof techniques, and explain the reasoning clearly.
CO2 Apply appropriate mathematical concepts and skills to solve problems in both familiar and unfamiliar situations including those in real-life contexts.
CO3 Design and analyze real world engineering problems by applying set theory, propositional logic and to construct proofs using mathematical induction.
CO4 Specify, manipulate and apply equivalence relations; construct and use functions and apply these concepts to solve new problems.
CO5 Calculate numbers of possible outcomes using permutations and combinations; to model and analyze computational processes using combinatory
CO6 Model and solve computing problem using tree and graph and solve problems using appropriate algorithms.
CO7 Analyze the properties of binary operations, apply abstract algebra in coding theory and evaluate the algebraic structures
Course : Fundamentals of Data Structures Course Code: 210242
Co. No. Course Outcomes
CO1 Design the algorithms to solve the programming problems, identify appropriate algorithmic strategy for specific application, and analyze the time and space complexity.
CO2 Discriminate the usage of various structures, Design/Program/Implement the appropriate data structures; use them in implementations of abstract data types and Identity the appropriate data structure in approaching the problem solution.
CO3 Demonstrate use of sequential data structures- Array and Linked lists to store and process data.
CO4 Understand the computational efficiency of the principal algorithms for searching and sorting and choose the most efficient one for the application
CO5 Compare and contrast different implementations of data structures (dynamic and static).
CO6 Understand, Implement and apply principles of data structures-stack and queue to solve computational problems.
Course : Object Oriented Programming(OOP) Course Code: 210243
Co. No. Course Outcomes
CO1 Apply constructs- sequence, selection and iteration; classes and objects, inheritance, use of predefined classes from libraries while developing software.
CO2 Design object-oriented solutions for small systems involving multiple objects.
CO3 Use virtual and pure virtual function and complex programming situations.
CO4 Apply object-oriented software principles in problem solving.
CO5 Analyze the strengths of object-oriented programming.
CO6 Develop the application using object oriented programming language(C++).
Course :Computer Graphics Course Code: 210244
Co. No. Course Outcomes
CO1 Identify the basic terminologies of Computer Graphics and interpret the mathematical foundation of the concepts of computer graphics.
CO2 Apply mathematics to develop Computer programs for elementary graphic operations.
CO3 Illustrate the concepts of windowing and clipping and apply various algorithms to fill and clip polygons.
CO4 Understand and apply the core concepts of computer graphics, including transformation in two and three dimensions, viewing and projection.
CO5 Understand the concepts of color models, lighting, shading models and hidden surface elimination.
CO6 Create effective programs using concepts of curves, fractals, animation and gaming.
Course : Digital Electronics and Logic Design Course Code: 210245
Co. No. Course Outcomes
CO1 Simplify Boolean Expressions using K Map.
CO2 Design and implement combinational circuits.
CO3 Design and implement sequential circuits.
CO4 Develop simple real-world application using ASM and PLD.
CO5 Explain organization and architecture of computer system
CO6 Students will be able to correctly operate standard electronic test equipment
Course : Data Structures Lab Course Code: 210246
Co. No. Course Outcomes
CO1 Use algorithms on various linear data structure using sequential organization to solve real life problems.
CO2 Analyze problems to apply suitable searching and sorting algorithm to various applications.
CO3 Analyze problems to use variants of linked list and solve various real life problems.
CO4 Designing and implement data structures and algorithms for solving different kinds of problems.
Course : OOP and Computer Graphics Laboratory Course Code: 210247
Co. No. Course Outcomes
CO1 Understand and apply the concepts like inheritance, polymorphism, exception handling and generic structures for implementing reusable programming codes.
CO2 Analyze the concept of file and apply it while storing and retrieving the data from secondary storages.
CO3 Analyze and apply computer graphics algorithms for line-circle drawing, scan conversion and filling with the help of object oriented programming concepts.
CO4 Understand the concept of windowing and clipping and apply various algorithms to fill and clip polygons.
CO5 Apply logic to implement, curves, fractals, animation and gaming programs.
Course : Digital Electronics Laboratory Course Code: 210248
CO1 Understand the working of digital electronic circuits.
CO2 Apply the knowledge to appropriate IC as per the design specifications.
CO3 Design and implement Sequential and Combinational digital circuits as per the specifications.
Course : Business Communication Skills Course Code: 210249
CO1 Express effectively through verbal/oral communication and improve listening skills
CO2 Write precise briefs or reports and technical documents.
CO3 Prepare for group discussion / meetings / interviews and presentations.
CO4 Explore goal/target setting, self-motivation and practicing creative thinking.
CO5 Operate effectively in multi-disciplinary and heterogeneous teams through the knowledge of team work, Inter-personal relationships, conflict management and leadership qualities.
Course : Humanity and Social Science Course Code: 210250
CO1 Aware of the various issues concerning humans and society.
CO2 Aware about their responsibilities towards society.
CO3 Sensitized about broader issues regarding the social, cultural, economic and human aspects, involved in social changes.
CO4 Able to understand the nature of the individual and the relationship between self and the community.
CO5 Able to understand major ideas, values, beliefs, and experiences that have shaped human history and cultures
SE Sem-II Course : Engineering Mathematics III Course Code: 207003
Co. No. Course Outcomes
CO1 Solve Linear differential equations, essential in modelling and design of computer-based systems.
CO2 Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing.
CO3 Apply Statistical methods like correlation and regression analysis and probability theory for data analysis and predictions in machine learning.
CO4 Solve Algebraic and Transcendental equations and System of linear equations using numerical techniques.
CO5 Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing.
Course : Data Structures and Algorithms Course Code: 210252
Co. No. Course Outcomes
CO1 Identify and articulate the complexity goals and benefits of a good hashing scheme for real- world applications.
CO2 Apply non-linear data structures for solving problems of various domain.
CO3 Design and specify the operations of a nonlinear-based abstract data type and implement them in a high-level programming language.
CO4 Analyze the algorithmic solutions for resource requirements and optimization
CO5 Use efficient indexing methods and multiway search techniques to store and maintain data.
CO6 Use appropriate modern tools to understand and analyze the functionalities confined to the secondary storage.
Course : Software Engineering Course Code: 210253
Co. No. Course Outcomes
CO1 Analyze software requirements and formulate design solution for a software.
CO2 Design applicable solutions in one or more application domains using software engineering approaches that integrate ethical, social, legal and economic concerns.
CO3 Apply new software models, techniques and technologies to bring out innovative and novelistic solutions for the growth of the society in all aspects and evolving into their continuous professional development.
CO4 Model and design User interface and component-level.
CO5 Identify and handle risk management and software configuration management.
CO6 Utilize knowledge of software testing approaches, approaches to verification and validation.
CO7 Construct software of high quality – software that is reliable, and that is reasonably easy to understand, modify and maintain efficient, reliable, robust and cost-effective software solutions.
Course : Microprocessor Course Code: 210254
Co. No. Course Outcomes
CO1 Exhibit skill of assembly language programming for the application
CO2 Classify Processor architectures.
CO3 Illustrate advanced features of 80386 Microprocessor.
CO4 Compare and contrast different processor modes.
CO5 Use interrupts mechanism in applications
CO6 Differentiate between Microprocessors and Microcontrollers.
CO7 Identify and analyze the tools and techniques used to design, implement, and debug microprocessor-based systems
Course : Principles of Programming Languages Course Code: 210255
Co. No. Course Outcomes
CO1 Make use of basic principles of programming languages
CO2 Develop a program with Data representation and Computations
CO3 Develop programs using Object Oriented Programming language : Java.
CO4 Develop application using inheritance, encapsulation, and polymorphism.
CO5 Demonstrate Multithreading for robust application development.
CO6 Develop a simple program using basic concepts of Functional and Logical programming paradigm
Course : Data Structures and Algorithms Laboratory Course Code: 210256
Co. No. Course Outcomes
CO1 Understand the ADT/libraries, hash tables and dictionary to design algorithms for a specific problem.
CO2 Choose most appropriate data structures and apply algorithms for graphical solutions of the problems.
CO3 Apply and analyze non linear data structures to solve real world complex problems.
CO4 Apply and analyze algorithm design techniques for indexing, sorting, multi-way searching, file organization and compression.
CO5 Analyze the efficiency of most appropriate data structure for creating efficient
Course : Microprocessor Laboratory Course Code: 210257
Co. No. Course Outcomes
CO1 Understand and apply various addressing modes and instruction set to implement assembly language programs
CO2 Apply logic to implement code conversion
CO3 Analyze and apply logic to demonstrate processor mode of operation
Course : Project Based Learning II Course Code: 210258
Co. No. Course Outcomes
CO1 Identify the real life problem from societal need point of view
CO2 Choose and compare alternative approaches to select most feasible one
CO3 Analyze and synthesize the identified problem from technological perspective
CO4 Design the reliable and scalable solution to meet challenges
CO5 Evaluate the solution based on the criteria specified
CO6 Inculcate long life learning attitude towards the societal problems
TE Sem-I Course : Database Management Systems Course Code: 310241
Co. No. Course Outcomes
CO1 Analyze and design Database Management System using ER model
CO2 Implement database queries using database languages
CO3 Normalize the database design using normal forms
CO4 Apply Transaction Management concepts in real-time situations
CO5 Use NoSQL databases for processing unstructured data
CO6 Differentiate between Complex Data Types and analyze the use of appropriate data
Course : Theory of Computation Course Code: 310242
Co. No. Course Outcomes
CO1 Understand formal language, translation logic, essentials of translation, alphabets, language representation and apply it to design Finite Automata and its variants
CO2 Construct regular expression to present regular language and understand pumping lemma for RE
CO3 Design Context Free Grammars and learn to simplify the grammar
CO4 Construct Pushdown Automaton model for the Context Free Language
CO5 Devise Turing Machine for the different requirements outlined by theoretical computer science
CO6 Analyze different classes of problems, and study concepts of NP completeness
Course : Systems Programming and Operating System Course Code: 310243
Co. No. Course Outcomes
CO1 Decide on a process model for a developing a software project
CO2 Classify software applications and Identify unique features of various domains
CO3 Design test cases of a software system.
CO4 Understand basics of IT Project management.
CO5 Plan, schedule and execute a project considering the risk management.
CO6 Apply quality attributes in software development life cycle
Course : Computer Networks and Security Course Code: 310244
Co. No. Course Outcomes
CO1 Summarize fundamental concepts of Computer Networks, architectures, protocols and technologies
CO2 Illustrate the working and functions of data link layer
CO3 Analyze the working of different routing protocols and mechanisms
CO4 : Implement client-server applications using sockets
CO5 Illustrate role of application layer with its protocols, client-server architectures
CO6 Comprehend the basics of Network Security
Course : Internet of Things and Embedded Systems Course Code: 310245(A)
Co. No. Course Outcomes
CO1 Understand the fundamentals and need of Embedded Systems for the Internet of Things
CO2 Apply IoT enabling technologies for developing IoT systems
CO3 Apply design methodology for designing and implementing IoT applications
CO4 Analyze IoT protocols for making IoT devices communication
CO5 Design cloud based IoT systems
CO6 Design and Develop secured IoT applications
Course : Database Management Systems Laboratory Course Code: 310246
Co. No. Course Outcomes
CO1 Design E-R Model for given requirements and convert the same into database tables
CO2 Design schema in appropriate normal form considering actual requirements
CO3 Implement NoSQL queries using MongoDB
CO4 Implement SQL queries for given requirements, using different SQL concepts
CO5 Implement PL/SQL Code block for given requirements
CO6 Design and develop application considering actual requirements and using database concepts
Course : Computer Networks and Security Laboratory Course Code: 310247
Co. No. Course Outcomes
CO1 Analyze the requirements of network types, topology and transmission media
CO2 Demonstrate error control, flow control techniques and protocols and analyze them
CO3 Demonstrate the subnet formation with IP allocation mechanism and apply various routing algorithms
CO4 Develop Client-Server architectures and prototypes
CO5 Implement web applications and services using application layer protocols
CO6 Use network security services and mechanisms
Course : Laboratory Practice I Course Code: 310248
Co. No. Course Outcomes
CO1 Implement language translators
CO2 Use tools like LEX and YACC
CO3 Implement internals and functionalities of Operating System
CO4 Design IoT and Embedded Systems based application
CO5 Develop smart applications using IoT
CO6 Develop IoT applications based on cloud environment
Course : Seminar and Technical Communication Course Code: 310249
CO1 Analyze a latest topic of professional interest
CO2 Enhance technical writing skills
CO3 Identify an engineering problem, analyze it and propose a work plan to solve it
CO4 Communicate with professional technical presentation skills
TE Sem-II Course :Data Science and Big Data Analytics Course Code: 310251
Co. No. Course Outcomes
CO1 Analyze needs and challenges for Data Science Big Data Analytics
CO2 Apply statistics for Big Data Analytics
CO3 Apply the lifecycle of Big Data analytics to real world problems
CO4 Implement Big Data Analytics using Python programming
CO5 Implement data visualization using visualization tools in Python programming
CO6 Design and implement Big Databases using the Hadoop ecosystem
Course : Web Technology Course Code:310252
Co. No. Course Outcomes
CO1 Implement and analyze behavior of web pages using HTML and CSS
CO2 Apply the client side technologies for web development
CO3 Analyze the concepts of Servlet and JSP
CO4 Analyze the Web services and frameworks
CO5 Apply the server side technologies for web development
CO6 Create the effective web applications for business functionalities using latest web development platforms
Course : Artificial Intelligence Course Code: 310253
Co. No. Course Outcomes
CO1 Identify and apply suitable Intelligent agents for various AI applications
CO2 Build smart system using different informed search / uninformed search or heuristic approaches
CO3 Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem
CO4 Apply the suitable algorithms to solve AI problems
CO5 Implement ideas underlying modern logical inference systems
CO6 Represent complex problems with expressive yet carefully constrained language of representation
Course :Information Security Course Code: 310254 (A)
Co. No. Course Outcomes
CO1 Model the cyber security threats and apply formal procedures to defend the attacks
CO2 Apply appropriate cryptographic techniques by learning symmetric and asymmetric key cryptography
CO3 Design and analyze web security solutions by deploying various cryptographic techniques along with data integrity algorithms
CO4 Identify and Evaluate Information Security threats and vulnerabilities in Information systems and apply security measures to real time scenarios
CO5 Demonstrate the use of standards and cyber laws to enhance Information Security in the
Course :Internship Course Code: 310255
Co. No. Course Outcomes
CO1 To demonstrate professional competence through industry internship
CO2 To apply knowledge gained through internships to complete academic activities in a professional manner
CO3 To choose appropriate technology and tools to solve given problem.
CO4 To demonstrate abilities of a responsible professional and use ethical practices in day to day life.
CO5 Creating network and social circle, and developing relationships with industry people
CO6 To analyze various career opportunities and decide carrier goals.
Course :Data Science and Big Data Analytics Laboratory Course Code: 310256
Co. No. Course Outcomes
CO1 Apply principles of Data Science for the analysis of real time problems
CO2 Implement data representation using statistical methods
CO3 Implement and evaluate data analytics algorithms
CO4 Perform text preprocessing
CO5 Implement data visualization techniques
CO6 Use cutting edge tools and technologies to analyze Big Data
Course :Web Technology Laboratory Course Code: 310257
Co. No. Course Outcomes
CO1 Understand the importance of website planning and website design issues
CO2 Apply the client side and server side technologies for web application development
CO3 Analyze the web technology languages, frameworks and services
CO4 Create three tier web based applications
Course :Laboratory Practice II Course Code:310258
Co. No. Course Outcomes
CO1 Design a system using different informed search / uninformed search or heuristic approaches
CO2 Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning
CO3 Design and develop an interactive AI application
CO4 Use tools and techniques in the area of Information Security
CO5 Use the cryptographic techniques for problem solving
CO6 Design and develop security solution
BE Sem-I Course : Design and Analysis of Algorithms Course Code: 410241
Co. No. Course Outcomes
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
CO5 Analyze and Apply Scheduling and Sorting Algorithms
CO6 Solve problems for multi-core or distributed or concurrent environments
Course :Machine Learning Course Code: 410242
Co. No. Course Outcomes
CO1 Identify the needs and challenges of machine learning for real time applications.
CO2 Apply various data pre-processing techniques to simplify and speed up machine learning algorithms
CO3 Select and apply appropriately supervised machine learning algorithms for real time applications
CO4 Implement variants of multi-class classifier and measure its performance.
CO5 Compare and contrast different clustering algorithms.
CO6 Design a neural network for solving engineering problems
Course: Blockchain Technology Code: 410243
Co. No. Course Outcomes
CO1 Interpret the fundamentals and basic concepts in Blockchain
CO2 Compare the working of different blockchain platforms
CO3 Use Crypto wallet for cryptocurrency based transactions
CO4 Analyze the importance of blockchain in finding the solution to the real-world problems.
CO5 Illustrate the Ethereum public block chain platform
CO6 Identify relative application where block chain technology can be effectively used andimplemented.
Course : Elective-III (Cyber Security and Digital Forensics) Course Code: 410244(C)
Co. No. Course Outcomes
CO1 Analyze threats in order to protect or defend it in cyberspace from cyber-attacks.
CO2 Build appropriate security solutions against cyber-attacks.
CO3 Underline the need of digital forensic and role of digital evidences.
CO4 Explain rules and types of evidence collection
CO5 Analyze, validate and process crime scenes
CO6 Identify the methods to generate legal evidence and supporting investigation reports.
Course : Elective-IV (Software Testing and Quality Assurance) Course Code: 410245D
Co. No. Course Outcomes
CO1 Describe fundamental concepts in software testing such as manual testing, automation testingand software quality assurance
CO2 Design and Develop project test plan, design test cases, test data, and conduct test operations.
CO3 Apply recent automation tool for various software testing for testing software.
CO4 Apply different approaches of quality management, assurance, and quality standard to softwaresystem
CO5 Apply and analyze effectiveness Software Quality Tools.
CO6 Apply tools necessary for efficient testing framework
Course : Laboratory Practice III Course Code: 410246
CO1 Apply preprocessing techniques on datasets.
CO2 Implement and evaluate linear regression and random forest regression models.
CO3 Apply and evaluate classification and clustering techniques.
CO4 Analyze performance of an algorithm.
CO5 Implement an algorithm that follows one of the following algorithm design strategies: divide and conquer, greedy, dynamic programming, backtracking, branch and bound
CO6 Interpret the basic concepts in Blockchain technology and its applications
Course : Laboratory Practice IV Course Code: 410247
CO1 Apply android application development for solving real life problems
CO2 Design and develop system using various multimedia components.
CO3 Identify various vulnerabilities and demonstrate using various tools.
CO4 Apply information retrieval tools for natural language processing
CO5 Develop an application using open source GPU programming languages
CO6 Apply software testing tools to perform automated testing
Course : Project Work Stage I Course Code: 410248
CO1 · Solve real life problems by applying knowledge.
CO2 · Analyze alternative approaches, apply and use most appropriate one for feasible solution.
CO3 · Write precise reports and technical documents in a nutshell.
CO4 · Participate effectively in multi-disciplinary and heterogeneous teams exhibiting team work
CO5 Inter-personal relationships, conflict management and leadership quality
BE Sem-II Course : High Performance Computing Code: 410250
Co. No. Course Outcomes
CO1 : Understand various Parallel Paradigm
CO2 : Design and Develop an efficient parallel algorithm to solve given problem
CO3 Illustrate data communication operations on various parallel architecture
CO4 Analyze and measure performance of modern parallel computing systems
CO5 Apply CUDA architecture for parallel programming
CO6 Analyze the performance of HPC applications
Course : Deep Learning Course Code: 410251
Co. No. Course Outcomes
CO1 Understand the basics of Deep Learning and apply the tools to implement deep learningapplications
CO2 Evaluate the performance of deep learning models (e.g., with respect to the bias-variance trade- off, overfitting and underfitting, estimation of test error).
CO3 To apply the technique of Convolution (CNN) and Recurrent Neural Network (RNN) forimplementing Deep Learning models
CO4 To implement and apply deep generative models.
CO5 Construct and apply on-policy reinforcement learning algorithms
CO6 To Understand Reinforcement Learning Process
Course :Elective-V (Software Defined Networks) Course Code: 410252C
Co. No. Course Outcomes
CO1 Interpret the need of Software Defined networking solutions
CO2 Analyze different methodologies for sustainable Software Defined Networkingsolutions
CO3 Select best practices for design, deploy and troubleshoot of next generation networks.
CO4 Develop programmability of network elements.
CO5 Demonstrate virtualization and SDN Controllers using Open Flow protocol
CO6 Design and develop various applications of SDN
Course : Elective-VI Business Intelligence) Course Code: 410253C
Co. No. Course Outcomes
CO1 Differentiate the concepts of Decision Support System & Business Intelligence
CO2 Use Data Warehouse & Business Architecture to design a BI system.
CO3 :Build graphical reports
CO4 Apply different data preprocessing techniques on dataset
CO5 Implement machine learning algorithms as per business needs
CO6 Identify role of BI in marketing, logistics, and finance and telecommunication sector
Course :Laboratory Practice V Course Code: 410255
CO1 Analyze and measure performance of sequential and parallel algorithms.
CO2 Design and Implement solutions for multicore/Distributed/parallel environment
CO3 Identify and apply the suitable algorithms to solve AI/ML problems
CO4 Apply the technique of Deep Neural network for implementing Linear regression andclassification.
CO5 Apply the technique of Convolution (CNN) for implementing Deep Learning models.
CO6 Design and develop Recurrent Neural Network (RNN) for prediction
Course :Laboratory Practice V Course Code: 410256
CO1 Apply basic principles of elective subjects to problem solving and modeling.
CO2 Use tools and techniques in the area of software development to build mini projects
CO3 Design and develop applications on subjects of their choice
CO4 Generate and manage deployment, administration & security.
Course : Project Work Stage II Course Code: 410256
CO1 Show evidence of independent investigation
CO2 Critically analyze the results and their interpretation
CO3 Report and present the original results in an orderly way and placing the open questions in the right perspective
CO4 Link techniques and results from literature as well as actual research and future research lines with the research
CO5 Appreciate practical implications and constraints of the specialist subject

CESA TEAM FOR A.Y. – 2022-23

Sr. No. Post Name of students
1 President Mr. Durvesh Patil
2 Vice president Mr. Gourav Arsule
3 Ladies representative Ms. Sakshi Nagre
4 Treasurer Ms. Dnyaneshwari Harde
5 Secretory Mr. Abhishek Dhatrak
6 Joint Secretory Mr. Bhavesh Patil
7 Cultural Coordinator Ms. Sakshi Borse
8 Discipline coordinator Ms. Kshitija Gholap

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