Department of Info

Vision and Mission

Vision

To develop globally competent IT professionals for sustainable growth of humanity

Mission

To build a strong foundation and techniques for problem-solving and inculcate communication skills as an integral component of Information Technology
Develop competency skills in the faculty members and students to serve the societal challenges and needs in lieu of its multidisciplinary applications in the field of Information Technology
Encourage development of strong technical skills and knowledge and to encourage students to undergo research in the field of Information Technology
Nurture students to become ethical and committed lifelong IT professionals
Empower students with strong decision-making skills and technical competency to accomplish start-up ideas in the field of IT Engineering.

Department of Information Technology

UG Degree course offered

B. E. (Information Technology)

UG Course Duration

4 years

UG Year of Establishment

1999

UG Intake

180

Approved by

AICTE, New Delhi

NBA Accredited

NBA Accreditation letter 2023,2013 and 2005

NBA Accreditation Letter- 2023
NBA Accreditation Letter- 2005
BA Accreditation Letter- 2013

Affilliated to

Savitribai Phule Pune University

DYPCOE was one of the four colleges to start Information Technology course under Savitribai Phule Pune University. Information Technology Department started with intake of 30 in 1999. First batch passed out in 2003. Intake increased to 60 in 2000 and 90 in 2001 and 120 in 2011. IT program conducted by department is of international standard. About 870 students passed out and all are well placed in IT industry. Department is second time accredited by NBA-AICTE in 2013 for the period of 2 years

The Department of Information Technology aims at imparting quality education in the realm of IT, Software Engineering & Domain Specific Application with an objective to enhance and expand the knowledge and skill sets of target students, so that they can contribute in the betterment of Society at large. The department of Information Technology was established with the objective of producing highly proficient technocrats who can meet the standards of the corporate. The department purports to have dexterous mentors adept at molding the student talent pool. A team of well qualified faculty navigates issuing priceless guidance and tapping the potential of students.

It is estimated that a huge number of IT professionals will be needed in India five years down the line in keeping with the global trend. Indian professionals are respected across the world for their IT-related skills. Our focus in this department is not only on completing the curriculum to pass the examinations but we also try to keep up with the developments in the technology and expose the students to the latest to ensure that they are able to cope up with the fast changing IT scenario.

The Department is in purpose-built accommodation, and is equipped with teaching and office space as well as well equipped laboratories for computer-based teaching. In addition, we have well established Computer labs. All faculty of Department are members of various professional societies and technical bodies like IEEE, ACM, CSI, ISTE, IACSIT etc. We have signed MOU with Zensar Technologies for student exchange and projects. Our department is also a member of EMC2 Academic Alliance collaboration with colleges and universities for “Preparing the next generation of IT professionals”.

We are proud to state that our Department has given better placement with good package to the students till date and is running to the Centre of Excellence which conducts number of value added courses for the knowledge and skills up gradation of the students to cater the need of current corporate scenario.

COs

Course Outcome for Semester I A Y 2023-24:

Sr. No.	Subjects of Sem I
Class: SE	Subject: Discrete Mathematics
1	Formulate and identify formal proof techniques to solve the problems with logical reasoning.
2	Solve the combinatorial problems by using concept of probability theory
3	Solve the problems using Min cut Max flow algorithms , traveling salesman problems
4	Compare various types of relations and functions to provide solution to computational problems
5	Select appropriate techniques of number theory to solve problems.
6	Compare fundamental algebraic structures
Class: SE	Subject: Object Oriented Programming
1	Understand and compare different programming paradigm with OOP basic fundamentals
2	Identify Identify OOPs concepts and apply it to model real-world problems
3	Identify and apply constructors and destructors in object oriented problem statements.
4	Use of inheritance and polymorphism principles in real world problems
5	Identify errors and exceptions, use of generic programming and solve the problem during runtime execution
6	Apply design patterns and use of file systems for different problem solutions
Class: SE	Subject: Data Structures and Algorithms
1	Perform Perform basic analysis of algorithms with respect to time and space complexity and explore different linear data structures
2	Select appropriate searching and/or sorting techniques in the application development
3	Apply and implement algorithm to illustrate use of linear data structures such as stack, queue
4	Apply and implement algorithms to create/represent and traverse trees (non-linear data structures)
5	Design solution for finding shortest/minimum path in complex network and searching/sorting using nonlinear data structures
6	Evaluate different hashing functions and Construct solution for accessing data from a sequential file.
Class: SE	Subject: Logic Design and Computer Organization
1	Perform basic binary arithmetic & simplify logic expressions
2	Grasp the operations of logic ICs and Implement combinational logic functions using ICs.
3	Comprehend the operations of basic memory cell types and Implement sequential logic functions using ICs
4	Elucidate the functions & organization of various blocks of CPU.8
5	Understand CPU instruction characteristics, enhancement features of CPU
6	Describe an assortment of memory types (with their characteristics) used in computer systems and basic principle of interfacing input, output devices
Class: SE	Subject: Basics of Computer Network
1	Understand the basic communication topics for computer network such as signals, topologies along with OSI and TCP/IP Model
2	Understand and analyze data link layer services, Error detection, correction and data link control techniques
3	Investigate and illustrate different Access mechanism and compare Ethernet standards
4	Illustrate and analyze Network Layer services and addressing techniques
5	Compare different routing protocols for network layer
6	Illustrate and analyze transport layer services and protocols x and analyze transport layer services and protocols
Class: TE	Subject: Theory of Computation
1	Identify the different computational problems that needs finite automata and different computational machines, understand them and Construct finite automata and its variants to solve computing problems
2	Write regular expressions for the regular languages and finite automata
3	Identify types of grammar, design and simplify Context Free Grammar
4	Construct Pushdown Automata machine for the Context Free Language
5	Design and analyze Turing machines for formal languages
6	Understand decidable and undecidable problems, analyze complexity classes
Class: TE	Subject: Operating Systems
1	Explain the role of Modern Operating Systems
2	Apply the concepts of process and thread scheduling
3	Illustrate Illustrate the concept of process synchronization, mutual exclusion and the deadlock
4	Implement the concepts of various memory management techniques
5	Make use of concept of I/O management and File system
6	Understand Importance of System software
Class: TE	Subject: Machine Learning
1	Identify and Apply basic concepts of machine learning and differentiate types of machine learning algorithms.
2	Differentiate and apply suitable regression techniques and evaluate their performances
3	Compare different types of classification models apply suitable classification model and evaluate their performances
4	Illustrate the tree-based and probabilistic machine learning algorithms
5	Identify different unsupervised learning algorithms for the related real-world problems
6	Apply fundamental concepts of ANN
Class: TE	Subject: Human Computer Interaction
1	Explain the importance of HCI study and principles of user-centered design (UCD) approach
2	Develop understanding of human factors in HCI design
3	Understand models, paradigms and context of interactions
4	Design & implement effective user-interfaces following a structured and organized UCD process
5	Evaluate & apply usability of a user-interface design
6	Apply cognitive models for predicting human-computer-interactions
Class: TE	Subject: Design and Analysis of Algorithm
1	Calculate computational complexity using asymptotic notations for various algorithms
2	Apply Divide & Conquer as well as Greedy approach to design algorithms
3	Understand and analyze optimization problems using dynamic programming
4	Illustrate different problems using Backtrackings
5	Compare different methods of Branch and Bound strategy
6	Classify P, NP, NP-complete, NP-Hard problems
Class: BE	Subject: Information Storage and Retrieval
1	Understand the concept of Information retrieval and to apply clustering in information retrieval.
2	Use an indexing approach for retrieval of text and multimedia data.
3	Evaluate performance of information retrieval systems.
4	Apply the concepts of multimedia and distributed information retrieval.
5	Use appropriate tools in analyzing the web information
6	Simulate the working of a search engine and recommender system.
Class: BE	Subject: Software Project Management
1	Apply the practices and methods for successful Software Project Management
2	Create Design and Evaluate Project
3	Analyze Project Schedule and calculate Risk Management with help of tools.
4	Demonstrate different tools used for Project Tracking, Monitoring & Control.
5	Identify Staff Selection Process and the issues related to Staff Management.
6	Discuss and use modern tools for Software Project Management.
Class: BE	Subject: Deep Learning
1	Understand the theoretical foundations, algorithms, and methodologies of Deep Learning
2	Apply the concepts of Convolution Neural Networks and use of popular CNN architectures.
3	Compare Feed Forward Neural Network and Recurrent Neural Network and learn modeling the time dimension using RNN and LSTM
4	Elaborate unsupervised deep learning algorithms like Autoencoders.
5	Explore Representation Learning and Transfer Learning techniques using variants of CNN architecture
6	Evaluate the performance of deep learning algorithms and to provide solution for various real-world applications.
Class: BE	Subject: Elective – III (Mobile Computing)
1	Understand the basic concepts of mobile computing, MAC and different multiplexing technics.
2	Understand Protocols, Connection Establishment, Frequency Allocation, Routing of mobile telecommunication system like GSM, GPRS, UMTS.
3	Understand the Generations of Mobile Communication Technologies
4	Get learn mobile IP , Adhoc – Network, Reactive Routing protocols, Multicast Routing
5	Obtaining knowledge of transport layer protocol TCP, File System, and different application layer protocols.
6	Gain knowledge about different mobile platforms, operating Systems, Software Development Kit, Security Issues
Class: BE	Subject: Elective – IV (Introduction to DevOps)
1	Understand the fundamental concepts of DevOps
2	Link the background of DevOps with other technologies
3	Comprehend the concept of continuous integration and continuous delivery
4	Compare various stages of continuous deployment and test strategies
5	Justify the importance of monitoring system and reliability engineering
6	Use the latest tools in DevOps

Course Outcome for Semester II A Y 2022-23:

Sr. No.	Subjects of Sem II
Class: SE	Subject: Computer Graphics
1	Apply mathematics and logics to develop computer programs for elementary graphics operations
2	Apply polygon filling algorithms for 2D objects
3	Apply geometrical transformation techniques to produce, position and manipulate objects in 2 dimensional and 3 dimensional space
4	Describe mapping from world coordinates to device coordinates, clipping, and projections in order to produce 3D images on 2D output devices
5	Apply concepts of rendering, shading, animation, curves and fractals using computer graphics tools in design, development and testing of 2D, 3D modeling applications
6	Comprehend the concepts of virtual reality
Class: SE	Subject: Database Management System
1	Correlate fundamental elements of database management systems with the real world
2	Design ER-models to represent simple database application scenarios
3	Formulate SQL queries on data for relational databases
4	Improve the database design by normalization & to incorporate query processing
5	Analyze ACID properties for transaction management and concurrency control
6	Analyze various database architectures and technologies
Class: SE	Subject: Engineering Mathematics III
1	Solve Linear differential equations, essential in modelling and design of computer-based systems
2	Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing
3	Apply Statistical methods like correlation& regression analysis and probability theory for data analysis and predictions in machine learning
4	Solve Algebraic &Transcendental equations and System of linear equations using numerical techniques
5	Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing
Class: SE	Subject: Processor Architecture
1	Apprehend architecture and memory organization of PIC 18 Micro-controller
2	Implement embedded C programming for PIC 18
3	Use concepts of timers and interrupts of PIC 18
4	Demonstrate Demonstrate real life applications using PIC 18
5	Analyze Analyze architectural details of ARM processor
Class: SE	Subject: Software Engineering
1	Compare different software process models and frameworks with recent Agile methodology
2	Analyze and Compare different requirement analysis models with Software requirement specification document
3	Analyze and Design models based on requirement gathering and analysis using component level design
4	Analyze and Apply project planning, estimation and management to any project
5	Apply and Analyze testing strategies on different parts of SDLC Cycle with testing quality attributes of any project
6	Compare recent trends in software engineering such as CASE and Agile tools
Class: TE	Subject: Computer Network Security
1	Apply the knowledge of application layer protocols like DHCP to configure Router and retrieve information
2	Configure servers by demonstrating different servers with their applications. Distinguish between different wireless technologies and IEEE standards 802.11, 802.16
3	Analyze Routing Protocols for Ad-hoc Wireless Networks and Implement wireless sensor network
4	Identify network security threats such as unauthorized access, denial of services attack, man in middle attack etc. Also compare various encryption algorithms and create cipher codes
5	Developing applications by choosing basic cryptographic techniques digital signature, RSA, Diffie Hellman etc.
6	Build appropriate security solutions against cyber-attacks
Class: TE	Subject: Data Science and Big Data Analysis
1	Understand Big Data primitives and use in real World problems
2	Learn , apply and examine different mathematical models for Big Data analytics
3	Demonstrate Big Data learning skills by developing industry or research applications
4	Analyze and apply each learning model comes from a different algorithmic approach and it will perform differently under different datasets
5	Understand , apply and analyze needs, challenges and techniques for big data visualization
6	Learn different programming platforms for big data analytics and apply in different big data use cases
Class: TE	Subject: Elective-II (Cloud Computing )
1	Examine fundamental concepts and technologies of cloud computing environments
2	Illustrate various aspects of the virtualization and cloud enabling technologies and also learn to implement them
3	Analyze various cloud programming models and apply them to solve problems on the cloud
4	Explain data storage and Analyze major security issues in the cloud
5	Examine recent trends in ubiquitous cloud for IoT
6	Analyze the future cloud computing also identify how cloud will change OS
Class: TE	Subject: Web Application Development
1	Create Static and Dynamic websites using technologies like HTML, CSS, Bootstrap
2	Develop web based application using suitable client side and server side web technologies
3	Create web application by using the knowledge of Front End & Back End Technologies
4	Develop Develop mobile website using JQuery Mobile
5	Design and deploy web application on cloud using AWS
6	Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management
Class: BE	Subject: Distributed Computing System
1	Demonstrate the core concepts of distributed systems.
2	Understand the concept of middleware of distributed systems.
3	Understand Inter-process communication methods and analyze different coordination algorithms.
4	Comprehend the importance of replication to achieve fault tolerance in distributed systems.
5	Analyze the design and functioning of existing distributed file systems, distributed multimedia, and distributed web-based systems.
6	Understand various Recent Trends in distributed systems
Class: BE	Subject: Elective V (Game Engineering)
1	Describe fundamentals of game engineering and the social- ethical issues in game development.
2	Develop creative and critical thinking skills for designing compelling games.
3	Apply game mechanics to make game more enjoyable.
4	Analyze Games over Networks and Peer Effects.
5	Demonstrate an understanding of various tools that are used in game development.
6	Apply mathematical and game programming knowledge and skills to solve development tasks.
Class: BE	Subject: Elective-VI (Blockchain Technology)
1	Understand the concept of cryptography and decentralization.
2	Acquire fundamental knowledge of blockchain with issues associated with it. Classify different architecture and design of IoT
3	Acquire knowledge of Ethereum blockchain platform.
4	Understand hyper ledger fabric platform.
5	Acquire the knowledge regarding working of tokenization.
6	Describe the applications and risk involved

Course Outcome for Semester I A Y 2022-23:

Sr. No.	Subjects of Sem I
Class: SE	Subject: Discrete Mathematics
1	Formulate and identify formal proof techniques to solve the problems with logical reasoning.
2	Solve the combinatorial problems by using concept of probability theory
3	Solve the problems using Min cut Max flow algorithms , traveling salesman problems
4	Compare various types of relations and functions to provide solution to computational problems
5	Select appropriate techniques of number theory to solve problems.
6	Compare fundamental algebraic structures
Class: SE	Subject: Object Oriented Programming
1	Understand and compare different programming paradigm with OOP basic fundamentals
2	Identify Identify OOPs concepts and apply it to model real-world problems
3	Identify and apply constructors and destructors in object oriented problem statements.
4	Use of inheritance and polymorphism principles in real world problems
5	Identify errors and exceptions, use of generic programming and solve the problem during runtime execution
6	Apply design patterns and use of file systems for different problem solutions
Class: SE	Subject: Data Structures and Algorithms
1	Perform Perform basic analysis of algorithms with respect to time and space complexity and explore different linear data structures
2	Select appropriate searching and/or sorting techniques in the application development
3	Apply and implement algorithm to illustrate use of linear data structures such as stack, queue
4	Apply and implement algorithms to create/represent and traverse trees (non-linear data structures)
5	Design solution for finding shortest/minimum path in complex network and searching/sorting using nonlinear data structures
6	Evaluate different hashing functions and Construct solution for accessing data from a sequential file.
Class: SE	Subject: Logic Design and Computer Organization
1	Perform basic binary arithmetic & simplify logic expressions
2	Grasp the operations of logic ICs and Implement combinational logic functions using ICs.
3	Comprehend the operations of basic memory cell types and Implement sequential logic functions using ICs
4	Elucidate the functions & organization of various blocks of CPU.8
5	Understand CPU instruction characteristics, enhancement features of CPU
6	Describe an assortment of memory types (with their characteristics) used in computer systems and basic principle of interfacing input, output devices
Class: SE	Subject: Basics of Computer Network
1	Understand the basic communication topics for computer network such as signals, topologies along with OSI and TCP/IP Model
2	Understand and analyze data link layer services, Error detection, correction and data link control techniques
3	Investigate and illustrate different Access mechanism and compare Ethernet standards
4	Illustrate and analyze Network Layer services and addressing techniques
5	Compare different routing protocols for network layer
6	Illustrate and analyze transport layer services and protocols x and analyze transport layer services and protocols
Class: TE	Subject: Theory of Computation
1	Identify the different computational problems that needs finite automata and different computational machines, understand them and Construct finite automata and its variants to solve computing problems
2	Write regular expressions for the regular languages and finite automata
3	Identify types of grammar, design and simplify Context Free Grammar
4	Construct Pushdown Automata machine for the Context Free Language
5	Design and analyze Turing machines for formal languages
6	Understand decidable and undecidable problems, analyze complexity classes
Class: TE	Subject: Operating Systems
1	Explain the role of Modern Operating Systems
2	Apply the concepts of process and thread scheduling
3	Illustrate Illustrate the concept of process synchronization, mutual exclusion and the deadlock
4	Implement the concepts of various memory management techniques
5	Make use of concept of I/O management and File system
6	Understand Importance of System software
Class: TE	Subject: Machine Learning
1	Identify and Apply basic concepts of machine learning and differentiate types of machine learning algorithms.
2	Differentiate and apply suitable regression techniques and evaluate their performances
3	Compare different types of classification models apply suitable classification model and evaluate their performances
4	Illustrate the tree-based and probabilistic machine learning algorithms
5	Identify different unsupervised learning algorithms for the related real-world problems
6	Apply fundamental concepts of ANN
Class: TE	Subject: Human Computer Interaction
1	Explain the importance of HCI study and principles of user-centered design (UCD) approach
2	Develop understanding of human factors in HCI design
3	Understand models, paradigms and context of interactions
4	Design & implement effective user-interfaces following a structured and organized UCD process
5	Evaluate & apply usability of a user-interface design
6	Apply cognitive models for predicting human-computer-interactions
Class: TE	Subject: Design and Analysis of Algorithm
1	Calculate computational complexity using asymptotic notations for various algorithms
2	Apply Divide & Conquer as well as Greedy approach to design algorithms
3	Understand and analyze optimization problems using dynamic programming
4	Illustrate different problems using Backtrackings
5	Compare different methods of Branch and Bound strategy
6	Classify P, NP, NP-complete, NP-Hard problems.
Class: BE	Subject: Information Storage and Retrieval
1	Understand the concept of Information retrieval and to apply clustering in information retrieval.
2	Use an indexing approach for retrieval of text and multimedia data.
3	Evaluate performance of information retrieval systems.
4	Apply the concepts of multimedia and distributed information retrieval.
5	Use appropriate tools in analyzing the web information
6	Simulate the working of a search engine and recommender system.
Class: BE	Subject: Software Project Management
1	Apply the practices and methods for successful Software Project Management
2	Create Design and Evaluate Project
3	Analyze Project Schedule and calculate Risk Management with help of tools.
4	Demonstrate different tools used for Project Tracking, Monitoring & Control.
5	Identify Staff Selection Process and the issues related to Staff Management.
6	Discuss and use modern tools for Software Project Management.
Class: BE	Subject: Deep Learning
1	Understand the theoretical foundations, algorithms, and methodologies of Deep Learning
2	Apply the concepts of Convolution Neural Networks and use of popular CNN architectures.
3	Compare Feed Forward Neural Network and Recurrent Neural Network and learn modeling the time dimension using RNN and LSTM
4	Elaborate unsupervised deep learning algorithms like Autoencoders.
5	Explore Representation Learning and Transfer Learning techniques using variants of CNN architecture
6	Evaluate the performance of deep learning algorithms and to provide solution for various real-world applications.
Class: BE	Subject: Elective – III (Mobile Computing)
1	understand the basic concepts of mobile computing, MAC and different multiplexing technics.
2	understand Protocols, Connection Establishment, Frequency Allocation, Routing of mobile telecommunication system like GSM, GPRS, UMTS.
3	understand the Generations of Mobile Communication Technologies
4	Get learn mobile IP , Adhoc – Network, Reactive Routing protocols, Multicast Routing
5	obtaining knowledge of transport layer protocol TCP, File System, and different application layer protocols.
6	gain knowledge about different mobile platforms, operating Systems, Software Development Kit, Security Issues
Class: BE	Subject: Elective – IV (Introduction to DevOps)
1	Understand the fundamental concepts of DevOps
2	Link the background of DevOps with other technologies
3	Comprehend the concept of continuous integration and continuous delivery
4	Compare various stages of continuous deployment and test strategies
5	Justify the importance of monitoring system and reliability engineering
6	Use the latest tools in DevOps

Course Outcome for Semester II A Y 2022-23:

Sr. No.	Subjects of Sem II
Class: SE	Subject: Computer Graphics
1	Apply mathematics and logics to develop computer programs for elementary graphics operations
2	Apply polygon filling algorithms for 2D objects
3	Apply geometrical transformation techniques to produce, position and manipulate objects in 2 dimensional and 3 dimensional space
4	Describe mapping from world coordinates to device coordinates, clipping, and projections in order to produce 3D images on 2D output devices
5	Apply concepts of rendering, shading, animation, curves and fractals using computer graphics tools in design, development and testing of 2D, 3D modeling applications
6	Comprehend the concepts of virtual reality
Class: SE	Subject: Database Management System
1	Correlate fundamental elements of database management systems with the real world
2	Design ER-models to represent simple database application scenarios
3	Formulate SQL queries on data for relational databases
4	Improve the database design by normalization & to incorporate query processing
5	Analyze ACID properties for transaction management and concurrency control
6	Analyze various database architectures and technologies
Class: SE	Subject: Engineering Mathematics III
1	Solve Linear differential equations, essential in modelling and design of computer-based systems
2	Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing
3	Apply Statistical methods like correlation& regression analysis and probability theory for data analysis and predictions in machine learning
4	Solve Algebraic &Transcendental equations and System of linear equations using numerical techniques
5	Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing
Class: SE	Subject: Processor Architecture
1	Apprehend architecture and memory organization of PIC 18 Micro-controller
2	Implement embedded C programming for PIC 18
3	Use concepts of timers and interrupts of PIC 18
4	Demonstrate Demonstrate real life applications using PIC 18
5	Analyze Analyze architectural details of ARM processor
Class: SE	Subject: Software Engineering
1	Compare different software process models and frameworks with recent Agile methodology
2	Analyze and Compare different requirement analysis models with Software requirement specification document
3	Analyze and Design models based on requirement gathering and analysis using component level design
4	Analyze and Apply project planning, estimation and management to any project
5	Apply and Analyze testing strategies on different parts of SDLC Cycle with testing quality attributes of any project
6	Compare recent trends in software engineering such as CASE and Agile tools
Class: TE	Subject: Computer Network Security
1	Apply the knowledge of application layer protocols like DHCP to configure Router and retrieve information
2	Configure servers by demonstrating different servers with their applications. Distinguish between different wireless technologies and IEEE standards 802.11, 802.16
3	Analyze Routing Protocols for Ad-hoc Wireless Networks and Implement wireless sensor network
4	Identify network security threats such as unauthorized access, denial of services attack, man in middle attack etc. Also compare various encryption algorithms and create cipher codes
5	Developing applications by choosing basic cryptographic techniques digital signature, RSA, Diffie Hellman etc.
6	Build appropriate security solutions against cyber-attacks
Class: TE	Subject: Data Science and Big Data Analysis
1	Understand Big Data primitives and use in real World problems
2	Learn , apply and examine different mathematical models for Big Data analytics
3	Demonstrate Big Data learning skills by developing industry or research applications
4	Analyze and apply each learning model comes from a different algorithmic approach and it will perform differently under different datasets
5	Understand , apply and analyze needs, challenges and techniques for big data visualization
6	Learn different programming platforms for big data analytics and apply in different big data use cases
Class: TE	Subject: Elective-II (Cloud Computing )
1	Examine fundamental concepts and technologies of cloud computing environments
2	Illustrate various aspects of the virtualization and cloud enabling technologies and also learn to implement them
3	Analyze various cloud programming models and apply them to solve problems on the cloud
4	Explain data storage and Analyze major security issues in the cloud
5	Examine recent trends in ubiquitous cloud for IoT
6	Analyze the future cloud computing also identify how cloud will change OS
Class: TE	Subject: Web Application Development
1	Create Static and Dynamic websites using technologies like HTML, CSS, Bootstrap
2	Develop web based application using suitable client side and server side web technologies
3	Create web application by using the knowledge of Front End & Back End Technologies
4	Develop Develop mobile website using JQuery Mobile
5	Design and deploy web application on cloud using AWS
6	Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management
Class: BE	Subject: Distributed Computing System
1	Explore the principles and desired properties of distributed systems based on different application areas
2	Understand and Apply the basic theoretical concepts and algorithms of distributed systems in problem solving
3	Explain fault tolerance in Distributed Systems
4	Explore Multimedia and Security concepts in Distributed Systems
5	Demonstrate Distributed Web Based System
6	Identify the challenges in developing distributed applications
Class: BE	Subject: Ubiquitous Computing
1	Demonstrate the knowledge of design of Ubicomp and its applications
2	Explain smart devices and services used Ubicomp
3	Discover the significance of actuators and controllers in real time application design
4	Use the concept of HCI to understand the design of automation applications
5	Classify Ubicomp privacy and explain the challenges associated with Ubicomp privacy
6	Illustrate the knowledge of ubiquitous and service oriented networks along with Ubicomps Management
Class: BE	Subject: Elective III (Internet of Things)
1	Explore fundamentals of Internet of Things
2	Classify different architecture and design of IoT
3	Perceive different objects of IoT
4	Elaborate networking technologies for IoT
5	Discuss Exemplary devices ,servers and cloud offerings in IoT
6	Develop real time applications using IoT
Class: BE	Subject: Elective IV(Social Media Analytics)
1	Understand the basics of Social Media Analytics
2	Explain the significance of Data mining in Social media
3	Demonstrate the algorithms used for text mining
4	Apply network measures for social media data
5	Explain Behavior Analytics techniques used for social media data
6	Apply social media analytics for Face book and Twitter kind of applications

Course Outcome for Semester II A Y 2021-22:

Sr. No.	Subjects of Sem II
Class: SE	Subject: Computer Graphics
1	Apply mathematics and logics to develop computer programs for elementary graphics operations
2	Apply polygon filling algorithms for 2D objects
3	Apply geometrical transformation techniques to produce, position and manipulate objects in 2 dimensional and 3 dimensional space
4	Describe mapping from world coordinates to device coordinates, clipping, and projections in order to produce 3D images on 2D output devices
5	Apply concepts of rendering, shading, animation, curves and fractals using computer graphics tools in design, development and testing of 2D, 3D modeling applications
6	Comprehend the concepts of virtual reality
Class: SE	Subject: Database Management System
1	Correlate fundamental elements of database management systems with the real world
2	Design ER-models to represent simple database application scenarios
3	Formulate SQL queries on data for relational databases
4	Improve the database design by normalization & to incorporate query processing
5	Analyze ACID properties for transaction management and concurrency control
6	Analyze various database architectures and technologies
Class: SE	Subject: Engineering Mathematics III
1	Solve Linear differential equations, essential in modelling and design of computer-based systems
2	Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing
3	Apply Statistical methods like correlation& regression analysis and probability theory for data analysis and predictions in machine learning
4	Solve Algebraic &Transcendental equations and System of linear equations using numerical techniques
5	Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing
Class: SE	Subject: Processor Architecture
1	Apprehend architecture and memory organization of PIC 18 Micro-controller
2	Implement embedded C programming for PIC 18
3	Use concepts of timers and interrupts of PIC 18
4	Demonstrate Demonstrate real life applications using PIC 18
5	Analyze Analyze architectural details of ARM processor
Class: SE	Subject: Software Engineering
1	Compare different software process models and frameworks with recent Agile methodology
2	Analyze and Compare different requirement analysis models with Software requirement specification document
3	Analyze and Design models based on requirement gathering and analysis using component level design
4	Analyze and Apply project planning, estimation and management to any project
5	Apply and Analyze testing strategies on different parts of SDLC Cycle with testing quality attributes of any project
6	Compare recent trends in software engineering such as CASE and Agile tools
Class: TE	Subject: Computer Network Security
1	Apply the knowledge of application layer protocols like DHCP to configure Router and retrieve information
2	Configure servers by demonstrating different servers with their applications. Distinguish between different wireless technologies and IEEE standards 802.11, 802.16
3	Analyze Routing Protocols for Ad-hoc Wireless Networks and Implement wireless sensor network
4	Identify network security threats such as unauthorized access, denial of services attack, man in middle attack etc. Also compare various encryption algorithms and create cipher codes
5	Developing applications by choosing basic cryptographic techniques digital signature, RSA, Diffie Hellman etc.
6	Build appropriate security solutions against cyber-attacks
Class: TE	Subject: Data Science and Big Data Analysis
1	Understand Big Data primitives and use in real World problems
2	Learn , apply and examine different mathematical models for Big Data analytics
3	Demonstrate Big Data learning skills by developing industry or research applications
4	Analyze and apply each learning model comes from a different algorithmic approach and it will perform differently under different datasets
5	Understand , apply and analyze needs, challenges and techniques for big data visualization
6	Learn different programming platforms for big data analytics and apply in different big data use cases
Class: TE	Subject: Elective-II (Cloud Computing )
1	Examine fundamental concepts and technologies of cloud computing environments
2	Illustrate various aspects of the virtualization and cloud enabling technologies and also learn to implement them
3	Analyze various cloud programming models and apply them to solve problems on the cloud
4	Explain data storage and Analyze major security issues in the cloud
5	Examine recent trends in ubiquitous cloud for IoT
6	Analyze the future cloud computing also identify how cloud will change OS
Class: TE	Subject: Web Application Development
1	Create Static and Dynamic websites using technologies like HTML, CSS, Bootstrap
2	Develop web based application using suitable client side and server side web technologies
3	Create web application by using the knowledge of Front End & Back End Technologies
4	Develop Develop mobile website using JQuery Mobile
5	Design and deploy web application on cloud using AWS
6	Develop solution to complex problems using appropriate method, technologies, frameworks, web services and content management
Class: BE	Subject: Distributed Computing System
1	Explore the principles and desired properties of distributed systems based on different application areas
2	Understand and Apply the basic theoretical concepts and algorithms of distributed systems in problem solving
3	Explain fault tolerance in Distributed Systems
4	Explore Multimedia and Security concepts in Distributed Systems
5	Demonstrate Distributed Web Based System
6	Identify the challenges in developing distributed applications
Class: BE	Subject: Ubiquitous Computing
1	Demonstrate the knowledge of design of Ubicomp and its applications
2	Explain smart devices and services used Ubicomp
3	Discover the significance of actuators and controllers in real time application design
4	Use the concept of HCI to understand the design of automation applications
5	Classify Ubicomp privacy and explain the challenges associated with Ubicomp privacy
6	Illustrate the knowledge of ubiquitous and service oriented networks along with Ubicomps Management
Class: BE	Subject: Elective III (Internet of Things)
1	Explore fundamentals of Internet of Things
2	Classify different architecture and design of IoT
3	Perceive different objects of IoT
4	Elaborate networking technologies for IoT
5	Discuss Exemplary devices ,servers and cloud offerings in IoT
6	Develop real time applications using IoT
Class: BE	Subject: Elective IV(Social Media Analytics)
1	Understand the basics of Social Media Analytics
2	Explain the significance of Data mining in Social media
3	Demonstrate the algorithms used for text mining
4	Apply network measures for social media data
5	Explain Behavior Analytics techniques used for social media data
6	Apply social media analytics for Face book and Twitter kind of applications

Course Outcome for Semester I A Y 2021-22:

Sr. No.	Subjects of Sem I
Class: SE	Subject: Discrete Mathematics
1	Formulate and identify formal proof techniques to solve the problems with logical reasoning.
2	Solve the combinatorial problems by using concept of probability theory
3	Solve the problems using Min cut Max flow algorithms , traveling salesman problems
4	Compare various types of relations and functions to provide solution to computational problems
5	Select appropriate techniques of number theory to solve problems.
6	Compare fundamental algebraic structures
Class: SE	Subject: Object Oriented Programming
1	Understand and compare different programming paradigm with OOP basic fundamentals
2	Identify Identify OOPs concepts and apply it to model real-world problems
3	Identify and apply constructors and destructors in object oriented problem statementss
4	Use of inheritance and polymorphism principles in real world problems
5	Identify errors and exceptions, use of generic programming and solve the problem during runtime execution
6	Apply design patterns and use of file systems for different problem solutions
Class: SE	Subject: Data Structures and Algorithms
1	Perform Perform basic analysis of algorithms with respect to time and space complexity and explore different linear data structures
2	Select appropriate searching and/or sorting techniques in the application development
3	Apply and implement algorithm to illustrate use of linear data structures such as stack, queue
4	Apply and implement algorithms to create/represent and traverse trees (non-linear data structures)
5	Design solution for finding shortest/minimum path in complex network and searching/sorting using nonlinear data structures
6	Evaluate different hashing functions and Construct solution for accessing data from a sequential file.
Class: SE	Subject: Logic Design and Computer Organization
1	Perform basic binary arithmetic & simplify logic expressions
2	Grasp the operations of logic ICs and Implement combinational logic functions using ICs.
3	Comprehend the operations of basic memory cell types and Implement sequential logic functions using ICs
4	Elucidate the functions & organization of various blocks of CPU.8
5	Understand CPU instruction characteristics, enhancement features of CPU
6	Describe an assortment of memory types (with their characteristics) used in computer systems and basic principle of interfacing input, output devices
Class: SE	Subject: Basics of Computer Network
1	Understand the basic communication topics for computer network such as signals, topologies along with OSI and TCP/IP Model
2	Understand and analyse data link layer services, Error detection, correction and data link control techniques
3	Investigate and illustrate different Access mechanism and compare Ethernet standards
4	Illustrate and analyse Network Layer services and addressing techniques
5	Compare different routing protocols for network layer
6	Illustrate and analyse transport layer services and protocols x and analyse transport layer services and protocols
Class: TE	Subject: Theory of Computation
1	Identify the different computational problems that needs finite automata and different computational machines, understand them and Construct finite automata and its variants to solve computing problems
2	Write regular expressions for the regular languages and finite automata
3	Identify types of grammar, design and simplify Context Free Grammar
4	Construct Pushdown Automata machine for the Context Free Language
5	Design and analyze Turing machines for formal languages
6	Understand decidable and undecidable problems, analyze complexity classes
Class: TE	Subject: Operating Systems
1	Explain the role of Modern Operating Systems
2	Apply the concepts of process and thread scheduling
3	Illustrate Illustrate the concept of process synchronization, mutual exclusion and the deadlock
4	Implement the concepts of various memory management techniques
5	Make use of concept of I/O management and File system
6	Understand Importance of System software
Class: TE	Subject: Machine Learning
1	Identify and Apply basic concepts of machine learning and differentiate types of machine learning algorithmss
2	Differentiate and apply suitable regression techniques and evaluate their performances
3	Compare different types of classification models apply suitable classification model and evaluate their performances
4	Illustrate the tree-based and probabilistic machine learning algorithms
5	Identify different unsupervised learning algorithms for the related real-world problems
6	Apply fundamental concepts of ANN
Class: TE	Subject: Human Computer Interaction
1	Explain the importance of HCI study and principles of user-centered design (UCD) approach
2	Develop understanding of human factors in HCI design
3	Understand models, paradigms and context of interactions
4	Design & implement effective user-interfaces following a structured and organized UCD process
5	Evaluate & apply usability of a user-interface design
6	Apply cognitive models for predicting human-computer-interactions
Class: TE	Subject: Design and Analysis of Algorithm
1	Calculate computational complexity using asymptotic notations for various algorithms
2	Apply Divide & Conquer as well as Greedy approach to design algorithms
3	Understand and analyze optimization problems using dynamic programming
4	Illustrate different problems using Backtrackings
5	Compare different methods of Branch and Bound strategy
6	Classify P, NP, NP-complete, NP-Hard problemss
Class: BE	Subject: Information and Cyber Security
1	Use basic cryptographic techniques in application development
2	Apply Apply methods for authentication, access control, intrusion detection and prevention
3	Apply the scientific method to digital forensics and perform forensic investigations
4	Develop computer forensics awareness
5	Ability to use computer forensics tools
Class: BE	Subject: Machine Learning and Applications
1	Apply basic concepts of machine learning and different types of machine learning
2	Compare different types of classification models , apply suitable model and evaluate their performance
3	Differentiate various regression techniques and evaluate their performance
4	Illustrate the tree-based and different unsupervised learning algorithms for the related real-world probs
5	Identify different probabilistic model for the related real-world problems.
6	Apply fundamental concepts of ANN and ensemble learning
Class: BE	Subject: Software Design and Modeling
1	Understand object oriented methodologies, basics of Unified Modeling Language (UML)
2	Understand analysis process, use case modeling, domain/class modeling
3	Understand interaction and behavior modeling
4	Understand design process and business, access and view layer class design
5	Get started on study of GRASP principles and GoF design patterns
6	Get started on study of architectural design principles and guidelines in the various type of application development
Class: BE	Subject: Business Analytics and Intelligence
1	Comprehend the Information Systems and development approaches of Intelligent Systems
2	Evaluate and rethink business processes using information systems
3	Propose the Framework for business intelligence
4	Get acquainted with the Theories, techniques, and considerations for capturing organizational intelligence
5	Align business intelligence with business strategy
6	Applythe techniques for implementing business intelligence systems
Class: BE	Subject: Software Testing and Quality Assurance
1	Test the software by applying testing techniques to deliver a product free from bugs
2	Investigate the scenario and to select the proper testing technique
3	Explore the test automation concepts and tools and estimation of cost, schedule based on standard metrics
4	Apply different strategies to detect, classify, prevent and remove defects
5	Choose appropriate quality assurance models and develop quality
6	Ability to conduct formal inspections, record and evaluate results of inspections

POs

Program Outcomes :

Sr. No	Graduate Attributes	Program Outcomes
1	Engineering Knowledge	An ability to apply knowledge of computing, mathematics, science and engineering fundamentals appropriate to Computer Engineering.
2	Problem Analysis	An ability to define the problems and provide solutions by designing and conducting experiments, interpreting and analyzing data.
3	Design & Development of Solutions	An ability to design, implement and evaluate a system, process, component and program to meet desired needs within realistic constraints.
4	Investigation of Complex Problem	An ability to investigate, formulates, analyze and provide appropriate solution to the engineering problems.
5	Modern Tools Usage	An ability to use modern engineering tools and technologies necessary for engineering practices.
6	Engineer and Society	An ability to analyze the local and global impact of computing on individuals, organizations and society.
7	Environment & Sustainability	An ability to understand the environmental issues and provide the sustainable system.
8	Ethics	An ability to understand professional and ethical responsibility.
9	Individual & Team work	An ability to function effectively as an individual or as a team member to accomplish the goal.
10	Communication	An ability to communicate effectively at different levels.
11	Lifelong Learning	An ability to keep abreast with contemporary technologies through lifelong learning.
12	Project management & Finance	An ability to apply knowledge of principles of resource management and economics to provide better services in the field of Computer Engg.

PSOs

Program Specific Outcomes:

Apply design methodologies, application development tools, engineering skills in Software Engineering Domains and IT Application areas like Cloud Computing, Software Testing, Mobile App Development, etc.
Aspire to pursue Higher Education in the specialized fields of IT Engineering and management programs like Data science, Cyber Security, Artificial Intelligence, etc.
Formulate decision-making skills, IT Engineering skills, and knowledge to implement start-up ideas as an entrepreneur in the fields such as Cyber Security, Mobile Application Development, etc.
Devise to design, implement, and evaluate IT based software systems to serve the needs of society or IT industries at large.

PEOs

Program Educational Objectives:

Core Competency: To provide graduates with a solid foundation in Mathematics, Science, Engineering fundamentals required to solve complex Software Engineering Problem
Breadth: To impart the knowledge and skills in the field of Information Technology; and to comprehend, analyze, design and create novel products and solutions for the real-time and Complex Engineering problems of any domain with innovative approaches.
Professionalism: To inculcate in graduates, professional and ethical values, effective communication skills, teamwork, multidisciplinary approach, and ability to relate engineering issues in broader social context.
Learning Environment: To provide graduates with an academic environment that makes them aware of excellence in leadership, presentation, time management and ethics leading them to become responsible and competent professionals prepared to address challenges in the field of IT at global level.
Attainment: To empower graduates with an attitude and skills of Research, Entrepreneur and Higher education in the field of Information Technology.

PSO's-PEO's correlation matrix

	PEO1	PEO2	PEO3	PEO4	PEO5
PSO1	3	3	1	3	3
PSO2	3	3	2	3	3
PSO3	3	3	2	3	3
PSO4	3	3	2	3	3

DAB

Department Advisory Board

Sr. No.	Name of Person	Designation
1.	Mr. Manish Patil, (MES Developer,Smart Factory, Ireland)	Industry Experts
2.	Mr. Shubham Shirse, (Director, Geniobits Private Limited, Pune)	Industry Experts
3.	Dr. Lalit Patil (Member BOS-IT, SPPU)	External Academicians
4.	Dr. Rahul Desai, (Associate Professor, Army Institute of Technology, Pune)	External Academicians
5.	Ms. Mayuree Khedekar, (Advance Software Developer, Amdocs India)	Alumni
6.	Mr. Shashwat Upadhya, (Associate Software Quality Assurance Engineer,Veritas Technologies LLC Pune)	Alumni
7.	Dr. Preeti Patil (Associate Professor & Head of Department)	In-house faculty members
8.	Dr. A. J. Patankar (Associate Professor)
9.	Dr. K D Bamane (Program Coordinator)
10.	Mrs. Amita Jajoo (NBA Coordinator)
11.	Mr. Viraj Ramdin, (TE, Topper)	Students
12.	Ms. Utkasrsha Kesarkar (SE,Topper)
13.	Mr. Yash Kshtriya (FE,Topper)

DAB MOM

PAQIC

Sr No	Members	Role	Details
1	Dr.Preeti Patil	Chairperson	HOD, Associate Professor Dept.of IT
2	Dr.A.J.Patankar	Member	Associate Professor Dept.of IT
3	Dr.K.D.Bamane	Member	Associate Professor Dept.of IT

PAQIC MOM

ICT

Innovative Teaching Learning Practices

Sr. No.	Type of Innovative Teaching Methods	Description	Faculty Name
1	Game Pedagogy using Crossword	Cross words are designed for the different subject or topic.	Mrs.Dipali Kolte Patil Mrs. Himani Patel.
2	Placement Based Quiz under NDLI	Placement Based Quiz is conducted using National Digital Library of India	Mrs. Rutuja Tikait
3	Game Pedagogy using Housie Game Based Activity	Housie Game Based Activity is conducted for learning the latest technologies.	Dr.Preeti Patil
4	Group discussion Activity	Group discussion Activity on Technological Challenges & solution for different various Realtime Application	Dr.Preeti Patil
5	Discussion on Latest Technology through Newspaper Article	Newspaper Article for latest subject and Technology is Circulated and discussed	Mrs.Dipali Patil
6	Peer Grading Group discussion	Case Study based group presentation with Peer grading Activity conducted for Data science and Bigdata for TE	Dr.Preeti Patil
7	Faculty Websites/Portal for Content availability	Faculty members also have their own website for making their subject resources available on public domain for the students.	All Faculties
8	ICT/PPTs	Faculty members prepare their own presentation slides, Notes for subject preparation, delivery and for students use	All Faculties
9	Flipped classroom	This aims to increase student engagement and learning by having pupil’s complete readings at home and work on live problem-solving during class time.	Mrs. Amita Jajoo
10	Virtual Labs for Conduction of Practicals	Virtual Lab is used to conduct a few experiments from the syllabus in virtual online mode for better understanding of the practical assignments for the students	Mrs. Dipali Kolte
11	YouTube Channels for Video Lectures.	Youtube channel is created for Honours Course Cyber Security	Dr.Kalyan Bamane Mrs.AshwiniAbhale
12	Quiz on Collpol(ERP)	Quiz conducted for different subjects on ERP	Mrs.HimaniPatel.

MoU

MOU

Sr. No.	MOU signed with Industry/Organization	Date of signing MoU	Purpose of MoU	Outcome / Beneficiaries
1	HACKERSERA CYBER SECURITY CONSULTANCY AND TRAINING FIRM	01-02-2019	Establish Centre of Excellence	HackersEra will provide support for infrastructure establishment by defining requirements and validating software setup,deliver all the workshop(s), training(s) and awareness program,internship offers to students participating in Advance Ethical Hacking training program subject to technical review.
2	Elite Softwares Pvt. Ltd.	09-09-2017 Renewal on 24/09/2020	Website Development, Software Development, Online Applications Development, Technical Consulting Services, Domain Name Reg. and Hosting Provider, Bulk SMS Provider,Computer Sales and Services and Industrial IT Training Facilities and Guidance.	Provide support for establishing Center of Excellence for Web Development , Guest Lectures, Seminars, and Technical Workshops
3	Geniobits Private Limited	01-07-2021	Faculty Development Programs, Guest Lectures, Skill Development Programs, Internships and Placement of Students, Industrial Training &Visits	Faculty Development Programs has been organized, Students have done industrial training and internship, skill development program has been organized.
4	SORTING HAT TECHNOLOGIES PRIVATE LIMITED(CodeChef)	27-01-2022	To build a robust Competitive Programming culture	320 students have enrolled for competatitive programming and getting its benefits which will help them in improving their coding skills and in placement.
5	INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR.ORG)	09-02-2022	The selected research papers review and Plagiarism checking for the Conference NCRITS12K22 and publishing them in Special Issue of IJRAR, provide ISSN and DOI	49 papers got published in this journal
6	Fireblaze Technologies Pvt Ltd	18-02-2022	Training students on various technologies in the field of data science, sponsoring students for internships and projects and also helping them with the recruitment process.	Organized guest lecture
7	Automation Anywhere	30/10/2018 Renewal on 05/07/2022	Establish Centre of Excellence	Automation Anywhere will provide support for infrastructure establishment by defining requirements and validating software setup,deliver all the workshop(s), training(s) and awareness program,internship offers to students participating in RPA training and placement

Alumni

Distinguished Alumni

Sr. No.	Name	Year of Passing	Designation	Company
1	Sntaji Ghorpage	2003	Senior Support Analyst	IBM
2	Verma Palash	2006	Genesis Solution Engineer	Altivon
3	Kamdar Digant	2006	Lead Consultant	Capgemini
4	Namrata Rao	2007	Software Lead	QA Consultant
5	Deepika Sachdev	2009	Sr. Consultant	Oracle Apps
6	Nishant Kalbhore	2010	CEO	Kalbhorz Electric
7	Thakkar Hardik	2010	Senior software Engineer	Persistent
8	Raut Ashwajeet	2010	Quality Engineer	HSBC
9	Mayur Patil	2011	Project Associates	Cognizant Technology Solutions pvt. Ltd. India
10	Arvind Nayak	2011	Team Lead	IBM
11	Amit Palange	2011	Database Administrator	Central Railway
12	Manisha More	2011	Module Lead	Persitent
13	Jojo John Moolayil	2012	Data Scientist	Flutura Decision Science & Analytics
14	Manish Gonnade	2013	Senior System Executive	Cognizant Technology Solutions pvt. Ltd. India
15	Kamlesh Jagdale	2013	Associate Acqisition	Tata technologies
16	Rajmohamed Rahil	2014	CEO and Director	TechMainstay Software Pvt Ltd
17	Sujata Suhag	2015	Senior Software Engineer	Persistent Systems
18	Shantanu Shinde	2015	Associate Software Engineer	Tech Mahindra
19	Sonakshi Khandelwal	2015	Senior Software Engineer	Infosys Ltd
20	Mitanshu	2016	CEO	ART GRAMI
21	Monika Daiyya	2016	System Engineer	TCS
22	Santosh Zanak	2016	Full Stack Developer	Lonar Technologies
23	Kiran Shinde	2017	Associate QA Analyst	Bombardier Transportation
24	Amit Panchakshari	2017	Associate System Engineer	IBM
25	Amit Khandagale	2017	Big Data Analyst	Saama Techologies
26	Mr. RahilShaikh	2014	CEO and Director	TechMainstay Software Pvt. Lmt.
27	Mr. Chirayu Bhatt	2022	Higher Studies	MS in Computer Engineering from NYU Tandon School of Engineering.
28	Mr. AnandNakat	2022	Higher Studies	AIR-49 in GATE 2021 exam.
29	Lt AdarshBevore	2020	Lieutenant	At SSB
30	Mr. Kaushal Sharma	2022	Developer	Cloud base company
31	Mr. Harshit Chari	2022	Developer	Emiris Lab
32	Mr. Arvind Patel	2022	Developer	Juspay

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