About the Department:


Our Department is one of the leading departments in this campus providing highly technology-oriented programmes to meet today's needs of young minds, a department having highly qualified, experienced, and dedicated teaching faculty to impart knowledge in various fields including recent technologies helping students to take on any problem related to Information Technology.

With the right mix of creative talents, use of innovative technologies and strong relationships with various industries, the Department delivers quality methods of teaching that help students enhance their knowledge, understand the importance of being leaders in the area of their interest, and provide them with an unbeatable edge to success in today's demanding work place and global market.

India will soon be blooming into a developed and a prosperous country attaining a super- power status. An important premise of this vision is a demographic prediction that India will be a country of young people, who will take away from the developed countries the role of world's predominant work force. The sustenance of this role depends upon the work force acquiring the requisite skills, befitting the changed environment. Herein comes the role of providing right set of technical skills and help the youth to develop these skills. The students of B-Tech course are store houses of raw talents which need to be channelized and to a large extent this responsibility is shouldered by the faculty of the Department of Information Technology by providing a foundation in shaping the personality of the future engineers. To keep in touch with the developments, the Department of Information Technology organizes Workshops and Seminars from time to time.

Vision And Mission:


Vision: To promote specialized knowledge in the field of Information Technology along with interdisciplinary awareness and to develop a framework to support the communicative and ethical needs of industry and society at global level.

Mission:To impart quality education in the field of Information Technology and to facilitate and develop students for their superior employability, to pursue research and higher studies.

No. of Seats:

60 (Information Technology)

Departmental Lab's:


The department has following well- equipped laboratories that offer more that the prescribed practical needs as per RTU Curricilum :

  • Operating System Simulation Lab

  • Linux And Network Programming Lab

  • Compiler Design Lab

  • Project Lab /R&D Lab

  • Digital Hardware Design Lab

  • FPGA Lab

  • Data Structure Lab

  • Design And Analysis Of Algorithm Lab

  • Programming In C++ Lab

  • Advance Object Oriented Programming Lab

  • Database Lab

  • Embedded System Lab

  • System Design In Uml Lab

  • Computer Aided Software Engineering Lab

  • C Programming Lab

  • Shell Programming Lab

  • Advance Computer Network Lab

  • Digital Electronics Lab

  • Microprocessor Lab

  • Electronics devices and Circuit Lab

Operating System Simulation Lab
Compiler Design Lab
C Programming Lab
Project Lab /R&D Lab
FPGA Lab
Database Lab
Linux And Network Programming Lab
Java Programming Lab

List of Program Educational Objectives (PEO)


PEO-1

Preparation:-

To prepare undergraduate students with appropriate blend of theoretical foundations, experimentation & technical implementation to comprehend and pinpoint problems in the field of Mechanical Engineering to excel in under-graduate programs or to succeed in industry / technical profession


PEO-2

Core Competence:-

To provide students with a solid foundation in mathematical, scientific and engineering fundamentals required to solve mechanical engineering problems and also to pursue higher studies. Student will be able to employ his knowledge along with necessary techniques & tools for modern engineering applications.


PEO-3

Breathe:-

To train students with good scientific and engineering breadth so as to comprehend, analyze, design, and create novel products and solutions for the real life problems in the present system


PEO-4

Professionalism:-

To inculcate in students professional and ethical attitude, effective communication skills, teamwork skills, multidisciplinary approach, and an ability to relate engineering issues to broader social context.


PEO-5

Learning Environment:-

To provide student with an academic environment aware of excellence, leadership, and the life-long learning needed for a successful professional career through independent studies, thesis, internships etc.



List of Program Outcomes


PO-1

Engineering Knowledge:

Apply knowledge of mathematics and science, with fundamentals of Engineering to be able to solve complex engineering problems related.


PO-2

Problem Analysis:

Identify, Formulate, review research literature and analyze complex engineering problems and reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences


PO-3

Design/Development of solutions:

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety and the cultural societal and environmental considerations.


PO-4

Conduct Investigations of Complex problems:

Use research–based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.


PO-5

Modern Tool Usage:

Create, Select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.


PO-6

The Engineer and Society:

Apply Reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.


PO-7

Environment and Sustainability:

Understand the impact of the professional engineering solutions in societal and environmental contexts sustainable development.


PO-8

Ethics:

Apply Ethical Principles and commit to professional ethics and responsibilities and norms of the engineering practice


PO-9

Individual and Team Work:

Function effectively as an individual and as


PO-10

Communication:

Communicate effectively on complex engineering activities with the engineering community and with society at large such write effective reports and design documentation, make effective presentations and give and receive clear instructions.


PO-11

Project Management and Finance:

Demonstrate knowledge and understanding of the engineering management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi disciplinary environments.


PO-12

Life-Long Learning:

Recognize the need for and have the preparation and ability to engage in independent and life-long learning the broadest context of technological change.



Program Specific Outcome


Department has specifically defined few objectives of this program which make students realize the fact that the knowledge and techniques learnt in this course has direct implication for the betterment of society and its sustainability

PSO-1

The graduate will be able to work in power plant ,automobile industries , and manufacturing industries in sphere of Operation, Maintenance and Design with the help of CAD/CAM tool while ensuring best manufacturing practices.


PSO-2

The graduate will be able to inculcate their skill and knowledge in the domain of thermal and fluid sciences to reduce the complexity of mechanical engineering by utilizing advanced technology.

Course Outcomes (COs)


S.No. Course Code Course Title Course Outcomes (COs)
1 3CS2-01 Advanced Engineering Mathematics
  • CO1: Graduates gain ability to understand the decision making capability and how to translate real-world problems into probability models
  • CO2: Graduates analyze the ability to formulate a wide range of management problems that can be solved to optimality by classical combinatorial optimization techniques and the knowledge of alternative solution approaches such as metaheuristics that can find nearly optimal solutions.
  • CO3: Graduates understand the course aims to introduce students to Use operations research techniques for effective decisions–making, Model formulation and applications that are used in solving business decision problems.
2 3CS1-03 Managerial Economics and Financial Accounting
  • CO1: Graduates gain ability to apply the knowledge of managerial and economic concepts and ability to apply the tools and techniques.
  • CO2: Ability to understand the demand and supply analysis and to Know the implementation of demand forecasting methods for production decisions and cost analysis.
  • CO3: Ability to understand the types of markets and pricing methods and to understand the techniques regarding the long term investment decisions.
  • CO4: Ability to understand the application of various ratios in order to know the firm’s financial position in depth and to understand different techniques of capital budgeting.
3 3CS3-04 Digital Electronics
  • CO1: Apply the principles of number system, binary codes and Boolean algebra to minimize logic expressions and knowledge about various logic gates
  • CO2: Develop K-maps and apply Quine Mc Cluskey’s method to minimize and optimize logic functions up to 4 variables
  • CO3: Acquire knowledge about various logic families and analyze basic logic gate circuits of these families.
  • CO4: Design various combinational circuits such as Adders, encoders , decoders and multiplexers
  • CO5: Design various sequential circuits such as flip flops, counters and shift registers
4 3CS4-05 Data Structures and Algorithms
  • CO1: Graduate will be able to visualize of the programming languages paradigms.
  • CO2: Student will be able to use space & time complexity for particular functions.
  • CO3: Graduate will be able to develop effective algorithms through the attribute conceptual integrity.
  • CO4: Student will be able to analyze the concept of array and structure and implementation of 2-d array & sparse matrix.
  • CO5: Graduate will be able to improve the use existing programming language in a more efficiently way through the data such as array, strings, records, list.
5 3CS4-06 Object Oriented Programming
  • CO1: To build an understanding of basic concepts of object oriented programming techniques
  • CO2: To develop programming skills in C++ programming language
  • CO3: To implement object oriented techniques using C++ language features.
  • CO4: To develop software using object oriented programming paradigms
6 3CS4-07 Software Engineering
  • CO1: Gain knowledge of basic Software engineering methods and practices, and their appropriate application, understanding of software development process models such as the waterfall and evolutionary modelsetc and approaches of verification and validation including static analysis, and reviews.
  • CO2: An understanding of the role of project management including planning, scheduling, risk management.
  • CO3: An understanding of software requirements and the SRS document, different software architectural styles and implementation issues such as modularity.
  • CO4: Analyze and translate a specification into a design, and then realize that design practically, using an appropriate Software engineering methodology.
  • CO5: Provide basic knowledge of object orientation and OO analysis and design using the Unified Process and the Unified Modeling Language (UML) as tools.
7 4CS2-01 Discrete Mathematics Structure
  • CO1: Graduates gain ability to understand the To develop logical thinking and its application to computer science. The subject enhances one’s ability to reason and ability to present a coherent and mathematically accurate argument.
  • CO2: Graduate gain ability to understand algorithms on networks such as shortest path algorithm, minimal spanning tree algorithm and min-flow max-cut algorithm.
  • CO3: Graduate analyze combinatorial objects satisfying certain properties and answer questions related to existence, construction (describing how to create such objects in the case they exist), enumeration and optimization (determining which objects satisfy a certain extremal property).
8 4CS1-02 Technical Communication
  • CO1: Graduates will know about the grammar of Modern English Language
  • CO2: Graduates will be able to Comprehend and use a report in the professional arena.. Students will be able to identify imagination to express himself, broadening their vocabularies, to appreciate the cultural diversity.
  • CO3: Graduates will be able to develop reading habit, the art of writing. Student will assistant with the mainstream of society by studying the text that pertains to the most basic area of the branch of Humanities.
  • CO4: Students will be able to correctly apply the concept of technical and professional communication for employability skills generating a novel idea or opinion based on relevant information and pre established criteria.
9 4CS3-04 Microprocessor & Interfaces
  • CO1: Describe the architecture of 8085 microprocessor and understand the basic concept of static and dynamic RAM and types of ROM
  • CO2: Understand instruction set and write programs using assembly language programming
  • CO3: Write programs using advance assembly language using interrupts and subroutine.
  • CO4: Interface peripheral devices like 8255, 8259 and understand and describe Interfacing external devices like memory and other hardware devices.
  • CO5: Understand microprocessor applications such as Interfacing scanned multiplexed display and liquid crystal display, USART 8251, RS232C and RS422A
10 4CS4-05 Database Management System
  • CO1: Graduates gain ability to understand the concept of database concept and database management system software.
  • CO2: Graduates will have high-level understanding of major DBMS components and their function
  • CO3: Graduates will be able to model an application’s data requirements using conceptual modeling tools like ER diagrams and design database schemas based on the conceptual model.
  • CO4: Graduates will be able to write SQL commands to create tables and indexes, insert/update/delete data and query data in a relational DBMS.
  • CO5: Graduates gain ability to understand normalization theory and apply such knowledge to the normalization of a database and to be able to program a data-intensive application using DBMS APIs.
11 4CS4-06 Theory of Computation
  • CO1: Students will learn several formal mathematical models of computation along with their relationships with formal languages. Also students will learn that not all problems are solvable by computers, and some problems do not admit efficient algorithms.
  • CO2: Students will Be able to construct finite state machines and the equivalent regular expressions and they willBe able to prove the equivalence of languages described by finite state machines and regular expressions.
  • CO3: Students will Be able to construct pushdown automata and the equivalent context free grammars and prove the equivalence of languages described by pushdown automata and context free grammars
  • CO3: Students will Be able to construct Turing machines and Post machines and prove the equivalence of languages described by Turing machines and Post machines
12 4CS4-07 Data Communication and Computer Networks
  • CO1: Enumerate the layers of the OSI & TCP/IP model and functionality of each layer.
  • CO2: Detect the different types of error and their correction method in data link layer
  • CO3: Summarize and compare different routing alorithm in network layer.
  • CO4: To be familiar with working of transport layer and its services and protocols
  • CO5: Explain the different protocols used in Applicatin layer
13 5CS3-01 Information Theory and Coding
  • CO1: To provide the understanding and analytical tools necessary to apply information theory to a range of relevant modern problems in communication engineering.
  • CO2: In particular: to convey the source coding and noisy channel theorems; to furnish students with the means to compute information theoretic quantities; to deliver the principles and applications of source codes; to convey the principles and applications of channel codes; to provide exposure to the latest developments in the area.
  • CO3: Design and performance evaluation of error correcting codes. Knowledge of lossy compression.
14 5CS4-02 Compiler Design
  • CO1: To learn the process of translating a modern high-level language to executable code
  • CO2: To provide a student with an understanding of the fundamental principles in compiler design and to provide the skills needed for building compilers for various situations that one may encounter in a career in Computer Science.
  • CO3: To develop an awareness of the function and complexity of modern compilers
  • CO4: To apply the code generation algorithms to get the machine code for the optimized code.
15 5CS4-03 Operating Systems
  • CO1: Describe and explain the fundamental components of a computer operating system.
  • CO2: Define, restate, discuss, and explain the policies for scheduling, deadlocks, memory management, synchronization, system calls, and file systems.
  • CO3: Describe and extrapolate the interactions among the various components of computing systems.
  • CO4: Design and construct the following OS components: System calls, Schedulers, Memory management systems, Virtual Memory and Paging systems.
  • CO5: Measure, evaluate, and compare OS components through instrumentation for performance analysis.
16 5CS4-04 Computer Graphics and Multimedia
  • CO1: To list the basic concepts used in computer graphics.
  • CO2: To implement various algorithms to scan, convert the basic geometrical primitives, transformations, Area filling, clipping.
  • CO3: To describe the importance of viewing and projections.
  • CO4: To define the fundamentals of animation, virtual reality and its related technologies.
  • CO5: To understand a typical graphics pipeline
17 5CS4-05 Analysis of Algorithms
  • CO1: Ability to analyze the performance of algorithms.
  • CO2: Ability to choose appropriate algorithm design techniques for solving problems.
  • CO3: Ability to understand how the choice of data structures and the algorithm design methods impact the performance of programs.
18 5CS5-11 Wireless Communication
  • CO1: Articulate the fundamental concepts of Telecommunications such as bandwidth, capacity and data rates ,Network reference models.
  • CO2: Describe and determine the performance of different error control coding schemes for the reliable transmission of digital representation of signals and information over the channel and data link control.
  • CO3: Examine the concept of multiplexing ,multiple access technique and switching.
  • CO4: Analyze various spreading techniques and generation of spreading sequence, generation of spreading codes.
19 6CS4-01 Digital Image Processing
  • CO1: Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying.
  • CO2: To learn and understand the fundamentals of digital image processing, and various image Transforms, Image Enhancement Techniques, Image restoration Techniques and methods, image compression and Segmentation used in digital image processing.
  • CO3: Write a program which implements fundamental image processing algorithms. Be conversant with the mathematical description of image processing techniques.
20 6CS4-02 Machine Learning
  • CO1: Differentiate various learning approaches, and to interpret the concepts of supervised learning.
  • CO2: Compare the different dimensionality reduction techniques and apply theoretical foundations of decision trees to identify best split and Bayesian classifier to label data points.
  • CO3: Illustrate the working of classifier models like SVM, Neural Networks and identify classified model for typical machine learning applications
  • CO4: Identify the state sequence and evaluate a sequence emission probability from a given HMM
  • CO5: Illustrate and apply clustering algorithms and identify its applicability in real life problems
21 6CS4-03 Information Security System
  • CO1: Illustrate the concept of network security attacks, various encryption techniques and modern block ciphers.
  • CO2: Explain various symmetric key techniques and concept of S-Box theory.
  • CO3: Illustrate the concept of Public Key Cryptosystems, key management and understand the concept of key exchange.
  • CO4: Summarize the different authentication techniques and illustrate the concept of digital signature.
  • CO5: Implement IP Security Architecture and understand the concept of strong password protocols.
22 6CS4-04 Computer Architecture and Organisation
  • CO1: Graduates should be able to use graphic computing techniques to plan, develop, evaluate and manage a solution to a particular problem based on graphic systems.
  • CO2: Graduates should understand and apply ethical responsibility, legislation and codes of practice to professional activity in computer engineering.
  • CO3: Graduates should be able to explain, discuss and solve simple problems in the basic representation and handling of multimedia data (images, audio and animation), and the basic components of a 2D and 3D-environments.
23 6CS4-05 Artifical Intlligence
  • CO1: To introduce basic principles that drive complex real world intelligence applications.
  • CO2: To introduce and discuss the basic concepts of AI Techniques and Learning
  • CO3: To introduce discuss the basic concept of Game Planning Algorithm and Robotics Algorithm
  • CO4: To intouduce the basic concept of knowledge representation and expert system
24 6CS4-06 Cloud Comuting
  • CO1: Define what is cloud computing and how other technologies involved in the development of cloud computing.
  • CO2: Understand the model of cloud computing and programming languages used in cloud computing.
  • CO3: Understand the concept of virtualization and visualize the security threats in cloud..
  • CO4: Understand the cloud platform and applications in the industry
25 6CS5-11 Distributed System
  • CO1: Define what is computer system and humans and how they can interact with each other.
  • CO2: Understand the design process and design rules of a HCI system.
  • CO3: User can evaluate the HCI system with the help of evaluation techniques.
  • CO4: Understand the cognitive methods and various communication models with system and user.
26 7CS1A Cloud Comuting
  • CO1: Define what is cloud computing and how other technologies involved in the development of cloud computing.
  • CO2: Understand the model of cloud computing and programming languages used in cloud computing.
  • CO3: Understand the concept of virtualization and visualize the security threats in cloud.
  • CO4: Understand the cloud platform and applications in the industry
27 7CS2A ISS
  • CO1: Illustrate the concept of network security attacks, various encryption techniques and modern block ciphers.
  • CO2: Explain various symmetric key techniques and concept of S-Box theory.
  • CO3: Illustrate the concept of Public Key Cryptosystems, key management and understand the concept of key exchange.
  • CO4: Summarize the different authentication techniques and illustrate the concept of digital signature.
  • CO5: Implement IP Security Architecture and understand the concept of strong password protocols.
28 7CS3A DMW
  • CO1: Students will identify the core concepts of distributed systems: the way in which several machines orchestrate to correctly solve problems in an efficient, reliable and scalable way.
  • CO2: Students will examine how existing systems have applied the concepts of distributed systems in designing large systems and will additionally apply these concepts to develop sample systems.
  • CO3: Understand scheduling in distributed operating systems, fault tolerance, real- time distributed systems, and designing of distributed file systems.
  • CO4: Understand the concept of design and implementation in the context of distributed operating systems.
29 7CS4A Computer Aided Design for VLSI
  • CO1: Graduates gain ability to understand and designing different types of Programmable logic devices.
  • CO2: Graduates analyze the internal designing and working of Boolean function using different types of algorithm and graph.
  • CO3: Graduates gain ability to perform reducing the algorithm and concept of the pipelined circuit.
  • CO4: Graduates can optimize and minimize the logic function.
30 7CS5A Complier Construction
  • CO1: Graduates gain ability to learn concepts and types of various translators along with several representations, specification and construction formats using a variety of software tools and phases of a typical compiler, including the front-and backend part
  • CO2: Graduate will able to identify tokens from a high-level programming language code, define regular expressions for tokens and design or implement a lexical analyzer using scanner generator.
  • CO3: Graduate will learn role of a parser in a compiler and relate the yield of a parse tree to a grammar derivation and will able to construct a parser for a small context-free grammar.
  • CO4: Graduates gain ability to visualize the concept of runtime memory organization and implementation of intermediate code generator based on given code patterns.
31 7CS6.1 A Advanced Data base Management System
  • CO1: Graduates should be able to understand the Query Processing and Optimization in Relational DBMS and also gain knowledge of alternate plans.
  • CO2: Graduates should be able to analyze the Objects, OIDs and able to design the ORDBMS for an enterprise and gain ability to compare RDBMS, OODBMS and ORDBMS.
  • CO3: Graduates should be able to define Parallel and Distributed databases and gain basic understanding of Distributed transaction, Distributed concurrency control and distributed recovery.
  • CO4: Graduates should be able to play the role of DBA and with good ethics should be able to secure and authorize the database access.
  • CO5: Graduates should be familiar with the POSTGRES user interface and XML
32 8CS1A Mobile Computing
  • CO1: Evaluate the architecture and principles of operation of mobile systems and networks. Synthesize principles and theories of computer science and software engineering for application to different computing paradigms.
  • CO2: Synthesize new knowledge in the area of mobile computing by using appropriate research methodologies and techniques.
  • CO3: Evaluate the role of mobile applications in software intensive systems.
  • CO4: Evaluate the usability of representative mobile devices such as smartphones and tablets. Appraise the quality and performance of mobile applications. Assess and implement security principles in mobile applications.
  • CO5: Evaluate wireless network topologies, wireless connectivity and characteristics, and the impact of wireless networks on security and Internet communications.
33 8CS2A Digital Image Processing
  • CO1: Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying.
  • CO2: To learn and understand the fundamentals of digital image processing, and various image Transforms, Image Enhancement Techniques, Image restoration Techniques and methods, image compression and Segmentation used in digital image processing.
  • CO3: To learn program which implements fundamental image processing algorithms. Be conversant with the mathematical description of image processing techniques.
34 8CS3A Distributed System
  • CO1: Students will identify the core concepts of distributed systems: the way in which several machines orchestrate to correctly solve problems in an efficient, reliable and scalable way.
  • CO2: Students will examine how existing systems have applied the concepts of distributed systems in designing large systems and will additionally apply these concepts to develop sample systems.
  • CO3: Understand scheduling in distributed operating systems, fault tolerance, real- time distributed systems, and designing of distributed file systems.
  • CO4: Understand the concept of design and implementation in the context of distributed operating systems.
35 8CS4.2 Real Time System
  • CO1: Graduates gain ability to understand the real time system concepts and its applications.
  • CO2: Graduates gain the ability to understand precedence constraints, data dependency and real time scheduling.
  • CO3: Graduates analyze the problem and solution of periodic and aperiodic task scheduling.
  • CO4: Graduates gain ability to understand resources access control.

Placements


B.Tech 2015-2016 Batch
S.No. Year Name Roll No. Company Name
1 2015-2016 VIKAS RATHI 12EAIIT061 TCS
2 2015-2016 AASHISH RANJAN 12EAIIT001 Tech Mahindra
3 2015-2016 AJAY BASNET 12EAIIT002 Tech Mahindra
4 2015-2016 AMIT JEENGAR 12EAIIT003 Tech Mahindra
5 2015-2016 AMIT YADAV 12EAIIT004 Tech Mahindra
6 2015-2016 BANWARI LAL MEENA 12EAIIT007 Tech Mahindra
7 2015-2016 MANISH GURAGAIN 12EAIIT023 Good Through Software
8 2015-2016 BHAWANI SHANKER 12EAIIT008 Good Through Software
9 2015-2016 RAJ KUMAR 12EAIIT040 Prolifics
10 2015-2016 SHRUTI GARG 12EAIIT052 Prolifics
11 2015-2016 SONALI SINGH 12EAIIT055 Collabera
12 2015-2016 MOHIT SONI 12EAIIT028 Collabera
13 2015-2016 NAZAR ULLA 12EAIIT031 Collabera
14 2015-2016 RAHUL SHARMA 12EAIIT039 CMS IT Services Pvt. Ltd
15 2015-2016 SHUCHITA SHARMA 12EAIIT053 CMS IT Services Pvt. Ltd
16 2015-2016 KHUSHBOO BHATIA 12EAIIT020 Mphasis
17 2015-2016 NEHA KUMARI 12EAIIT032 Mphasis
18 2015-2016 NIDHI KHATRI 12EAIIT033 Mphasis
19 2015-2016 NIRAJ KUMAR 12EAIIT034 Mphasis
20 2015-2016 VEERAESHWAR CHANDER 12EAIIT059 Rose International
21 2015-2016 ASHISH KUMAR JOSHI 12EAIIT006 Rose International
22 2015-2016 MOHD ASIF 12EAIIT027 Rose International
23 2015-2016 RAJAT PARIK 12EAIIT041 Rose International
24 2015-2016 INDRA KUMAR DANGAL 12EAIIT017 Rose International
25 2015-2016 ARUNA GAUTAM 12EAIIT005 Amar Ujala
26 2015-2016 HARSHIT GUPTA 12EAIIT016 Capgemini
27 2015-2016 BHUWAN CHHETRY 12EAIIT009 HCL Technologies
28 2015-2016 SAMPAT KUMAR SHARMA 12EAIIT044 Adastra Softwares
29 2015-2016 SANJEEV KUMAR SINGH 12EAIIT045 Adastra Softwares
30 2015-2016 SANTOSH KUMAR 12EAIIT046 Adastra Softwares
31 2015-2016 RAHUL BUNKAR 12EAIIT038 Adastra Softwares
32 2015-2016 DILIP KUMAR 12EAIIT013 Arden Telecom
33 2015-2016 GIREESH BABU HARIJAN 12EAIIT015 Arden Telecom
34 2015-2016 MAYANK GARG 12EAIIT024 Cyfuture
35 2015-2016 REKHA AGARWAL 12EAIIT042 Cyfuture
36 2015-2016 SATISH KUMAR 12EAIIT047 Amazon
37 2015-2016 JITENDER PAL SINGH 12EAIIT018 CADD Centre
38 2015-2016 CHHITAR MAL VERMA 12EAIIT010 Asahi India Glass
39 2015-2016 DEVENDRA JANGIR 12EAIIT012 Consultadd
40 2015-2016 KARUNA YADAV 12EAIIT019 Consultadd
41 2015-2016 PANKAJ KUMAR 12EAIIT035 HCL (TSS)
42 2015-2016 PREM PRAKASH KUMHAR 12EAIIT036 HCL (TSS)
43 2015-2016 RAGHUVEER BHADRU 12EAIIT037 HCL (TSS)
44 2015-2016 SHIVEN CHOUDHARY 12EAIIT049 Dekho Network
45 2015-2016 SHIVESH VATS 12EAIIT050 Dekho Network
46 2015-2016 SOHAN LAL SHARMA 12EAIIT054 Dekho Network
47 2015-2016 TARUN SINGH 12EAIIT058 Dekho Network
48 2015-2016 DURGESH SUMAN 12EAIIT014 Dekho Network
49 2015-2016 ROBIN RAJ 12EAIIT043 eUniversal
50 2015-2016 VIKRAM KUMAR JHA 12EAIIT063 UniTech
51 2015-2016 VISHVENDRA SINGH GURJAR 12EAIIT064 UniTech

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B.Tech 2014-2015 Batch
S.No. Year Name Roll No. Company Name
1 2014-2015 KUNIKA SHARMA 11EAIIT036 Unisys
2 2014-2015 AAYUSH GUPTA 11EAIIT002 L&T Infotech
3 2014-2015 ANJALI AGARWAL 11EAIIT006 L&T Infotech
4 2014-2015 KANISHKA KHINCHI 11EAIIT029 L&T Infotech
5 2014-2015 LATA LAKHWANI 11EAIIT038 L&T Infotech
6 2014-2015 AKSHAY TIWARI 11EAIIT004 Concierge Tech.
7 2014-2015 REETIKA CHOPRA 11EAIIT070 Concierge Tech.
8 2014-2015 SHIVAM RAJPUT 11EAIIT077 Concierge Tech.
9 2014-2015 RAHUL RANKAWAT 11EAIIT065 Concierge Tech.
10 2014-2015 HARSHIT MITTAL 11EAIIT024 Cyber Futuristic
11 2014-2015 MANAN PANDEY 11EAIIT040 Cyber Futuristic
12 2014-2015 RADHIKA RAWAT 11EAIIT062 Cyber Futuristic
13 2014-2015 SHARDUL NEGI 11EAIIT073 Cyber Futuristic
14 2014-2015 KRATIKA SHARMA 11EAIIT033 Cyber Futuristic
15 2014-2015 KULDEEP KUMAR 11EAIIT034 Cyber Futuristic
16 2014-2015 TAPAN SAIN 11EAIIT085 Girnar Soft
17 2014-2015 DHARAMVEER 11EAIIT018 CADD Centre
18 2014-2015 DHEERAJ AMETA 11EAIIT019 CADD Centre
19 2014-2015 DINESH KUMAR CHEJARA 11EAIIT020 CADD Centre
20 2014-2015 DINESH YADAV 11EAIIT021 CADD Centre
21 2014-2015 JAI PRAKASH 11EAIIT027 CADD Centre
22 2014-2015 JAINUL SHAH 11EAIIT028 CADD Centre
23 2014-2015 KHUSHBOO BANSHIWAL 11EAIIT031 CADD Centre
24 2014-2015 KOUSHAL SINGH 11EAIIT032 CADD Centre
25 2014-2015 SAKSHI PANJABI 11EAIIT072 Mindtree
26 2014-2015 SHUBHAM PANDEY 11EAIIT079 Mindtree
27 2014-2015 APURVA CHHAPARWAL 11EAIIT009 Collabera
28 2014-2015 KAVYA BHATT 11EAIIT030 Collabera
29 2014-2015 ANJALI SHARMA 11EAIIT007 Collabera
30 2014-2015 PRIYANKA SOLANKI 11EAIIT061 Collabera
31 2014-2015 RAHUL GUPTA 11EAIIT063 Collabera
32 2014-2015 RAHUL KUMAR KOLI 11EAIIT064 Collabera
33 2014-2015 SUBHAM KUMAR 11EAIIT081 IBM
34 2014-2015 AAKASH SHARMA 11EAIIT001 Merchant Navy
35 2014-2015 AKSHAY LAVA 11EAIIT003 Merchant Navy
36 2014-2015 BHARTI NEGI 11EAIIT015 HCL
37 2014-2015 NAKUL SINGH RATHORE 11EAIIT045 HCL
38 2014-2015 NARESH JOSHI 11EAIIT046 HCL
39 2014-2015 NEMI CHAND MEENA 11EAIIT047 HCL
40 2014-2015 KULDEEP SHARMA 11EAIIT035 Adastra
41 2014-2015 LAKSHYA SHARMA 11EAIIT037 Adastra
42 2014-2015 MADAN LAL SOLANKI 11EAIIT039 Adastra
43 2014-2015 MANISH TYAGI 11EAIIT042 Adastra
44 2014-2015 MIHUL CHOUDHARY 11EAIIT043 Adastra
45 2014-2015 MOIN KHAN 11EAIIT044 Adastra
46 2014-2015 ATUL MODI 11EAIIT011 Adastra
47 2014-2015 SHEERSHA VYAS 11EAIIT075 Adastra
48 2014-2015 SURENDRA BHALWARA 11EAIIT082 Adastra
492014-2015 SURESH KUMAR 11EAIIT083 Adastra
50 2014-2015 VIJAY SINGH 11EAIIT087 Adastra
51 2014-2015 YAMINI RAHURE 11EAIIT089 Adastra
52 2014-2015 RAVI KANT AGARWAL 11EAIIT067 JK Techno soft
53 2014-2015 RAVINDRA PATIDAR 11EAIIT069 JK Techno soft
54 2014-2015 RAVI PANCHAL 11EAIIT068 JK Techno soft
55 2014-2015 BHASKAR JYOTI MEDHI 11EAIIT016 I GATE
56 2014-2015 CHANDAN LAKHERA 11EAIIT017 I GATE
57 2014-2015 AKSHITA PAREEK 11EAIIT005 Amdocs
58 2014-2015 ARCHANA BHARDWAJ 11EAIIT010 Academiaguru.com
59 2014-2015 PRATIKA GUPTA 11EAIIT057 Academiaguru.com
60 2014-2015 BAIJU KUMAR 11EAIIT013 Academiaguru.com
61 2014-2015 NIRAJ KUMAR 11EAIIT049 Kukars
62 2014-2015 NITESH KUMAR SALVI 11EAIIT050 Kukars
63 2014-2015 PIYUSH MITTAL 11EAIIT052 Kukars
64 2014-2015 PRASHANT KUMAR 11EAIIT054 Kukars
65 2014-2015 PRATEEK GAUR 11EAIIT055 Kukars
66 2014-2015 PRATEEK MATHUR 11EAIIT056 Kukars
67/th> 2014-2015 PRAVEEN JAIN 11EAIIT058 Kukars
68 2014-2015 VIJAY BHARTI 11EAIIT086 Kukars
69 2014-2015 SHUBHAM BANSAL 11EAIIT078 Kukars
70 2014-2015 GAURAV JHA 11EAIIT022 Kukars
71 2014-2015 VINOD KUMAR 11EAIIT088 Mobiloitte
72 2014-2015 NIKITA MANRTI 11EAIIT048 Mobiloitte
73 2014-2015 HARSHA SHARMA 11EAIIT023 Capgemini
74 2014-2015 HARSHITA GALAV 11EAIIT025 Capgemini
69 2014-2015 JAGDISH PRASAD KUMAWAT 11EAIIT075 Capgemini
76 2014-2015 PRIYA 11EAIIT060 Avyukta
77 2014-2015 RAJNISH KUMAR 11EAIIT066 Avyukta
78 2014-2015 PARUL KHANDELWAL 11EAIIT051 HCL Talent Care
79 2014-2015 RUBIYA KHAN 11EAIIT071 HCL Talent Care
80 2014-2015 SHIKHA AHUJA 11EAIIT076 HCL Talent Care
81 2014-2015 SUSHIL KUMAR 11EAIIT084 HCL Talent Care

Dr. PUSHPENDRA SINGH

Professor

(Phd)

Mr. PIYUSH SHARMA

Associate Professor

(M.Tech.)

Mr. PRAMOD KUMAR SHARMA

Associate Professor

(M.Tech.)

Mr. ALOK KUMAR AGNIHOTRI

Assistant Professor

(M.Tech.)

Mr. JITENDRA SINGH CHAUHAN

Assistant Professor

(M.Tech.)

Mr. MANISH KUMAR SHARMA

Assistant Professor

(B.Tech./B.E.)

Mr. MANOJ KUMAR SAINI

Assistant Professor

(MCA)

Mr. RAJNEESH PAREEK

Assistant Professor

(M.Tech.)

Ms. SAVITA DUBEY

Assistant Professor

(M.Tech.)

Mr. DHANANJAY KANTIBHARI

Assistant Professor

(MCA)

Miss Akanksha Aasarmya

Assistant Professor

(M.Tech)

Ms. TRIPTI DUA

Assistant Professor

(M.Tech.)

Mr. RAJKUMAR KEWLANI

Assistant Professor

(B.Tech./B.E.)

Mr. RAJESH KUMAR JAISWAL

Assistant Professor

(MBA)