No. of Seats:

60 (Information Technology)

Departmental Lab's:

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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

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List of Program Educational Objectives (PEO)

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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

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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.

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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

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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.

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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.

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List of Program Outcomes

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PO-1

Engineering Knowledge:

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

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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

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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.

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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.

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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.

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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.

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PO-7

Environment and Sustainability:

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

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PO-8

Ethics:

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

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PO-9

Individual and Team Work:

Function effectively as an individual and as

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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.

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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.

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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.

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Program Specific Outcome

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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.

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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)

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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

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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
49	2014-2015	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

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