a) Focus Area:

Computer science & Engineering focuses on the development and testing of software and software systems. It involves working with:

• Data Structure and Algorithm

• Operating System

• Machine learning

• Analysis of Algorithm

• Python and java language

• Linux and shell programming

• Software engineering

• Computer architecture

• Data base management system

• Computer networking

• Theory of computation

• Compiler and real time system

b) EFFORTS BY OUR FACULTIES:

Faculties take extra care of the students the knowledge delivery process throughout the course period. These dedicated and concentrated efforts have culminated in obtaining 100 % results. For these best results our faculty ensures complete learning of the student by providing:

• Digital Notes as well as hard copy notes

• Guess papers

• By Taking Regular Test and Assignments

DIGITAL NOTES:

The Department has digital notes with videos as well as hard copy Notes on all the subjects relevant to RTU syllabus. These notes have been prepared by experienced faculty. The Digital notes can be found on www.aryanotes.com.

STUDENT DEVELOPMENT (SDC) AND CAMPUS RECRUITMENT TRAINING (CRT):

The Student Development Centre (SDC) aims to enhance students' personal and professional growth through various skill-building programs. Campus Recruitment Training (CRT) prepares students for successful job placements by equipping them with essential interview and career skills. Together, SDC and CRT play a vital role in shaping well-rounded and industry-ready graduates.

Syllabus & Scheme

S.No.	Description	Download
1	III and IV Semester	View
2	V and VI Semester	View
3	VII and VIII Semester	View

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 Curriculum :

• Data Structures and Algorithms

• Object-Oriented Programming

• Software Engineering

• Digital Electronics

• Microprocessor & Interfaces

• Database Management System

• Network Programming

• Linux Shell Programming

• Java

• Computer Graphics & Multimedia

• Compiler Design

• Analysis of Algorithms

• Advance Java

• Digital Image Processing

• Machine Learning

• Python

• Mobile Application Development

• Internet of Things

• Cyber Security

• Big Data Analytics

• Software Testing and Validation

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List of Program Educational Objectives (PEO)

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PEO-1

Graduate students will have thorough knowledge in science and engineering disciplines and have broad-based education in areas of computer science, including hardware, software learning in the structural form of course and curriculum.

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PEO-2

Graduates will have solid foundation in engineering field required to solve computing problems using various programming languages and software’s/tools, and students can solve problems through logical and analytical thinking.

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PEO-3

Graduates will be trained with good engineering breadth so as to comprehend, analyze, design, and create novel products and solutions for the real-life problem and as per the industry requirements by bridging extra certification courses.

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PEO-4

To develop the professional and ethical attitude, effective communication skills and lateral learning for multidisciplinary approach, and an ability to relate engineering issues to broader social context.

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PEO-5

To develop the academic environment and persue excellence in leadership, teamwork and skills for lifelong learning needed to persue successful professional career through structured learning, independent self studies, projects, industrial training, Seminars and 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 a member or leader in diverse teams and in multidisciplinary Settings.

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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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PSO-1:
Knowledge Enhancement in Computing:-

The ability to interpret the foundation and strategy of hardware and software of computer systems. Graduates can solve the problems in the areas related to algorithms, multimedia, data analytics, cloud computing, human computer interface, robotics, artificial intelligence and networking for efficient design of computer systems.

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PSO-2 :
Software Design and Development:-

The ability to understand the software development lifecycle and methodologies of software systems. Graduate will learn competent skills and knowledge of software design process. Graduate will be acquaintance to practical proficiency with a broad area of programming concepts.

Course Outcomes (COs)

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S.No.	Course Code	Course Title	Course Outcomes (COs)
1	3CS2- 01	Advanced Engineering Mathematics	CO 1:	To learn the concepts and principles of Random variables.
			CO 2:	To learn the concepts and principles of Probability distribution.
			CO 3:	To learn the formulation of different mathematical problems into optimization Problems.
			CO 4:	Apply the principles of optimization using differential calculus.
			CO 5:	To understand the concepts of Liner Programming and the relation between demand and supply. Also, to learn the concepts of production and cost analysis.
2	3CS1- 03	Managerial Economics and Financial Accounting	CO 1:	Graduates gain the ability to apply the knowledge of managerial and economic concepts and the ability to apply the tools and techniques.
			CO 2:	Ability to understand demand and supply analysis and to Know the implementation of demand forecasting methods for production decisions and cost analysis.
			CO 3:	Ability to understand the production and cost analysis of the firm. Understanding of types of markets and pricing methods and understanding the techniques regarding long-term investment decisions.
			CO 4:	Ability to understand the application of various ratios and methods of analyzing the firm to know the firm’s financial position in depth and to understand different techniques of capital budgeting. To be able to conduct inter-firm and intra-firm comparisions.
3	3CS3- 04	Digital Electronics	CO 1:	Understand number systems, basic logic gates, Boolean algebra and derive digital logic circuits.
			CO 2:	Classify various minimization techniques and choose the best for designing logic circuit
			CO 3:	Define characteristics of logic families and calculate their parameters
			CO 4:	Design combinational logic circuits such as adder, subtractor, multiplexer, and decoder.
			CO 5:	Classify the different types of flip flops and design counters, and registers using flip flops.
4	3CS4- 05	Data Structures and Algorithms	CO 1:	Design applications using stacks and various types of queues
			CO 2:	Analyze and apply operations of linked lists and demonstrate their applications
			CO 3:	Evaluate the computational efficiency of the principal algorithms for sorting, searching, and hashing.
			CO 4:	Demonstrate operations on trees and discuss various types of Trees.
			CO 5:	Identify, model, solve, and develop algorithms for real-life problems like shortest path and MST using graph theory.
5	3CS4- 06	Object Oriented Programming	CO 1:	Describe the Object Oriented Programming paradigm with the concept of objects and classes.
			CO 2:	Explain the memory management techniques using constructors, destructors, and pointers.
			CO 3:	Classify and demonstrate the various Inheritance techniques.
			CO 4:	Understand how to apply polymorphism techniques to the object-oriented problem.
			CO 5:	Summarize the exception-handling mechanism, file-handling techniques, and Use of generic programming in Object-oriented programming
6	3CS4- 07	Software Engineering	CO 1:	Understand and compare the various software engineering models and differentiate between verification & validation
			CO 2:	Apply various estimation models to determine the cost of software projects and illustrate risks in the software projects
			CO 3:	Identify the requirements, design the SRS, and model various data flow and control flow diagrams
			CO 4:	Learn various approaches to breaking down software into modules and create documentation
			CO 5:	Describe object-oriented programming concepts to show class and object relationships
7	3CS4-21	Data Structures and Algorithms Lab	CO 1:	Understand the concept of array storage and Examine the concept of row-major and column-major order.
			CO 2:	List and Illustrate the implementation of basic data structure using an array.
			CO 3:	Compare various searching techniques using arrays
			CO 4:	Use linear and non-linear data structures like stacks, queues, linked lists, trees, etc.
			CO 5:	Design and Formulate different sorting algorithms
8	3CS4-22	Object-Oriented Programming Lab	CO 1:	Create and explain Basic C++ Programs using i/o variables and structures.
			CO 2:	Apply object-oriented programming concepts using class and objects
			CO 3:	Design and assess the classes for code reuse
			CO 4:	Analyse and Apply the generic classes concepts in programming problem
			CO 5:	Illustrate and evaluate the file Input Output mechanisms
9	3CS4-23	Software Engineering Lab	CO 1:	Understand and Describe the basic concept of UML, design, implementation of test cases, and OOP concepts using Java.
			CO 2:	Discuss and Analyse how to develop software requirements specifications for a given problem.
			CO 3:	Explain and build DFD models.
			CO 4:	Understand and develop various structure and behavior UML diagrams.
			CO 5:	Explain the knowledge of the project management tool Demonstrate how to manage files using the projectLibre project management tool.
10	3CS4-24	Digital Electronics Lab	CO 1:	Define different types of logic gates, identify their ICs, and also verify their truth table.
			CO 2:	Derive basic logic gates, adders, and subtractors using universal gates.
			CO 3:	Illustrate the realization of Boolean expression in SOP and POS form and design it using logic gates.
			CO 4:	Design and test combinational circuits and develop sequential circuits.
			CO 5:	Demonstrate team‐based laboratory activities with fellow students to interact effectively on a social and interpersonal level.
11	3CS7-30	Industrial Training	CO 1:	Identify the problem in the relevant engineering fields and gather information through independent or collaborative study
			CO 2:	Apply and summarize the knowledge of Mathematics, Science, and Engineering Fundamentals in the identified field of study
			CO 3:	Apply the acquired skills in communication, writing, and engineering tools
			CO 4:	Develop a product based on the experiences and projects carried out with the ability to work as an individual and in a group with the capacity to be a leader or manager as well as an effective team member
			CO 5:	Demonstrate the professional and ethical responsibilities of an engineer.
12	4CS2- 01	Discrete Mathematics Structure	CO 1:	Understand the basic principles of sets and operations in sets
			CO 2:	Demonstrate the ability to write and evaluate a proof or outline the basic structure of and give examples of each proof technique described
			CO 3:	Apply counting principles to determine probabilities.
			CO 4:	Demonstrate an understanding of relations and functions and be able to determine their properties
			CO 5:	Demonstrate different traversal methods for trees and graphs
13	4CS1- 02	Technical Communication	CO 1:	Recall and identify four basic LSRW skills for learning technical communication.
			CO 2:	Read, understand, and summarize the technical texts and documents.
			CO 3:	Apply technical style in writing and note-making.
			CO 4:	Compose official notes, letters, emails, resumes, job applications, and MOM with the usage of advanced grammar.
			CO 5:	Design, analyze, and evaluate technical reports, articles, and proposals in proper format.
14	4CS3- 04	Microprocessor & Interfaces	CO 1:	Describe the general architecture of the 8085 microprocessor and differentiate between microprocessors and microcontrollers. Illustrate the demultiplexing of address/data bus and memory mapping of 8085
			CO 2:	Classify the instruction set of the 8085 microprocessor and demonstrate programming proficiency using various addressing modes.
			CO 3:	Design counters with appropriate time delays and also categorize the interrupts of 8085 on various levels of functionality
			CO 4:	Design 8085 microprocessor-based circuits for various applications by interfacing selected peripheral ICs (8255, 8259, 8254, and 8279).
			CO 5:	Interfacing of Scanned multiplexed display, USART, RS232C, and RS422A with 8085 microprocessor.
15	4CS4- 05	Database Management System	CO 1:	Understand the basic concept of the database management system and analyze a given database application scenario to use the ER model for the conceptual design of the database
			CO 2:	Understand the concept of relational algebra, and Apply SQL to find solutions to a broad range of queries
			CO 3:	Apply normalization technique to improve database design
			CO 4:	Understanding the concept of transaction processing
			CO 5:	Demonstrate an understanding of concurrency control and database failure
16	4CS4- 06	Theory of Computation	CO 1:	Define and discuss the concept of formal grammar, formal language, regular expression, and automata machine.
			CO 2:	Design finite automata and push-down automata (PDA) machines for given formal languages or computational real-world problem statements.
			CO 3:	Understand the capability of the Turing machine and design the Turing Machine for context-sensitive languages or computational real-world problem statements.
			CO 4:	Choose and design appropriate automata for modeling the solution for various computational engineering problems.
			CO 5:	Understand the concepts of tractable & untractable problems and be able to decide whether a given problem is tractable or not.
17	4CS4-07	Data Communication and Computer Networks	CO 1:	Understand and Contrast the concept of Signals, OSI & TCP/IP reference models and discuss the functionalities of each layer in these models.
			CO 2:	Design subnets and calculate the IP addresses to fulfill the network requirements of an organization
			CO 3:	Analyze and apply various routing algorithms to find the shortest paths for packet delivery
			CO 4:	Explain the details of Transport Layer Protocols (UDP, TCP) and suggest appropriate protocols for reliable/unreliable communication.
			CO 5:	Analyze the features and operations of various application layer protocols such as HTTP, DNS, and SMTP.
18	4CS4-21	Microprocessor & Interfaces Lab	CO 1:	Identify relevant information in order to supplement to the Microprocessor course.
			CO 2:	Discuss programming strategies and select proper mnemonics and run their program on the 8085 microprocessor based training boards.
			CO 3:	Show programming proficiency by writing the code in a well structured document and evaluate possible causes of discrepancy in practical experimental observations.
			CO 4:	Develop testing and experimental procedures for 8085 Microprocessor applications and will analyze their operation under different conditions.
			CO 5:	Demonstrate the ability to interact effectively on a social and interpersonal level with fellow students, and will demonstrate the ability to divide up and share task responsibilities to complete assignments.
19	4CS4-22	Database Management System Lab	CO 1:	Illustrate the ER model and identify the roles and privileges of various users in a database.
			CO 2:	Apply common SQL statements using DDL, DML & DCL statements to perform various operations.
			CO 3:	Construct SQL queries for various operations in a database.
			CO 4:	Interpret Embedded and Nested queries.
			CO 5:	Assess the need to create triggers and views to manage the database.
20	4CS4-23	Network Programming Lab	CO 1:	Define the fundamentals of underlying principles of computer networking.
			CO 2:	Understand the key topologies that support the internet and Create a socket and analyze different client-server models.
			CO 3:	Demonstrate the installation and configuration of the network simulator.
			CO 4:	Applying the Network routing algorithm and evaluating the process of implementing simple routed internetwork.
			CO 5:	Evaluate the error using various error-correcting techniques.
21	4CS4-24	Linux Shell Programming Lab	CO 1:	List the basic commands of the UNIX operating system and use them in a Linux environment (ubuntu, Fedora, etc.).
			CO 2:	Understand commands related to process control and apply them to manage processes.
			CO 3:	Understand the concepts of control structure, loops, cases, and functions in shell programming and apply them to create shell scripts.
			CO 4:	Associate the concepts of arrays with Linux and apply them to create, compile, and execute C programs in a Linux terminal.
			CO 5:	Compare different editors (vi, gedit, nano) and use them to create a shell script and C program for a given problem.
22	4CS4-25	Java Lab	CO 1:	Describe object-oriented concepts, java program structure, and its installation.
			CO 2:	Demonstrate Object-oriented constructs such as various class hierarchies, interfaces, and Packages.
			CO 3:	Develop and understand Exception handling.
			CO 4:	To understand the concepts of threads and I/O in Java.
			CO 5:	Able to build dynamic user interfaces using applets and Event handling in Java.
23	5CS3-01	Information Theory and Coding	CO 1:	Describe the concept of information and entropy
			CO 2:	Discuss channel and Source coding theorem and also examine source coding schemes for data compaction.
			CO 3:	Analyze error detection and correction using linear block codes.
			CO 4:	Generate cyclic codes and justify properties of Galois fields (GF) polynomials.
			CO 5:	Design Convolutional encoders of different rates, code trees, trellis, and state diagrams.
24	5CS4-02	Compiler Design	CO 1:	Discuss the major phases of compilers and use the knowledge of the Lex tool
			CO 2:	Develop the parsers and experiment with the knowledge of different parser designs without automated tools.
			CO 3:	Describe intermediate code representations using syntax trees and DAG’s as well as use this knowledge to generate intermediate code in the form of three address code representations.
			CO 4:	Classify various storage allocation strategies and explain various data structures used in symbol tables
			CO 5:	Summarize various optimization techniques used for dataflow analysis and generate machine code from the source code of a novel language.
25	5CS4-03	Operating Systems	CO 1:	Describe the basics of the operating systems, and mechanisms of OS to handle processes, threads, and their communication.
			CO 2:	Analyze the memory management and its allocation policies.
			CO 3:	Illustrate different conditions for deadlock and their possible solutions.
			CO 4:	Discuss the storage management policies concerning different storage management technologies
			CO 5:	Evaluate the concept of the operating system concerning UNIX, Linux, Time, and mobile OS.
26	5CS4-04	Computer Graphics and Multimedia	CO 1:	Understand and apply basics about computer graphics along with graphics standards.
			CO 2:	Explain and analyze various algorithms to scan, and convert the basic geometrical primitives, Area filling.
			CO 3:	Explain, illustrate, and design various algorithms for 2D transformations and clipping.
			CO 4:	To understand the fundamental concepts of parallel and perspective projections and evaluate various algorithms for 3D transformations.
			CO 5:	Understand various color models in computer graphics systems and develop animated motions through OpenGL.
27	5CS4-05	Analysis of Algorithms	CO 1:	Describe asymptotic analysis concepts and use them to evaluate the time complexity of different algorithms.
			CO 2:	Explain, apply, and analyze the divide and conquer, greedy method, and dynamic programming techniques to solve various engineering problems.
			CO 3:	Discuss and use Branch and Bound, and pattern-matching algorithms.
			CO 4:	Discuss randomized algorithms for min-cut and 2-SAT problems.
			CO 5:	Understand the concepts of NP-Hard and NP-Complete problems.
28	5CS5-11	Wireless Communication	CO 1:	To List the different modes of communication and explain the evolution of different mobile communication technologies
			CO 2:	Summarize the challenges of wireless transmission and different design models.
			CO 3:	To illustrate the working of a cellular network and discuss issues related to cellular network design.
			CO 4:	To Illustrate different digital modulation and noise handling techniques used in Wireless Communication.
			CO 5:	Analyze multiple antenna techniques used in 4G mobile technology, MIMO, and apply the concept to create new research for future generations.
29	5CS4-21	Computer Graphics & Multimedia Lab	CO 1:	Understand and apply the various predefined functions for drawing various geometric shapes
			CO 2:	Explain and analyze various algorithms to scan, and convert the basic geometrical primitives, transformations, Area filling, clipping
			CO 3:	Explain, illustrate, and design various kinds of viewing and Projections.
			CO 4:	To understand the fundamentals of animation, virtual reality, and its related technologies.
			CO 5:	Define, explain, and apply various concepts associated with computer graphics to develop the animated game
30	5CS4-22	Compiler Design Lab	CO 1:	Understand the Lexical analyzer and use this knowledge to implement its various sub-functions for any regular language.
			CO 2:	Create a Symbol table and implement its operations in C language.
			CO 3:	Define the ex tool and determine various tokens using it.
			CO 4:	Examine the string for the given regular expression and evaluate an expression using the YACC Tool.
			CO 5:	Understand the concept of Context-Free Grammar and break down the given grammar for calculating First.
31	5CS4-23	Analysis of Algorithms Lab	CO 1:	Compute running time and analyze the performance using Asymptotic Analysis.
			CO 2:	Discuss various sorting, searching, and Graph Traversal algorithms and implement them.
			CO 3:	Explain the divide-and-conquer paradigm and apply it to various problems.
			CO 4:	Create programs for finding spanning trees, and shortest paths using different design techniques.
			CO 5:	Describe various design techniques and compare them.
32	5CS4-24	Advance Java Lab	CO 1:	List all UI components Create UI widgets and apply event handling using Abstract Windowing Toolkit (AWT) & Swings
			CO 2:	Discuss and Apply Java Database Connectivity (JDBC) to access databases through Java Programs
			CO 3:	Analyze and Formulate remote methods in an application using Remote Method Invocation(RMI)
			CO 4:	Select and create an appropriate multi-tier approach from stateful, stateless, and entity beans
			CO 5:	Build dynamic web pages, using Servlets and JSP.
33	5CS7-30	Industrial Training	CO 1:	Identify the problem in the relevant engineering fields and gather information through independent or collaborative study
			CO 2:	Apply and Summarize the knowledge of Mathematics, Science, and Engineering Fundamentals in the identified field of study
			CO 3:	Apply the acquired skills in communication, writing, and engineering tools
			CO 4:	Develop a product based on the experiences and projects carried out with the ability to work as an individual and in a group with the capacity to be a leader or manager as well as an effective team member
			CO 5:	Demonstrate the professional and ethical responsibilities of an engineer.
34	6CS3-01	Digital Image Processing	CO 1:	Identify the fundamental elements of an image and Describe the need for digital image processing.
			CO 2:	Understand different types of image transformation techniques and their properties.
			CO 3:	Use various noise models and Calculate the values for restoration and degradation models.
			CO 4:	Analyze and Evaluate various image compression techniques.
			CO 5:	Integrate and Demonstrate various Image Transformation and Segmentation Techniques
35	6CS4-02	Machine Learning	CO 1:	Understand different types of machine learning techniques and their applications in the real world.
			CO 2:	Apply various mathematical models for supervised machine learning models.
			CO 3:	Apply and evaluate the unsupervised machine learning models through various clustering algorithms.
			CO 4:	Apply reinforcement learning algorithms to solve real-time complex problems with an understanding of the trade-offs involved.
			CO 5:	Design the recommendation system using natural language processing and evaluate the machine learning models through ANN.
36	6CS4-03	Information Security System	CO 1:	Identify services that enhance the security and its mechanism.
			CO 2:	Classify security attacks on information over the network. Describe and apply classical encryption techniques.
			CO 3:	Compare conventional encryption algorithms & public key cryptography, and design an Encryption algorithm to provide the Integration and confidentiality of a message.
			CO 4:	Understand the concept of hash function with application and message authentication code in security system
			CO 5:	Classify key management schemes and discuss web security and transport-level security protocols.
37	6CS4-04	Computer Architecture and Organisation	CO 1:	Understand the basic operations of digital computer systems to learn the integrated circuits
			CO 2:	Describe arithmetic logic and shift micro-operations in symbolic form at a register transfer level.
			CO 3:	Develop the assembly language programming and demonstrate the addressing modes used in instructions.
			CO 4:	Analyze and measure clock periods, performance, and instruction throughput of single-cycle, multi-cycle, and pipelined implementations of a simple instruction set.
			CO 5:	Apply algorithms for arithmetic operations and implementation for ALU design Classify and design different memory organization
38	6CS4-05	Artifical Intlligence	CO 1:	Compare different AI search techniques and apply them to real-world problems
			CO 2:	Apply basic principles of AI in solutions that require problem-solving, inference, perception, knowledge representation, and reasoning
			CO 3:	Develop intelligent algorithms for constraint satisfaction problems and also design intelligent systems for Game Playing
			CO 4:	Classify different learning paradigms and its application in Neural Network
			CO 5:	Explain concepts of Natural Language processing and discuss Expert System
39	6CS4-06	Cloud Computing	CO 1:	Recall and summarize the basic concepts of cloud computing
			CO 2:	Discuss the architectural design of the cloud and illustrate various programming models.
			CO 3:	Outline the virtualization technology and determine its uses.
			CO 4:	Explain the basic threats and security mechanisms in the cloud
			CO 5:	Summarize the cloud available platforms for business and industry perspective
40	6CS5-11	Distributed System	CO 1:	List basic components of the distributed system and describe various issues of DS.
			CO 2:	Illustrate and analyze process management and inter-process Communication techniques.
			CO 3:	Compare Distributed File Systems, and Distributed Process Scheduling with Transaction Services and Concurrency Control.
			CO 4:	Analyze Distributed Shared Memory with memory consistency models and models of distributed computation.
			CO 5:	Demonstrate different algorithms and techniques for Distributed Agreement and replicated Data Management.
41	6CS4-21	Digital Image Processing Lab	CO 1:	Describe digital image representation, and manipulation and Illustrate the use of histograms.
			CO 2:	Applying various Geometric transformations on image and Illustrate Two- dimensional Fourier transform.
			CO 3:	Use and Compare, various Linear filtering methods.
			CO 4:	Applying various Ideal filters in the frequency domain and Understanding the concept of edge detection.
			CO 5:	Compose various Morphological operations on binary images and Generate their transformed images.
42	6CS4-22	Machine Learning Lab	CO 1:	Understand the mathematical and statistical prospects of machine learning algorithms through Python programming.
			CO 2:	Design and evaluate the unsupervised models through Python inbuilt functions.
			CO 3:	Design and apply various reinforcement algorithms to solve real-time complex problems.
			CO 4:	Design and develop the code for the recommender system using Natural Language processing
			CO 5:	Understand the basic concepts of deep neural network model and design the same.
43	6CS4-23	Python Lab	CO 1:	List various data types in Python and use them to solve basic Python programs.
			CO 2:	Describe Conditional statements and Looping structures concepts in Python and apply these to create searching and sorting programs.
			CO 3:	Explain the usage of Lists, Tuples, Set, Dictionary, and Strings and use these to solve programming problems in different ways.
			CO 4:	Understand various built-in Python functions and formulate user-defined functions.
			CO 5:	Discuss file-handling concepts and apply them to create basic data-handling programs.
44	6CS4-24	Mobile Application Development Lab	CO 1:	Discuss the components and different Layout for mobile application development framework for android
			CO 2:	Design a Simple GUI application with the Use of Built-in components and widgets.
			CO 3:	Define a solution for complex problems
			CO 4:	Create databases to store application data locally.
			CO 5:	Test and Show the results on emulators or physical handheld devices
45	7CS4-01	Internet of Things	CO 1:	Understand the basics of application areas of IOT
			CO 2:	Explain and realize the revolution of the Internet in Mobile Devices, Cloud & Sensor Networks
			CO 3:	Discuss the architecture, operation, and business benefits of an IoT solution
			CO 4:	Examine the potential business opportunities that IoT can uncover
			CO 5:	Explore the relationship between IoT, cloud computing, and big data and Identify how IoT differs from traditional data collection systems
46	7ME6-60.2	Quality Management	CO 1:	Describe the concepts of Quality, and evaluate various philosophies of quality gurus, cost of quality, and quality control.
			CO 2:	Analyses and interprets the process quality using various QC tools like control chart acceptance Sampling, Analysis of variance (ANOVA), and design of experiments (DOE).
			CO 3:	Describe as scope of benchmarking, Six Sigma Technique, and ISO standards and manage quality programs.
			CO 4:	Interpret the process quality improvement using CFD robust design and the Taguchi method.
			CO 5:	Analyses the design failure and Implementation of the effects.
47	7CS4-21	Internet of Things Lab	CO 1:	Explain the concept and Application of the Internet of Things
			CO 2:	Illustrate key technologies, protocols, and standards in the Internet of Things.
			CO 3:	Analyze trade-offs in interconnected wireless embedded device networks
			CO 4:	Application of IoT in the automation of Commercial and Real-World examples
			CO 5:	Design a simple IOT system comprising sensors, edge devices, and wireless network connections involving prototyping, programming, and data analysis.
48	7CS4-22	Cyber Security Lab	CO 1:	Apply the cryptographic algorithms for data communication.
			CO 2:	Understand the implementation of various security tools and algorithms.
			CO 3:	Apply the Digital signature for secure data transmission and secure data storage.
			CO 4:	Utilize the different open-source tools for network security and analysis.
			CO 5:	Demonstrate intrusion detection system using network security tool.
49	7CS7-30	Industrial Training	CO 1:	Identify the problem in the relevant engineering fields and gather information through independent or collaborative study
			CO 2:	Apply and summarize the knowledge of Mathematics, Science, and Engineering Fundamentals in the identified field of study
			CO 3:	Apply the acquired skills in communication, writing, and engineering tools
			CO 4:	Develop a product based on the experiences and projects carried out with the ability to work as an individual and in a group with the capacity to be a leader or manager as well as an effective team member
			CO 5:	Demonstrate the professional and ethical responsibilities of an engineer.
49	7CS7-40	Seminar	CO 1:	Identify emerging technologies/current trends to gather relevant information through independent or collaborative study.
			CO 2:	Analyse and Summarize related work and literature in the identified field of study.
			CO 3:	Design a clear, well-constructed document that represents both technical and non-technical information using engineering-standard figures, reports, and drawings.
			CO 4:	Demonstrate effective oral presentations in given time constraints, using a variety of presentation media.
			CO 5:	Develop listening skills and comprehend information, instructions, and viewpoints either as a presenter or as an audience.
50	8CS4-01	Big Data Analytics	CO 1:	Explain the building block of Big Data and overview of an exciting growing field of big data analytics
			CO 2:	Understanding and Applying the programming aspects of map-reduce
			CO 3:	Analyze pig architecture to make easier Hadoop programming
			CO 4:	Applying Structure to Hadoop data with Hive
			CO 5:	Design applications to solve complex real-world problems for decision support.
51	8EE6-60.2	Soft Computing	CO 1:	Ability to analyze and appreciate the applications that can use fuzzy logic
			CO 2:	Ability to design inference systems
			CO 3:	Ability to understand the difference between learning and programming and explore practical applications of Neural Networks (NN).
			CO 4:	Ability to appreciate the importance of optimizations and its use in computer engineering fields and other domains
			CO 5:	Students would understand the efficiency of a hybrid system and how Neural Networks and fuzzy logic can be hybridized to form a Neuro-fuzzy network and its various applications.
52	8CS4-21	Big Data Analytics Lab	CO 1:	Understand and implement the basics of data structures like Linked lists, stack, queue, set, and map in Java.
			CO 2:	Demonstrate knowledge of big data analytics and implement different file management tasks in Hadoop.
			CO 3:	Understand Map Reduce Paradigm and develop data applications using a variety of systems.
			CO 4:	Analyze and perform different operations on data using Pig Latin scripts.
			CO 5:	Illustrate and apply different operations on relations and databases using Hive.
53	8CS4-22	Software Testing and Validation Lab	CO 1:	Understand the Automation Testing Approach using the JaBuTi Tool.
			CO 2:	Analyse & Discuss the performance of different websites using JMeter
			CO 3:	Describe & Calculate the mutation score for various programs using the jumble testing tool.
			CO 4:	Calculate the coverage analysis of programs using the Eclemma tool.
			CO 5:	Generate Test sequences and compare them using the Selenium tool for different websites.
54	8CS7- 50	Project	CO 1:	Competence in applying software engineering principles in planning, formulating an innovative design/ approach, and computing the requirements appropriate to solve the problem within the context of legal, global, and environmental constraints.
			CO 2:	Ability to plan, monitor, and manage project schedules, resources, and work assignments to ensure timely completion.
			CO 3:	Ability to test and defend the performance of the implemented project and understand the Implications of the solution.
			CO 4:	Perform professionally as a team member, accepting responsibility, taking initiative, and providing the leadership necessary to ensure Project success.
			CO 5:	Ability to use formal and informal Communication with team members and guide, make presentations, and prepare technical documents.

Placements

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B.Tech 2022-Batch
Placement List-2022

B.Tech 2021-Batch
Placement List-2021

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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