Vision Mission PEO


To create an Engineer, receptive to the changing demands of the global market


1. To provide technically competent professionals in service to Nation.
2. To prepare graduates to respond to the needs of dynamically changing technology.


“Truth is eternal”

Quality Policy

We commit ourselves to provide quality education and enhance our student’s quality through continuous improvement in our teaching and learning processes

Program Educational Objective

PEO1: To prepare graduates to work productively as successful Computer Professionals.
PEO2:To prepare students with latest skills in the field of technologies supplemented with practical orientation to face challenges of modern computing industry.
PEO3: To provide environment that fosters professional growth, communication skill, team work, life-long learning skill and ability to createawareness in society about applications of technology


PSO1: Problem Solving and Programming Skills: Graduates will be able to apply computational techniques and complete individual practical experiences in a variety of programming languages and situations.
PSO2:Professional Skills: Graduates will be able to design and develop efficient and effective software by following standard software engineering principles.
PSO3: Successful Career: Graduates will be able to become entrepreneur and to pursue higher studies / career in IT industries.

Program Outcomes

Engineering Graduates will be able to
1.       Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. [Engineering knowledge]
2.      Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. [Problem analysis]
3.       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. [Design/development of solutions]
4.       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. [Conduct investigations of complex problems]
5.  Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. [Modern tool usage]
6.     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. [The engineer and society]
7.      Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. [Environment and sustainability] [ Environment and sustainability]


8.       Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. [Ethics]


9.       Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. [Individual and team work]






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


Subject: Discrete Mathematics
Course Outcomes: Students will be able to
C201.1 Design a solution using set notations and elementary set theory.
C201.2 Apply appropriate relation models and functions to understand practical examples, and interpret the associated operations and terminologies in context.
C201.3 Identify the logical possibilities and probability of events for different inputs for given problem statement.
C201.4 Solve the factual problems like shortest path and implement it in real world problems
C201.5 Solve the factual problems like Minimum Spanning Trees, Prims and Kruskal’s.
C201.6 Solve the problems on groups and rings for different algebraic systems
  Subject: Digital Electronics and Logic Design
Course Outcomes: Students will able to
C202.1 Design Combinational circuit of boolean algebraic equations using K-map.
C202.2 Design and implement synchronous and asynchronous Sequential digital circuits using flip flops, registers,and counters.
C202.3 Apply concepts of ASM’s and VHDL and design minimum systems.
C202.4 Design and implement combinational digital circuit using Programmable Logic Design.
C202.5 Compare various logic families of IC packages.
C202.6 Explain the basic concepts and features of microcontroller.
  Subject: Data Structures and Algorithms
Course Outcomes: Students will able to
C203.1 Classify the data structure, Use different algorithmic strategies to solve the problems and analyze efficiency of algorithm
C203.2 Discuss the properties, operations, applications, advantages, disadvantages of array & Implement programs using it
C203.3 Explain Linked List and perform operations on it.
C203.4 Explain the Stack and develop applications using stack
C203.5 Explain the Queue and implement it using array as well as linked list
C203.6 Analyze, Interpret & compare various searching and sorting algorithms and perform efficiency analysis
  Subject: Computer Organization and Architecture
Course Outcomes: Students will able to
C204.1 Interpret computer components and solve binary multiplication and division using booths  algorithms
C204.2 Identify the key components of  internal and external memory structure  and solve problems based on computer  memory  system
C204.3 Describe different components  of input output system
C204.4 Explain 8086 architecture and instruction set
C204.5 Describe  the need of parallel computation and instruction level parallelism
C204.6 Illustrate  the execution flow of instructions in processor  by writing control sequence of various instruction
  Subject: Object Oriented Programming
Course Outcomes: Students will able to
C205.1 Explain basic concepts of OOPs and develop programs to familiar C++ programming.
C205.2 Apply the knowledge of inheritance and polymorphism to solve or develop simple real-life applications.
C205.3 Apply virtual function, dynamic memory allocation and pointers concepts to develop programs.
C205.4 Apply the knowledge of templates and exception handling to develop small real-life applications.
C205.5 Explain file and file streams and develop database applications using file handling.
C205.6 Identify and Select appropriate STL for complex application development
  Subject: Soft Skills
Course Outcomes: Students will able to
C206.1 Communicate effectively through verbal/oral communication and improve the listening skills
C206.2 Write precise reports and technical documents.
C206.3 Actively participate in group discussion / meetings / interviews and prepare & deliver presentations.
C206.4 Become more effective individual through goal/target setting, self-motivation and able to manage stress and time effectively
C206.5 Function effectively in multi-disciplinary and heterogeneous teams through the knowledge of team work, Interpersonal relationships, conflict management and leadership quality
C206.6 Become effective individual with Professional Etiquette, Technology Etiquette and Social Etiquette with ethics
  Subject: Audit Course 1
Course Outcomes: Students will able to
AC1.1 Find urban city problem like unemployment, adoption of latest technologies etc.
AC1.2 Relate smart planning systems with latest technologies.
AC1.3 Illustrate different use cases for implementing smart city projects like IOT devices for Traffic control, smart parking, and smart meter Billing etc.
AC1.4 Compare various communication technologies for smart city.
AC1.5 Outline Urban governance policies at local, regional & national levels.
  Subject: Engineering Mathematics III
Course Outcomes: Students will able to
C208.1 Solve higher order linear differential equations using appropriate techniques for modelling and analyzing electrical circuits.
C208.2 Solve problems related to Fourier Transform, Z-Transform and applications to Signal and Image Processing.
C208.3 Perform statistical methods like correlation,  regression to analyze the data.
C208.4 Solve probability theory for analysis and prediction of given data.
C208.5 Transform physical phenomena into vectors, describe gradient, curl, and divergence, also understand Vector Calculus and its applications to Electromagnetic field, solve Line, Volume integrals with their applications in engineering.
C208.6 Analyze conformal mappings, transformations and perform contour integration of complex functions required in Image processing, Digital filters and Computer graphics.
  Subject: Computer Graphics
Course Outcomes: Students will able to
C209.1 Apply mathematics and logic to develop Computer programs for elementary graphic operations..
C209.2 Develop a scientific and strategic approach to solve complex problems in the domain of Computer Graphics.
C209.3 Interpret the concepts of Computer Vision.
C209.4 Apply the logic to develop Curves and Fractals
C209.5 Use various tools for product design
C209.6 Develop base for further advance course in animation and gaming.
  Subject: Advanced Data Structures
Course Outcomes: Students will able to
C210.1 Design and implement the algorithms for various operations on binary tree and binary search tree.
C210.2 Design and implement the algorithms for graph data structures.
C210.3 Illustrate the need of hashing and make use of collision resolution strategies for effective data storage.
C210.4 Apply dynamic programming for implementation of optimal binary search tree .
C210.5 Explain heap and indexing for realization for multi-way trees.
C210.6 Describe different file organizations.
  Subject: Microprocessor
Course Outcomes: Students will able to
C211.1 Select appropriate instruction and addressing mode of 80386 DX and to apply the assembly language programming to develop small applications..
C211.2 Apply the Systems Architecture and memory management concept related to Paging and segmentation of microprocessor
C211.3 Apply the concept of Protection and Multitasking 80386DX.
C211.4 Make use of the concepts of Input-Output, Exceptions and Interrupts of 80386DX
C211.5 Compare the various operating modes of 80386DX.
C211.6 Apply assembly language programming and instruction set for performing operations related to coprocessors.
  Subject: Principles of Programming Languages
Course Outcomes: Students will able to
C212.1 Explain program using proper syntax and semantics of a programming language.
C212.2 Apply concepts different data structures in programming
C212.3 Select generic modules and generic algorithms for OOP application development
C212.4 Apply basic primitives of JAVA to write basic JAVA programs
C212.5 Develop JAVA application using Inheritance, encapsulation and polymorphism
C212.6 Select and apply error handling in program development using JAVA exception handling and develop graphics applications using Applets.
  Subject: Audit Course 2
Course Outcomes: Students will able to
AC2.1 Recognize the global water cycle and its various processes.
AC2.2 Identify climate change and their effects on water systems.
AC2.3 Recognize Drinking treatment and quality of groundwater and surface water.
AC2.4 Classify Physical, chemical, and biological processes involved in water treatment and distribution.
AC2.5 Explain role of research & development for agriculture water use, urban water supply, challenges and its management.
THIRD  YEAR (Semester V)
  Subject: Theory of Computation
Course Outcomes: Students will able to
C301.1 Solve problems on formal language, finite automata and its types.
C301.2 Design Deterministic and Non deterministic Finite Automata using Regular Expression
C301.3 Identify  types of Grammars and simplify Context Free Grammar(CFG)
C301.4 Design and  describe Turing Machine for given problems
C301.5 Design and  describe Pushdown Automata for given problems
C301.6 Analyze given problems and identify P and NP class problems
  Subject: Database Management Systems
Course Outcomes: Students will able to
C302.1 Design E-R Model for given requirements and convert the same into database tables.
C302.2 Write queries using database techniques such as SQL &amp; PL/SQL.
C302.3 Apply database normalization techniques.
C302.4 Explain transaction Management in relational database System.
C302.5 Analyze different database architectures and identify the use of appropriate

architecture in real time environment.

C302.6 Write NOSQL. Queries using MongoDB
  Subject: Software Engineering and Project Management
Course Outcomes: Students will able to
C303.1 Use principles of software engineering to identify suitable software process models.
C303.2 Analyze requirements of a software system need to be developed and to classify them as functional and nonfunctional requirements of the system.
C303.3 Model architectural, component level and User interface designs of software systems by applying software design principles
C303.4 Use software project management principles to estimate software project schedule, cost and resources using appropriate models
C303.5 Analyze risks associated with software project management
C303.6 Apply various quality control and assurance techniques and tools on software systems to test and maintain quality of software systems
  Subject: Information System and Engineering Economics
Course Outcomes: Students will able to
C304.1 Summarize the need, usage and importance of an Information System to an organization
C304.2 Explain the activities that are undertaken while managing, designing, planning, implementation, and deployment of computerized information systems in organizations like the Bank or manufacturing/process industry.
C304.3 Illustrate various Information System solutions like ERP,CRM, Data warehouses and their issues in successful implementation of these technology solutions in any organizations.
C304.4 Outline the past history, present position and expected performance of a company engaged in engineering practice to achieve money management.
C304.5 Evaluate present worth, future worth and annual worth analyses of one or more economic alternatives.
C304.6 Interpret Financial Statements, Accounting for Depreciation and Income Taxes, Project Cash-Flow Analysis for companies.
  Subject: Computer Networks
Course Outcomes: Students will able to
C305.1 Explain basics of computer network topology, Networking standards, protocols and technologies.
C305.2 Demonstrate design issues, flow control and error control of Logical link Layer.
C305.3 Describe various techniques used at medium access control.
C305.4 Analyze network level protocols using advanced network tools.
C305.5 Implement programs to transfer files using TCP and UDP protocols
C305.6 Analyze application level protocols using wire-shark.
  Subject: Audit Course 3
Course Outcomes: Students will able to
AC3.1 Compare the interrelationships among security roles and responsibilities in a modern information-driven enterprise.
AC3.2 Interpret the role of strategy and policy in determining the success of information security.
AC3.3 Explain the possible consequences of misaligning enterprise strategy, security policy, and security plans.
THIRD  YEAR (Semester VI)


  Subject: Software Development Lab
Course Outcomes: Students will able to
C306.1 Use Java generics and Java Collections API for selection of appropriate data structure in Java Applications
C306.2 Use concepts of Serialization and Networking, Database Connectivity and Multithreading for implementation of interactive GUI based Java applications(Mini Project)
C306.3 Implement simple apps using various UI components, system permissions and Intents and Filters.
C306.4 Design and develop smart android apps (Mini Project) with multiple features like shared data storage techniques like Firebase /SQLite, Google Maps/GPS /Sensors etc
  Subject: Design & Analysis of Algorithms
Course Outcomes: Students will able to
C307.1 Determine the correctness of the algorithms
C307.2 Write recursive algorithms for solving problems like knapsack using Greedy strategy
C307.3 Compare different algorithmic strategies like , branch and bound, dynamic programming ,divide and conquer  for solving  TSP problems.
C307.4 Classify the problems as P,NP,NP-hard.
C307.5 Determine different algorithms like power optimized scheduling algorithm and sorting algorithm for embedded systems.
C307.6 Discuss recent algorithms like multithread, distributed and string matching algorithm.
  Subject: System programming and Operating System
Course Outcomes: Students will able to
C308.1 Analyze system software and implement pass-I & pass-II assembler.
C308.2 Explain the internals of language translators.
C308.3 Demonstrate practical assignments using LEX & YACC tools.
C308.4 Implement operating system functions, different scheduling algorithms-FCFS, SJF, RR and Priority.
C308.5 Explain different memory management techniques- Paging, Segmentation, Demand paging.
C308.6 Compare Light weight and heavy weight OS and Disk Scheduling policies – FIFO, LIFO, STTF, SCAN, C-SCAN.
  Subject: Embedded System and Internet of Things
Course Outcomes: Students will able to
C309.1 Explain the basics of embedded systems and IoT.
C309.2 Select IoT platform design Methodology.
C309.3 Apply the connectivity of different IoT devices and its pillars.
C309.4 Choose different protocols and fundamentals of security for IoT.
C309.5 Identify the web and Cloud of things in detail as infrastructure of IoT.
C309.6 Apply the knowledge of IoT design, protocols, to perform case studies and relate physical servers.
  Subject: Software Modeling and Design
Course Outcomes: Students will able to
C310.1 Identify and analyze the requirements from the given project specifications.
C310.2 Design static models using class, object, component, deployment and package diagrams.
C310.3 Design dynamic models using sequence, timing and activity diagrams.
C310.4 Design architectural model of the software system using UML tools.
C310.5 Apply concept of design pattern during software development process
C310.6 Design and execute test cases for the given system requirement and use advanced testing tools such as Junit , Selenium.
  Subject: Web Technology
Course Outcomes: Students will able to
C311.1 Describe the web development process and design the web application using HTML, CSS and XML.
C311.2 Perform validation using scripting languages like JavaScript and Jquery at client side.
C311.3 Develop three tier web application using JSP and servlet .
C311.4 Design and develop dynamic web application using PHP, MySQL database connectivity and AJAX controls
C311.5 Describe java frameworks like angular JS, NodeJS and Struts.
C311.6 Define web services and implement applications using Enterprise Java Beans.
  Subject: Seminar and Technical Communication Laboratory
Course Outcomes: Students will able to
C312.1 Develop basic technical writing skills, concepts such as audience analysis, jargon, format, visuals, and presentation
C312.2 Improve skills to read, understand, and interpret material on technology
C312.3 Improve communication and writing skills
  Subject: Audit Course 4
Course Outcomes: Students will able to
AC4.1 Analyze and develop interpersonal skills.
AC4.2 Defend communication barriers.
AC4.3 Develop leadership skills.
AC4.4 Develop employability skills.
  Subject: High Performance Computing
Course Outcomes: Students will able to
C401.1 Explain scope of parallel computing and multi-core architectures.
C401.2 Apply principles of Parallel Algorithm design and develop programs for vector and Matrix operations.
C401.3 Apply different communication techniques to approach parallel solution of the given application.
C401.4 Measure and analyze the performance of Parallel Systems.
C401.5 Illustrate and implement parallel sorting and searching algorithms.
C401.6 Apply CUDA concepts to build parallel programs.
  Subject: Artificial Intelligence and Robotics
Course Outcomes: Students will able to
C402.1 Identify and apply suitable Intelligent agents for various AI applications
C402.2 Develop applications using different informed search / uninformed search or heuristic approaches
C402.3 Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem.
C402.4 Compare different learning techniques such as supervised, semi supervised and unsupervised learning techniques.
C402.5 Apply the suitable algorithms to solve AI problems
C402.6 Describe the working mechanism of robots and explain various robotic applications
  Subject: Data Analytics
Course Outcomes: Students will able to
C403.1 Apply the data analytics life cycle on given data analytic problems.
C403.2 Apply different statistical methods for analysis of dataset.
C403.3 Demonstrate market basket analysis and regression on dataset.
C403.4 Classify data using different classification algorithm.
C403.5 Analyze the big data using different tools.
C403.6 Develop distributed framework for an Analytics Project.
  Subject: Data Mining and Warehousing(Elective I)
Course Outcomes: Students will able to
C404d.1 Explain Knowledge Discovery Process
C404d.2 Design data warehouse with dimensional modeling and apply OLAP operations.
C404d.3 Use different techniques for finding data similarity and dissimilarity
C404d.4 Discover and measure interesting patterns or association
C404d.5 Identify and apply appropriate data mining techniques to solve real world problems (using tool)
  Subject: Distributed System(Elective II)
Course Outcomes: Students will able to
C405a.1 Apply the concepts of remote method invocation and remote procedure calls.
C405a.2 Describe the concepts of clock synchronization, mutual exclusion and shared memory in distributed systems.
C405a.3 Compare various election algorithms.
C405a.4 Apply the concept of failure detection, distributed transaction and recovery from failure.
C405a.5 Explain group communication methodologies in distributed systems.
C405a.6 Analyze peer to peer system mechanism and security aspects in distributed systems.
  Subject: Software Testing and Quality Assurance(Elective II)
Course Outcomes: Students will able to
C405b.1 Describe fundamental concepts in software quality assurance.
C405b.2 Design and develop project test plan, design test cases, test data, and conduct test operations
C405b.3 Discuss recent automation software testing tools .
C405b.4 Apply automation tool like selenium
C405b.5 Apply different approaches of quality management, assurance, and quality standard to software system
C405b.6 Apply and analyze effective Software Quality Tools
  Subject: Project Work Stage I
Course Outcomes: Students will able to
C406.1 Apply the knowledge of mathematics, science, and engineering fundamentals to identify the complex engineering problems as a project.
C406.2 Apply software engineering knowledge and define precise problem statement, objective, scope of project and literature survey to find research gap.
C406.3 Apply project management skill to design a system / product by taking into consideration different issues such as safety, ethics, social, health, legal, cultural and cost standards.
C406.4 Identify different modern tools and equipment’s like Raspberry Pi, Arduino board, Rubby, cloudsim, J2EE, J2SE & J2ME, R-Programming, Eclipse, Python,  Android Studio, Oracle, IoT, Latex etc.
C406.5 Participate in technical events and project competition activities and prepare project documents.
C406.6 Prepare project Report (proposals) and present their project work.
  Subject: Audit Course 5(Industrial Safety and Environment Consciousness)
Course Outcomes: Students will able to
AC5.1 Explain Industrial Safety requirements with norms
AC5.2 Build the plan for Safety performance
AC5.3 Interpret the way of accident prevention
AC5.4 Apply the safety and security norms in the industry
AC5.5 Judge seriously about the environmental issues of Industrialization
AC5.6 Summarize industrial requirements of safety and security



  Subject: Machine Learning
Course Outcomes: Students will able to
C408.1 Distinguish different Machine learning models and its applications.
C408.2 Apply different preprocessing methods to prepare training data set for machine learning.
C408.3 Apply different regression techniques to analyze the prediction model.
C408.4 Design and implement supervised and unsupervised machine learning algorithm based programs.
C408.5 Apply the knowledge of different  Machine learning models and develop applications.
C408.6 Apply knowledge of Meta classifiers and deep learning concepts to development of applications.
  Subject: Information and Cyber Security
Course Outcomes: Students will able to
C409.1 Describe basic concepts of Cryptography and Network Security.
C409.2 Apply appropriate cryptographic principle, algorithm and techniques to write analysis report
C409.3 Explain the concept of various authentication and integrity strategies
C409.4 Identify different types of risk in network security issues
C409.5 Use appropriate security tool to identify threats.
C409.6 Describe cyber security laws and identify scope for further learning
  Subject: Elective III (Compilers)
Course Outcomes: Students will able to
C410b.1 Design and implement a lexical analyzer.
C410b.2 Design and implement a syntax analyzer
C410b.3 Solve problems of semantic analysis and Build intermediate code for language constructs.
C410b.4 Apply code generation techniques.
C410b.5 Apply code optimization techniques
C410b.5 Apply NLP technique for Indian Language Processing.
  Subject: Elective IV  (Cloud Computing )
Course Outcomes: Students will able to
C411.1 Apply the concepts of the cloud computing
C411.2 Develop cloud storage and list  cloud security advantages
C411.3 Compare various  cloud virtualization environment
C411.4 Summarize various cloud based services
C411.5 Discuss Cloud Trends in supporting Ubiquitous Cloud and Internet of Things
C411.6 Extend Current and upcoming applications of cloud computing
  Subject: Project Work Stage II
Course Outcomes: Students will able to
C412.1 Apply the knowledge of mathematics, science and computer engineering fundamentals to the develop solution for project in a team.
C412.2 Implement practically, ideas/real time industrial problems/ current application of respective/multidisciplinary engineering branches.
C412.3 Apply project management skill to develop code as per design of system / product by taking into consideration different issues such as safety, ethics, social, health, legal, cultural and cost standards.
C412.4 Use different modern tools such as Rubby, cloudsim, J2EE, J2SE & J2ME, R-Programming, Eclipse, Python,  Android Studio,Oracle,IoT, Latex etc and hardware like Raspberry Pi, Arduino board, etc.
C412.5 Participate in National/International paper presentation/ journal publication/ project competition activities or file a patent.
C412.6 Prepare project Report (proposals) and present their project work with demo.
  Subject: Audit Course 6 (Business Intelligence )
Course Outcomes: Students will able to
AC6.1 Utilize the concepts of Business Intelligence in real world applications.
AC6.2 Utilize the knowledge of Decision Support System in real world applications.
AC6.3 Interpret the structure of data warehousing.
AC6.4 Interpret and apply concepts of Data Warehousing.
AC6.5 Construct and maintain Business Intelligence System.