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DEPARTMENT OF CSE

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CERTIFICATE AND COURSE



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CERTIFICATE AND COURSE



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About Department

The commencement of the department of CSE was in 2001 and had successfully integrated the years of excellence and still incomparable. The Department offers B.Tech Program in Computer Science and Engineering with an annual intake of 120 and M.Tech program in Computer Science and Engineering with an annual intake of 18. The department has strategically gained experienced faculty members who expertise in various subjects makes academic excellence. The department has engaged in training students towards industry needs with necessary software exposure right from the day of its establishment. The department has acquainted in conducting guest lectures, workshops, student paper presentation and conferences. The department of CSE encourages students to participate in various extra-curricular activities and competitions held by other universities and colleges within the state and outside the state. The students also have won laurels to the college by winning prizes in various competitions..

Vision & Mission

Vision : To evolve as a centre of academic excellence in Computer Science & Engineering by building strong teaching and skill development team.

Mission : To offer high quality graduate and post graduate programs in computer science education and to prepare students for gainful employment. To enhance career opportunities through comprehensive soft skills development. To develop self learning abilities and professional ethics to serve the society.

PEO's,PSO's

PEO's : PEO I. Excel in professional career by acquiring knowledge in Computer Science and IT enabled services.
PEO II. Exhibit professional skills to function as members of multi-disciplinary teams, communicate effectively and be conversant with modern tools.
PEO III. Practice the profession with ethics, social responsibility and exhibit leadership qualities.

ARTICULATION OF PEOs
PEO 1: The graduates should have sound knowledge in the basic science subjects such as Mathematics, Physics and Chemistry. They should have in-depth exposure and knowledge to mathematics to the level required for their branch of engineering specialization. They should have the ability to apply the science and mathematics in solving complex problems in the field of Computer Science & Engineering and related fields.
PEO 2: The graduates should be able to adopt themselves to the industry with minimal amount of training. The graduate should be able to pursue their career in any related industry with high degree of technical competency. Leadership qualities of a student can be initiated by means of high degree of professional abilities.
PEO 3: The graduates should be aware of professional ethics and practice them in their professional life. They must understand the prioritized needs of the society and use professional practice for improving the standards of society. Must ensure that the profession practices should be healthy and must in no way be detrimental to the society.


PSO'S A graduate of the Computer Science and Engineering Program will demonstrate:
PSO1: Professional Skills: The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity.
PSO2: Problem-Solving Skills: The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
PSO3: Successful Career and Entrepreneurship: The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.

CO' s

English-I :
COURSE OUTCOME :

1.Using English languages, both written and spoken, competently and correctly.

2.Improving comprehension and fluency of speech.

3. Gaining confidence in using English in verbal situations.


MATHEMATICS-I :
COURSE OUTCOME :
At the end of the Course, Student will be able to:

1.Solve linear differential equations of first, second and higher order.

2.Determine Laplace transform and inverse Laplace transform of various functions and use Laplace transforms to determine general solution to linear ODE.

3. Calculate total derivative, Jocobian and minima of functions of two variables.


MATHEMATICS-II (Mathematical Methods) :
COURSE OUTCOME :
At the end of the Course, Student will be able to:

1.Calculate a root of algebraic and transcendental equations. Explain relation between the finite difference operators.

2.Compute interpolating polynomial for the given data.

3.Solve ordinary differential equations numerically using Euler's and RK method.

4.Find Fourier series and Fourier transforms for certain functions.

5.Identify/classify and solve the different types of partial differential equations.


APPLIED PHYSICS :
COURSE OUTCOME :

1.Construction and working details of instruments, ie., Interferometer, Diffractometer and Polarimeter are learnt.

2.Study EM-fields and semiconductors under the concepts of Quantum mechanics paves way for their optimal utility.


COMPUTER PROGRAMMING :
COURSE OUTCOME :

1.Understand the basic terminology used in computer programming

2.Write, compile and debug programs in C language.

3.Use different data types in a computer program.

4.Design programs involving decision structures, loops and functions.

5.Explain the difference between call by value and call by reference

6.Understand the dynamics of memory by the use of pointers

7.Use different data structures and create/update basic data files.


ENGINEERING DRAWING :
COURSE OUTCOME :

1.To introduce the use and the application of drawing instruments and to make the students construct the polygons, curves and various types of scales. The student will be able to understand the need to enlarge or reduce the size of objects in representing them.

2.To introduce orthographic projections and to project the points and lines parallel to one plane and inclined to other.

3.To make the students draw the projections of the lines inclined to both the planes.

4.To make the students draw the projections of the plane inclined to both the planes.

5.To make the students draw the projections of the various types of solids in different positions inclined to one of the planes.

6.To represent the object in 3D view through isometric views. The student will be able torepresent and convert the isometric view to orthographic view and vice versa.

6.Understand the dynamics of memory by the use of pointers

7.Use different data structures and create/update basic data files.


ENGLISH �II :
COURSE OUTCOME :

1. Using English languages, both written and spoken, competently and correctly.

2.Improving comprehension and fluency of speech.

3.Gaining confidence in using English in verbal situations.


MATHEMATICS-III :
COURSE OUTCOME :
At the end of the Course, Student will be able to:

1.Determine rank, Eigenvalues and Eigen vectors of a given matrix and solve simultaneous linear equations.

2. Solve simultaneous linear equations numerically using various matrix methods.

3. Determine double integral over a region and triple integral over a volume.

4. Calculate gradient of a scalar function, divergence and curl of a vector function. Determine line, surface and volume integrals. Apply Green, Stokes and Gauss divergence theorems to calculate line, surface and volume integrals.


APPLIED CHEMISTRY :
COURSE OUTCOME :

1.The advantages and limitations of plastic materials and their use in design would be understood. Fuels which are used commonly and their economics, advantages and limitations are discussed.

2. Reasons for corrosion and some methods of corrosion control would be understood.

The students would be now aware of materials like nano-materials and fullerenes and their uses.

3.Similarly liquid crystals and superconductors are understood. The importance of green synthesis is well understood and how they are different from conventional methods is also explained .

4. Conductance phenomenon is better understood. The students are exposed to some of the alternative fuels and their advantages and limitations.


OBJECT-ORIENTED PROGRAMMING THROUGH C++ :
COURSE OUTCOME :

1.Understand the basic terminology used in computer programming

2. Write, compile and debug programs in C++ language. Use different data types in a computer

program.

3. Design programs involving decision structures, loops and functions.

4. Explain the difference between call by value and call by reference


ENVIRONMENTAL STUDIES :
COURSE OUTCOME :

1.The student should have knowledge on

2.The natural resources and their importance for the sustenance of the life and recognize the need to conserve the natural resources

3.The concepts of the ecosystem and its function in the environment. The need for protecting the producers and consumers in various ecosystems and their role in the food.

4.The biodiversity of India and the threats to biodiversity, and conservation practices to protect the biodiversity

5.Various attributes of the pollution and their impacts and measures to reduce or control the pollution along with waste management practices

6.Social issues both rural and urban environment and the possible means to combat the challenges


ENIGINEERING MECHANICS :
COURSE OUTCOME :

At the end of this course, students will be able to:

1.List motivation for learning a programming language

2.Access online resources for R and import new function packages into the R workspace

3.Import, review, manipulate and summarize data-sets in R

4.Explore data-sets to create testable hypotheses and identify appropriate statistical tests

5.Perform appropriate statistical tests using R Create and edit visualizations


STATISTICS WITH R PROGRAMMING :
COURSE OUTCOME :

1.The students completing this course are expected to understand the concepts of forces and its resolution in different planes, resultant of force system

2.Forces acting on a body,their free body diagrams using graphical methods. They are required to understand the concepts of centre of gravity and moments of inertia and their application

3.Analysis of frames and trusses, different types of motion, friction and application of work - energy method.


MATHEMATICAL FOUNDATION OF COMPUTER SCIENCE :
COURSE OUTCOME :

At the end of this course, students will be able to:

1.Student will be able to demonstrate skills in solving mathematical problems

2.Student will be able to comprehend mathematical principles and logic

3.Student will be able to demonstrate knowledge of mathematical modeling and proficiency in using mathematical software

4.Student will be able to manipulate and analyze data numerically and/or graphically using appropriate Software

5.Student will be able to communicate effectively mathematical ideas/results verbally or in Writing.


DIGITAL LOGIC DESIGN :
COURSE OUTCOME :

A student who successfully fulfills the course requirements will have demonstrated:

1.An ability to define different number systems, binary addition and subtraction, 2's complement representation and operations with this representation.

2.An ability to understand the different switching algebra theorems and apply them for logic functions.

3.An ability to define the Karnaugh map for a few variables and perform an algorithmic reduction of logic functions.

4.An ability to define the other minimization methods for any number of variables.Variable Entered Mapping (VEM) and Quine-MeCluskey (QM) Techniques and perform an algorithmic reduction of logic functions.


PYTHON PROGRAMMING :
COURSE OUTCOME :

1.Making Software easily right out of the box.

2.Experience with an interpreted Language.

3.To build software for real needs.

4.Prior Introduction to testing software


DATA STRUCTURES THROUGH C++:
COURSE OUTCOME :

1.Distinguish between procedures and object oriented programming.

2.Apply advanced data structure strategies for exploring complex data structures.

3.Compare and contrast various data structures and design techniques in the area of Performance.

4.Implement data structure algorithms through C++. � Incorporate data structures into the applications such as binary search trees, AVL and B Trees

5.Implement all data structures like stacks, queues, trees, lists and graphs and compare their Performance and trade offs


COMPUTER GRAPHICS :
COURSE OUTCOME :

1.Know and be able to describe the general software architecture of programs that use 3D computer graphics.

2.Know and be able to discuss hardware system architecture for computer graphics. This Includes, but is not limited to: graphics pipeline, frame buffers, and graphic accelerators co-processors.

3.Know and be able to select among models for lighting/shading: Color, ambient light;distant and light with sources; Phong reflection model; and shading (flat, smooth,Gourand, Phong).


SOFTWARE ENGINEERING :
COURSE OUTCOME :

1.Define and develop a software project from requirement gathering to implementation.

2.Obtain knowledge about principles and practices of software engineering.

3.Focus on the fundamentals of modeling a software project.

4.Obtain knowledge about estimation and maintenance of software systems


JAVA PROGRAMMING :
COURSE OUTCOME :

1.Understand Java programming concepts and utilize Java Graphical User Interface in Program writing.

2.Write, compile, execute and troubleshoot Java programming for networking concepts.

3.Build Java Application for distributed environment.

4.Design and Develop multi-tier applications.

5.Identify and Analyze Enterprise applications.


COMPUTER ORGANIZATION :
COURSE OUTCOME :

1.Students can understand the architecture of modern computer.

2.They can analyze the Performance of a computer using performance equation

3.Understanding of different instruction types.

4.Students can calculate the effective address of an operand by addressing modes

5.They can understand how computer stores positive and negative numbers.

6.Understanding of how a computer performs arithmetic operation of positive and negative numbers.


PRINCIPLES OF PROGRAMMING LANGUAGES :
COURSE OUTCOME :
1. Describe syntax and semantics of programming languages
2. Explain data, data types, and basic statements of programming languages
3. Design and implement subprogram constructs, Apply object - oriented, concurrency, and event handling programming constructs
4. Develop programs in Scheme, ML, and Prolog
5. Understand and adopt new programming languages

ADVANCED DATA STRUCTURES :
COURSE OUTCOME :
1. Be able to understand and apply amortised analysis on data structures, including binary search trees, mergable heaps, and disjoint sets.
2. Understand the implementation and complexity analysis of fundamental algorithms such as RSA, primality testing, max flow, discrete Fourier transform.
3. Have an idea of applications of algorithms in a variety of areas, including linear programming and duality, string matching, game-theory

FORMAL LANGUAGE AND AUTOMATA THEORY :
COURSE OUTCOME :
1.Classify machines by their power to recognize languages,
2.Employ finite state machines to solve problems in computing,
3.Explain deterministic and non-deterministic machines,
4.Comprehend the hierarchy of problems arising in the computer science

COMPILER DESIGN :
COURSE OUTCOME :
1.Acquire knowledge in different phases and passes of Compiler, and specifying different types of tokens by lexical analyzer, and also able to use the Compiler tools like LEX, YACC, etc.
2.Parser and its types i.e. Top-down and Bottom-up parsers.
3.Construction of LL, SLR, CLR and LALR parse table.
4.Syntax directed translation, synthesized and inherited attributes.
5.Techniques for code optimization.

UNIX PROGRAMMING :
COURSE OUTCOME :

1.Documentation will demonstrate good organization and readability.

2.File processing projects will require data organization, problem solving and research.

3.Scripts and programs will demonstrate simple effective user interfaces.

4.Scripts and programs will demonstrate effective use of structured programming.

5.Scripts and programs will be accompanied by printed output demonstrating completion of a test plan.

6.Testing will demonstrate both black and glass box testing strategies.


OBJECT ORIENTED ANALYSIS & DESIGN USING UML :
COURSE OUTCOME :
1.Ability to find solutions to the complex problems using object oriented approach
2.Represent classes, responsibilities and states using UML notation
3.Identify classes and responsibilities of the problem domain

DATA BASE MANAGEMENT SYSTEMS :
COURSE OUTCOME :
1. Describe a relational database and object-oriented database.
2. Create, maintain and manipulate a relational database using SQL
3. Describe ER model and normalization f or database design.
4. Examine issues in data storage and query processing and can formulate appropriate solutions.
5. Understand the role and issues in management of data such as efficiency, privacy,
security, ethical responsibility, and strategic advantage.
6. Design and build database system for a given real world problem

OPERATING SYSTEMS :
COURSE OUTCOME :
1. Design various Scheduling algorithms.
2. Apply the principles of concurrency.
3. Design deadlock, prevention and avoidance algorithms.
4. Compare and contrast various memory management schemes.
5. Design and Implement a prototype file systems.
6. Perform administrative tasks on Linux Servers

PROFESSIONAL ETHICSAND HUMAN VALUES :
COURSE OUTCOME :
1. It gives a comprehensive understanding of a variety issues that are encountered by every professional in discharging professional duties.
2. It provides the student the sensitivity and global outlook in the contemporary world to fulfill the professional obligations effectively.

COMPUTER NETWORKS :
COURSE OUTCOME :
1. Understand OSI and TCP/IP models
2. Analyze MAC layer protocols and LAN technologies
3. Design applications using internet protocols
4. Understand routing and congestion control algorithms
5. Understand how internet works

DATA WARE HOUSING AND DATA MINING :
COURSE OUTCOME :
1.Understand stages in building a Data Warehouse
2.Understand the need and importance of preprocessing techniques
3.Understand the need and importance of Similarity and dissimilarity techniques
4.Analyze and evaluate performance of algorithms for Association Rules.
5.Analyze Classification and Clustering algorithms

DESIGN AND ANALYSIS OF ALGORITHMS :
COURSE OUTCOME :
Students who complete the course will have demonstrated the ability to do the following:
1.Argue the correctness of algorithms using inductive proofs and invariants.
2.Analyze worst-case running times of algorithms using asymptotic analysis.
3.Describe the divide-and-conquer paradigm.
4.Derive and solve recurrences describing the performance of divideand- conquer algorithms.
5.Describe the dynamic-programming paradigm and explain when an algorithmic designsituation calls for it.
6.Describe the greedy paradigm and explain when an algorithmic design situation calls for it.

SOFTWARE TESTING METHODOLOGIES :
COURSE OUTCOME :
1. Understand the basic testing procedures.
2. Able to support in generating test cases and test suites.
3. Able to test the applications manually by applying different testing methods and automation tools.
4. Apply tools to resolve the problems in Real time environment.

ARTIFICIAL INTELLIGENCE:
COURSE OUTCOME :
1. Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem.
2. Formalize a given problem in the language/framework of different AI methods (e.g., as a search problem, as a constraint satisfaction problem, as a planning problem, as a Markov decision process, etc).
3. Implement basic AI algorithms (e.g., standard search algorithms or dynamic programming).
4. Design and carry out an empirical evaluation of different algorithms on a problem formalization, and state the conclusions that the evaluation supports.

Cryptography and Network Security :
COURSE OUTCOME :
1. be able to individually reason about software security problems and protection techniques on both an abstract and a more technically advanced level.
2. be able to individually explain how software exploitation techniques, used by adversaries, function and how to protect against them.

UML and Design Patterns :
COURSE OUTCOME :
Students successfully completing this course will be able to:
1. identify the purpose and methods of use of common object-oriented design patterns
2. select and apply these patterns in their own designs for simple programs
3. represent the data dependencies of a simple program using UML
4. represent user and programmatic interactions using UML
5. create design documentation outlining the testable and complete design of a simple program
6. produce and present documents for the purpose of capturing software requirements and specification

Mobile Computing :
COURSE OUTCOME :
1) Able to think and develop new mobile application.
2) Able to take any new technical issue related to this new paradigm and come up with a solution(s).
3) Able to develop new ad hoc network applications and/or algorithms/protocols.
4) Able to understand & develop any existing or new protocol related to mobile environment

Software Testing Methodologies :
COURSE OUTCOME :
By the end of the course, the student should:
1. Have an ability to apply software testing knowledge and engineering methods.
2. Have an ability to design and conduct a software test process for a software testing project.
3. Have an ability to identify the needs of software test automation, and define and develop a test tool to support test automation.
4. Have an ability understand and identify various software testing problems, and solve these problems by designing and selecting software test models, criteria, strategies, and methods.
5. Have an ability to use various communication methods and skills to communicate with their teammates to conduct their practice-oriented software testing projects.
6. Have basic understanding and knowledge of contemporary issues in software testing, such as componentbased software testing problems
7. Have an ability to use software testing methods and modern software testing tools for their testing projects.

Hadoop and Big Data :
COURSE OUTCOME :
1. Preparing for data summarization, query, and analysis.
2. Applying data modelling techniques to large data sets
3. Creating applications for Big Data analytics
4. Building a complete business data analytic solution

Distributed Systems :
COURSE OUTCOME :
1. Develop a familiarity with distributed file systems.
2. Describe important characteristics of distributed systems and the salient architectural features of such systems.
3. Describe the features and applications of important standard protocols which are used in distributed systems.
4. Gaining practical experience of inter-process communication in a distributed environment

Human Computer Interaction :
COURSE OUTCOME :
1. Explain the capabilities of both humans and computers from the viewpoint of human information processing.
2. Describe typical human�computer interaction (HCI) models, styles, and various historic HCI paradigms.
3. Apply an interactive design process and universal design principles to designing HCI systems.
4. Describe and use HCI design principles, standards and guidelines.
5. Analyze and identify user models, user support, socio-organizational issues, and stakeholder requirements of HCI systems.
6. Discuss tasks and dialogs of relevant HCI systems based on task analysis and dialog design.

Cloud Computing :
COURSE OUTCOME :
1. Understanding the key dimensions of the challenge of Cloud Computing
2. Assessment of the economics , financial, and technological implications for selecting cloud computing for own organization
3. Assessing the financial, technological, and organizational capacity of employer's for actively initiating and installing cloud-based applications.
4. Assessment of own organizations' needs for capacity building and training in cloud computing-related IT areas

HOD Profile


S.Sreenivasulu is the Professor and Head of the computer science & engineering Department. He is pursuing PhD in Computer Science & Engineering from JNTUH. He received M.Tech in Computer Science & Engineering from College of Engineering JNTU, Kakinada, B.Tech in Computer Science & Engineering from G Pullareddy Engineering College, Kurnool. He has a teaching experience of 20 years in this prestigious Institution. He has published many National Journals and Conferences. S.Sreenivasulu has strong zeal towards Professional Activities and member in many Professional Societies like IAENG, ACM & ISTE. His research interests include Data Mining, Machine Learning, and Information Security. He has organized many Faculty Development Programmes and Training Programs. He is a committed individual and an excellent Teacher, who has the efficacy to make the dreams of students come true with a meticulous planning and relentless hard work. He has excellent communication skills and always accessible to the stakeholders.

Facilities/Laboratories

Laboratories : All labs are having Uninterruptible Power Supply with solar system which ensure unhampered working of computers. Each laboratory maintains entry register detailing the usage of individual machine by students with entry and exit time. Each laboratory maintains stock register which particularization of entry of new computer peripherals. Also each lab having printer utilization register which records the employment of individual printers. One Teaching faculty and a Lab instructor will be incharge of the overall functioning/maintenance of each lab./p>

Laboratories


Additional Facilities

1. Department library
2. Department seminar hall
3. Tutorial class rooms
4. Class Rooms with LCD & internet

DIGITAL CLASS ROOMS :
SEMINAR HALL :
GD ROOM :
DEPARTMENT LIBRARY :

Events

Achievements

1. FACULTY ACHIEVEMENTS
2. STUDENTS ACHIEVEMENTS

Toppers

BATCH: 2019-23


BATCH: 2018-22


BATCH: 2017-21


BATCH: 2016-20


BATCH: 2015-19


BATCH: 2014-18


BATCH: 2013-17


BATCH: 2012-16


BATCH: 2011-15


BATCH: 2010-14


BATCH: 2009-13

Internships

Internships Link

Prakasam Engineering College

Kandukur, Prakasam District,
Andhra Pradesh

Phone : +91-8598-222288,

Email : pec@prakasamec.com

Directions to Campus

Ongole to Kandukur � 50 Kms: Non Stop Buses every 30 Mins. Singrayakonda(Railway Station) to Kandukur � 13 Kms: Local Buses are available Kandukur to College � 3 Kms: 5 Mins travel time either by Bus or Auto

Map

Education is the manifestation the perfection already in man.
Swami Vivekananda

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