About The Department

The Department of Computer Science was established in the year 2011 with the objective of imparting quality education in the field of Computer Science with an annual intake of 60 members. The department is witnessing a period of exciting growth and opportunity propelled by the growth of technology and its recognition through excellence. Due to vast scope of job in different areas and opportunities provided by our department and institution the demand for Computer Science and Engineering has grown which led to the increase the strength at a first attempt it has been enhanced to 120 in the year 2013 and later it has enhanced to 180 in the year 2020. The Department has modern facilities for teaching, learning and research. The Department offers various facilities to cater the needs of the students. 

            The department of computer science and engineering has state or art laboratories with high speed computing facilities to meet the needs of the students.  All the computer labs are provided with 100 Mbps internet facility. 

VISION:

            To produce the world class professionals to serve the Mankind, industry and research organizations of the nation.

MISSION:

Providing an in-depth theoretical and practical knowledge as per the curriculum of computer science and engineering discipline in coherence with the industry needs.

Furnishing the skills required to become and grow as a competent professional.

Enlightening the young minds in rural areas with best practices in computer education

Infusing the robust virtuousness, workmanship, innovative research capabilities and leadership abilities.

PROGRAM OUTCOMES

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

PO3: 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

PO4: 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

PO5: 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.

PO6: 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

PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Life-long learning: 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.

PO12: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PSO

PSO1: An ability to apply design and development principles in the construction of software systems of varying complexity within economic, environmental and social constraints.

PSO2: An understanding of professional, ethical, legal, security, and social issues and responsibilities for the computing profession.

PSO3: To exhibit professionalism, ethical attitude, communication ability collaboration in their profession and adapt to current trends through lifelong learning.

List of Faculty

Department of Computer Science and Engineering

The CSE Department of Sree Venkateswara College of Engineering boasts of state-of-the-art laboratory facilities for Computer Programming & Data Structures, Data Base Management Systems, Object Oriented Programming through Java, Operating Systems, Objected Oriented Analysis and Design, Software Testing, Web Technologies, Data Mining, Mobile Application Development, Python Programming. The dedicated laboratories house computers, equipped with advanced hardware and software technologies making it apt for both teaching and research activities.

                                  COMPUTER CENTER -1

Computer Programming & Data Structures Lab

         Computer Programming & Data Structures Lab subject is designed for the first year and first semester of B. Tech course. The subject is designed to help the students learn C Programming language and solve problems by implementing algorithms using C language, Data Structures is designed to strengthen the ability to identify and apply suitable data structures for a given real world problem.

Data Warehousing & Mining Lab

   Data Warehousing & Mining Lab subject is designed for the third year second semester of B. Tech course. The subject is designed to enable the students to learn how to build a data warehouse and query it (using open source tools like Pentaho Data Integration and Pentaho Business Analytics) Students will learn to perform data mining tasks using a data mining toolkit (such as open source WEKA), understand the data sets and data preprocessing. They will also learn to demonstrate the working of algorithms for data mining tasks such association rule mining, classification, clustering and regression and to exercise the data mining techniques with varied input values for different parameters.

Data Base Management Systems Lab

Data Base Management Systems Lab subject is designed for the second year, first semester of B. Tech course. The subject is designed to enable the students to create databases, query them using SQL, design forms and generate reports, understand the significance of integrity constraints, referential integrity constraints, triggers and assertions.

Operating Systems Lab

Operating Systems Lab subject is designed for the third year first semester of B. Tech course. The subject is designed to enable the student to understand the design aspects of operating system and to solve various synchronization problems.

Python Programming Lab

Python Programming Lab subject is designed for the Second year and first semester of B. Tech course. The subject is designed to help the students learn Python Programming language and solve problems, it is designed to strengthen the ability to identify and apply suitable data structures for a given real world problem.

COPUTER CENTER-2

Mobile Application Development Lab

Mobile Application Development Lab subject is designed for the fourth year first semester of B. Tech course. The subject is Designed to enable students to understand the components and structure of mobile application development frameworks for Android and Windows OS based mobiles, to learn the basic and important design concepts of mobile application development and also to understand the capabilities and limitations of mobile devices.

Grid and Cloud Computing Lab

Grid and Cloud Computing Lab subject is designed for the fourth year first semester of B. Tech course. The subject is designed to enable students to understand the Globlus tool kits for grid and cloud environment developing web services/Applications in grid framework, learn how to work on cloud services like IAAS, PAAS, and SAAS.

OOP’S through Java Lab

       Object Oriented Programming through Java (Java) Lab subject is designed for the second year second semester of B. Tech course. The subject is designed to enable students to use object orientation to solve problems and use java language to implement them, to experiment with the syntax and semantics of java language and gain experience with java programming.

OOAD & Software Testing Lab

OOAD & Software Testing Lab subject is designed for the third year first semester of B. Tech course. The subject is designed to practice the notation for representing various UML diagrams. Students will learn to analyze and design the problem by representing using UML diagrams and become familiar with all phases of OOAD.

Web and Internet Technologies Lab

Web And Internet Technologies Lab subject is designed for the third year second semester of B. Tech course. The subject is designed to introduce the students to client side scripting with Java script and DHTML, server side programming with Java Servlets, JSP and PHP and the basic web concepts and Internet protocols.

Faculty ACHIVEMENTS

STUDENTS ACHIEVEMENTS

INTERNSHIP PROGRAMME

FACULTY ADDITIONAL RESPONSIBILITES

COURSE OUTCOMES

II CSE R19 I SEM

(19A54303) MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE

After completion of this course the student would be able to

• Evaluate elementary mathematical arguments and identify fallacious reasoning (L5).
• Understand the properties of Compatibility, Equivalence and Partial Ordering relations,

Lattices and Has see Diagrams (L1).

• Understand the general properties of Algebric Systems, Semi Groups, Monoids and

Groups (L1).

• Design solutions for problems using breadth first and depth first search techniques (L6)
• Solve the homogeneous and non-homogeneous recurrence relations (L3).
• Apply the concepts of functions to identify the Isomorphic Graphs (L2).
• Identify Euler Graphs, Hamilton Graph and Chromatic Number of a graph (L2).

19A05301) DIGITAL LOGIC DESIGN

Students should be able to

• Analyze the number systems and codes.
• Decide the Boolean expressions using Minimization methods.
• Design the sequential and combinational circuits.
• Apply state reduction methods to solve sequential circuits.
• Describe various types of memories

(19A99304) DESIGN THINKING

Student should be able to

• Generate and develop different design ideas.
• Appreciate the innovation and benefits of design thinking.
• Experience the design thinking process in IT and agile software development.
• Understand design techniques related to variety of software services

(19A05302T) DATABASE MANAGEMENT SYSTEMS

Students will be able to:

1. Design a database for a real world information system
2. Define transactions which preserve the integrity of the database
3. Generate tables for a database
4. Organize the data to prevent redundancy
5. Pose queries to retrieve the information from database.

(19A05303T) OBJECT ORIENTED PROGRAMMING THROUGH JAVA

After the completion of the course the student will be able

• To solve real world problems using OOP techniques.
• To apply code reusability through inheritance, packages and interfaces
• To solve problems using java collection framework and I/O classes.
• To develop applications by using parallel streams for better performance.
• To develop applets for web applications.
• To build GUIs and handle events generated by user interactions.
• To use the JDBC API to access database

(19A05304T) PYTHON PROGRAMMING

Student should be able to

• Apply the features of Python language in various real applications.
• Select appropriate data structure of Python for solving a problem.
• Design object oriented programs using Python for solving real-world problems.
• Apply modularity to programs.

II CSE R19 II SEM

(19A54401) NUMBER THEORY AND APPLICATIONS

After the completion of course, student will be able to

• Understand number theory and its properties.
• Understand principles on congruences
• Develop the knowledge to apply various applications
• Develop various encryption methods and its applications

(19A05401) COMPUTER ORGANIZATION

At end of the course the student will be able to

• Understand computer architecture concepts related to design of modern processors, memories and I/Os

• Identify the hardware requirements for cache memory and virtual memory
• Design algorithms to exploit pipelining and multiprocessors
• Understand the importance and tradeoffs of different types of memories.
• Identify pipeline hazards and possible solutions to those hazards

(19A05402T) DESIGN AND ANALYSIS OF ALGORITHMS

Determine the time complexity of an algorithm by solving the corresponding recurrence equation

• Apply the Divide and Conquer strategy to solve searching, sorting and matrix multiplication problems.

• Analyze the efficiency of Greedy and Dynamic Programming design techniques to solve the optimization problems.

• Apply Backtracking technique for solving constraint satisfaction problems.
• Analyze the LC and FIFO branch and bound solutions for optimization problems, and compare the time complexities with Dynamic Programming techniques.

• Define and Classify deterministic and Non-deterministic algorithms; P, NP, NP –hard and NP-complete classes of problems.

(19A52401) ENTREPRENEURSHIP

Students should be able to

• Design business model and business plan
• Demonstrate the Venture infront of investors
• Build the team for a start-up
• Illustrate successful cases of start-ups
• Develop strategies for market survey.

(19A05403T) OPERATING SYSTEMS

By the end of this course students will be able to:

• Realize how applications interact with the operating system
• Analyze the functioning of a kernel in an Operating system.
• Summarize resource management in operating systems
• Analyze various scheduling algorithms
• Examine concurrency mechanism in Operating Systems
• Apply memory management techniques in design of operating systems
• Understand the functionality of file system
• Compare and contrast memory management techniques.
• Understand the deadlock prevention and avoidance.
• Perform administrative tasks on Linux based systems.

(19A05404T) SOFTWARE ENGINEERING

Student should be able to

• Obtain basic software life cycle activity skills.
• Design software requirements specification for given problems.
• Implement structure, object oriented analysis and design for given problems.
• Design test cases for given problems.
• Apply quality management concepts at the application level.

III CSE R15 I SEM

15A05501 OPERATING SYSTEMS

• Able to use operating systems effectively.
• Write System and application programs to exploit operating system functionality.
• Add functionality to the exiting operating systems
• Design new operating systems

15A05502 COMPUTER NETWORKS

• Ability to choose the transmission media depending on the requirements.
• Ability to design new protocols for computer network.
• Ability to configure a computer network logically.

15A05503 OBJECT ORIENTED ANALYSIS & DESIGN

• Ability to find solutions to the complex problems using object oriented approach

• Represent classes, responsibilities and states using UML notation
• Identify classes and responsibilities of the problem domain

          15A05504 PRINCIPLES OF PROGRAMMING LANGUAGES

• Ability to select appropriate programming language for problem solving
•  Ability to design new programming language

15A05505 SOFTWARE TESTING

• Understand the basic testing procedures.
• Able to support in generating test cases and test suites.
• Able to test the applications manually by applying different testing methods and automation tools.

• Apply tools to resolve the problems in Real time environment.

15A05506 INTRODUCTION TO BIG DATA

• To gain knowledge about working of Hadoop File System.
• Ability to analyze Big Data using different tools.

III CSE R15 II SEM

15A05601 COMPILER DESIGN

• Able to design a compiler for a simple programming language
• Able to use the tools related to compiler design effectively and efficiently
• Ability to write optimized code

15A05602 DATA WAREHOUSING & MINING

• Understand the basic concepts of data warehouse and data Mining
• Apply pre-processing techniques for data cleansing
• Analyze and evaluate performance of algorithms for Association Rules
• Analyze Classification and Clustering algorithms

15A05603 DESIGN PATTERNS

• Know the underlying object oriented principles of design patterns.
• Understand the context in which the pattern can be applied.
• Understand how the application of a pattern affects the system quality and its Tradeoffs

15A05604 DESIGN AND ANALYSIS OF ALGORITHMS

• Analyze the complexity of the algorithms
• Use techniques divide and conquer, greedy, dynamic programming, backtracking, branch and bound to solve the problems.

• Identify and analyze criteria and specifications appropriate to new problems, and choose the appropriate algorithmic design technique for their solution.

• Able to prove that a certain problem is NP-Complete.

15A05605 WEB AND INTERNET TECHNOLOGIES

• Ability to create dynamic and interactive web sites
• Gain knowledge of client side scripting using java sript and DHTML.
• Demonstrate understanding of what is XML and how to parse and use XML data
• Able to do server side programming with Java Servelets, JSP and PHP.
• Able to design rich client presentation using AJAX.

15A05606 ARTIFICIAL INTELLIGENCE

• Select a search algorithm for a problem and estimate its time and space complexities.

• Possess the skill for representing knowledge using the appropriate technique for a given problem

• Possess the ability to apply AI techniques to solve problems of game playing, expert systems, machine learning and natural language processing.

IV CSE R15 I SEM

15A52601 MANAGEMENT SCIENCE

This course enables the student to know the principles and applications of management knowledge and exposure to the latest developments in the field. This helps to take effective and efficient management decisions on physical and human resources of an organization.

15A05702 INFORMATION SECURITY

• Protect the network from both internal and external attacks
• Design of new security approaches
• Ability to choose the appropriate security algorithm based on the requirements.

15A05701 GRID AND CLOUD COMPUTING

The student should be able to

• Apply the security models in the grid and the cloud environment.
• Use the grid and cloud tool kits.
• Apply the concept of virtualization.
• Apply grid computing techniques to solve large scale scientific problems

15A05703 MOBILE APPLICATION DEVELOPMENT

• Create data sharing with different applications and sending and intercepting SMS.

• Develop applications using services and publishing android applications.
• To demonstrate their skills of using Android software development tools

15A05704 SOFTWARE ARCHITECTURE

The student will be able to:

• Design and motivate software architecture for large scale software systems
• Recognize major software architectural styles, design patterns, and frameworks
• Describe a software architecture using various documentation approaches and architectural

• description languages
• Generate architectural alternatives for a problem and select among them
• Use well-understood paradigms for designing new systems

15A05707 SOFTWARE PROJECT MANAGEMENT

• Describe and determine the purpose and importance of project management from the perspectives of planning, tracking and completion of project.

• Compare and differentiate organization structures and project structures
• Implement a project to manage project schedule, expenses and resources  with the application of suitable project management tools

IV CSE R15 II SEM

15A05802 MOBILE COMPUTING

• Students able to use mobile computing more effectively
• Students gain understanding of the current topics in MANETs and
• WSNs, both from an industry and research point of views.
• Acquire skills to design and implement a basic mobile ad hoc or wireless sensor network via simulations.

15A05806 CYBER SECURITY

• Analyze threats and risks within context of the cyber security architecture
• Appraise cyber security incidents to apply appropriate response
• Evaluate decision making outcomes of cyber security scenarios

Department of Computer Science and Engineering

Bridge course Report

Academic year – 2020-21

Department of Computer Science and Engineering

Bridge course Report

On

Probability and Statistics

Circular

It is informed to that the students who joined in lateral entry II-I in the academic year 2020-21, CSE department going to conduct Bridge course is to fill gap between existing subject requirements in their academic curriculum.

All the faculty members are requested to conduct the bridge course classes 08.00 am to 09.30 am as per following Time Table.

HOD                                                                              PRINCIPAL

Circular

It is informed to that the students who joined in lateral entry II-I in the academic year 2019-20, CSE department going to conduct Bridge course is to fill gap between existing subject requirements in their academic curriculum.

All the faculty members are requested to conduct the bridge course classes 08.00 am to 09.30 am as per following Time Table.

HOD                                                                              PRINCIPAL

Circular

It is informed to that the students who joined in lateral entry II-I in the academic year 2019-20, CSE department going to conduct Bridge course is to fill gap between existing subject requirements in their academic curriculum.

All the faculty members are requested to conduct the bridge course classes 08.00 am to 09.30 am as per following Time Table.

HOD                                                                              PRINCIPAL