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ABOUT DEPARTMENT OF INFORMATION TECHNOLOGY

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ABOUT INFORMATION TECHNOLOGY

The Department of Information Technology was established in 2008-2009. The Department offers a four year graduate program in Information Technology with an annual intake of 60 students. The department offers hands on training to the students to meet the requirements of industry through well-equipped and updated technological laboratories with state of the art equipment under the guidance of highly qualified, experienced and dedicated faculty.

VISION

To develop innovative technocrats with technical skills for industry and society in the field of Information Technology.

MISSION
M1 To provide interactive environment and technical knowledge through self learning and skill development programs to stand out in the global competitive world.
M2 To provide hands on experience on emerging technologies and to make them industry ready.
M3 To imbibe the professional ethics & social values in the students in order to create responsible citizens.

PROGRAM EDUCATIONAL OBJECTIVES (PEO’s):
PEO1 Graduates will have Capability to design and develop new software products as per requirements of the various domains
PEO Graduates should have more enthusiastic to adopt new technologies and to improve existing solutions by reducing complexity to serves the society.
PEO3 Graduates will be Ability to build and lead the team to achieve organizational goals.

PROGRAM OUTCOMES (PO’s):
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 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.
PO12 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

PSOs
PSO1 The ability to design and develop computer programs for analyzing the data.
PSO2 To encourage the research in software field that contributes to enhance the standards of human life style and maintain ethical values.

FACULTY ACHIEVEMENTS

TEACHING AND LEARNING PRACTICES

Implementation of Mentor-Mentee concept : Enables focus on individual students, increasing the scope of giving guidance, counseling and monitoring for better improvement of each and every student.

Group Discussions: The students participate in mock interviews and group discussions to give them a sense of confidence and groom them towards professionalism.

Assignments: The best teaching practice-formative assessment, assignment design to foster student engagement and ownership.

Placement Oriented Training : Campus recruitment training (CRT) is given to the students from II year onwards to cater the needs of students for placements.

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Previous Question Papers

Facilities

Web Technology Lab

Web Technology refers to the various tools and techniques that are utilized in the process of communication between different types of devices over the internet. A web browser is used to access web pages. Web browsers can be defined as programs that display text, data, pictures, animation, and video on the Internet. Hyperlinked resources on the World Wide Web can be accessed using software interfaces provided by Web browsers. Web Technology can be classified into the following sections: The World Wide Web is based on several different technologies: WWW: Web browsers, Hypertext Markup Language (HTML) and Hypertext Transfer Protocol (HTTP). The current Lab facility was inaugurated in 2018.


Software Engineering Lab

This lab deals with the analysis and design of a software problem .the tool used in a lab is rational rose .this tool is used for a object oriented design of a problem . We draw a uml diagram in a rational rose which deals with the objects and classes in a system .The Unified Modeling Language or UML is is a mostly graphical modelling language that is used to express designs. It is a standardized language in which to specify the artefacts and components of a software system. It is important to understand that the UML describes a notation and not a process. It does not put forth a single method or process of design, but rather is a standardized tool that can be used in a design process. The current Lab facility was inaugurated in 2015.


Operating Systems lab

The goal of this course is to have students understand and appreciate the principles in the design and implementation of operating systems software. Introduction to operating systems concepts, process management, memory management, file systems, virtualization, and distributed operating systems. The laboratory exercises will include familiarization with UNIX system calls for process management and inter-process communication; Experiments on process scheduling and other operating system tasks through simulation/implementation. Finally, the students would require to apply the operating system concepts by experimenting on either xv6/minix operating systems. The current Lab facility was inaugurated in 2015.


Object Oriented Programming with JAVA Lab

This lab reinforces understanding of basic object oriented programming concepts (objects, classes and subclasses, methods) and their expression in Java. It also provides practice using non-object aspects of Java (loops, conditionals, etc.). The current Lab facility was inaugurated in 2015.


Data Science Lab

The depth and breadth of our Analytics experience and expertise can help deliver transformational outcomes for your organization and achieve the ultimate goal: growth! At Data Science Lab (DSL), our unwavering focus is to help you find intelligent and data-driven solutions to your most critical and complex business challenges. At our core is an unparalleled high-performance philosophy that puts the customer first and delivers value at each touch-point of the chain. Welcome to our world – where data drives success. The current Lab facility was inaugurated in 2016.


Data Base Management Systems Lab

This lab is dedicated for students to work on practical experiments, projects and research work, related to courses such as Database Management Systems, Distributed Data Computing, Hadoop, Data Warehousing and Mining, and Big Data Analysis. The objective of this lab course is to understand the practical applicability of database management system concepts. Working on existing database systems, designing of database, creating relational database, analysis of table design.Oracle database is the most widely used object-relational database management software. The latest version of this tool is 12c where c means cloud computing. It supports multiple Windows, UNIX, and Linux versions. The current Lab facility was inaugurated in 2014.


Computer Networks & Operating Systems Lab

lab course is involving in the development of your practical skills in Operating System Concepts and Networking Lab. This lab is an attempt to upgrade and enhance your theoretical skills obtained from theory to a practical environment. It will help you explore advanced local area network and wide area network administration provided by current Microsoft Windows 2000, LINUX and Unix network operating systems. Most of the exercises include installation and configuration of the networking services like TCP/IP, DNS, DHCP, FTP, SMTP, etc. This section will help you work with the operating concepts of popular network operating systems and develop your skills to manage the real time networking using these operating systems. The current Lab facility was inaugurated in 2015.


Artificial Intelligence And Machine Learning Lab

The lab focuses on the recent advances in some sub-areas of Artificial Intelligence and Machine Learning (AI and ML). The major thrust areas presently being researched in this lab include Image and Video Content Analysis, Computer Vision, Neural Architecture Search, Medical Image computing and Probabilistic Machine Learning. Besides research, the lab also provides a strong foundation of Machine Learning to students and industry professionals by offering courses and labs in Machine Learning and related areas. Moreover, the lab provides a thorough understanding of the recent advances in Computer Vision, Deep Learning and Statistical Computing to the students. The current Lab facility was inaugurated in 2017.


INFORMATION TECHNOLOGY SEMINAR HALL


FACULTY LIST

S NO Name of the Faculty Profiles Designation DOJ Qualifiaction Nature of Association
1 Dr.A.Seshagiri Rao Professor&HOD 16.10.2010 M.Tech, Ph.D Regular
2 Dr.G.Vijaya Kumar Professor 01.07.2020 M.Tech, Ph.D Regular
3 Dr.S.Sravanvardhan Rao Associate Professor 18.07.2022 M.Tech, Ph.D Regular
4 Dr.P.Suribabu Associate Professor 24.07.2022 M.Tech, Ph.D Regular
5 Mr.K.Manohara Rao Assistant Professor 01.09.2019 M.Tech, (Ph.D) Regular
6 Mr.Y.Srinath Assistant Professor 12.08.2021 M.Tech Regular
7 Mrs.G.Aruna Assistant Professor 01.07.2021 M.Tech Regular
8 Mr.I.Madhava Assistant Professor 01.07.2021 M.Tech Regular
9 Mr.M.Naveen Kumar Assistant Professor 12.08.2021 M.Tech Regular
10 Mr.M.Madhava Reddy Assistant Professor 25.06.2018 M.Tech Regular
11 Mr.D.Anandam Assistant Professor 20.07.2022 M.Tech Regular
12 Mr. K. Krishna Chaithanya Kumar Assistant Professor 01.06.2021 M.Tech Regular

Syllabus

EXTRA CURRICULAR ACTIVITIES

Toppers List

S.NO ROLL NUMBER NAME OF THE CANDIDATE YEAR OF PASS PERCENTAGE
1 08KQ1A1212 DARAPUNENI SUHASINI 2012 77.69%
2 09KQ1A1219 K. VENKATA BHAVANI 2013 72.90%
3 10KQ1A1217 K. DURGA BHAVANI 2014 76.87%
4 11KQ1A1232 PANDITI MOUNIKA 2015 72.08%
5 13KQ1A1204 BOPPUDI. JAHNAVI 2017 83.00%
6 14KQ1A1201 A. ANURADHA 2018 82.25%
7 15KQ1A1209 G. NIHARIKA 2019 81.45%
8 16KQ1A1213 GUDDET SIRISHA 2020 81.40%
9 17KQ1A1242 YARRAMREDDY NAGAMANI 2021 81.70%
10 18KQ1A1239 T. LAKSHMI RAMANI 2022 9.31CGPA
11 19KQ1A1218 POTHURAJU SUSHMA 2023 9.52CGPA

Innovations