Information Technology

DEPARTMENT


Welcome Note by the Department - HOD.

Hello All,

Greetings! On behalf of the faculty members, staff, and students of the Department of Information Technology of Sri Venkateswara Engineering College (SVEC) at Tirupati, I welcome you all to the creative world of IT. I believe the IT discipline has been widely recognized as an essential source and technique for the advancements in all spheres of human Endeavour now and in future. In SVEC all the students gets the opportunity to excel in their academic activities. This is the department where students publish papers in international journals, at the same time a student wishing to achieve some recognition in extra-curricular or co-curricular activities will also find the atmosphere helpful.

Among the reasons why our graduates are such favorites of industry is the consistent hands-on experience-based approach of our curriculum, our excellent laboratories, the long-time connections between Department and the industry. Whether you are a student, parent, prospective faculty member or a curious member of the public, I invite you to read our web pages and find a way to become part of the SVEC family. We hope you will also have the opportunity to visit us in our state-of-the-art facilities.

HOD-IT

VISION & MISSION


Vision of the Department

To become a center of excellence that grooms globally competent and ethical engineers with the talent for higher learning and research and the capability to think critically of innovative solutions for diverse social needs.

Mission of the Department

  • To impart quality technical education with strong foundations using superior academic standards and well-equipped infrastructure.
  • To provide excellent pedagogies through qualified and highly skilled faculty who are trained on a regular basis.
  • To establish research labs and a center of excellence that will nurture the technical skills by training them with state of art technology required for the industry.
  • To inculcate professional and ethical values in the students along with leadership qualities so that they are well equipped to handle the dynamic and diverse challenges they will face as engineers.

PROGRAM EDUCATIONAL OBJECTIVES


The program educational objectives of the Information Technology program describe accomplishments that graduates are expected to attain after 3 to 5 years of graduation.

PEO 1 -To exhibit strong fundamental concepts of Information Technology along with advanced knowledge on emerging technologies so that they can devise solutions for real time & social issues.

PEO 2 - To be employed, to pursue higher studies, to become entrepreneurs and also to have an excellent aptitude for research.

PEO 3 - To be technically sound, socially acceptable and ethical professionals with global competence.

PEO 4 -To be young leaders with the capability to lead teams with good communication skills and excellence in social awareness.

PROGRAM SPECIFIC OUTCOMES


Our current PSOs are as follow:

PSO 1 - An ability to get an employment in Information Technology field and related software industries.

PSO 2 - An ability to participate in competitive examinations and enable them to pursue higher education.

PROGRAM OUTCOMES


  • ENGINEERING KNOWLEDGE:- Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • ETHICS: - Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • INDIVIDUAL AND TEAM WORK: - Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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.
  • 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.

CAREER OPPORTUNITIES


If you’ve studied computer science, you will have gained many technical and non-technical skills which are highly valued by employers, from leadership to programming. The increasing scope of computer science means you have plenty of choice in a wide variety of highly specialized areas.

Computer technologies are integral to modern life, so you’re likely to find your computer science skills in high demand across many different industries. These include financial organizations, management consultancy firms, software houses, communications companies, data warehouses, multinational companies, governmental agencies, universities and hospitals.

As always, it’s extremely beneficial to have completed relevant work experience. You should also consider compiling a portfolio of your own independent projects outside of your degree, which could be in the form of programming, moderating online or even building an app. This will demonstrate to employers your interest in the subject and your problem-solving skills, creativity and initiative.

DEPARTMENT LABS


  • Python Programming Lab
  • Java Programming Lab
  • C & Data structures Lab
  • Database Management System Lab
  • Object Oriented Analysis Design & Testing Lab
  • Computer Networks Lab
  • Mobile Application Development Lab

COURSE STRUCTURE


Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54101 Linear Algebra and Calculus 3 3 40 60 100
20A51101T Chemistry 3 3 40 60 100
20A05201T C-Programming & Data Structures 3 3 40 60 100
20A02101T Basic Electrical & Electronics Engineering 3 3 40 60 100
20A03202 Engineering Workshop 3 1.5 40 60 100
20A05202 IT Workshop 3 1.5 40 60 100
20A51101P Chemistry Lab 3 1.5 40 60 100
20A05201P C-Programming & Data Structures Lab 3 1.5 40 60 100
20A02101P Basic Electrical & Electronics Engineering Lab 3 1.5 40 60 100
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54202 Probability & Statistics 3 3 40 60 100
20A56201T Applied Physics 3 3 40 60 100
20A52101T Communicative English 3 3 40 60 100
20A05101T Python Programming & Data Science 3 0 0 3 40 60 100
20A03101T Engineering Drawing 1 2 40 60 100
20A03101P Engineering Graphics Lab 2 1 40 60 100
20A52101P Communicative English Lab 3 1.5 40 60 100
20A56201P Applied Physics Lab 3 1.5 40 60 100
20A05101P Python Programming & Data Science Lab 3 1.5 40 60 100
20A52201 Universal Human Values 3 40 40
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54304 Discrete Mathematics & Graph Theory 3 0 0 3 30 70 100
20A04304T Digital Electronics& Microprocessors 3 3 30 70 100
20A05303 Computer Organization 3 3 30 70 100
20A05301T Advanced Data Structures & Algorithms 3 3 30 70 100
20A05302T Object Oriented Programming Through java 3 3 30 70 100
20A04304P Digital Electronics& Microprocessors Lab 3 1.5 30 70 100
20A05301P Advanced Data Structures and Algorithms Lab 3 1.5 30 70 100
20A05302P Object Oriented Programming Through Java Lab 3 1.5 30 70 100
20A05305 Skill oriented course - I Application development with Python 1 2 2 30 70 100
20A99201 Environmental Science MC 3 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
20A54404 Deterministic & Stochastic Statistical Methods 3 0 0 3 30 70 100
20A05401T Database Management Systems 3 0 0 3 30 70 100
20A05402T Operating Systems 3 0 0 3 30 70 100
19A05404T Software Engineering 3 0 0 3 30 70 100
Humanities Elective– I
20A52301 Managerial Economics & Financial Analysis 3 0 0 3 30 70 100
20A52302 Organizational Behaviour 3 0 0 3 30 70 100
20A52303 Business Environment 3 0 0 3 30 70 100
20A05401P Database Management Systems Lab 0 0 3 1.5 30 70 100
20A05402P Operating Systems Lab 0 0 3 1.5 30 70 100
20A05403P Software Engineering Lab 0 0 3 1.5 30 70 100
20A12401 Software Development for Portable Devices 1 0 2 2 30 70 30
20A99401 Design Thinking for Innovation 2 1 30 30
20A99301 NSS/NCC/NSO Activities 2 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A05504T Computer Networks 3 0 0 3 30 70 100
19A05502T Artificial Intelligence 3 0 0 3 30 70 100
19A05503T Object Oriented Analysis Design & Testing 2 0 0 2 30 70 100
19A52601T English Communications 3 0 0 3 30 70 100
Professional Elective-I
19A05602T Big Data Analytics 3 0 0 3 30 70 100
19A05702T Software Testing 3 0 0 3 30 70 100
19A12501 No SQL Databases 3 0 0 3 30 70 100
Open Elective-I
19A02506a Experimental stress analysis. 3 0 0 3 30 70 100
19A01506b Building Technology 3 0 0 3 30 70 100
19A02506a Electrical Engineering Materials 3 0 0 3 30 70 100
19A03506a Introduction to Hybrid and Electric Vehicles 3 0 0 3 30 70 100
19A03506b Rapid Prototyping 3 0 0 3 30 70 100
19A04506a Analog Electronics 3 0 0 3 30 70 100
19A04506b Digital Electronics 3 0 0 3 30 70 100
19A05506a Free and Open Computer Graphics and Multimedia Animation Sources Systems 3 0 0 3 30 70 100
19A05506b Brewing Technology 3 0 0 3 30 70 100
19A27506a Computer Applications in Food Technology 3 0 0 3 30 70 100
19A27506b Optimization Techniques 3 0 0 3 30 70 100
19A52506a Technical Communication and Presentation Skills 3 0 0 3 30 70 100
19A05504P Computer Networks Laboratory PCC 0 0 3 1.5 30 70 100
19A05503T Object Oriented Analysis Design & Testing Lab PCC 0 0 2 1 30 70 100
19A52601P English Communications 0 0 3 1.5 30 70 100
19A05507 Socially Relevant Project 0 0 0 0.5 30 30
19A99501 Constitution of India MC 3 0 0 0 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A12601T Web Technologies 2 1 0 3 30 70 100
19A05603a Systems Software and Compiler Design 3 1 0 3 30 70 100
19A12602T Data warehousing and Data mining 3 0 0 3 30 70 100
Professional Elective-II
19A12603 Cryptography & Network Security. 3 0 0 3 30 70 100
19A05603b Machine Learning 3 0 0 3 30 70 100
19A05603c Design Patterns 3 0 0 3 30 70 100
Open Elective-II
19A01604a Industrial waste and waste water management 3 0 0 3 30 70 100
19A01604b Building Services & Maintenance. 3 0 0 3 30 70 100
19A02604a Industrial Automation. System Reliability Concepts. 3 0 0 3 30 70 100
19A03604b Introduction to Mechatronics 3 0 0 3 30 70 100
19A03604a Optimization techniques through MATLAB 3 0 0 3 30 70 100
19A04604b Basics of VLSI. 3 0 0 3 30 70 100
19A04604a Principles of Communication Systems 3 0 0 3 30 70 100
19A05604b Fundamentals of VR/AR/MR 3 0 0 3 30 70 100
19A05604a Data Science 3 0 0 3 30 70 100
19A27604b Food Toxicology 3 0 0 3 30 70 100
19A27604a Food Plant Equipment Design 3 0 0 3 30 70 100
19A54604b Wavelet Transforms & its applications 3 0 0 3 30 70 100
19A52604a Soft Skills OE 3 0 0 3 30 70 100
Humanities Elective-I
19A52602a Entrepreneurship & Incubation 3 0 0 3 30 70 100
19A52602b Managerial Economics And Financial Analysis 3 0 0 3 30 70 100
19A52602c Business Ethics And Corporate Governance 3 0 0 3 30 70 100
19A52602d Enterprise Resource Planning 3 0 0 3 30 70 100
19A52602e Supply Chain Management 3 0 0 3 30 70 100
19A12601P Web Technologies Lab 0 0 3 1.5 30 70 100
19A12602P Data warehousing and Data mining Lab 0 0 3 1.5 30 70 100
19A05605 Socially Relevant Project 0 0 3 0.5
19A99601 Research Methodology 3 0 0 0 30 30
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
15A52601 Management Science 3 1 0 3 30 70 100
15A12701 Internetworking with TCP/IP 3 1 0 3 30 70 100
15A12702 Scripting Languages 3 1 0 3 30 70 100
15A05703 Mobile Application Development 3 1 0 3 30 70 100
CBCC-II
15A05706 a. Machine Learning 3 1 0 3 30 70 100
15A05707 b. Software Project Management 3 1 0 3 30 70 100
15A05805 c. Enabling Technologies for Data Science & Analytics: IoT 3 1 0 3 30 70 100
CBCC-III
15A12703 a. Human Computer Interaction 3 1 0 3 30 70 100
15A12704 b. Information Retrieval Systems 3 1 0 3 30 70 100
15A05709 c. Real Time Systems 3 1 0 3 30 70 100
15A12705 Scripting Languages Laboratory 4 2 30 70 100
15A05711 Mobile Application Development Laboratory 4 2 30 70 100
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
MOOCS-II
15A05801 Data Analytics 3 1 0 3 30 70 100
15A05802 Mobile Computing 3 1 0 3 30 70 100
15A05803 Innovations and IT Management 3 1 0 3 30 70 100
MOOCS-III
15A05804 Building Large Scale Software Systems 3 1 0 3 30 70 100
15A05507 R- Programming 3 1 0 3 30 70 100
15A05806 Cyber Security 3 1 0 3 30 70 100
15A05807 Comprehensive Viva-Voce 4 2 50 50
15A12802 Technical Seminar 4 2 50 50
15A12803 Project Work 24 12 60 140 200

PLACEMENT STORIES


I would like to share my success journey about my placements.so, it all started in 3rd year, it was a great experience for us. And our college provides all the necessary facilities to the students, and the college provide the better support for us. It is a very good college for academics, teachers are very punctual and take their lectures regularly. The placements rate of our college is very good it is increasing year by year and I hope all our buddies would place in the company and have a better feature ahead.

Braamhini Jama, 179E1A1217, 2021 Batch

Placement in cognizant technology solutions pvt.limited. with 4LPA.

Infrastructure is quite nice. Placements are good.There are two colleges inside the campus. Teaching and lab practicals are good. There is an other branch in Kadapa also. Cources present here are B.Tech, MBA, MCA and M.Tech. I am very happy to have beautiful college memories, every student needs a college with good friendly atmosphere this sv colleges deserves in it's learning skills and also in extra curricular activities like ample fest events etc I'm very thankful to all faculty members and sv colleges who made me successful in career and also thank you for making me as a part in this family.

C.Lakshmi Anusha , 179E1A1207, IT, 2021 batch

Placement in CGI information systems and consultancies with 3.5 LPA .

DEPARTMENT DETAILS


S.NO. NAME OF THE FACULTY QUALIFICATION DESIGNATION
1 Dr. B Ramasubba Reddy Ph.D Professor & HOD
2 B. Kiran Kumar M.Tech (Ph.D) Associate Professor
3 T.S. Sandeep M.Tech (Ph.D) Associate Professor
4 K. Anusha M.TECH Assistant Professor
5 S.Thabassum Khan M.TECH Assistant Professor
6 S. Heera M.TECH Assistant Professor
7 B. Harika M.TECH Assistant Professor
8 D. Sainath M.TECH Assistant Professor
9 C. Malathi M.Tech (Ph.D) Assistant Professor