Information Technology

DEPARTMENT


Welcome Note by the Department - HOD.

As a field of study that deals with collecting, compiling and converting raw information into useful data, Information Technology has emerged as one of the most sought after branches of engineering in today’s world. Information Technology focuses on utilizing computers and telecommunications in order to control, gather, store and circulate information. In view of the rapid advancements in the field of IT, the Department of Information Technology has formulated the following objectives:

  • To provide exposure to the latest trends in the field of Information Technology.
  • To equip students with practical knowledge to devise solutions to digital problems.
  • To facilitate the betterment of the students through state-of-the-art laboratories and qualified faculty.
  • To equip students with organizational and management skills.
  • To instill ethical and moral principles in the students.
HOD-IT

VISION & MISSION


Vision of the Department

To provide an excellent education in Information Technology through effective teaching and research environment in pursuit of academic proficiency, employment & higher education with social and ethical values.

Mission of the Department

  • M1: To provide high quality technical education in Information Technology by delivering the core instructions through world class infrastructure.
  • M2: To prepare students with fine professional and intellectual skills to solve challenging tasks in the field of Information Technology.
  • M3: To train students in design and implement novel systems based on education and research with the support of senior faculty.
  • M4: To inculcate students with leadership capabilities, integrity, ethical & social values.

PROGRAM EDUCATIONAL OBJECTIVES


PEO 1 -Graduates will be technically competent and well trained as software engineers to attain National and International recognition.

PEO 2 - Graduates will be oriented to analyze, design & development of best engineering solutions for software products in contribution to industrial growth as well as societal wellbeing.

PEO 3 - Graduates are passionately involved in professional development, research and work effectively, progressively to become a successful entrepreneur with ethical & social values.

PROGRAM SPECIFIC OUTCOMES


After the program students are able to:

PSO 1: - Problem Solving Skills:- Ability to understand the evolutionary changes in modern computing & do analyze, design and development of software applications in the upgrade to novel methodologies & provide the best computational solutions in the areas related to algorithms, database, cloud computing, web & mobile applications, big data, networking & security of varying complexity.

PSO 2 - Professional Skills:- To apply best practices and methods of software management in integration with software projects for providing a good quality product across the globe.

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


In an era that is powered and driven by Internet of Technology (IOT) devices and Artificial intelligence(AI), computer science engineers are required in every nook and corner of the world from small scale industries to sophisticated workstations. From games developer to manager of Information Technology and communications services, a computer science graduate can find opportunities in the software sector, consultancies, and major corporations, where they offer digital solutions to contemporary issues.

The graduates can opt for immediate employment through placements or higher education through advanced courses such as M.Tech or Masters of Science (MS) across India or abroad for various advanced computing courses.

DEPARTMENT LABS


  • Problem Solving using C Lab
  • IT Workshop
  • Data Structures Lab
  • Object Oriented Programming Through Java Lab
  • Database Management Systems Lab
  • Design and Analysis of Algorithms Lab
  • Python Programming Lab
  • Operating Systems Lab
  • UML And Computer Networks Lab
  • Data Warehousing & Mining Lab
  • Software Testing Lab
  • Web Technologies Lab
  • Scripting Languages 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
MA20ABS101 Linear Algebra and Calculus BS 3 3 40 60 100
CH20ABS103 Chemistry BS 3 3 40 60 100
CS20AES101 Problem Solving using C HS 3 3 40 60 100
EE20AES101 Basic Electrical & Electronics Engineering ES 3 3 40 60 100
ME20AES101 Engineering Workshop LC 0 0 3 1.5 40 60 100
CS20AES103 IT Workshop LC 0 0 3 1.5 40 60 100
CH20ABS104 Chemistry Lab BS 3 1.5 40 60 100
CS20AES102 Problem Solving using C Lab ES 3 1.5 40 60 100
EE20AES102 Basic Electrical & Electronics Engineering Lab ES 2 1.5 40 60 100
EG20AMC103 Speech & Oral Communication MC 2 40 40
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
MA20ABS201 Differential Equations and Vector Calculus BS 3 3 40 60 100
PH20ABS103 Applied Physics BS 3 3 40 60 100
EG20AHS101 Communicative English HS 3 3 40 60 100
CS20AES201 Data Structures ES 3 3 40 60 100
ME20AES102 Engineering Drawing ES 1 0 2 2 40 60 100
ME20AES103 Engineering Graphics Lab ES 0 0 2 1 40 60 100
EG20AHS102 Communicative English Lab HS 3 1.5 40 60 100
PH20ABS104 Applied Physics Lab BS 3 1.5 40 60 100
CS20AES202 Data Structures Lab ES 3 1.5 40 60 100
BA20AMC201 Universal Human Values MC 3 40 40
MA20AMC102 Logical Skills for Professionals MC 2 40 40
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A54303 Mathematical Foundations of Computer Science (MFCS) BS 3 3 30 70 100
19A05301 Digital Logic Design (DLD) PC 3 3 30 70 100
19A99304 Design Thinking (DT) ES 2 0 0 2 30 70 100
19A05302T Database Management Systems (DBMS) PC 3 3 30 70 100
19A05303T Object Oriented Programming Through Java (OOPJ) PC 3 3 30 70 100
19A05402T Design and Analysis of Algorithms (DAA) PC 2 1 0 3 30 70 100
19A05302P Object Oriented Programming Through Java Lab PC 0 1.5 30 70 100
19A05303P Database Management Systems Lab PC 3 1.5 30 70 100
19A05402P Design and Analysis of Algorithms Lab PC 3 1.5 30 70 100
19A99302 Biology For Engineers (BFE) MC 3
Campus Recruitment Training (CRT)
Subject Code Subject Name Category Teaching Scheme (Hours) Credit Theory Marks Practical Works Total Marks
Theory Tutorial Practical IM EM IM EM
19A54401 Number Theory and Applications BS 3 3 30 70 100
19A05401 Computer Organization PC 3 3 30 70 100
19A12401 Formal Languages and Automata Theory PC 3 3 30 70 100
19A05404T Software Engineering PC 3 3 30 70 100
19A05304T Python Programming PC 2 1 3 30 70 100
19A05403T Operating Systems PC 3 3 30 70 100
19A52301 Universal Human Values HS 2 2 30 70 100
19A05304P Python Programming Lab PC 3 1.5 30 70 100
19A05403P Operating Systems Lab PC 3 1.5 30 70 100
19A99301 Environmental Science MC 3 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
15A05502 Computer Networks PC 3 1 3 30 70 100
15A05503 Object Oriented Analysis & Design PCC 3 1 3 30 70 100
15A05404 Formal Languages & Automata Theory PCC 3 1 3 30 70 100
15A05602 Data Warehousing & Mining PCC 3 1 3 30 70 100
15A05604 Design and Analysis of Algorithms PCC 3 1 3 30 70 100
MOOCS-I
15A05506 a. Introduction to Big Data MOOCS 3 1 3 30 70 100
15A04702 b. Embedded Systems MOOCS 3 1 3 30 70 100
15A12501 c. Computer Animation MOOCS 4 2 30 70 100
15A12502 UML And Computer Networks Laboratory PCC 4 2 30 70 100
15A99501 Audit course – Social Values & Ethics AC 2 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
15A05505 Software Testing PCC 3 1 3 30 70 100
15A05702 Information Security PCC 3 1 0 3 30 70 100
15A12601 Web Technologies PCC 3 1 3 30 70 100
15A05601 Compiler Design PCC 3 1 3 30 70 100
15A12602 Cloud Computing PCC 3 1 3 30 70 100
CBCC-I
15A05608 a. Image Processing CBCC-I 3 1 0 3 30 70 100
15A01608 b. System Applications & Products (SAP) CBCC-I 3 1 0 3 30 70 100
15A02606 c. Intellectual Property Rights EE 3 1 3 30 70 100
15A12604 Software Testing Laboratory PCC 4 2 30 70 100
15A12605 Web Technologies Laboratory PCC 4 2 30 70 100
15A52602 Advanced English Language Communication Skills (AELCS) Laboratory (Audit Course) AC 2 30 70 100
15A12606 Comprehensive Online Examination-II AC 1 100
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 HS 3 1 3 30 70 100
15A12701 Internetworking with TCP/IP PC 3 1 0 3 30 70 100
15A12702 Scripting Languages PC 3 1 3 30 70 100
15A05703 Mobile Application Development PC 3 1 3 30 70 100
CBCC-II
15A05706 a. Machine Learning PC 3 1 0 3 30 70 100
15A05707 b. Software Project Management EE 3 1 0 3 30 70 100
15A05805 c. Enabling Technologies for Data Science & Analytics: IoT EE 3 1 3 30 70 100
15A12705 Scripting Languages Laboratory PC 4 2 30 70 100
15A02708 b) Flexible AC Transmission Systems PC 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 a. Data Analytics MOOCS 3 1 3 30 70 100
15A05802 b. Mobile Computing MOOCS 3 1 3 30 70 100
15A02803 3. Industrial Automation & Control MOOCS 3 1 3 30 70 100
MOOCS-III
15A02804 a. Building Large Scale Software Systems MOOCS 3 1 3 30 70 100
15A05507 b. R- Programming MOOCS 3 1 3 30 70 100
15A05806 c. Cyber Security MOOCS 3 1 3 30 70 100
15A12801 Comprehensive Viva-Voce MOOCS 4 2 60 60
15A12802 Technical Seminar EE 4 2 50 50
15A02808 Project Work EE 24 12 60 140 200

PLACEMENT STORIES


I have placed in INFOSYS with 3.6lks package while before the finish of final years, where I found our college is good to explore new things & the beauty of natural greenery in the campus is always refreshing for daily activities & if i have to tell about Information Technology, It a skilled up corner in entire college to grow in person or professionally.

V.Jothiroopan,17BF1A1258,2021 BATCH

Placement in INFOSYS with 3.6L Package

Infrastructure is awesome. The scenic beauty of the campus is awesome. the college provides all the necessary facilities to the students like well maintained hostels class rooms equipped with smart boards etc . It is a very good college for academics, teachers are very punctual and they take lectures regularly. The curriculum is updated according to the industrial needs and it is also helpful in our interview sessions. Placement rate is very good for our college almost 90% students got placed in good companies placement process is not veet difficult as college organises webinar to teach students about placement process

G.Lokesh Prasad,17BF1A1218,2021 BATCH

Placement in ATOS GLOBAL IT Solution Pvt. Limited with 3.1L Package.

DEPARTMENT DETAILS


S.NO. NAME OF THE FACULTY QUALIFICATION DESIGNATION
1 Dr. S Murali Krishna Ph.D Professor & HOD
2 Dr. Hemalatha Kulala Ph.D Assistant Professor
3 N. Purandhar M.Tech(Ph.D) Assistant Professor
4 L. Lakshmaiah M.Tech(Ph.D) Assistant Professor
5 Yeneti Vijaya Kumar M.Tech Assistant Professor
6 A. Basireddy M.Tech Assistant Professor
7 K. Naresh M.Tech Assistant Professor
8 Damodaram Jeevan Kumar M.Tech Assistant Professor
9 Leela Pachaiappan M.Tech Assistant Professor
10 Harish. A M.Tech Assistant Professor
11 Prasad Dharmaiahvari M.Tech Assistant Professor

STUDENT ACHIVEMENTS


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2020-UIF Program

Our Student AS Haritha & Abdhul Wadood of academic year 2018-2022 batch have Selected for 2020-UIF Program.

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WON JNTUA Goldmedal

Our department Students P.Sravani(14BF1235)/M.VishnuPriya(15BF1235)/C.Manasa(16BF1208) have WON JNTUA Goldmedal for three consecutive years

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JNTUA Goldmedal

Congratulations to our student Bhanu Teja for winning Gold Medal in National Level Competition.