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DEPARTMENT OF Computer Science & Engineering(IOT and Cyber Security including Blockchain Technology)

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Department of Computer Science and Engineering (IoT&CSBT)

The Department of Computer Science and Engineering (Internet of Things and Cyber Security with Block chain Technologies) was established in the year 2020 with an intake of 60 students. We aim at grooming the students on context & project-based learning through mini projects, industry visits, internships, guest lectures, student activities & leadership events, professional society activities like Computer Society of India. We follow the concept of Blended learning through our curriculum where we combine the classroom teaching with online learning and independent study, allowing the students to have more control over the time, pace and style of their learning.

This program aims to develop students with the functional, operational, design, implementation and application aspects of IOT including cyber security and blockchain technology.


VISION

To develop professionals in emerging technologies to foster the students globally competent, ethically strong and useful to the Industry and society.


MISSION
M1 Evolving as the center of excellence through creative and innovative teaching learning practices to promote academic achievements.
M2 To promote hands on experience on emerging technologies and to make them industry ready.
M3 To imbibe the professionals with ethics and social values and to nurture them as leaders to strive for the nation.

PROGRAM EDUCATIONAL OBJECTIVES (PEO’s):
PEO 1 Graduates will have competent to design, develop and solve Engineering problems and shall have expertise in programming tools
PEO 2 Graduates will be adapt to state of art technologies through continuous learning in the areas of IOT.
PEO3 Graduate should have demonstrate leadership qualities, team work and professional ethics to serve the society

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

PROGRAM SPECIFIC OUTCOMES (PSO’s) :
PSO1 Ability to apply mathematical concepts, algorithm design techniques and suitable Data structures to solve practical problems using different problem-solving strategies.
PSO2 Ability to design computing solutions for problems in interdisciplinary areas.

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.

FOR MORE DETAILS CLICK HERE

FACULTY LIST

S.No Name of the Faculty Profiles Designation DOJ Qualification Nature of Association
1 Dr.B.Srikanth Assistant Professor, HOD 01.01.2024 M.Tech, Ph.D Regular
2 Dr. P. Karunakar Reddy Professor 30.07.2021 M.Tech, Ph.D Regular
3 Dr. Mithun Chakravarthi Assoc. Professor 15.06.2022 M.Tech, Ph.D Regular
4 Kolakaluri Anuradha Assistant Professor 14.06.2021 M.Tech Regular
5 Nallamala Bhaskara Reddy Assistant Professor 16.06.2021 M.Tech Regular
6 Kolluru Swarna Latha Assistant Professor 16.06.2021 M.Tech Regular
7 N.Anjaneyulu Assistant Professor 01.05.2022 M.Tech Regular
8 Angadi Venkateswarlu Assistant Professor 30.06.2022 M.Tech Regular
9 Gangolu Sreedevi Assistant Professor 30.06.2022 M.Tech Regular
10 Vennapusa Mounica Assistant Professor 30.06.2022 M.Tech Regular
11 N.Ravindra Assistant Professor 01.01.2024 M.Tech Regular

SYLLABUS

FACILITIES

Andraid Application Development Lab

Mobile app development is a term used to denote the act or process by which a mobile app is developed for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones. Key mobile app development process steps include ideation and research, UX/UI design, development, testing, deployment and post-launch optimization. Every stage is equally important for building a reliable, high-performing application within delivery timelines and budget. Application development is the process of creating a computer program or a set of programs to perform the different tasks that a business requires. From calculating monthly expenses to scheduling sales reports, applications help businesses automate processes and increase efficiency. The current Lab facility was inaugurated in 2016.


Internet of Things Lab

IoT Laboratory was formulated considering the vision of long-term sustainable development of IoT-enabled applications and services. The lab contains all the components needed to start the development of IoT-based systems. It includes many microcontroller boards like Arduino and Raspberry Pi, WiFi modules, sensors, actuators, etc. IoT Lab helps the students to thoroughly understand the concepts of IoT and enables them to try out their own ideas. IoT Lab was established by IEDC (Innovation and Entrepreneurship Development Cell)PACE, in association with AP Startup Mission, The current Lab facility was inaugurated in 2018.


Sensor Technology Lab

The 'Sensor Technology Lab' deals with working principles, factors governing performance, and identifying static and dynamic characteristics of all major sensors. The first principle model which is running in the background will represent ideal characteristics. The configurable parameter will give an insight to students about the deviations from standard or expected field application. Sensor Technology Laboratory is equipped with different Physical Sensors, Agilent Digital Storage Oscilloscope, Infrared Camera, Hot wire anemometer, Agilent Lab station, Pico ammeter and arbitrary waveform generator. The current Lab facility was inaugurated in 2015.


R Progamming Lab

You will be using R to complete all data analysis tasks in this class. For those who have never used R or it has been a long time since you’ve used the program, R is a free, open source statistical programming language. It is useful for data cleaning, analysis, and visualization. R is an interpreted language, not a compiled one. This means that you type something into R and it does what you tell it. It is both command line software and a programming environment. It is an extensible, open-source language and computing environment for Windows, Macintosh, UNIX, and Linux platforms, which allows for the user to freely distribute, study, change, and improve the software. It is basically a free, super big, and complex calculator. You will be using R to accomplish all data analysis tasks in this class. The current Lab facility was inaugurated in 2016.


SEMINAR HALL-IOT


TOPPERS

YEAR I II III
2021 21KQ1A4717
P ANUSHA
21KQ1A4702
B SWETHA
20KQ1A4751
PALURI GIRINDAR REDDY
2020 20KQ1A4711
PADARTHI VENKATASIVASAILAKSHMICHANDRIKA
20KQ1A4711
PADARTHI VENKATASIVASAILAKSHMICHANDRIKA

STUDENT ACHIEVEMENTS

FACULTY ACHIEVEMENTS

Previous Question Papers

INNOVATIONS

RESEARCH GROUPS


Department Research Groups


S.No Name of the Faculty Research Group

1

Dr.T.R.CHAITANYA - MENTOR







MACHINE LEARNING

2

Dr.M.CHANDRANAIK

3

Dr. NEDUNCHEZHIAN

4

G.SRINIVASA RAO

5

CH.RAVINDRA

6

P.LOKAIAH

7

V SURESH

8

Dr.S. RAJ ANAND - MENTOR







DATA MINING & DATA SCIENCE

9

Dr G SAMBA SIVA RAO

10

M.SRINIVASA RAO

11

B.SRAVANI

12

S.SRINIVASULU

13

G.SWATHI

14

CH.SANDHYA RANI

15

M.DEDEEPYA

16

SK. JILANI BASHA

17

G.SWATHI

18

DR K.G.S VENKATESAN - MENTOR




BIG DATA

19

DR P PRABAKARAN

20

B SREENIVASULU

21

S.PHANI KUMAR

22

Dr.S.RADHA KRISHNAN - MENTOR





IOT & NETWORKS & SECURITY

23

S.GIRI BABU

24

V.GOPI KRISHNA

25

D.JANARDHAN REDDY

26

SK. HEENA KAUSER

27

Dr M SREENIVASULU - MENTOR







CLOUD COMPUTING

28

Dr K VENKATA RAMANA

29

E.V.N.JYOTHI

30

D ANANDAM

31

P.SREEHARI

32

V.SRIHARSHA

33

A.RAMYA KRISHNA

34

P.V. SUBBAREDDY



 

EX- CURRICULAR ACTIVITIES