Electronics & Communication

KOMMURI PRATAP REDDY INSTITUTE OF TECHNOLOGY

Department of Electronics & Communication

The Department of Electronics and Communication Engineering was established in the year 2008. The experienced professors guide the department aiming at educating and training students with sound knowledge and awareness in the fields of Electronics, Communication, and Information Technology.

The major goal of the Department of Electronics and Communication Engineering is to produce highly knowledgeable, competent and resourceful young engineers who can perform well in a wide variety of job profiles. To achieve this, curriculum provides a strong foundation in both the analytic and technological aspects of E&C Engineering.

It also provides ample opportunities to students to work on mini-projects, develop communication skills, explore internship opportunities in industry and world-class universities and take part in national and international design contests.

The Department of ECE also organizes Workshops, Expert Talks, Project Expo, Poster Presentation competitions for the students. The department has established the Industry Supported Laboratory in association with Shreeji Charan Electronics.

Core Companies offering Electronics and communication Engineering (Bharat Electronics Limited (BEL), Electronics Corporation of India Limited (ECIL), Intel, Samsung Electronics, Sony, Toshiba, Philips Semiconductors, Texas Instruments, LG Electronics, Nokia, AMD, CISCO, Nvdia, HP and IBM are just few to mention).

Vision of the Department

To impart quality technical education in Electronics and Communication with accent on creativity, innovation and research thereby producing competent engineers who can meet global challenges with societal commitment.

Mission of the Department

DM1 To impart quality education to the students in Basic Sciences, Mathematics, Electronics and Communication Engineering through innovative teaching-Learning processes.
DM2 Training the students to conceptualize, design, and solve engineering problems in the field of Electronics and Communications Engineering using various Electronic Design Automation (EDA) tools.
DM3 Encouraging the research culture among faculty and students by facilitating them to be creative and innovative, through constant interaction with R&D organizations and Industry.
DM4 Inculcating the team work, imbibe leader ship qualities, professional ethics and Social responsibilities in students and faculty.

Syllabus R22

Syllabus R18

Faculty

S. No.	Name of the Faculty	Qualification	Designation
1	Dr. S. Sreenath Kashyap	M. Tech, PhD	Professor & HOD
2	Dr Vipul kumar Manibhai Dabhi	M. Tech, PhD	Professor
3	Dr. P. Anil Kumar	M. Tech, PhD	Associate Professor
4	Dr. Shaik Imamvali	M. Tech, PhD	Associate Professor
5	K. Prashanth Reddy	M. S	Assistant Professor
6	Y. Vishwa Sri	M. Tech	Assistant Professor
7	B. Nagalaxmi	M. Tech	Assistant Professor
8	P. Hussain Nayak	M. Tech	Assistant Professor
9	S. Swapna	M. E	Assistant Professor
10	M. Soumya	M. Tech	Assistant Professor
11	P. Sujatha	M. Tech	Assistant Professor
12	Ch. Bhavani	M. Tech	Assistant Professor
13	P. Snigdha Kamala	M. Tech	Assistant Professor
14	Shaik Nagur Vali	M. Tech	Assistant Professor
15	K. Shyam	M. Tech	Assistant Professor
16	R. Keerthi	M. Tech	Assistant Professor
17	A. Amala	M. Tech	Assistant Professor
18	Ch. Padmasri	M. Tech	Assistant Professor
19	T. Venkata Ramana	M. Tech	Assistant Professor

S.No	Name of the Staff	Qualification	Designation	JNTU ID	Details
1	Dr. S. Sreenath Kashyap	Ph.D	Professor	3126-170131-010521	View
2	Y Vishwa Sri	M.Tech, (PhD)	Associate Professor	7508-150413-125613	View
3	Dr. P. Anil Kumar	Ph.D	Associate Professor	0215-0406-155034	View
4	Shaik Imam Vali	M.Tech, (PhD)	Associate Professor	2142-160319-184029	View
5	Kommuri Prasanth	M.Tech	Asst Professor	9799-150416-080422	View
6	B. Nagalaxmi	M.Tech	Asst Professor	2701-160213-124206	View
7	P Hussain Nayak	M.Tech	Asst Professor	2161-160215-114950	View
8	S. Swapna	M.Tech	Asst Professor	2438-181218-121451	View
9	M. Soumya	M.Tech	Asst Professor	5751-161215-125954	View
10	P. Sujatha	M.Tech	Asst Professor	5635-150409-125027	View
11	A. Amala	M.Tech	Asst Professor	1594-240908-152746	View
12	Ch Bhavani	M.Tech	Asst Professor	26150401-141159	View
13	Ch.Rajini	M.Tech, (PhD)	Asst Professor	8879-160306-130506	View
14	D.Swathi	M.Tech	Asst Professor	0778-171208-115828	View
15	Nara Sai Krishna	M.Tech, (PhD)	Asst Professor	5139-170102-174143	View
16	Shravan Kumar Marry	M.Tech	Asst Professor	1960-160107-145049	View

Course Outcomes

Course Outcomes (COs) are specific, measurable statements that describe what learners are expected to know, understand, and be able to do by the end of a particular course. They are essential components of Outcome Based Education (OBE) and serve as the foundation for assessing student performance and course effectiveness. A good course outcome states what a student will know or be able to do at the end of instruction. It focuses on student performance. Other synonyms are learning outcome or Course learning outcome.

Characteristics of Good Course Outcomes:

Specific: Clearly defines what students will achieve at the end of the course.
Measurable: Allows the assessment of student achievement through tests, assignments, and projects.
Achievable: Realistic and achievable within the course duration.
Relevant: Aligned with the broader Program Outcomes (POs) and institutional goals.
Time-bound: Must be completed by the end of the course.

The advantages of Course Outcomes:

Benefits for the course and module designer

In terms of course and module design, the use of explicit course outcome statements can help ensure consistency of delivery across modules or programs. They can aid curriculum design by clarifying areas of overlap between existing modules, program and qualifications.

Benefits for quality assurance and standards

Quality assurance benefits from the adoption of learning outcomes via the resulting increase in transparency and better comparability of standards between and within qualifications.

Benefits for Students and employers

Students benefit from a comprehensive set of statements of exactly what they will be able to achieve after successful study. Course outcomes provide Students with clear information that can help them with their choice of module/unit/program/qualification to study and can lead to more effective learning.

Benefits for national and international educational transparency

Internationally, Course outcomes contribute to the mobility of students by facilitating the recognition of their qualifications and improving the transparency of qualifications and thus simplifying credit transfer.

Course Outcomes for the Department of Computer Science and Engineering

ECE R22 Outcomes

ECE R18 Outcomes

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

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 analyse 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 context, 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 network: 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, 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 able to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM EDUCATIONAL OBJECTIVES

PEO1.
Graduates with fundamental and advanced knowledge in Engineering Sciences, Mathematics and Engineering course of Electronics and Communication Engineering along with allied domains of Engineering will be able to exhibit the contemporary skills and become globally competent with a flair for life-long learning.
PEO2.
Graduates capable in design, develop creative and innovative technologies in the field of Electronics and Communication Engineering, enabling them to work in multi-disciplinary teams to meet the societal needs.
PEO3.
Graduates with professional ethics and values, positive attitude, effective communication skills and knowledge in cutting edge technologies will ensure sustainable engineering and able to demonstrate top-notch technology in their professional practices.

Department Laboratories

The Department of Electronics and Communication Engineering is well equipped with high end design and analysis laboratories which are used extensively by the students and faculty members for their curriculum and research activities.

The following is the list of the Labs:

S. No.	Name of the Lab	Room No.	Area in Sqmts
1	Electronic Devices Circuits, Electronic Circuits Analysis, AnalogCircuits Lab	B G002	108.14
2	Linear & Digital IC Applications, Elements of ECE Lab	B 103/A	95.43
3	Digital Logic Design Lab	B 103/B	95.43
4	Internet of Things, CMOS VLSI, Advanced Communication Lab	B 104	109.95
5	Microcontrollers, Digital Signal Processing, Basic Simulation Lab	B 105	79.56
6	Microwave Engineering, Analog & Digital Communications Lab	B 205	79.37
7	Project Lab	B G001	79.48

Workshops/Guest Lectures/Seminars organized by the Department

A.Y: 2024-25

S.No	Gap	Action taken	Date-Month-Year	Resource person with designation	% of Students	Relevant to POs & PSOs
1	PO4	Seminar on Pseudo Differential Biasing Techniques for Single Supply Amplifiers	21-09-2024	Dr. G. Sreelaxmi, Asso. Prof & HoD Samskruthi Engineering College	98	PO1,PO2,PO4,PO12,PSO2
2	PO5	Work shop on Advanced IoT Security & Real-Time Protocols: XMPP, CoAP and MQTT	27 & 28-09-2024	Mr. Mukesh Sankhla, Maker/Software/IoT Developer, and Founder of Maker Brains	90	PO2,PO3, PO4,PO5, PO6,PO12, PSO2
3	PO5	Work shop on Python for Scripting for Managing data and Boosting Productivity	25-10-2024 &26-10-2024	Mr.Rajesh Reddy, System Engineer, Ray Business Technologies, Hyderabad	95	PO2,PO3, ,PO5,PSO1
4	PO3	Guest Lecture on Microwave Waveguides and Transmission Lines: Theory & Simulation	20-11-2024	Dr. P. Venkatapathi Associate Professor, CMRIT, Kandlakoya	96	PO1,PO2,PO3, ,PO5,PSO1
5	PO5	Workshop on Hardware Integration and Performance of CORTEX M3 processor	18-12-2024 & 19-12-2024	Mr. K. Krishna, Technical Lead, VI Micro Systems, Hyderabad	92	PO1,PO2,PO3, ,PO5,PSO2
6	PO3	Seminar on Synthesis of Ladder Asymmetrical Two Port Networks	11-12-2024	Dr. G. Satish, Asso. Prof & HoD, VNRVJIET	85	PO1,PO2,PO3
7	PO4	Guest Lecture on cryptographic algorithms and Network protocols: DHCP and ICMP	07-01-2025	Dr. T. Ravi Chandra Asso. Prof , VITS Deshmukhi	90	PO1,PO3, ,PO5,PSO1
8	PO4	Seminar on “Entropy, Information Theory and Noise – Interplay in Modern Systems”	20-01-2025	Dr. B Ravi Kumar ,Associate Professor, IARE Hyderabad	89	PO1,PO3, ,PO4,PSO1
9	PO3	Guest Lecture on “Design and Optimization of Microstrip (Patch) Antennas for 5G /mm Wave Bands”	21-02-2025	Dr.V R Sheshagiri Rao, VJIT Hyderabad	90	PO1,PO2,PO3, ,PO5,PSO3
10	PO5	Seminar on “Adaptive Filtering Algorithms (LMS, RLS) and Their Real-Time Implementation”	11-03-2025	Dr. M. Naresh, Associate Professor, Malla Reddy University, Hyderabad	87	PO1,PO2, PO3, ,PO4,PSO2,
11	PO3	Guest Lecture on “Architectural-level power optimisation techniques in SoC design”	17-04-2025	Dr. P Revanth Kumar, Associate Professor, GNIT, Hydrabad	91	PO1,PO2,PO3, ,PO5,PSO1
12	PO4	Seminar on “Small satellites (CubeSats & NanoSats) communication architectures and constellation design”	07-02-2025	Dr. D. Narasaiah, Associate Professor, Chaitanya deemed to be University, Hyderabad	85	PO1,PO3, ,PO4,PSO3

A.Y: 2023-24

S.No	Gap	Action taken	Date-Month-Year	Resource person with designation	% of Students	Relevant to POs & PSOs
1	PO4	Guest Lecture on Signal Extraction Techniques from Noise using Notch and Adaptive Filters	30-09-2023	Dr. Mouli, Associate Professor, Sreedattha Engineering and Science	85	PO2,PO3,PO4
2	PO4	Guest Lecture on Concepts on Advanced Digital Modulation Techniques (DSSS & FHSS)	09-03-2024	Dr. Sathish, Associate Professor, HITAM Engineering College	92	PO2,PO3, PO4,PSO2
3	PO5	Workshop on ARM Cortex & AVR: Modern Microcontroller Architectures & Automation	17 & 18-10-2023	Mr. C. Keyur, Team Leader, Sreeji Charan Technologies, benglore.	86	PO2,PO3, PO4,PO5,PSO2
4	PO5	Guest Lecture on Architecture of DSP Processors & Applications of TMS320C	23-03-2024	Dr. Maheshwaran, Professor, CBIT	89	PO2,PO3, PO4,PSO2
5	PO4	Seminar on Intrusion Detection & Prevention Algorithms in Network Security	05-08-2023	Dr. Javeed, Associate Professor, Sreedattha Engineering and Science	90	PO1,PO3, PO4,PSO1
6	PO3	Seminar on Sub-threshold CMOS Circuits – Design Challenges	28-01-2024	Dr.Nikhil Raj, Associate Professor, LNMIIT, Jaipur	85	PO1,PO2, PO3,PSO1
7	PO5	Workshop on MATLAB for Signal Processing: Basics to Applications	01 & 2-11-2023	Mr.Vaibhav, Technical Lead, VI Micro systems, Hyderabad	88	PO2,PO3, PO4,PO5,PSO2
8	PO5	Seminar on Control System Design and Analysis Using MATLAB and Simulink	10-11-2023	Dr.Tamarai,Associate Professor, MRCE	95	PO1,PO2, PO3,PSO1
9	PO5	Guest Lecture on Linear ICs in IoT: Designing Smart Sensor Interfaces with ESP8266/ESP32	04-04-2024	Dr. G. Amarnath, Professor, MLRITM, Dundigal	98	PO1,PO2, PO3,PSO1
10	PO5	Seminar on Python for Industrial IoT (IIoT) Applications: Controlling Hardware and Sensors	01-12-2023	Dr.Gladson Maria Britto, Professor MRCE	92	PO1,PO2, PO3,PO5,PSO1
11	PO3	A seminar on Foundations of Probability Theory and Its Application to Stochastic Processes	15-04-2024	Dr.Srikanth Mahapatra, Kalinga University	94	PO1,PO2, PO3,PSO1
12	PO5	Guest Lecture on Machine Learning for Signal Processing with MATLAB	01-05-2024	Prof. M. Ravi Kumar, Professor, ACE Engineering College	95	PO1,PO2, PO3,PO4,PO5,PSO2
13	PO3	Guest Lacture on Concepts of Multiple-Input Multiple-Output (MIMO) in Communications	06-04-2024	Dr. N. Muralikrishna, Prof & HOD, MRCET, Medchal	98	PO1,PO2, PO3,PSO1
14	PO3	A Seminar on “Embedded Systems in IoT”	29-12-2023	M. Sravanthi Assistant Professor, Dept of ECE,CMR Engineering College	90	PO1,PO2, PO3,PSO1
15	PO3	A Seminar on VLSI Technologies	05-07-2024	Mr. Mahesh, Senior Engineer, SAK Informatics,	94	PO1,PO2, PO3,PSO1

A.Y: 2022-23

S.No	Gap	Action taken	Date-Month-Year	Resource person with designation	% of Students	Relevant to POs & PSOs
1	PO3	Guest lecture on Dependent Random Variables & Applications	05-02-2023	Dr. Y. Chakrapani, Professor, Shreyas Engineering College	94	PO1,PO2,PO4
2	PO3	Seminar on Electromagnetic Interference (EMI) and Shielding Techniques	06-06-2023	Dr. Gurumurthy, Associate Professor, Pallavi Engineering College	96	PO1,PO2,PO4
3	PO4	Guest Lecture on Learning Concepts on Signal flow graphs & Implementation	01-11-2022	Dr. Keshavan, Professor, Vasavi Engineering College	95	PO1,PO2,PO4,PO5
4	PO4	Guest lectures on Subsystem Design for VLSI Circuits	01-02-2023	Mr. Victor Paul, senior Trainer , Carval Info Systems	92	PO1,PO2, PO3,PO4,PO5,PSO2
5	PO4	Seminar on Hybrid RF-Optical Communication: Innovations and Future Trends	01-08-2023	Dr. Vikas , Professor, SR University	93	PO1,PO2, PO3,PO4,PO5,PO12,PSO3
6	PO3	Seminar on High-Performance Radar Signal Processing: Trends and Techniques	15-02-2023	Dr. Narsaiah, Professor, Chaitnya University	96	PO2, PO3,PO4,PO5,PO12,PSO3
7	PO5	workshop on Communication Systems Simulation Using MATLAB	15-03-2023	Mr. Jagadeesh, Technical Director, Virtulonix, Hyderabad	95	PO1,PO2, PO3,PO4,PO5,PSO3
8	PO3	Guest Lecture on Introduction to Signals and Systems: Time and Frequency Domain Analysis	01-12-2023	Dr. Palanivel, Professor, MRITS	96	PO1,PO2, PO3,PO4,PSO1
9	PO6	Seminar on Data Converters: Flash ADCs and Dual DACs	01-09-2023	Dr. Niranjan Guptha, rofessor, CMREC	92	PO1,PO2, PO3, PSO1
10	PO3	Seminar on Noise and Signal Processing in Communication Systems with Adaptive Filtering Techniques	20-08-2023	Dr. Babu, Associate Professor, Sreedattha Engineering and Science	94	PO2, PO3,PO4,PSO3
11	PO5	Guest Lecture AI and Machine Learning: The Future of Technology	30-03-2023	Dr. Habib, Professor, VBIT	80	PO1,PO2, PO3,PO4,PO5,PO12,PSO3
12	PO5	Guest Lecture Introduction to IoT: Connecting the World Through Smart Devices	20-12-2022	Dr. Karthikeyan, Associate Professor, Gurunanak Enginnering College	90	PO1,PO2, PO3,PO12,PSO1
13	PO5	Seminar on IoT Protocols and Communication Technologies: How Devices Talk	15-11-2022	Dr. Shanthanu sahu, Associate Professor, IARE	96	PO1,PO2, PO3,PSO1
14	PO5	Seminar on Cybersecurity in Networking: Protecting Data in Transit	25-11-2022	Dr. B.shiva Naidu, Vageswari Engineering college	93	PO1,PO2, PO3,PO5,PO12,PSO3

A.Y: 2021-22

S.No	Gap	Action taken	Date-Month-Year	Resource person with designation	% of Students	Relevant to POs & PSOs
1	PO3	A workshop on PCB Prototyping & Assembly: From Design to Soldering and Testing	20 & 21-01-2022	Mr.Shivan durai, Technical supervisor, Pantech e-Learning	94	PO1,PO2, PO3,PSO1
2	PO3	A Guest Lecture on 555 Timer IC: Applications in Pulse Generation and Waveform Shaping	13-04-2022	Dr. Senthil, Professor, KL University	96	PO2, PO3,PO4
3	PO4	Seminar on TCP/IP Protocol Suite: Understanding Internet Communication	13-10-2021	Dr. Y. Chakrapani, Professor, ACE Engineering College	95	PO2, PO3,PO4,PO5,PSO1
4	PO4	A workshop on Arduino & Raspberry Pi Shields for Embedded Systems	04 & 05 -04-2022	Mr. K. Krishna, Technical Lead, VI Micro Systems, Hyd	92	PO1,PO2, PO3,PO4,PO5,PO12,PSO3
5	PO4	Guest lecture on Image Compression models and Restoration Techniques	30-10-2021	Dr.Y.V.S laxmi, Professor, St Martins Engineering College	93	PO3,PO4,PO5,PSO3
6	PO3	Seminar on Sub threshold logic design, energy recovery circuits	24-03-2022	Dr. Shivaramulu, KITs, warangal	96	PO3,PO4,PO5,PSO1
7	PO5	A workshop on Wavelet Transform and Image Processing with MATLAB	01 &02-07-2022	Mr. Chaitanya Krishna, Technical Lead, Infinera India, Pvt Ltd, Banglore	95	PO1,PO2, PO3,PO4,PO5,PSO1
8	PO3	Seminar on Introduction to Linear ICs: Understanding Operational Amplifiers	06-06-2022	Dr. Paramesh, Associate Professor, Vagdevi Engineering College	96	PO1,PO2, PO3,PO4,PSO1
9	PO4	Guest lecture on Orthogonal Frequency-Division Multiplexing (OFDM) in advanced digital modulation techniques	29-06-2022	Dr. Sandeep Reddy, Associate Professor, Sreedattha Engineering and Science	92	PO2, PO3,PO4
10	PO5	Seminar on IoT Security Challenges: Protecting Devices from Cyber Threats	05-01-2022	Dr. K. Srinivasulu, Professor, ECET	94	PO2, PO4,PO5,PSO1
11	PO5	Seminar on Building Smart Home Automation Systems with IoT	23-05-2022	Dr. Nagarajan, Professor, Sridevi Womens Engineering College	80	PO1,PO2, PO3,PO4,PO5,PSO1
12	PO5	Guest Lecture Actuation and Sensor Technologies in Robotics	20-12-2021	Dr. K. Kumar, Professor, GNIT	90	PO2, PO3,PO4,PO5,PSO3

Academic year	Number of Events Organized
2024-2025	6
2023-2024	7
2022-2023	6
2021-2022	8
2020-2021	10

Industrial visit

A.Y: 2024-25

S. No.	Date	Industry/Company visited	No. of students attended
1	28-03-2025	LED Chip Indus Pvt. Ltd.	48
2	21-11-2024	Bharat Heavy Electrical Limited (BHEL)	138
3	15-10-2024	T-HUB	41
4	22-08-2024	VGS & Technologies Pvt. Ltd.	53

A.Y: 2023-24

S. No.	Date	Industry/Company visited	No. of students attended
1	26-02-2024	BSNL	32
2	18-01-2024	FLIC Microwave Pvt. Ltd.	42
3	05-12-2023	ARYAHAMA SOLAR	33
4	03-11-2023	NRSC	25

A.Y: 2022-23

S. No.	Date	Industry/Company visited	No. of students attended
1	05-03-2023	NANO SPAN	32
2	02-02-2023	CPRI	35
3	11-11-2022	L&T	33
4	18-10-2022	NRSC	30

R22 Syllabus

II Year

I Semister

Course Code & Title

II Semister

Course Code & Title

EC401ES: Probability Theory and Stochastic Processes
EC402PC: Electromagnetic Fields and Transmission Lines
EC403PC: Analog and Digital Communications
EC404PC: Linear and Digital IC Applications
EC405PC: Electronic Circuit Analysis
EC406PC: Analog and Digital Communications Laboratory
EC407PC: Linear and Digital IC Applications Laboratory
EC408PC: Electronic Circuit Analysis Laboratory
EC409PC: Real Time Project/ Field Based Project
*MC410: Gender Sensitization Lab

III Year

I Semister

Course Code & Title

II Semister

Course Code & Title

IV Year

I Semister

Course Code & Title

II Semister

Course Code & Title

Professional & Open Elective Subjects

Professional Elective-I

Professional Elective-II

Professional Elective-III

Professional Elective-IV

Professional Elective-V

Professional Elective-VI

Open Elective-I

Open Elective-II

Open Elective-III

R18 Syllabus

II Year

Professional Elective-I

Professional Elective-II

Professional Elective-III

Professional Elective-IV

Professional Elective-V

Professional Elective-VI

Open Elective-I

Open Elective-II

Open Elective-III

III Year

I Semister

Course Code & Title

EC501PC: Microprocessors & Microcontrollers
EC502PC: Data Communications and Networks
EC503PC: Control Systems
SM504MS: Business Economics & Financial Analysis
EC513PE: Electronic Measurements and Instrumentation
EC505PC: Microprocessors & Microcontrollers Lab
EC506PC: Data Communications and Networks Lab
EN508HS: Advanced Communication Skills Lab
*MC510: Intellectual Property Rights
*MC510: Intellectual Property Rights

II Semister

Course Code & Title

IV Year

I Semister

Course Code & Title

II Semister

Course Code & Title

Professional & Open Elective Subjects

I Semister

Course Code & Title

II Semister

Course Code & Title

Feedback / Suggestions if any

KPRIT is implementing OBE. OBE is a student centric teaching-learning methodology in which the course delivery and assessment are planned to achieve the stated objectives and outcomes. To achieve the stated outcomes, the faculty members in the department follows different course delivery methods such as lecturing, tutorials, assignments, remedial classes, quiz, presentations, experimental laboratory work, project work, etc.

ICT Initiatives and Tools

Significant ICT initiatives are being implemented in KPRIT. KPRIT adopts many ICT integrated pedagogical methods to enable the learner to meet their learning goals, academic success with required competencies. In addition to the chalk & board lecture method, methods such as Blended Learning, Collaborative learning, Self-learning, Experiential Learning is used to enhance learning opportunities to the students.

Classrooms Teaching with Audio & Visual Connectivity

The lecture delivered by the faculty is through a set of educational technology/tools such as

Chalk and Board
Power point presentation (PPT)
E-Learning

The faculty use chalk and board and audio-visual aids in teaching. Students are also encouraged to actually interact during the lecture hour by getting the doubts clarified in the same class. The college has sufficient number of computers, printers, LCD projectors, application and system softwares which are used in the teaching process to improve its effectiveness.

The following innovative teaching methods are adopted by the faculty:

Computing devices with Internet facility are used for teaching processes by the faculty to give Power Point presentations, Role Play, Animations, Videos, Pictures etc., such that the students can easily understand the topic.
Faculty members are advised to avail the higher learning resources such as NPTEL, Coursera and other credible Internet sources for effective teaching.
Class rooms with LCD and Internet connection are used for teaching processes.
The faculty are implementing and utilizing Outcome Based Education (OBE) to cater the learning needs of students through innovative methodologies. Orientation programs are conducted for the newly joined faculty to make them aware of the OBE frame work to practice the regular activities in the department.
Each faculty prepares lecture notes and after completion of each unit of instruction, the material and soft copy will be shared with students.
All faculties maintain attendance registers and course files.
Internal question paper and Assignment Questions are prepared based on Bloom’s taxonomy and Bloom’s score will be calculated to identify the level of difficulty in the questions

Title: Flipped classrooms

Goal: To enhance student higher order learning by reversing the traditional model of a classroom, focusing class time on student understanding rather than on lecture.

Context: Flipped classroom in the Blended learning environment for delivering instructional content is a more advanced solution where face-to-face learning is limited. Students in flipped classes access and watch lecture video, read course handout and come to the classroom to complete activities such as group work, assignments, discussion, projects or other exercises. The flipped classroom model can be seen as a tool for implementation of blended learning.

Practice: Flipped classroom approach in the blended learning environment is extensively used in the department and exploited to its best.

The following are the steps involved in implementation of flipped classroom methodology in our department:

Concerned course faculty post instructions, lecture material and videos and the students are instructed to go through the same.
After the completion of each session the students must submit the quiz and grades for each student are issued.
The students are encouraged to hold discussions over the topic during face-to-face interaction in the classroom with the faculty.
Faculty members hold virtual class meetings for interaction through meeting application i.e., Google meet. Assignments are disseminated, cam scanned copy of assignment is evaluated and outcome of the assessment is posted for reference.
After completion of each unit, students are required to submit the assignment for each subject.

Demonstration of Concept:

Demonstration teaching is a model where a teacher or instructor demonstrates a skill, technique, or concept to students, often with the goal of having them replicate or apply what they’ve learned.

Improved understanding: Students gain a deeper understanding of complex concepts through visual demonstration.
Increased confidence: Students feel more confident attempting new skills or tasks after observing a demonstration.
Efficient learning: Demonstration teaching can be an efficient way to teach new skills or concepts.

Best Practices:

Clear instructions: Provide clear, concise instructions and demonstrations.
Active observation: Encourage students to actively observe and take notes during the demonstration.
Practice opportunities: Provide opportunities for students to practice what they’ve learned.

Title: Collaborative Learning

Goal: A collaborative conversation is a purposeful, outcome-driven conversation aimed at building on each others ideas. They generate new thinking and/or a more in-depth understanding of a desired outcome.

Context: The institute is promoting collaborative learning by implementing peer to peer teaching ideology to enhance problem solving capability and team skills which promotes healthy internal relations among the students for their all-round career development.

Peer To Peer Teaching

Peer to peer teaching is an effective teaching technique that can be used in the classroom/ lab to enhance learning. This would enable the students to revise their learning and be able to consolidate to fellow students. It also improves their subject knowledge as well as it improves their confidence with the following benefits:

Direct interaction between students promotes active learning.
Peer teachers reinforce their own learning by instructing others.
Students feel more comfortable and open when interacting with a peer.
Peers and students share a similar discourse, allowing for greater understanding.
Teachers get more time to focus on the higher order learning.

Think-Pair-Share (TPS)

TPS technique keeps all the students involved in class discussions and provides an opportunity for every student to share an answer to every question. It takes the fear out of class discussion by allowing the students to think carefully about their answers to talk about them with a partner before they called to respond.

Implementation of Think-Pair-Share Methodology

Monitor and support students as they work through the following:

T: (Think) Teachers initiate the process by asking a specific question. Students “think” about what they know or have learned about the topic.

P: (Pair) Each student shall be paired with another student or a small group.

S: (Share) Students share their thinking with their partner. Teachers expand the “share” into a whole-class discussion.

The following are few more collaborative learning activities that are implemented by the institute. They are as follows:

Seminars

Poster presentations

Paper presentations

Group Discussion

Lecture with Quiz

JAM sessions

Role play:

Role-playing is an effective teaching model that involves students acting out scenarios or roles to learn new skills, concepts, or behaviors.

Steps to Implement Role-Playing:

Define the scenario: Identify the scenario or topic to be role-played.
Assign roles: Assign students specific roles to play.
Set ground rules: Establish rules and expectations for the role-playing activity.
Debrief and discuss: After the role-playing activity, hold a debriefing session to discuss what was learned.

Best Practices:

Create a safe environment: Ensure students feel comfortable and safe participating in role-playing activities.
Encourage participation: Encourage all students to participate and engage in the role-playing activity.
Provide feedback: Offer constructive feedback to students on their performance and participation.

Animations:

The Animation Teaching model uses animations to convey complex concepts and ideas in an engaging and interactive way.

Increased engagement: Animations can capture students’ attention and maintain their interest.
Improved understanding: Animations can help students visualize complex concepts and relationships.
Enhanced retention: Animations can aid in retaining information and recalling concepts.

Types of Animations:

2D animations: Traditional cartoons or computer-generated 2D animations.
3D animations: Three-dimensional computer-generated animations.
Interactive animations: Animations that allow user interaction, such as simulations or games.

Best Practices:

Clear and concise: Ensure animations are clear, concise, and easy to understand.
Relevant and engaging: Use animations that are relevant to the topic and engaging for students.
Integrated with other teaching methods: Use animations in conjunction with other teaching methods, such as lectures and discussions

Title: Self-learning - Celonis Academy, MongoDB, UiPath, QlikLearning, Wadhwani foundation

Goal: The primary goal of engaging in self-learning through Celonis Academy, MongoDB University, UiPath Academy, Qlik Learning, and the Wadhwani Foundation is to build practical, industry-relevant skills that enhance career readiness and personal growth. Develop domain-specific expertise in process mining (Celonis), database management (MongoDB), robotic process automation (UiPath), data analytics (Qlik), and entrepreneurship & soft skills (Wadhwani Foundation).

Context: Self learning using curated courses offered by the mentioned platforms will make the students to learn how to apply theoretical knowledge to real-world scenarios by working on hands-on projects, case studies, and interactive exercises, Cultivate a mindset of continuous learning and adaptability, which are essential for success in the rapidly evolving digital landscape, Improve problem-solving, critical thinking, and automation skills to become more efficient, analytical, and innovation-driven, Earn industry-recognized certifications that strengthen my resume and increase employability in competitive job markets. The interdisciplinary approach by way of offering Minors/Majors in UG-Engineering programs is encouraged by this initiative. The courses on frontiers of engineering/emerging areas, employability skill-oriented courses are offered without compromising on regular curriculum.

Practice: The KPRIT gives information to the students about the courses offered through Training and Placement department. Students are informed to go through the video content and course handout in asynchronous manner. The classroom activities and laboratory sessions are conducted by the concerned mentor who supplements learning and promotes higher order cognition in learning. The synchronous learning instills confidence in the students for taking up regular assignments and submission of the same in timely manner. By completing these self-paced learning programs, the students are strive to become a versatile, tech-savvy, and job-ready professional capable of contributing effectively in dynamic, data-driven work environments.

Title: Experiential Learning

Goal: To promote professional skills and knowledge through hands on experience to increase knowledge and developing skills.

Context: To promote innovation and incubation among the students to become future entrepreneurs. Experiential learning has been initiated through Projects/Lab work and Internships. The motive is to introduce experiential learning to create a platform for the students in such a way that they get direct experience and exposure of work place setting, which in turn leads to all round development of the students under the guidelines of experienced teachers and resource persons in the respective domain

Practice: Project Method

This method is used to improve the ability to apply and to reinforce knowledge imparted in the classroom. Being a technical Institute, this method is extensively used to provide empirical evidence of the theory which is learned in the classroom. This will help the students to understand and apply concepts, principles or laws learned. The faculty and experts from industry guides the students at various stages of developing the projects to give timely inputs for the development of the model.

Major steps of the Project Method

Creating the situation (providing a situation)
Choosing the project (Selection of the Project)
Planning.
Carrying out the project (Executing)
Evaluating
Project Report

Teaching Learning Methods for the A.Y 2024-2025

Semester-I

S. No	Course	Teaching Methodology
1	Analog Circuits	Lecture Demonstration Method Think–Pair–Share
2	Network analysis and Synthesis	Lecture Tests WIL–WIT
3	Digital Logic Design	Lecture Quiz Demonstration of Concept
4	Signals and Systems	Lecture Seminars Method Group Discussions Peer-to-Peer Teaching
5	Microcontrollers	Lecture Demonstration Method Flipped Classroom
6	IoT Architectures and Protocols	Lecture Seminars Method Experiential Learning
7	Control Systems	Lecture Animation
8	Computer Organization and Operating Systems	Lecture Think–Pair–Share Seminars Method
9	Microwave and Optical Communications	Lecture Group Discussions Peer-to-Peer Teaching
10	Digital Image Processing	Lecture Quiz Enquiry-Based Learning
11	Network Security and Cryptography	Lecture Seminars Method Group Discussions Method Flipped Classroom

Semester-II

S. No	Course	Teaching Methodology
1	Probability Theory and Stochastic Processes	Lecture Collaborative Learning
2	Electromagnetic Fields and Transmission Lines	Lecture Demonstration Method Animations
3	Analog and Digital Communications	Lecture Seminars Method Demonstration of Concept
4	Linear and Digital IC Applications	Lecture Quiz Role Play
5	Electronic Circuit Analysis	Lecture Seminars Method Group Discussions Method WIL-WIT
6	Antennas and Wave Propagation	Lecture Demonstration Quiz
7	Digital Signal Processing	Lecture Demonstration Method WIL–WIT
8	CMOS VLSI Design	Lecture Tests Think-Pair-Share
9	Data Communications and Computer Networks	Lecture Quiz Peer-to-Peer Teaching
10	Satellite Communications	Lecture Seminars Method Group Discussions Method
11	Low Power VLSI Design	Lecture Demonstration Method WIL–WIT

Teaching Learning Methods for the A.Y: 2023-2024

Semester-I

S. No	Course	Teaching Methodology
1	Analog Circuits	Lecture Demonstration Method Flipped Classroom
2	Network analysis and Synthesis	Lecture Tests Think–Pair–Share
3	Digital Logic Design	Lecture Quiz Role Play
4	Signals and Systems	Lecture Seminars Method Group Discussions Method Think-Pair-Share
5	Microprocessors & Microcontrollers	Lecture Seminars Method Role Play
6	Data Communications and Networks	Lecture Demonstration Method Flipped Classroom
7	Control Systems	Lecture Seminars Method Experiential Learning
8	Electronic Measurements and Instrumentation	Lecture Seminars Method Group Discussions Method Think–Pair–Share
9	Microwave and Optical Communications	Lecture Collaborative Learning
10	Digital Image Processing	Lecture Demonstration Method Peer-to-Peer Teaching
11	Network Security and Cryptography	Lecture Quiz WIL–WIT

Semester-II

S. No	Course	Teaching Methodology
1	Probability Theory and Stochastic Processes	Lecture Demonstration Method
2	Electromagnetic Fields and Transmission Lines	Lecture Demonstration Method Flipped Classroom
3	Analog and Digital Communications	Lecture Demonstration Method Think-Pair-Share
4	Linear and Digital IC Applications	Lecture Quiz Think-Pair-Share
5	Electronic Circuit Analysis	Lecture Seminars Method Group Discussions Method Demonstration of Concept
6	Antennas and Propagation	Lecture Blended Learning
7	Digital Signal Processing	Lecture Demonstration Method Think–Pair–Share
8	VLSI Design	Lecture Tests Peer-to-Peer Teaching
9	Embedded System Design	Lecture Quiz WIL–WIT
10	Satellite Communications	Lecture Seminars Method Role Play
11	Low Power VLSI Design	Lecture Demonstration Method Flipped Classroom

Teaching Learning Methods for the A.Y: 2022-2023

Semester-I

S.No	Course	Teaching Methodology
1	Electronic Devices and Circuits	Lecture Seminars Method Animation
2	Network Analysis and Transmission Lines	Lecture Think-Pair-Share
3	Digital System Design	Lecture Quiz Demonstration Method
4	Signals and Systems	Lecture Flipped Classroom
5	Probability Theory and Stochastic Processes	Lecture Collaborative Learning
6	Microprocessors & Microcontrollers	Lecture Group Discussions Method What I Learn & What I Teach
7	Data Communications and Networks	Lecture Demonstration Method Animation
8	Control Systems	Lecture Flipped Classroom
9	Electronic Measurements and Instrumentation	Lecture Quiz Seminar
10	Microwave and Optical Communications	Lecture Seminar WIT-WIL
11	Digital Image Processing	Lecture Quiz Animation
12	Network Security and Cryptography	Lecture Group Discussions Method Animation

Semester-II

S.No	Course	Teaching Methodology
1	Electromagnetic Fields and Waves	Lecture Group Discussions Method
2	Analog and Digital Communications	Lecture Flipped Classroom
3	Linear IC Applications	Lecture Seminars Method Peer to Peer Collaboration
4	Electronic Circuit Analysis	Lecture Animation
5	Antennas and Propagation	Lecture Group Discussions Animation
6	Digital Signal Processing	Lecture Flipped class room
7	VLSI Design	Lecture Animation
8	Embedded System Design	Lecture Group Discussions Demonstration
9	Radar Systems	Lecture Group Discussions
10	Low Power VLSI Design	Lecture Animation

Teaching Learning Methods for theA.Y: 2021-2022

Semester-I

S.No	Course	Teaching Methodology
1	Electronic Devices and Circuits	Lecture Seminars Method Animation
2	Network Analysis and Transmission Lines	Lecture Think-Pair-Share
3	Digital System Design	Lecture Quiz Demonstration Method
4	Signals and Systems	Lecture WIL-WIT
5	Probability Theory and Stochastic Processes	Lecture Role Play
6	Microprocessors & Microcontrollers	Lecture Group Discussions Method
7	Data Communications and Networks	Lecture Demonstration Method Animation
8	Control Systems	Lecture Demonstration
9	Electronic Measurements and Instrumentation	Lecture Quiz Seminar
10	Microwave and Optical Communications	Lecture Seminar Think-Pair-Share
11	Digital Image Processing	Lecture Quiz Animation
12	Network Security and Cryptography	Lecture Group Discussions Method Animation

Semester-II

S.No	Course	Teaching Methodology
1	Electromagnetic Fields and Waves	Lecture Group Discussions Method Animation
2	Analog and Digital Communications	Lecture Blended Learning
3	Linear IC Applications	Lecture Seminars Method Animation
4	Electronic Circuit Analysis	Lecture Animation
5	Antennas and Propagation	Lecture Group Discussions
6	Digital Signal Processing	Lecture Flipped class room Collaborative learning
7	VLSI Design	Lecture Animation
8	Embedded System Design	Lecture Group Discussions Demonstration
9	Radar Systems	Lecture Group Discussions
10	Low Power VLSI Design	Lecture Animation

Best Projects

The Department of ECE at KPRIT always strive to improvise the skills set of the students. One such way that the students gain the knowledge and skills is through projects. The project works carried out by the students are measured through parameters namely Modern tool Usage/ Research, Application of Project to Industry Needs and Standards, weather the projects can be converted into products or services in future, whether the project satisfies the cost, Ethical and Social factors, Environment and sustainability.

Best Projects for the Academic Year: 2024-25

S. No.	Name of the Project	Roll No.	Name of the Student	Name of Guide
1	Driven Analysis of Electric Vehicle Population Trends For Sustainable Transportation Policies And Planning	21RA1A0406 22RA5A0402 21RA1A0407	P. Keerthi Divya M Alla Lokesh Reddy	Y. Vishwa Sri Dr. S. Sreenath Kashyap
2	IoT Based Health Assistance System	21RA1A0404 22RA5A0403 21RA1A0414 22RA5A0401	Dubba Hindumathi Durga Prasad M Lonka Vikas Anil Kumar K	Dr. S. Sreenath Kashyap M. Soumya
3	Advanced noise reduction techniques for enhancing clarity in telecommunications and broad cast audio systems	22RA5A0421 22RA5A0420 22RA5A0418	Sushma Ch Supraja A Sravan Kumar Bandi	M. Soumya S. Swapna

Best Projects for the Academic Year: 2023-24

S. No.	Name of the Project	Roll No.	Name of the Student	Name of Guide
1	4G/5G Network Based Campus Notice Board for Real Time Updates	21RA5A0403 21RA5A0402 20RA1A0401 20RA1A0416	Divya Sri Endla Chandu Dornala Kavali Akhilesh Dharmapuri Srivamshi	Y. Vishwa Sri, S. Swapna
2	Design and Development of Accelerometer Enabled Smart wheel chair for Paralyzed Individuals	20RA1A0407 21RA5A0401 20RA1A0402 20RA1A0412	Vuluki Kavya Sri Anil Varma Bolleni Arun S. Praveen	Dr. S. Sreenath Kashyap, P. Hussain
3	Improving Public Transport Accessibility for the Blind with RFID and IoT-Integrated Bus Detection Systems	20RA1A0417 20RA1A0403 20RA1A0418 21RA5A0408	Sanala Teja P. Deekshith M. Uday Kiran Sai Krishna K	B. Nagalaxmi Y. Vishwa Sri

Best projects for the Academic Year 2022-23

S. No.	Name of the Project	Roll No.	Name of the Student	Name of Guide
1	Solar and IoT Based Multi- Functional Agriculture Robot	19RA1A0428 19RA1A0411 19RA1A0437 19RA1A0413	Sai Prasanna Kumar Y K. Lakshmi Santoshi T. Spandana Reddy Mahesh Yadav.M	Dr.S.Sreenath Kashyap Y. Vishwa Sri
2	Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure from Heart Sounds	19RA1A0433 19RA1A0401 19RA1A0418	V. Shruthilaya K. Akhila CH. Niharika	Y. Vishwa Sri Dr.S.Sreenath Kashyap
3	IoT Smart Bin	19RA1A0415 19RA1A0414 19RA1A0409 19RA1A0425	S. Mounika Reddy A. Manikanth Reddy G. Lasya Sri P. Sai Charan	Dr.S.Sreenath Kashyap K. Shyam

Open The PDF

Internal Quality of Question Paper

Question paper setting

For each Course question bank is prepared.
While setting the question paper all previous university exam papers are taken into consideration.
The pattern/format of question paper is followed as per the university guidelines.

Evaluation

A scheme of evaluation is to be given by concerned paper setter which will be the base for the evaluation of the answer scripts.
After every mid semester assessment test, faculty members explain the solution of the question in the class which will enable them to perform well in the final examination.
If the student remains absent for all the tests conducted, the mid semester assessment marks are marked as “Absent” in the results.

Effective process implementation

Question papers are set and peer reviewed by a group head. Initial question paper for mid semester exam is set by following mention steps.

1. Initial draft of the paper is prepared by concerned subject faculty by taking into consideration of blooms taxonomy and Course outcomes.
2. Draft of the paper is then presented to the department review committee for review.
3. The review committee may give comments if any.
4. Question paper is revised after including the suggestions of review committee and presented once again to review committee till it is approved.
5. Final paper is drafted after approval of the review committee.

Blooms Taxonomy is followed while setting the internal exam question papers

Process to ensure question from outcomes/ learning levels perspectives

For each question given in the question paper the relevant CO and blooms taxonomy levels are mapped and specified.

A sample of mid semester question paper is specified below.

Academic Year: 2018-19

Academic Year: 2017-18

Methodologies to support weak students and encourage bright students:

Guidelines to identify weak students

The department has the mechanism to identify the weak students and bright students with a set of guidelines, and mentoring them accordingly.

Mechanism of identification weak/ bright students and mentoring :

Appropriate care has been taken by the faculty in identifying weak/bright students.
Monitoring the performance of a student in the class like attendance, assignment, mid semester and external examination results are the parameters consider to identify weak/bright students.
For weak students Remedial and Revisions classes are conducted and Evaluation of the students is carried out from time to time to assess their progress.
Bright students are encouraged to participate in Technical Events, Ideathons, Hackathons, Smart India Competitions, Drone Technology and Project Expo and motivating them to apply for competitive exams.
The mentors regularly conduct meeting with the students.

Impact Analysis

Reduced number of identifiable weak students
Motivated to participate in extra and co-curricular activities.
Improved results and less failure in the subject.

Scheme for Weak and Advanced Learners

The department has a well defined process of monitoring, guiding and assisting the students and to identify them as weak or bright students and providing them necessary support in improving their performance.

Process of identification of students as weak/ bright students:

Appropriate care has taken by the faculty in monitoring the performance of a student in the class, attendance, assignment, mid semester and external examination results.
The mentors regularly conduct meeting with the students and identify weak and bright students.
The mentors regularly conduct meeting with the students and identify weak and bright students.
Faculty will analyze and identify the weak students and bright students based on their previous performance before the start of the semester.
After the 3rd week of classes based on the observation and previous semester result the identification of weak and bright students will be done.

Scheme

Students who got below 60% or less than or equal to 14/25 marks in mid semester are considered as weak students, Students who scored above 72 % or more than 18/25 Marks are considered as bright students.

As the students enter into the engineering program, they need a lot of guidance regarding their education, career, behavior, social responsibilities, skill development, etc., which were usually not focused in their previous schools/colleges. Hence, in order to transform the students into well-qualified, industry-ready, and good citizens of India, the students require frequent interaction and counseling.

II Year Mentor-Mentee List

S. No.	Roll No.	Name of the Student	Mentor Name
1	23RA1A0401	Abhinay Prathapa	M. Soumya
2	23RA1A0402	Abhishek Goud Kalla
3	23RA1A0403	Akshay Kadarla
4	23RA1A0404	Anil Jinka
5	23RA1A0405	Anjaneyulu
6	23RA1A0406	Anusha Gurrala
7	23RA1A0407	Ashrith Sathyadeep Kammagani
8	23RA1A0408	Balu Goud Godise
9	23RA1A0409	Bunny Neela
10	23RA1A0410	Eshwar Jethala
11	23RA1A0411	Harsha Vardhan Rupineni	Dr. P. Anil
12	23RA1A0412	Hymavathi Kothuru
13	23RA1A0413	Jagadeesh Kalivela
14	23RA1A0414	Krupa Gollapally
15	23RA1A0415	Lokesh Yadav M
16	23RA1A0416	Mahesh Yerraguntla
17	23RA1A0417	Mallik Himanshu
18	23RA1A0418	Manaswini Pottenolla
19	23RA1A0419	Meghana Kumma
20	23RA1A0420	Mounika Macharla
21	23RA1A0421	Prasanna Priya Bashakarla	K. Shyam
22	23RA1A0422	Pravalika Cherala
23	23RA1A0423	Rakesh Janmula
24	23RA1A0424	Rakesh Yanagandula
25	23RA1A0425	Ram Reddy Saddi
26	23RA1A0426	Ranjith Kola
27	23RA1A0427	Ratnakar Vadlakunta
28	23RA1A0428	Rishika Vadlamudi
29	23RA1A0429	Sai Chandra Malyala
30	23RA1A0430	Sai Kumar Reddymalla
31	23RA1A0431	Sai Nikhil Reddy Lavu	Shaik Nagurvali
32	23RA1A0432	Sameer Muhammad
33	23RA1A0433	Sathwik Paidipelli
34	23RA1A0434	Shiva Kumar Anne
35	23RA1A0435	Sravanthi Naikoti
36	23RA1A0436	Udaya Laxmi Patchapuram
37	23RA1A0437	Uppender Purnam
38	23RA1A0438	Venkat Mandhula
39	23RA1A0439	Vijay Kumar Aerroju
40	23RA1A0440	Vikram Neeli
41	23RA1A0441	Vinshitha Sadam	P. Hussain
42	23RA1A0442	Vishnu Adunuri
43	23RA1A0443	Vivekanandan Jaggari
44	23RA1A0444	Manvitha Dussa
45	24RA5A0401	Abhilash Gajula
46	24RA5A0402	Abhinaya Sri Athikam
47	24RA5A0403	Ajay Sadhu
48	24RA5A0404	Jayasri Mokku
49	24RA5A0405	Mahesh A
50	24RA5A0406	Mithil Kumar Akkapally
51	24RA5A0407	Navatha Rajapeta	P. Sujatha
52	24RA5A0408	Naveen Kumar Gugulothu
53	24RA5A0409	Praveen Varla
54	24RA5A0410	Raj Kumar Anala
55	24RA5A0411	Rishanth Chittapuram
56	24RA5A0412	Sagar Budagam
57	24RA5A0413	Sai Prasana Rodda
58	24RA5A0414	Shiva Vadla
59	24RA5A0415	Shyamala Pambala
60	24RA5A0416	Sravan Kumar Aranagi
61	24RA5A0417	Sravanthi Tatepally	P. Snigdha Kamala
62	24RA5A0418	Sri Varsha Nalapala
63	24RA5A0419	Srujana Thota
64	24RA5A0420	Sukumar Regunta
65	24RA5A0421	Sunil Kumar Asoda
66	24RA5A0422	Thrikoti Reddy Inturi
67	24RA5A0423	Vishnu Teja Akula

III Year Mentor-Mentee List

S. No.	Roll No.	Name of the Student	Mentor Name
1	22RA1A0401	Dacharam Abhishek	Y. Vishwa Sri
2	22RA1A0402	Mudavath Ajay
3	22RA1A0403	Thodeti Akash
4	22RA1A0404	Erragolla Anilkumar
5	22RA1A0405	Mehren Ansari
6	22RA1A0406	Bommagoni Baswaraju
7	22RA1A0407	Paddana Bhargavi
8	22RA1A0408	Sugu Bhargavi
9	22RA1A0409	Thuti Deepak
10	22RA1A0410	Dabburi Devesh
11	22RA1A0411	Jeedi Dona Chandana	Dr. P. Anil Kumar
12	22RA1A0412	Peerlapally Durga Prasad Reddy
13	22RA1A0413	Shaik Eshwar Pranav Sanjay
14	22RA1A0414	Mohammed Faheem
15	22RA1A0415	Bathini Ganesh
16	22RA1A0416	Annapureddy Gayathri
17	22RA1A0417	D.Hari Rohith
18	22RA1A0418	Pudi Hari Sai Naga Manikanta
19	22RA1A0419	Yarram Jagathi
20	22RA1A0420	Bakka John Samuel
21	22RA1A0421	Dommata Karthik Reddy	S. Swapna
22	22RA1A0422	Metthalla Kishore Babu
23	22RA1A0423	Chegonda Krishnavamshi
24	22RA1A0424	Dheeravath Lokesh
25	22RA1A0425	Thanniru Mahesh
26	22RA1A0426	Shaik Majid
27	22RA1A0427	Shaik Musthaq Ahamed
28	22RA1A0428	Mogilipaka Naveen
29	22RA1A0429	Poloju Poojitha
30	22RA1A0430	Battu Prashanth
31	22RA1A0431	Kanuganti Prashanth	B. Nagalaxmi
32	22RA1A0432	Megavath Premkumar
33	22RA1A0433	Avidapu Rahul
34	22RA1A0434	Bodduna Rahul
35	22RA1A0435	Kunduru Rahul Yadav
36	22RA1A0436	Bhukya Rajashekar
37	22RA1A0437	Pedagolla Ramesh Yadav
38	22RA1A0438	Pagidala Rishika Reddy
39	22RA1A0439	Kommula Rushikesh Reddy
40	22RA1A0440	Gayatri Sai Bharat Pulipaka
41	22RA1A0441	Guguloth Sai Charan	Shaik Imam Vali
42	22RA1A0442	Kummari Sai Harshitha
43	22RA1A0443	Divili Sai Charan
44	22RA1A0444	Akula Shiva
45	22RA1A0445	Korvetha Shivaramprasad
46	22RA1A0446	Royyala Shravan Kumar
47	22RA1A0447	Dhudipala Shushrutha Reddy
48	22RA1A0448	Talla Sree Sandeep Reddy
49	22RA1A0450	Pochagoni Srikanth
50	22RA1A0451	Chekkabandi Srinikitha
51	22RA1A0453	Kethavath Thirupathi	Ch. Bhavani
52	22RA1A0454	Penta Uday Sagar
53	22RA1A0455	V Umesh
54	22RA1A0456	Kundarapu Vamshikrishna
55	22RA1A0457	Devarai Vani
56	22RA1A0458	Kodithyala Varshitha
57	22RA1A0459	Gandra Venkatesh
58	22RA1A0460	Kethavath Vikas
59	22RA1A0461	Sana Vinay Kumar Reddy
60	22RA1A0462	Bayyapu Vinith Reddy
61	22RA1A0463	Raini Yeshwanth	Amala
62	23RA5A0401	Aishwarya S
63	23RA5A0402	Akhila Kodari
64	23RA5A0403	Bhavani Pendem
65	23RA5A0404	Charan Kumar Boga
66	23RA5A0405	Navya Vanarasi
67	23RA5A0406	Snehitha Nangari
68	23RA5A0407	Trividha Kummari
69	23RA5A0408	Veerendra Prasad Mitte

IV Year Mentor-Mentee List

S. No.	Roll No.	Name of the Student	Mentor Name
1	21RA1A0401	Mekala Abhilash Reddy	B. Nagalaxmi
2	21RA1A0403	Sabhavath Chinna
3	21RA1A0404	Dubba Hindumathi
4	21RA1A0405	Gopavarapu Indrasena
5	21RA1A0406	P Keerthi
6	21RA1A0407	Alla Lokesh Reddy
7	21RA1A0408	Anuga Naresh
8	21RA1A0409	Ganji Nikhil
9	21RA1A0410	Ramavath Parashuram
10	21RA1A0411	Gandlakanna Sandeep
11	21RA1A0412	Sindhu Cherukupally	Dr. Vipul Kumar M Dabhi
12	21RA1A0414	Lonka Vikas
13	22RA5A0401	Anil Kumar K
14	22RA5A0402	Divya M
15	22RA5A0403	Durga Prasad M
16	22RA5A0404	Gopaiah N
17	22RA5A0405	Harshavardhan Teja B
18	22RA5A0406	Karthik K
19	22RA5A0407	Karthik Reddy Koppula
20	22RA5A0408	Keerthika P
21	22RA5A0409	Khusboo Solanki	Shaik Imam Vali
22	22RA5A0410	Lakshmi Varun G
23	22RA5A0411	Madhu Gaddam
24	22RA5A0412	Manusri T
25	22RA5A0413	Pavan Teja Mallaiah
26	22RA5A0414	Raghupathi Parpelli
27	22RA5A0415	Rahul S V
28	22RA5A0416	Saisharath Allivadha
29	22RA5A0418	Sravan Kumar Bandi
30	22RA5A0419	Srinesh Goud E
31	22RA5A0420	Supraja A	P. Hussain
32	22RA5A0421	Sushma Ch
33	22RA5A0422	Uday Kumar Burugu
34	22RA5A0423	Vagdevi V
35	22RA5A0424	Vamshi Krishna Balla
36	22RA5A0425	Vijay Kumar A

Contact Us

DEPARTMENT OF Electronics & Communication

Kommuri Pratap Reddy Institute of Technology,
Email: ecehod@kpritech.ac.in,
Ghanpur [V], Near NTPC, Ghatkesar [M],
Medchal [D], Telangana, India. Pin: 500088.

Department of Electronics & Communication

Vision of the Department

Mission of the Department

Faculty

S.No

Name of the Staff

Qualification

Designation

JNTU ID

Details

Course Outcomes

Characteristics of Good Course Outcomes:

The advantages of Course Outcomes:

Benefits for the course and module designer

Benefits for quality assurance and standards

Benefits for Students and employers

Benefits for national and international educational transparency

Course Outcomes for the Department of Computer Science and Engineering

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

PO1.

PO2.

PO3.

PO4.

PO5.

PO6.

PO7.

PO8.

PO9.

PO10.

PO11.

PO12.

PROGRAM EDUCATIONAL OBJECTIVES

PEO1.

PEO2.

PEO3.

Department Laboratories

Workshops/Guest Lectures/Seminars organized by the Department

Industrial visit

I Semister

Course Code & Title

II Semister

Course Code & Title

I Semister

Course Code & Title

II Semister

Course Code & Title

I Semister

Course Code & Title

II Semister

Course Code & Title

Professional Elective-I

Professional Elective-II

Professional Elective-III

Professional Elective-IV

Professional Elective-V

Professional Elective-VI

Open Elective-I

Open Elective-II

Open Elective-III

Professional Elective-I

Professional Elective-II

Professional Elective-III

Professional Elective-IV

Professional Elective-V

Professional Elective-VI

Open Elective-I

Open Elective-II

Open Elective-III

I Semister

Course Code & Title

II Semister

Course Code & Title

I Semister

Course Code & Title

II Semister

Course Code & Title

I Semister

Course Code & Title

II Semister