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
- To impart quality education to students in Basic Sciences, Mathematics, Electronics and Communication Engineering through innovative teaching-learning processes.
- To facilitate students to define, design, and solve engineering problems in the field of Electronics and Communications Engineering using various Electronic Design Automation (EDA) tools.
- To encourage research culture among faculty and students thereby facilitating them to be creative and innovative through constant interaction with R & D organizations and Industry.
- To inculcate teamwork, imbibe leadership qualities, professional ethics and social responsibilities in students and faculty.

Faculty
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 |
11 | Ch.Rajini | M.Tech, (PhD) | Asst Professor | 8879-160306-130506 | View |
12 | D.Swathi | M.Tech | Asst Professor | 0778-171208-115828 | View |
13 | Nara Sai Krishna | M.Tech, (PhD) | Asst Professor | 5139-170102-174143 | View |
14 | Shravan Kumar Marry | M.Tech | Asst Professor | 1960-160107-145049 | View |
Course Outcomes
Course Outcomes are statements that describe significant and essential learning that the Students have achieved, and can reliably demonstrate at the end of a course. A Course outcome makes clear the intended result of the learning rather than what form the instruction will take. 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.
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
Mission of the Department
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:
- Basic Simulation & Digital Signal Processing Lab
- Microprocessor and Microcontroller, VLSI-ECAD Lab
- Analog and Digital Communication, Microwave Engineering Lab
- Digital Electronics Lab
- Pulse and Digital Circuits, Linear IC Applications Lab
- Electronic Devices and Circuits, Analog Electronics Lab
- R&D and Project Lab
Industrial visit
S.no | Name of the industry visited | Date of Visit |
1 | National Remote Sensing Agency | 26-09-2018 |
2 | L&T | 23-01-2019 |
3 | Central Power Research Institute | 22-02-2019 |
4 | NANOSPAN | 28-02-2019 |
5 | National Remote Sensing Corporation | 01-03-2019 |
6 | Central Power Research Institute | 22-09-17 |
7 | ARHAYAMA Solar | 04-01-2018 |
8 | MSR Bio Pvt Ltd | 04-01-2018 |
9 | BSNL, RTTC Gachibowli | 23-01-2018 |
10 | Doordarshyan Kendra, Ramanthapur & Malakpet | 19-10-2016 |
11 | T-Hub | 18-02-2017 |
Course file
Course File Contents
Sr. No. Contents
1 Institute V & M , Department V&M, PEO’s, PO’s, PSO’s
2 University Syllabus
3 Course Outcomes
4 CO-PO mapping with Justification
5 Is Syllabus Changes Listed?
6 Gaps Identified during Mapping if any
7 Topics beyond syllabus
8 Evidence of (Seminar/ Guest lecture/ Workshop, etc.) conducted for fulfilment of Gap
9 Revised CO-PO Mapping if any
10 Student Customization based on previous year/ semester result
11 Student Customization based on Mid-I & Mid-II
12 Course outcome assessment sheet
13 Lecture notes
14 PPT’s, Videos (in CD), Self Learning Material
15 Web references
16 Charts
17 Assignments
18 Tutorial evidence
19 Unit wise Question bank
20 Is Gate Question bank present?
21 Mid 1- Question papers
22 Mid 1 - Question paper – Key
23 Mid 1 - Question paper – Scheme of Evaluation
24 Mid 2- Question papers
25 Mid 2 - Question paper – Key
26 Mid 2 - Question paper – Scheme of Evaluation
27 University Question papers (Last three years)
28 Remedial Classes
29 Result Analysis (After Completion of course )
30 Student Feedback Analysis
31 Lesson plan
32 Time table
33 Department Calendar
34 University Calendar
35 Attendance Register -Teacher Log updated with signature of faculty and HOD
36 Internal, Assignment Marks entry in Attendance Register
37 Sample Answer Sheets
38 Sample Assignment Sheets
39 Sample Tutorial Sheets
40 Audited by IQAC
Signature of the faculty
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 2020-21
Department | Project No. | Title of Project | Roll No. | Name of Student | Name of Guide |
Electrical & Communications Engineering | Project 1 | Smart safety system for women using IoT | 17RA1A0423 | Marepally Manu Kaushik | Dr. S.SreenathKashyap |
17RA1A0431 | PatturiPrashanthi | ||||
17BE1A0402 | AkunuruRuchitha | ||||
Project 2 | Artificial Intelligence framework for skin cancer detection and classification | 17BE1A0412 | GattojiNithin | Dr. VipulDabhi | |
17BE1A0403 | Amaravadi Chandra Vamshi | ||||
17BE1A0410 | G Arun Krishna |
Internal Quality of Question Paper
A sample of mid semester question paper is specified below.
Academic Year: 2018-19

Academic Year: 2017-18

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.