Electronics and Communication Engineering
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Laboratory
ICA-PDC-Laboratory
32 SQ. Feet
MPMC-Embedded-Systems-Lab
32 SQ. Feet
NILabVIEW-Training-Lab
32 SQ. Feet
Microwave-Laboratory
32 SQ. Feet
ECA-SW-Lab
32 SQ. Feet
Basic-Simulation-Lab
32 SQ. Feet
AC-STLD-HW-Lab
32 SQ. Feet
Conference Room
32 SQ. Feet
VLSI - Lab
32 SQ. Feet
ML & CCIOT - Laboratory
32 SQ. Feet
Auditorium
64 SQ. Feet
Tools licensed
- Mentor Graphics Back end Tool-HEP1
- Xilinx Vivado system design suite
- Cadence University Bundle Analog and Digital FE & BE
- Zed boards
- MATLAB 2015A Version
- MSP 43O and analog trainer kits
- NI Lab View Site License
- My DAQ with required accessories
- My RIO with addon kits
- Raspberry pi 3
- RASPBERRY PI B Plus
- ARDUINO UNO
- ARDUINO MEGA
- ARDUINO NANO
- ARM7 Kits
- NODE MCU(ESP 12E)
- Julia plus 3D printer
Resources
- Six software laboratories and Four hardware laboratories are available in the department.
- Exclusive R&D lab to carry out UG, PG projects and research.
- Strong Industry interaction
- MoUs signed with NI, Mathworks & CISCO for various certification courses
- Exclusive Auditorium with 200 seating capacity.
- Classrooms with internet and projector facilities
- Department library with e-Journals and video lectures
- The internet available in the department laboratories and faculty rooms.
- Computer systems with central system administration
- Department laboratories are well equipped to satisfy curriculum requirement beyond the curriculum
- Advanced industry oriented Hardware/Software equipment available in the laboratories.
- All computers in the laboratory have a UPS backup.
In addition to the regular practical classes, labs are also used for the following:
- Workshops
- Value Added Courses
- Skill training programmes
- Project training
- Faculty Development Programmes
Value Added Courses
| S.No | VAC Course | Offered students | Faculty | Description | Outcome |
|---|---|---|---|---|---|
| 1 | CISCO | II,III & IV | Mr.Kumar Neeraj & Mr.P.Praveen | Course aimed to provides knowledge on technology areas like Networking (including Ethernet, optical, wireless and mobility), Security, Collaboration (including voice, video, and data), Data Center, and the Internet of things. It supports to understand security controls for networks, servers, and applications,Learn valuable security principles and how to develop compliance policies,Implement the correct procedures for data confidentiality and availability and develop critical thinking and problem-solving skills using real equipment and Cisco Packet Tracer. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 2 | Python Programming | II | Dr.T.Rajesh, Mrs.B.Pavitra,Mrs.S.Amritha & Mr.R.Ramprakash | Have a fundamental understanding of the Python programming language and have the skills and understanding of Python to confidently apply for Python programming jobs. Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 3 | Xilinx | III | Dr.M.Kiran Kumar,Mr.P.Ramprakash and Mrs.Amrita Sajja | Xilinx Tools is a suite of software tools used for the design of digital circuits using Field Programmable Gate Array (FPGA) or Complex Programmable Logic Device (CPLD). This course aims to provide exposure on differnt stages of digital circuit design flow like (a) design entry, (b) synthesis and implementation of the design (c) functional simulation (d) testing and verification. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 4 | NI | III | Mr.Murthy and Mr.Murali Krishna | LabVIEW is an application development environment for visual programming. This course aimed to support for data acquisition, instrument control and industrial automation | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 5 | Simulink | III | Mrs.J.Sudha Rani and Mr.L.Praveen | This course focused to provide the knowledge on Simulink tool which is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation and continuous test and verification of embedded systems. Simulink provides a graphical editor,customizable block libraries, and solvers for modelling and simulating dynamic systems. It is integrated with MATLAB and enabling to incorporate MATLAB algorithms into models. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 6 | Embedded IoT | III | Mrs.R.NagaSwetha,Mrs.B.Pavitra & Mrs. Aparna Priya | It is focused to provide knowledge on sensor interface with embedded device, IoT device provisioning and the latest wireless communication protocols including Wi-Fi, Bluetooth, and transport protocols such as MQTT. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 7 | Matlab | II | Mr.L.Praveen and Mrs.J.Sudha Rani | This course aims to provide knowledge on matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
| 8 | Machine learning | IV | Dr.D.Haripriya, Mrs.M.Kusuma sri, Mrs.B.Pavitra & Mrs Amritha Sajja | This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. It introduces the basics of computational learning theory and solve various issues related to the application of machine learning algorithms.It will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions. | Make the students industry ready. Develop projects to solve the problems. Receive certification course.Receive intership for respective domain. Equip the students to get jobs in respective domain. |
