The Department of Electronics and Communication Engineering has been established in the year 1999 and it is offering UG program in Electronics and Communication Engineering with an intake of 60 from the academic year 2012-13. It is also offering PG program M.E Communication System in the academic year 2011-2012.
Situation of students with inabilities in standard schools is the favored educational alternative in Tasmania. To the furthest reaches potential, students with handicaps ought to be taught in the organization of their age peers while likewise being furnished with educational program and backing to address their issues. Definitions Inclusive schooling is the result of endeavoring to accommodate all students, incorporating those with incapacities, in customary schools they have to check that writing resource to make their education easier, especially writing. Consideration suggests accommodating all students inside the educational program of the customary school. The accentuation is on how schools can change to address the issues of students with incapacities. Joining is the way toward bringing students with incapacities into customary schools from a setting wherein they have recently been barred. Reconciliation suggests that students that have been prohibited can be brought into a standard school. The accentuation is on how the student can fit into the current school structure.
To become a centre of excellence in the field of Electronics and Communication Engineering offering higher order of learning and conducting contemporary research and thereby producing globally competitive and ethically strong Engineering professionals.
To establish a scintillating learning environment to produce quality graduates with passion for knowledge and creativity in the field of Electronics and Communication Engineering.
To impart quality education through periodically updated curriculum to meet the challenges of the industry and research at the global level.
To enhance the employability of the students by providing skills through comprehensive experiential learning.
To empower the faculty through continuous training in domain, research and pedagogy for enhancing learning outcomes of the students and research output.
Graduates can
Apply technical knowledge and skills to have successful career in industry, government and academia as communication engineers
Pursue multidisciplinary scientific research in communication and related areas
Make use of various state-of art systems and cutting edge technologies to solve various complex engineering problems.
Inculcate leadership skills, team work, effective communication and lifelong learning to the success of their organization and nation.
Practice ethics and exhibit commitment in profession to empower / enable rural communication infrastructure.
An ability to independently carry out research/investigation and development work to solve practical problems.
An ability to write and present a substantial technical report/document.
Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
Design and analyze RF, Signal processing, Networking, Adaptive and modern communication systems.
Develop the knowledge in 5G communication techniques, mm wave communication, smart antennas , Massive MIMO and Wireless sensor networks.
Apply various software tools and cutting edge engineering hardware to provide solutions for complex communication engineering problems.
The Students will be able to
Design, develop and analyze electronic systems through application of relevant electronics, mathematics and engineering principles.
Design, develop and analyze communication systems through application of fundamentals from communication principles, signal processing, and RF System Design & Electromagnetics.
Adapt to emerging electronics and communication technologies and develop innovative solutions for existing and newer problems.
COURSE OUTCOMES:
After the completion of the course, the student will be able to
Apply various methods in Linear Algebra to solve the system of linear equations.
Use two-dimensional random variables, correlations and regression in solving application problem.
Apply the ideas of Random Processes.
Uunderstand the basic characteristic features of a queueing system and acquire skills in analyzing queueing models.
Apply the Simplex method for solving linear programming problems.
COURSE OUTCOMES:
On the successful completion of the course, students will be able to
CO1:Analyze discrete time random processes.
CO2:Apply appropriate model for estimation and signal modeling for the given problem.
CO3: Analyze non-parametric and parametric methods for spectral estimation.
CO4: Design optimum filter for the given problem.
CO5: Design adaptive filters for different applications.
COURSE OUTCOMES:
Upon completion of the course, the students will be able to
CO1:Differentiate coherent and non coherent receivers and analyse their performance under AWGN channel conditions.
CO2:Illustrate the effect of signalling through bandlimited channels and Equalization techniques used to overcome ISI.
CO3:Determine the channel capacity and design various block coding techniques to combat channel errors.
CO4:Construct convolutional coders and analyze the performance of different decoding techniques.
CO5:Describe the basics of OFDM as a multicarrier communication and CDMA as a multiuser communication technique.
COURSE OUTCOMES:
At the end of the course, the student will be able to:
CO1: Analyze the wireless channel characteristics and identify appropriate channel models.
CO2: Understand the mathematics behind the capacity calculation under different channel conditions.
CO3:Understand the implication of diversity combining methods and the knowledge of channel.
CO4: Understand the concepts in MIMO Communications.
CO5: Understand mulitiple access techniques and their use in different multi-user scenarios.
COURSE OUTCOMES:
At the end of the course, the student will be able to:
CO1:Understand the fundamentals behind the different techniques in antenna technology.
CO2:Understand the challenges associated in designing antennas based on different technologies.
CO3: Understand the capability and assess the performance of various antennas.
CO4: Identify the antennas specific to the applications, design and characterize.
CO5:Understand the need for optimizing in antenna design and the methodologies for the same.
COURSE OUTCOMES:
Upon the completion of course, students are able to:
Implement the adaptive filtering algorithms.
Generate and detect digital communication signals of various modulation techniques using MATLAB.
Evaluate cellular mobile communication technology and propagation model.
Apply mathematical formulation to analyze spectrum estimation of a signal and bit rate determination of a transmission link.
Analyze the performance of optimization algorithms for equalizing the channel or noise/echo cancellation.
Able to design synchronization algorithm for Digital Communication systems.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
Generate deterministic/Random sequences using simulation tool.
Design and analyze the frequency response of FIR/IIR digital filters for the given specifications.
Estimate power spectrum of the given random sequence usingparametric/nonparametric estimation methods.
Implement adaptive filters using LMS/RLS algorithm Analyze the discrete time systems at various sampling rates.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
CO1:understand the specifications of transceiver modules.
CO2:understand pros and cons of transceiver architectures and their associated design considerations.
CO3: understand the impact of noise and amplifier non-linearity of amplification modules and also will learn the resultant effect during cascade connections .
CO4: get exposure about spurs and generation principles during signal generation and frequency translations .
CO5: understand the case study of transceiver systems and aid to select specification parameters.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
CO1: understand the concepts of planar transmission line.
CO2:Design impedance matching circuits using LC components and stubs.
CO3: Design and analyze microwave components.
CO4: Perform stability analysis and be able to design amplifiers and oscillators at microwave frequencies.
CO5:Perform simulations, fabricate and test microwave devices.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
CO1:get an exposure to the latest 4G networks and LTE.
CO2: Understand about the wireless IP architecture and LTE network architecture.
CO3:know the adaptive link layer and network layer graphs and protocol.
CO4: Understand the mobility management and cellular network.
CO5: Understand the wireless sensor network architecture and its concept.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
CO1:Understand and outline problems for each type of machine learning.
CO2: Design a Decision tree and Radom forest for an application.
CO3:Implement Probabilistic Discriminative and Generative algorithms for an application and analyze the results.
CO4:Use a tool to implement typical Clustering algorithms for different types of applications.
CO5:Design and implement an HMM for a Sequence Model type of application and identify applications suitable for different types of Machine Learning with suitable justification.
COURSE OUTCOMES:
At the end of the course, learners will be able
CO1: Explain the working principle of electrical machines .
CO2: Analyze the output characterizes of electrical machines .
CO3: Choose the appropriate electrical machines for various applications .
CO4: Explain the types and operating principles of measuring instruments .
CO5: Explain the basic power system structure and protection schemes.
COURSE OUTCOMES:
CO1:The student would be able to design and conduct experiments to demonstrate the trade- offs involved in the design of basic and advanced coding and modulation techniques and the advanced baseband signal conditioning methods.
CO2:The student would be capable of applying communication engineering principles and design tools and will be well practiced in design skills.
CO3: The student would be able to comprehensively record and report the measured data, write reports, communicate research ideas and do oral presentations effectively.
CO4:The student would be capable of analyzing and interpreting the experimental measurement data and produce meaningful conclusions.
COURSE OUTCOMES:
Upon the completion of course, students will be able to:
CO1:demonstrate an understanding of the differences and challenges involved in the design of optical systems and networks.
CO2:apply his knowledge for designing a fiber optic system addressing the channel impairments.
CO3:Familiar with the architectures and the protocol stack in use.in optical networks and would be able to identify a suitable backbone infrastructure for our present and future communication needs.
CO4:understand how connections are managed in the network and the pros and cons of the different approaches.
CO5: appreciate the need for network survivability and the methodologies used.
COURSE OUTCOMES:
At the end of the course, learners will be able:
Formulate and analyze problem / create a new product/ process.
Analyze the results and provide solution for the identified problem, prepare project report and make presentation.