Department of Electronics and Communication Engineering (ECE)
Delivering strong engineering foundations and industry-ready computing professionals for the global technology landscape.
Department of Electronics and Communication Engineering (ECE)
Electronics and Communication Engineering (ECE) is a constantly evolving discipline for Mobile phones, Computer chips, Fiber optics to ground-cockpit communications in aeroplanes and so on. This discipline covers the entire gamut of the avenues open for ECE engineers.
At DCE, our experienced professors contribute their best with a single minded focus on learning facilitation to create competent engineers, who are able to strive, survive and succeed in the IT and electronics industries. Adequate emphasis is given to practical application of theoretical concepts so that students are geared to face the challenges of the future.
Programmes offered
The era of cognitive thinking instigates in the Department of Artificial Intelligence and Data Science. The programme kicked off from the academic year 2020 – 21 with a vision to build the intellectual capital of the society through research-based education, creating new knowledge and innovations. The Department is accounted for creating the best talents with core specialization in Artificial Intelligence and Data Science. The faculty team is brought together with a well trained, certified and qualified crew of people in the domain of Data Mining and Big Data Analytics, Machine Learning and Data Analytics, Natural Language Processing, Image Processing and Computer Vision. The Department is equipped with adequate facilities with classrooms, laboratories and seminar halls. The Laboratories are with high powered system configuration which are essential for heavy demanding tasks, network with seamless internet connectivity and Wi-Fi facility with the speed of 100 Mbps.
Salient Features of the Department:
- Industry Ready Curriculum
- Project Based Learning
- Personalized Training
- Parental Care and Mentoring
- Well-Equipped Laboratories
- Certified and Qualified Faculty Team
- Opportunities for Co-Curricular and Extra-Curricular Activities
Core Areas of Artificial Intelligence and Data Science:
- Deep Learning
- Machine Learning
- Natural Language Processing
- Data Analysis
- Reinforcement Learning
- Big Data Analytics
- Business Intelligence
Vision:
To provide high-quality education on a global scale, encourage collaborative research, and produce engineers in the fields of Artificial Intelligence and Data Science who are ready to meet the global challenges of corporate world
Mission:
M1: To utilize cutting-edge Technology and creative elements to excel in the Teaching-Learning process and collaborative research
M2: To inculcate an interdisciplinary and coding skill set required to fulfill the needs of the society
M3: To encourage students to become leaders and entrepreneurs who can meet the demands of the community and industry while maintaining high moral standards
This programme is designed to equip students with strong fundamentals, problem-solving skills, industry readiness, and lifelong learning capability
Fundamentals:
To provide students with a solid foundation in Mathematics, Science and fundamentals of engineering, enabling them to apply, to find solutions for engineering problems and use this knowledge to acquire higher education
Core Competence:
To train the students in Electronics and Communication technologies so that they apply their knowledge and training to compare, and to analyze various engineering industrial problems to find solutions
Breadth:
To provide relevant training and experience to bridge the gap between theory and practice which enables them to find solutions for the real time problems in industry, and to design products
Professionalism:
To inculcate professional and effective communication skills, leadership qualities and team spirit in the students to make them multi-faceted personalities and develop their ability to relate engineering issues to broader social context
Lifelong Learning / Ethics:
To demonstrate and practise ethical and professional responsibilities in the industry and society in the large, through commitment and lifelong learning needed for successful professional career
Programme Outcomes (POs)
On completion of B.E. (ECE) degree, the graduates will be able
- To demonstrate and apply knowledge in Mathematics, Science and Engineering fundamentals in Electronics and Communication Engineering field
- To design a component, a system or a process to meet the specific needs within the realistic constraints such as economics, environment, ethics, health, safety and manufacturability
- To demonstrate the competency in using software tools for computation, simulation and testing of electronics and communication engineering circuits
- To identify, formulate and solve electronic and communication engineering problems
- To demonstrate the ability to visualize and work on laboratory and multidisciplinary tasks
- To function as a member or a leader in multidisciplinary activities
- To communicate in verbal and written form with fellow engineers with society at large
- To understand the impact of Electronics and Communication Engineering in the society and demonstrate awareness of contemporary issues and commitment to give solutions exhibiting social responsibility
- To demonstrate professional and ethical responsibilities
- To exhibit confidence in self-learning and ability for lifelong learning
- To participate and succeed in competitive exams
Programme Specific Outcomes (PSOs)
- To analyze, design and develop solutions by applying foundational concepts of electronics and communication engineering
- To apply design principles and best practices for developing quality products for scientific and business applications
- To adapt to emerging information and communication technologies (ICT) to innovate ideas and solutions to existing/novel problems
The curriculum is designed to bridge the gap between theory and industry practice.
Students are trained in:
Programming and Data Structures
Database Management Systems
Networking
Operating Systems
Software Engineering
Emerging Technologies
(Anna University regulation-based curriculum.)
The department is equipped with modern laboratories to provide hands-on experience:
- Electronic Devices Laboratory
- Electronic Circuits and Simulation Laboratory
- Digital Electronics Laboratory
- Microprocessor and Microcontroller Laboratory
- Digital Signal Processing Laboratory
- Network Laboratory
- Communication System Laboratory
- Linear Integrated Circuits Laboratory
- Microprocessor and Applications Laboratory
- Electronics System Design Laboratory
- VLSI Laboratory
- Microwave and Optical Laboratory
These labs strengthen practical knowledge and technical confidence.
B.E. (Electronics and Communication Engineering)
| S. No. | Name | Department | Designation |
|---|---|---|---|
| 1 | Dr. Devasena A | ECE | Professor & HoD |
| 2 | Dr. Narasimha Prasad S | ECE | Assistant Professor |
| 3 | Ms. Esther Gandhimathi S | ECE | Associate Professor |
| 4 | Mr. Kumar A | ECE | Assistant Professor |
| 5 | Ms. Pushpa Priya C | ECE | Assistant Professor |
| 6 | Ms. Kiruthika L | ECE | Assistant Professor |
| 7 | Ms. Monisha A M | ECE | Assistant Professor |
| 8 | Ms. Mahalakshmi A | ECE | Assistant Professor |
| 9 | Ms. Pavithra M | ECE | Assistant Professor |
| 10 | Ms. Bhuvanika G | ECE | Assistant Professor |
The department encourages innovation and research in computing domains.
Students are motivated to participate in:
Research projects
Industry collaborations
Technical workshops
Skill development programs
The Placement Cell at DCE works continuously to align student training with evolving industry requirements. Through structured preparation, technical training, and industry interaction, students are guided towards successful career outcomes.
Earn While You Learn Model
DCE has introduced an industry-oriented internship model that enables students to gain real-world experience even before graduation.
Students benefit from:
Paid internships with stipends ranging from ₹10,000 – ₹25,000
Practical exposure to industry projects
Structured training and mentoring support
Smooth transition from internship to full-time employment
This model strengthens both technical competence and workplace readiness.
Career Opportunities
| Software Developer | System Engineer |
| Data Analyst | Full Stack Developer |
| Cloud Engineer | Cyber Security Analyst |
The programme prepares students for opportunities in both core industries and emerging technology domains, equipping them with the skills required to adapt and grow in dynamic professional environments.