Head of Department
Prof. C. Felsy
Head of Department
Department of Artificial Intelligence & Data Science
Empowering Future AI Innovators Through Data Science, Machine Learning, Deep Learning and Intelligent Systems
Explore DepartmentThe Department of Artificial Intelligence and Data Science offers quality technical education and research opportunities in Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics, Cloud Computing and Intelligent Systems. The department prepares students to become industry-ready professionals and innovators.
To become a centre of excellence in Artificial Intelligence, Data Science, innovation, research and entrepreneurship.
| Programme | Intake | Year |
|---|---|---|
| B.Tech Artificial Intelligence & Data Science | 180 | 2022 |
Student Intake
Faculty Members
Laboratories
Research Papers
Apply mathematics, science, and engineering fundamentals to solve complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems using sustainability principles.
Design systems, components, and processes considering health, safety, societal, cultural, and environmental factors.
Conduct investigations using experiments, modelling, data interpretation, and analysis to derive valid conclusions.
Apply appropriate modern engineering and IT tools for modelling, simulation, and problem-solving while understanding their limitations.
Assess societal, legal, health, safety, and environmental impacts of engineering solutions.
Apply ethical principles, professional responsibilities, human values, diversity, and legal compliance.
Function effectively as an individual and as a member or leader in multidisciplinary teams.
Communicate effectively through reports, presentations, technical documentation, and interactions with diverse audiences.
Apply management principles and economic decision-making skills in projects and teamwork.
Recognize the need for continuous learning, adapt to emerging technologies, and develop critical thinking skills.
Design, develop, and deploy intelligent systems for solving real-world problems using Artificial Intelligence and Data Science techniques.
Utilize modern software tools, frameworks, and technologies to create innovative solutions in Artificial Intelligence and Data Science.
Demonstrate research aptitude, ethical practices, and collaborative skills in multidisciplinary environments.
Head of Department
Department of Artificial Intelligence & Data Science
The Department of Artificial Intelligence & Data Science provides state-of-the-art laboratories equipped with modern computing resources to support practical learning, innovation, and research.
Hands-on training in C programming, problem-solving techniques, algorithms, and software development fundamentals.
Fundamental computing concepts, operating systems, office automation tools, and internet applications.
Python programming, NumPy, Pandas, data visualization, and data analytics applications.
Implementation of linear and non-linear data structures, searching, sorting, and algorithm analysis.
Object-oriented programming concepts, GUI development, and enterprise application development using Java.
Data preprocessing, visualization, statistical analysis, and insights generation from datasets.
Process management, memory management, scheduling algorithms, and Linux operating system concepts.
Database design, SQL, PL/SQL, normalization, and database application development.
Implementation of supervised and unsupervised learning algorithms using modern ML frameworks.
Network configuration, routing protocols, network simulation, and communication technologies.
Sensor integration, embedded systems, smart devices, and IoT application development.
Neural networks, CNNs, RNNs, computer vision, and advanced deep learning frameworks.
Digital image enhancement, segmentation, feature extraction, and computer vision applications.
User interface design, usability testing, prototyping, and human-centered software development.
Cybersecurity, vulnerability assessment, penetration testing, and information security practices.
Dedicated facility for innovation, product development, research projects, and final-year project implementation.
The Department of Artificial Intelligence & Data Science actively promotes research and innovation in emerging areas of Artificial Intelligence, Data Science, Intelligent Computing, and next-generation technologies.
Intelligent systems, knowledge representation, reasoning, and decision-making.
Supervised, unsupervised, reinforcement learning, and predictive analytics.
Neural networks, CNNs, RNNs, transformers, and advanced AI architectures.
Data mining, statistical analysis, business intelligence, and decision support systems.
Large-scale data processing, Hadoop ecosystem, Spark, and distributed computing.
Image processing, object detection, facial recognition, and visual intelligence.
Text analytics, sentiment analysis, speech processing, and language understanding.
Large language models, content generation, prompt engineering, and AI assistants.
Smart devices, sensor networks, edge computing, and intelligent automation.
Cloud platforms, virtualization, scalable AI infrastructure, and cloud services.
Information security, ethical hacking, digital forensics, and cyber defense.
Ethical AI, fairness, transparency, trustworthiness, and responsible AI systems.
Placement Rate
Recruiters
Highest Package
Students Placed
Our alumni contribute significantly to mentoring, placements, entrepreneurship and industry interaction.
Department of Artificial Intelligence & Data Science
Ponjesly College of Engineering
Nagercoil, Tamil Nadu
Email : ads@ponjesly.com
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