Department of Computer Science & Engineering

About the Department

The Department of Computer Science and Engineering is committed to providing high-quality education in computing, software engineering, artificial intelligence, data science, cloud computing, cybersecurity, and emerging technologies. The department nurtures innovation, research, entrepreneurship, and industry readiness among students.

Courses Offered

Sl. No.	Degree	Intake	Year of Establishment
1	B.E. Computer Science & Engineering	180	2004
2	M.E. Computer Science & Engineering	18	2011

Program Outcomes (POs)

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, or processes considering public health, safety, culture, society, cost, and the environment.

Conduct investigations using experiments, modelling, interpretation of data, and valid conclusions.

Apply modern engineering and IT tools for modelling and problem solving while understanding their limitations.

Assess societal, legal, cultural, environmental, and sustainability impacts of engineering solutions.

Apply ethical principles, human values, professional responsibilities, 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 engineering management and financial principles in project planning and teamwork.

Engage in lifelong learning, adapt to emerging technologies, and develop critical thinking skills.

Program Specific Outcomes (PSOs)

PSO 1

Design and develop efficient and reliable computing solutions for real-time applications.

PSO 2

Utilize modern tools and platforms to develop innovative software systems for industrial and societal needs.

PSO 3

Keep pace with advances in Computer Engineering, demonstrate research aptitude, collaborate effectively in multidisciplinary teams, and uphold professional ethics.

600+

Students

25+

Faculty Members

95%

Placement Rate

150+

Publications

Faculty Team

Dr. Manju C. Thayammal

Professor & Head

Department of Computer Science & Engineering

Ponjesly College of Engineering

View Complete Faculty Directory

Computer Laboratories

The Department of Computer Science & Engineering provides state-of-the-art laboratories equipped with modern computing facilities to enhance practical learning and research.

Java Programming Lab

Hands-on programming using Java, OOP concepts, GUI development, and application development.

English Communication Lab

Enhances communication, presentation, listening, and professional language skills.

Python for Data Science Lab

Practical training in Python programming, NumPy, Pandas, visualization, and data analytics.

Database Management Systems Lab

Database design, SQL, PL/SQL, MySQL, Oracle, and database application development.

Artificial Intelligence & Machine Learning Lab

Experiments in machine learning algorithms, AI models, TensorFlow, and intelligent systems.

Full Stack Development Lab

Web application development using HTML, CSS, JavaScript, Bootstrap, Node.js, React, and databases.

Deep Learning Lab

Practical implementation of neural networks, CNNs, RNNs, computer vision, and deep learning frameworks.

Mobile App Development Lab

Android application development using Android Studio, Kotlin, Java, and Firebase.

Engineering Entrepreneurship Development Lab

Supports innovation, startup ideas, business model development, and entrepreneurial skills.

Ethical Hacking & Penetration Testing Lab

Hands-on cybersecurity, vulnerability assessment, penetration testing, and network security.

Project Work Laboratory

Dedicated laboratory for final-year projects, innovation, software development, and research activities.

Essentials of Computing Laboratory

Introduces fundamental computer concepts, operating systems, office automation tools, internet applications, and basic computing skills.

Computer Programming Laboratory

Provides practical experience in C programming, problem-solving, algorithms, flowcharts, and program development techniques.

Object Oriented Programming Laboratory

Focuses on object-oriented programming concepts using C++ and Java, including classes, inheritance, polymorphism, and exception handling.

Research Areas

The Department of Computer Science & Engineering actively promotes research and innovation in emerging areas of computing and information technology.

Artificial Intelligence & Machine Learning

Machine Learning, Deep Learning, Neural Networks, Computer Vision, and Intelligent Systems.

Data Science & Big Data Analytics

Data Mining, Predictive Analytics, Business Intelligence, and Big Data Technologies.

Cyber Security

Network Security, Ethical Hacking, Digital Forensics, and Information Security.

Cloud Computing

Cloud Infrastructure, Virtualization, Edge Computing, and Distributed Systems.

Internet of Things (IoT)

Smart Devices, Sensor Networks, IoT Applications, and Embedded Systems.

Blockchain Technology

Cryptography, Smart Contracts, Decentralized Applications, and Secure Transactions.

Software Engineering

Software Architecture, Testing, Quality Assurance, and Agile Development.

Mobile & Web Application Development

Android, iOS, Full Stack Development, Cross-Platform Applications, and Web Technologies.

High Performance Computing

Parallel Computing, GPU Computing, Scientific Computing, and Performance Optimization.

Placement Highlights

The Department of Computer Science & Engineering has an excellent placement record, with students securing positions in leading multinational companies, software firms, and core IT industries through campus recruitment drives.

95%

Placement Rate

250+

Students Placed

40+

Recruiting Companies

₹12 LPA

Highest Package

Major Recruiters

TCS

Infosys

Wipro

Cognizant

Accenture

HCL Technologies

Capgemini

Zoho