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Computer Science

Computer science is the study of how computers work and how they can be used to solve problems efficiently. It covers areas such as algorithms, data structures, programming languages, artificial intelligence, cybersecurity, and software engineering. At its core, computer science focuses on designing step-by-step instructions (algorithms) that allow machines to process data and perform tasks. Modern computer science also includes emerging fields like machine learning, cloud computing, and quantum computing, which power technologies such as smartphones, search engines, and autonomous vehicles. By combining logic, mathematics, and creativity, computer science drives innovation in nearly every industry today.


Efficient algorithms make programs faster and use less memory.

  • Searching (Binary Search)

  • Sorting (Merge Sort, Quick Sort)

Example:

  • Data Structures: Ways to organize data (arrays, linked lists, trees, graphs).

  • Algorithms: Step-by-step problem-solving procedures.

Data Structures & Algorithms



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Vision

sdfTo become a leading center of excellence in computer science education and research, fostering innovation, creativity, and technological advancement that positively impacts society and the global digital economy.


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Mission

To provide outstanding education and research training to our Undergraduate and Postgraduate students for their productive careers in Industries, Academia, Government and also to inculcate strong ethical values, innovative research capabilities along with the leadership abilities in the young minds so as to work with a commitment towards the progress of the nation. test

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Milestones

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News & Update

Invited Lecturer

Department of Computer Science – Invited Lecture Skill Development- "Data Science Using Python". "Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results."Resource Person: - Dr.N.Karpagavalli, Associate Professor, Department of Computer Science, Holy Cross College (Autonomous), Tiruchirappalli.




Invited Lecturer

Department of Computer Science Invited Lecture on Skill Development in Deep Learning Techniques (MATLAB). Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. Deep learning uses neural networks to learn useful representations of features directly from data. Neural networks combine multiple nonlinear processing layers, using simple elements operating in parallel and inspired by biological nervous systems. MATLAB it takes fewer lines of code and builds a deep learning model, without needing to be a specialist in the techniques. MATLAB provides the ideal environment for deep learning, through model training and deployment. Resource Person: Dr. S. L. JAYALAKSHMI, Assistant Professor, Pondicherry University, Pondicherry.


National Conference

Department of Computer Science - National Conference on Intellectual Property. Intellectual property is an evolving and exciting area. Intellectual property (IP) is essential for promoting innovation, creativity and economic growth. But it must be noted that the Intellectual Property Rights (IPR) laws are facing several challenges, said Dr.Rajesh Doss, Group-A Gazetted Officer, National Defence Academy, Ministry of Defence, Pune, Maharashtra. Dr Doss was delivering the Inaugural address at the National Conference on “IPR for innovative research methodologies” organized by the PG & Research Department of Computer Science, Theivanai Ammal College for Women.

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Student Achievements

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TACW Faculty

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S. MANIMEKALAI

Dean, HOD & Professor

Dean & Associate Professor, Department of Computer Science, Theivanai Ammal College for Women (Autonomous), Villupuram, 07-Sep-2020 to till date.

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K MANOHARI

HOD & Assistant Professor

B.Sc.(Computer Science), Theivannai Ammal College for Women, Madras University,2003.

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N.PRABHA

Assistant Professor

Bachelors of Computer Application (Madras University, Villupuram, 2005).MCA (Thiruvalluvar University, Villupuram, 2008, University 6th Rank). MPhil (Prist University, 2010). (Ph.D) (Thiruvalluvar University, Pursuing).

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M.KALAIVANI

Assistant Professor

Computer Teacher, IDEAL High School, Villianur,(June 2014 to April 2015).

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S.VIDHYAVATHI

Assistant Professor

B.SC., Computer Science(NLC, Jawahar Arts and Science College, Neyveli, Madras university(2005)

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E. RAJALAKSHMI

Assistant Professor

To work in a creative environment and effectively Contribute to the success of the organization.

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Sarang Shastry

Associate Professor

3rd Rank Holder in 2nd International Mathematics Olympiad in 2008.

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Lab Assistant

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Tanuj More

Associate Professor

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Yukti Mohan

Professor

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