Student Online Certificate Verification

Headlines 2025-04-26 | : B.Tech - Mech | : Dept of Mechanical Engineering organized "SIX DAYS ONLINE FDP ON RECENT ADVANCEMENTS IN MECHANICAL ENGINEERING & ITS APPLICATIONS (RAMEA-2025)" from 21st April to 26th April 2025    2025-04-26 | : B.Tech - Mech | : FDP Day 6 Session 1 Resource Person Details: Dr Saravana Perumaal Associate Professor Department of Mechanical Engineering, NITTTR, Chennai, Tamil Nadu Presentation Topic: Robotics for Factory Automation Session 2 Resource Person Details Dr Pothukuchi Harish Assistant Professor Department of Mechanical Engineering IIT Jammu, Jammu Kashmir Presentation Topic : Bubble growth and its departure in nucleate flow boiling regime    2025-04-25 | : B.Tech - Mech | : FDP Day 5 Session 2 Resource Person Details: Dr. K. Lingadurai Professor Mechanical Engineering &Dean Anna University Regional Campus Madurai, Tamil Nadu Presentation Topic: 3D Surface Roughness Measurement    2025-04-25 | : MCA | : A Subhadra Devi, Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "Generative AI and Prompt Engineering" by ExcelR.    2025-04-25 | : MCA | : Gowri Shanmukhi K, Assistant Professor, Department of Master of Computer Applications have Participated in Faculty Development Program on "GENERATIVE AI AND PROMPT ENGINEERING" by ExcelR.    2025-04-25 | : MCA | : ANL Kumar, Head, Department of Master of Computer Applications have Participated in Faculty Development Program on "Generative AI and Prompt Engineering" by ExcelR.    2025-04-25 | : MCA | : V Madhulatha , Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "Generative AI and Prompt Engineering" by ExcelR.    2025-04-25 | : MCA | : Lakshmana Rao Kawluri, Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "GENERATIVE AI AND PROMPT ENGINEERING" by ExcelR.    2025-04-25 | : MCA | : Velidi Srinu Balaji, Programmer, Department of Master of Computer Applications have Participated Faculty Development Program on "GENERATIVE AI AND PROMPT ENGINEERING" by ExcelR.    2025-04-25 | : MCA | : Pavani Pippirisetti, Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "GENERATIVE AI AND PROMPT ENGINEERING" by ExcelR.    2025-04-25 | : MCA | : Ch Suresh, Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "GENERATIVE AI AND PROMPT ENGINEERING" by ExcelR    2025-04-25 | : MCA | : A S B Rajesh, Assistant Professor, Department of Master of Computer Applications have Participated Faculty Development Program on "Generative AI and Prompt Engineering" by ExcelR.    2025-04-24 | : B.Tech - Mech | : FDP Day 4 Session 1 Resource Person Details Dr S. Vinodh Professor, Department of Production Engineering, NIT Tiruchirappalli, Tamil Nadu Presentation Topic : Smart and Sustainable Manufacturing Session 2 Resource Person Details: Dr P Ravi Kumar Associate Professor, Department of Mechanical Engineering, NIT Warangal, Telangana Presentation Topic: Thermal management of lithium-ion battery    2025-04-23 | : B.Tech - Mech | : FDP Day 3 Session 2 Resource Person Details: Dr. N. Mohan Professor, Department of Industrial Engineering and Management Dr. Ambedkar Institute of Technology, Karnataka Presentation Topic: Recent Advancement in Tribology on composite material    2025-04-22 | : B.Tech - Mech | : FDP Day 2 Session 1 Resource Person Details: Dr. Nagentrau Muniandy Senior Lecturer, School of Engineering, Taylor’s University, Malaysia, Presentation Topic : Energy management Session 2 Resource Person Details: Dr Palaniappan Professor, Department of Mechanical Engineering, Thigarajar College of Engineering, Madurai, Tamil Nadu, Presentation Topic: Additive manufacturing in Circular Economy    2025-04-21 | : B.Tech - Mech | : SIX-DAYS ONLINE FACULTY DEVELOPMENT PROGRAMME (FDP) Recent Advancements in Mechanical Engineering & its Applications (RAMEA-2025) DAY 1 SESSION 1, Resource Person Details Dr. K. P. Karunakaran, Professor, Department of Mechanical, IIT Bombay, Maharashtra, Presentation Topic Drone Technology    2025-04-21 | : B.Tech - Mech | : SIX-DAYS ONLINE FACULTY DEVELOPMENT PROGRAMME (FDP) Recent Advancements in Mechanical Engineering & its Applications (RAMEA-2025) DAY 1 SESSION 2 Resource Person Details Dr. B.S.V.P. Patnaik Professor, Department of Applied Mechanics & Biomedical Engineering, IIT Madras, Tamil Nadu, Presentation topic Modeling and simulations in Biomedical device designs    2025-04-20 | : NCC | : Narsapur Fire Station Hosts Fire Safety Training for NCC Cadets    2025-04-19 | : NSS | : Awareness on Electronic Waste Management – Grand Success of Swachh Andhra, Swarna Andhra Program conducted by NSS unit I & II.    2025-04-17 | : B.Tech - AIML | : We are pleased to announce the successful placement of the following students from the Department of Artificial Intelligence and Machine Learning at Collabera: T. Naveen Babu – 22A25A6105,P. Sushmitha Devi – 21A21A6145,P.S.S. Ritheesh Varma – 21A21A6149,Bhanu Teja K – 21EM1A6129,A Bhagya Sri – 21EM1A6102. All the above students have secured positions at Collabera with a package of 2.4 LPA. We extend our heartfelt congratulations and best wishes for their future endeavors!    
CSE-DS Department

The Department of Computer Science and Engineering (CSE) with a specialization in Data Science focuses on the study and application of computer science principles, algorithms, and techniques to analyze and extract insights from large volumes of data. It combines computer science, statistics, and domain knowledge to address complex data-driven problems and make data-informed decisions.

Here are some key aspects of a typical CSE Data Science department:

  • Academic Programs: The department offers undergraduate and graduate programs in Computer Science with a specialization or track in Data Science. These programs usually cover a broad range of topics, including programming, data structures, algorithms, statistics, machine learning, data visualization, big data analytics, database systems, and data mining.

  • Curriculum: The curriculum is designed to provide students with a strong foundation in computer science fundamentals and data science techniques. Students learn programming languages such as Python, R, and SQL, as well as frameworks and tools used in data science, such as TensorFlow, PyTorch, and Apache Hadoop. The curriculum also includes courses on statistical analysis, data preprocessing, machine learning algorithms, data visualization, and ethical considerations in data science.

  • Research: The department actively engages in research activities related to data science. Faculty members and researchers explore various areas such as machine learning, deep learning, natural language processing, computer vision, pattern recognition, data privacy, and data ethics. They often collaborate with industry partners and other academic institutions to tackle real-world problems and advance the field of data science.

  • Laboratories and Resources: CSE Data Science departments typically have well-equipped laboratories and resources to support research and practical training. These may include high-performance computing clusters, cloud computing infrastructure, data visualization tools, and access to large datasets for analysis.

  • Industry Collaboration and Internships: Many CSE Data Science departments establish partnerships with industry organizations to facilitate internships, projects, and guest lectures. Such collaborations provide students with practical exposure, real-world datasets, and opportunities to work on cutting-edge projects in data science.

  • Career Opportunities: Graduates from CSE Data Science programs have a wide range of career opportunities. They can work as data scientists, data analysts, machine learning engineers, data engineers, research scientists, or consultants in industries such as technology, finance, healthcare, e-commerce, and more. Additionally, some graduates may pursue further research or academic careers.

It's important to note that the specific details of a CSE Data Science department may vary among institutions. It's recommended to refer to the department's official website or reach out to them directly for comprehensive and up-to-date information about their programs and offerings.