Admissions Open

Contact Us:- Dr. Bomma Rama Krishna: 7989662002, Dr. V. Swaminadham: 9346610099

Admissions Open

Contact Us:- Dr. Bomma Rama Krishna: 7989662002, Dr. V. Swaminadham: 9346610099

Student Online Certificate Verification

Headlines 03-06-2024New Courses Offered: BCA (3 Years), BBA (3 Years), BMS (3 Years). Other UG Courses: B.Tech: CSE, IT, AIML, AI&DS, CSE (Data Science), CSE (Cyber Security), CSE (Business Systems), Civil, Mechanical, ECE, EEE, Robotics. PG Courses: MCA (2 Years), MBA (2 Years), M.Tech (2 Years). Admissions Open Now! Contact Us: BCA / MCA: +91 9440456749, +91 7207530454. BBA / BMS / MBA: +91 9505932238, +91 9290359369. B.Tech / M.Tech : +91 9346610099, +91 9346446880. Enroll Today and Secure Your Future! Visit Us: Hurry! Limited Seats Available.SWARNANDHRA College of Engineering and Technology, Location: Seetharampuram, Narsapur, Andhra Pradesh 534280
CSE-AI & DS Department

he Department of Computer Science and Engineering (CSE) offers various programs and specializations, including Artificial Intelligence and Data Science. CSE is a field of study that focuses on the principles, design, implementation, and application of computer systems and software.

In the context of Artificial Intelligence (AI) and Data Science, the department would typically cover topics such as:

  • Machine Learning: This field of AI deals with algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming.

  • Data Mining: Data mining involves extracting useful patterns and information from large datasets. It includes techniques such as clustering, classification, association rule mining, and outlier detection.

  • Natural Language Processing (NLP): NLP focuses on enabling computers to understand, interpret, and generate human language. It involves tasks such as sentiment analysis, language translation, speech recognition, and text generation.

  • Deep Learning: Deep learning is a subset of machine learning that uses neural networks with multiple layers to process complex patterns and representations. It has shown remarkable success in various applications such as image recognition, speech synthesis, and autonomous driving.

  • Big Data Analytics: This field deals with handling and analyzing large and complex datasets. It includes techniques for storage, processing, and analysis of data to extract valuable insights and support decision-making.

  • Data Visualization: Data visualization techniques are used to represent complex data in a visual form, enabling easier understanding and analysis. It involves creating charts, graphs, and interactive visualizations to present data effectively.

  • AI Ethics and Responsible AI: With the growing impact of AI on society, the ethical considerations and responsible development of AI systems are crucial topics. The department may cover the ethical implications of AI, fairness, transparency, and accountability in AI systems.