Vision

Provide quality education and training to equip students with the skills and knowledge required to excel in Computer Science, AI and ML related careers

Mission

M1: To Encourage faculty and students to engage in continuous learning to keep pace with the rapidly evolving landscape of Computer Science, AI and ML.

M2: To Promote the development and use of Computer Science, AI and ML technologies that adhere to ethical principles, ensuring fairness, transparency, accountability, and privacy in AI systems.

M3: To Develop Computer Science, AI and ML technologies and tools that can be applied to solve real-world problems in various domains, including healthcare, finance, and transportation.

M4: To sensitize the Students regarding Social, Moral and Professional ethics.

M5: To foster collaboration across various disciplines, breaking down silos to create a holistic approach to solving complex problems with Computer Science, AI and ML.

• PEO1: To have successful careers in Computer Science, AI and ML-related fields by becoming an expert in the various domain
• PEO2:To exhibit a deep understanding of ethical considerations in Computer Science, AI and ML, ensuring that they develop and apply these technologies in a responsible and socially conscious manner.
• PEO3: To engage in lifelong learning and professional development, staying up-to-date with the latest advancements in Computer Science, AI and ML and continuously enhancing their skills.
• PEO4: To actively contribute to society by leveraging Computer Science, AI and ML for the benefit of humanity, whether through improving healthcare outcomes, addressing environmental challenges, or enhancing accessibility.
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• PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• PO4:Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5:Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• PO7: Environment and sustainability: Understand theimpact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Mathematics for Computer Science

• • Python Programming for Data Science
  • Data Analytics with R
  • Data Analytics with Excel
  • Ethics and Public Policy for AI
  • Project Management with Git
  • Artificial Intelligence
  • Optimization for Machine eLearning
  • Scala
  • MongoDB
  • MERN
  • Software Engineering & Project Management
  • Theory of Computation
  • Data Visualization Lab
  • Computer Vision
  • Information Retrieval
  • Nonlinear Control Techniques
  • Image and Video Processing
  • Machine Learning -I
  • Human-Centered AI
  • Cloud Computing
  • Blockchain Technology
  • Time Series Analysis
  • Introduction to AI
  • Explainable AI
  • PyTorch
  • Generative AI
  • Natural Language Processing
  • Machine Learning -II
  • AI of Things
  • High Performance Computing
  • Data Engineering & MLOps
  • Big Data Analytics
  • Introduction to Machine Learning