Department
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CSE (Artificial intelligence and Machine Learning)
About the Department : Intake of the Department = 60
Year Of Start =2021
The CSE (AI & ML) program is designed to equip students with cutting-edge technical skills tailored for the 21st century, aligning with the growing global AI market. As per the Precedence Research Report 2023, the U.S. artificial intelligence (AI) market size accounted for USD 103.7 billion in 2022 and is estimated to reach around USD 594 billion by 2032, growing at a CAGR of 19.1% from 2023 to 2032.
AI and ML job opportunities are expected to grow significantly in the next 5 years. With the increasing demand for advanced technologies in various industries, companies are investing heavily in AI and ML. This includes fields such as healthcare, finance, retail, and transportation. Some potential job opportunities to explore in this field may include data scientist, machine learning engineer, AI research scientist, and natural language processing specialist.
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.
- 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
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