| Lab-1 Programming Lab 1 | |
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Description ⮞The Programming Lab 1 is designed to provide students with hands-on experience in fundamental and advanced programming concepts essential for Artificial Intelligence and Machine Learning (AIML). The lab is utilized for conducting practical sessions in Python Programming, Data Structures, Object-Oriented Programming, Machine Learning Algorithms, and Domain-Specific Mini Projects. Software and Tools Installed: • Processor: 13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz • Operating System: Windows • Programming Languages: Python, C++, Java • Development Environments: Jupyter Notebook, PyCharm, VS Code • Libraries & Frameworks: NumPy, Pandas, Matplotlib, TensorFlow, PyTorch, Scikit-learn, OpenCV • Compiler & Packages: GCC, OpenJDK, Anaconda Courses Conducted: ⮞ Python Programming, Data Structures & Algorithms, Object-Oriented Programming (OOP) |
| Lab-2 Database Engineering Lab | |
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Description ⮞The Database Engineering Lab focuses on database design, implementation, and optimization techniques. Students gain hands-on experience in SQL queries, indexing, normalization, and transaction management. Advanced topics include NoSQL databases and distributed database systems. Software Tools Used: • Processor: 13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz • MySQL • PostgreSQL • MongoDB • SQLite • Oracle Database • Microsoft SQL Server Courses Conducted: • Database Management Systems • Advanced Database Systems • Big Data Analytics |
| Lab-3 Artificial Intelligence Lab | |
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Description ⮞The Artificial Intelligence Lab provides an environment for implementing AI techniques, including search algorithms, knowledge representation, reasoning, and intelligent agents. Students work on deep learning, reinforcement learning, and natural language processing applications. Software Tools Used: • Processor: 13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz • Python (with libraries like TensorFlow, Keras, PyTorch, OpenCV, and NLTK) • MATLAB • Jupyter Notebook • Prolog Courses Conducted: • Artificial Intelligence • Deep Learning • Natural Language Processing |
| Lab-4 Machine Learning Lab | |
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Description ⮞The Machine Learning Lab is designed to explore supervised, unsupervised, and reinforcement learning techniques. Students experiment with regression, classification, clustering, and neural networks to solve real-world problems. Software Tools Used: • Processor: 13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz • Python (with Scikit-learn, TensorFlow, Keras, PyTorch, Matplotlib, Pandas, NumPy) • R Programming • Weka • MATLAB Courses Conducted: • Machine Learning • Data Science and Analytics • Predictive Modeling |
| Lab-5 Machine Learning Lab | |
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Description ⮞Similar to Lab 4, this lab focuses on practical implementations of machine learning algorithms. The lab supports projects on computer vision, time series analysis, and deep learning applications. Software Tools Used: • Processor: 13th Gen Intel(R) Core(TM) i7-13700 2.10 GHz • Python (with Scikit-learn, TensorFlow, Keras, PyTorch) • Jupyter Notebook • Google Colab • R Programming Courses Conducted: • Applied Machine Learning • Reinforcement Learning • Computer Vision |