Probability and Statistics

This foundational course, Probability and Statistics (BE03000251), equips IT engineering students at GTU with essential mathematical tools for data analysis and decision-making. Students will delve into the core principles of probability theory, understanding random events, variables, and various probability distributions crucial for modeling real-world phenomena. The curriculum emphasizes statistical inference, covering sampling techniques, estimation, and hypothesis testing – skills vital for drawing meaningful conclusions from data. Furthermore, it introduces correlation and regression analysis, enabling students to identify relationships between variables. This subject is paramount for careers in data science, machine learning, artificial intelligence, and network performance analysis, providing the analytical backbone required to interpret complex data patterns and build robust IT systems. It fosters critical thinking and problem-solving abilities using quantitative methods.