Java syllabus: Basics, OOP principles, control structures, 
data types, arrays, collections, exception handling, 
file I/O, multithreading, GUI development, JDBC,

Artificial Intelligence & Machine Learning Course Syllabus

Course Overview

This course introduces the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML). It covers theory, algorithms, and real-world applications, giving students the knowledge to understand and implement AI and ML solutions. Students will learn about supervised, unsupervised, and reinforcement learning, as well as AI frameworks and tools.

Course Objectives

By the end of the course, students will:

• Understand key AI and ML concepts.
• Be familiar with supervised, unsupervised, and reinforcement learning.
• Gain hands-on experience with ML algorithms.
• Learn to evaluate model performance and tune hyperparameters.
• Understand ethical considerations in AI/ML.

Artificial Intelligence & Machine Learning Course Syllabus

Course Overview

This course introduces the foundational concepts of Artificial Intelligence (AI) and Machine Learning (ML). It covers theory, algorithms, and real-world applications, giving students the knowledge to understand and implement AI and ML solutions. Students will learn about supervised, unsupervised, and reinforcement learning, as well as AI frameworks and tools.

Course Objectives

By the end of the course, students will:

• Understand key AI and ML concepts.
• Be familiar with supervised, unsupervised, and reinforcement learning.
• Gain hands-on experience with ML algorithms.
• Learn to evaluate model performance and tune hyperparameters.
• Understand ethical considerations in AI/ML.

Java syllabus: Basics, OOP principles, control structures, 
data types, arrays, collections, exception handling, 
file I/O, multithreading, GUI development, JDBC,