A comprehensive list of courses I've completed during my academic journey at Rutgers University. Filter by major or course level to explore the different areas of my education.
Covered fundamental ML algorithms, model evaluation, and practical implementation of machine learning systems.
Explored robotic systems design, motion planning, sensor integration, and autonomous robot programming.
Explored core AI concepts including search algorithms, knowledge representation, and intelligent agents.
Comprehensive study of fundamental data structures, their implementations, and algorithmic analysis.
Study of computer organization, processor architecture, memory hierarchy, and performance optimization.
Advanced study of algorithm design strategies, complexity analysis, and optimization techniques.
Foundation in discrete mathematics concepts essential for computer science theory.
Advanced discrete mathematics with applications to computability, cryptography, and formal languages.
Advanced calculus concepts with applications to three-dimensional space and mathematical modeling.
Further study of advanced calculus with applications to differential equations and vector fields.
Applied time series analysis for business forecasting and trend identification.
Study of information systems for business operations, decision making, and strategic advantage.
Hands-on implementation of deep learning architectures for various AI applications.
Exploration of quantum computing principles, programming models, and potential applications.
Comprehensive study of information security principles, practices, and implementation.
Applied database management concepts with focus on business data organization and retrieval.
Application of statistical methods for business decision making and data-driven insights.
Advanced study of robots that can interact naturally with humans in social environments.
Cutting-edge techniques for generating and manipulating visual content using generative AI models.