Computer Science I & II
An introduction to fundamental programming concepts, including data structures, algorithms, and object-oriented programming.
Computational Organization-Architecture
Explores the design and functionality of computer hardware, focusing on the relationship between hardware and software.
Software Development
Focuses on software engineering principles, including development methodologies, version control, and collaborative coding.
Programming Languages
Analyzes programming paradigms, syntax, semantics, and features of various programming languages.
Algorithm Design and Analysis
Examines efficient algorithm development, performance analysis, and computational problem-solving techniques.
Computer Networking
Covers the fundamentals of data communication, network protocols, and the architecture of computer networks.
Applied Data Analysis
Teaches statistical techniques, data visualization, and programming tools for analyzing real-world datasets.
Deep Learning
Introduces neural networks, training algorithms, and applications of deep learning in AI and machine learning.
Artificial Intelligence
Explores foundational AI topics such as search algorithms, logic, planning, and decision-making systems.
Computational Biology
Combines computer science and biology to analyze biological data, including DNA sequencing and protein interactions.
Models of Computing
Studies computational theory, automata, Turing machines, and the limits of computation.
Database Systems
Explores database design, query languages, and techniques for managing and retrieving structured data.