System-level programming with an emphasis on building efficient, secure, and robust applications. Students gain hands-on experience with C, processes, memory, threads, IPC, synchronization, networking basics, and virtualization—tying concepts to practical debugging and performance analysis.

Deep dive into data structures and algorithmic analysis to develop strong problem-solving instincts. Students design, implement, and benchmark structures across varied workloads and constraints.

Core CS ideas and mathematical maturity for downstream courses. From algorithms and complexity to automata and compilers, students build a rigorous mental model for computing.

Python-first introduction to data analysis with an emphasis on clear thinking and reproducibility. We practice loading, transforming, visualizing, and communicating insights from real-world datasets.