Computer Science (CSC)

This course emphasizes the study of large-scale software systems through a software development project, serving as a central component. The focus is on understanding the design, construction, maintenance, and management of extensive software projects. The course begins with a detailed introduction exploring defining characteristics and challenges associated with large-scale systems, including distributed systems, concurrency, and parallelism. It then covers fundamental aspects like software development life cycle, DevOps principles, requirements engineering, and software architecture. Students will develop proficiency in construction technologies, front-end and back-end development, cloud computing, and specialized software testing strategies for large-scale systems. The course concludes with a thorough examination of software engineering operations and economic considerations, providing a comprehensive understanding of the multifaceted field.

This course provides an overview of the underlying building blocks of big data stack architecture and infrastructure. It covers the foundational concepts and techniques of data acquisition, data storage, high-performance computing, and parallel data analysis. It provides hands-on experiments using advanced computing platforms and modern software tools to perform parallel data-intensive computing.

This course equips students with the essential skills and knowledge required to actively participate as valuable team members in the field of data science, specifically focusing on big data, machine learning, and data analytics projects. This course is tailored for individuals seeking to gain a comprehensive understanding of data science within the context of a practicing Data Scientists and Machine Learning Engineers.

In this course students will have an opportunity to build a fully functioning product applying the principles and practices learned in their computer science courses to a real-world problem. They will be responsible for analyzing, designing and developing a complex distributed system that is secure, performant, scalable, and reliable, and leverages machine learning, and navigates large volumes of data.