Fall 2024 Applied Analytics PS5450 section 001

CLOUD COMPUTING

Call Number 12960
Day & Time
Location
W 8:10pm-10:00pm
420 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructor Mohsen Golalikhani
Type LECTURE
Method of Instruction In-Person
Course Description

Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.

This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al.  Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.

The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.

The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.

Web Site Vergil
Department Applied Analytics
Enrollment 37 students (50 max) as of 11:06AM Saturday, December 7, 2024
Subject Applied Analytics
Number PS5450
Section 001
Division School of Professional Studies
Open To Professional Studies
Note ON-CAMPUS. APAN ONLY. PRE-REQS: NEEDS ADVISOR APPROVAL
Section key 20243APAN5450K001