Instructor

Sangmi Lee Pallickara
Office: CSB 374
Office Hours: Friday 9:00 AM ~ 10:00 AM. CSB374 and online. Also, by appointment
Email: Sangmi.Pallickara (at colostate dot edu)
Tel: +1.970.492.4153
Fax: +1.970.491.2466

Graduate Teaching Assistants

Azlan Munir and Dejan Markovikj
Email: cs435(at cs dot colostate dot edu)

Lecture Times and Location

Monday and Wednesday 4:00 PM ~ 5:15 PM
Please visit the canvas page for the onlline access information.

Recitations

Thursday 12:00PM ~ 1:00PM
CSB130

Course Description

Modern scientific instruments and Internet-scale applications generate voluminous data pertaining to vital signs, weather phenomena, social networks that connect millions of users, and the origins of distant planets. Data produced in these settings hold the promise to significantly advanced knowledge. This course covers fundamental issues in Big Data. The course examines issues related to data organization, storage, retrieval, analysis and knowledge discovery at scale. This will include topics such as large-scale data analysis frameworks, data storage systems, self-descriptive data representations, and case studies.This course will involve hands-on programming assignments and term project using real-world datasets. 

Topics
- Overview of Big Data
- Scalable Data Analytics Frameworks
- Large-scale Data Analysis Models
- In-memory Data Analytics
- Distributed Storage Architecture
- NoSQL Databases

Textbooks (Optional)
Research articles and book chapters are listed in Canvas Modules.

Prerequisites:
Undergraduate level Operating Systems (CS370, C or higher) OR undergraduate level Algorithm Theory and Practice (CS320, C or higher)

Exams, Quizzes, Assignments, and Term Project
Please visit the canvas page for more information

Grading Policy: [Link]
Code of Conduct: [Link]