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Big Data: Syllabus

CS535

Fall 2017

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Instructor
Sangmi Lee Pallickara
Office: CSB Room 456
Office Hours: Tuesday 11:00 AM ~ noon and by appointment
Email: sangmi (at cs dot colostate dot edu)
Tel: +1.970.492.4153
Fax: +1.970.491.2466


Lecture Times and Location
Tuesday, and Thursday 9:30 PM ~ 10:45 PM
CSB 425


Description
Storage, retrieval, analysis, and knowledge discovery using Big Data has made significant inroads in several domains in industry, research, and academia. In this course, we will look at the dominant software systems and algorithms for coping with Big Data. Topics covered include scalable computing models, large-scale non-traditional data storage frameworks including graph, key-value, and column-family storage systems; data stream analysis; scalable prediction models and in-memory storage systmes.


Topics
- Batch computing models for Big Data computing
- Key-value storage systems
- Scalable prediction models
- Large scale link analysis
- Scalable data analytics
- Data models
- Realtime data stream analytics
- Frameworks for the graph data analytics
- In-memory distributed data storage systems


Textbooks (Optional)
Research articles are listed in the schedule page.

Prerequisites:
Undergraduate level Operating Systems

Important Dates
8/25 Restricted drop deadline
10/16 End of course widthdrawal period
11/16 Midterm Exam

12/8 Last day of semester
Colorado State University Academic Calendar


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