Big Data Applications and Analytics¶
- Semester: Fall 2016
- Link to Read the Docs: http://bdaafall2016.readthedocs.io/en/latest/
- Link to OpenEdX
- Overview
- About the Course
- Course Numbers
- Meeting Times
- Office Hours
- Discussions and communication
- Calendar
- Common Mistakes
- Systems Usage
- Term Paper or Project
- Software Project
- Term Paper
- Report Format
- Code Repositories Deliverables
- Prerequisites
- Learning Outcomes
- Grading
- Academic Integrity Policy
- Instructors
- Teaching Assistants
- Links
- Updates
- Syllabus
- Errata
- Section 1 - Introduction
- Section 2 - Overview of Data Science: What is Big Data, Data Analytics and X-Informatics?
- Section 3 - Health Informatics Case Study
- Section 4 - Sports Case Study
- Section 5 - Technology Training - Python & FutureSystems (will be updated)
- Section 6 - Physics Case Study
- Section 7 - Big Data Use Cases Survey
- Section 8 - Technology Training - Plotviz
- Section 9 - e-Commerce and LifeStyle Case Study
- Section 10 - Technology Training - kNN & Clustering
- Section 11 - Cloud Computing Technology for Big Data Applications & Analytics (will be updated)
- Section 12 - Web Search and Text Mining and their technologies
- Section 13 - Technology for Big Data Applications and Analytics
- Section 14 - Sensors Case Study
- Section 15 - Radar Case Study
- FAQ
- I am full time student at IUPUI? Can I take the online version?
- I am a residential student can I take the online version only?
- Do I need to buy a textbook?
- Do I need a computer to participate in this class?
- How to write a research article on computer science
- How to you use bibliography managers JabRef & Endnote or Mendeley
- Plagiarism test and resources related to that
- How many hours will this course take to work on every week?
- Homework
- Using GitLab
- Software Projects