The fastest way to get help with homework assignments is to post your questions on Piazza. That way, only our TAs and instructor can help, your peers can too.
If you prefer that your question addresses to only our TAs and the instructor, you can use the private post feature (i.e., check the "Individual Students(s) / Instructors(s)" radio box).
While we welcome everyone to share their experiences in tackling issues and helping each other out, but please do not post your answers, as that may affect the learning experience of your fellow classmates.
For special cases such as failed submissions due to system errors, missing grades, failed file uploads, emergencies that prevent you from submitting, personal issues, you can contact the staff using a private Piazza post.
TAs will hold office hours starting week 2, except on Georgia Tech holidays (e.g., thanksgiving, MLK day, spring break). Each office hour session will be run by at least one TA, and is 1 hour long. See GT’s academic calendar for the full list of holidays (https://registrar.gatech.edu/calendar). We will spread the office hours across weekdays, and across time of the day. We will announce the office hour times.
We will hold office hours via Slack, where the TA running the office hour will be responsive. We will share information about how to join the appropriate Slack group.
Please note that you are always welcome to ask questions on Piazza. Office hours supplement Piazza, and do not replace it.
|1||Aug||20-24||* Course Introduction
* Analytics Building Blocks
* Data Science Buzzwords
Fri, Aug 24, 14:00 UTC
(10:00 ET; 07:00 PT)
|2||27-31||* Data Collection
* Data Cleaning
* Class Project Overview
* Code Back-up & Version Control
|3||Sept||3-7||* Data Integration
* Data Analytics, Concepts and Tasks
|4||10-14||* Visualization 101
* Fixing Common Visualization Issues
|Form project teams by
Wed, Sept 19, 14:00 UTC
|5||17-21||* Data Visualization for Web (D3)|
|6||24-28||* Scalable Computing: Hadoop
* Scalable Computing: Pig
* Scalable Computing: Hive
|7||Oct||1-5||* Scalable Computing: Spark
* Scalable Computing: HBase
* Visualization for Classification
Proposal Document due
Proposal Presentation Slides and Video due
|9||15-19||* Introduction to Clustering|
|10||22-26||* Graph Analytics
* Ensemble Method
* Scaling up Algorithms with Virtual Memory
|11||Nov||29-2||[Work on Project]|
|12||5-9||[Work on Project]||Progress Report due
Wed, Nov 7, 14:00 UTC (09:00 ET; 06:00 PT)
|13||12-16||* Text Analytics||HW4 due
Fri, Nov 16, 14:00 UTC
|14||19-23||[Work on Project]|
|15||26-30||[Work on Project]||
Poster Presentation Video due
Final Report due
|16||Dec||3-7||Wrap up peer assessment||
Poster Presentation Video grading starts
Poster Presentation Video grading due
Students have at least 3 weeks to complete each homework assignment. Some students waited until the last week, and could not finish. It is critical to plan ahead and prepare for the significant time needed.
Basic linear algebra, probability and statistics knowledge is also expected.
The Office of Disability Services offers accommodations for students with disabilities. Please contact the office should you need help.
None, but you should have taken courses similar to those listed in the next section, at Georgia Tech or at another school.
If you are an Analytics (OMS or campus) degree student, you should first take CSE 6040 and do very well in it; if necessary, please also first take CS 1301.
We thank Intel's support in curriculum development for the memory mapping module (scaling up algorithms with virtual memory).
We thank Amazon Educate for providing free cloud credit for Amazon Web Services. We are excited to be am AWS partner university and part of AWS Educate's private beta.
We thank Microsoft Azure's special grant for providing free cloud credit.
We thank Tableau for Teaching program's data visualization software.Many thanks to my colleagues for sharing their course materials: