Advanced Data Analytics

Course Description

CISC 351: Advanced Data Analysis introduces design and implementation of complex analytics techniques; predictive algorithms at scale; deep learning; analytics in the Web; social network analysis; text analysis; recommender systems, and applications in specialized domains.

Course Information

  • Instructor: Dr. Yuan Tian, yuan.tian at cs.queensu.ca
  • TAs: Haoxiang Zhang
  • Classroom: Dupuis RM217
  • Times: Monday 16:30, Wednesday 15:30, Friday 14:30
  • Office: Goodwin 535
  • Q&A, Survey: piazza.com/queensu.ca/winter2019/cisc351
  • Course Materials: OnQ
  • Syllabus: https://drive.google.com/file/d/1Grj_irEXOJ67OPjqX6n82ab76FmPZGI0/view?usp=sharing

Assessment

  • 15% Assignments - we will have 4 assignments. I will count the highest 3 (3*5%).
  • 35% Quizzes - we will have 2 quizzes. Lower counts 15%, the higher one counts 20%.
  • 50% Project (proposal 5% + presentation 10% + final report 35%)
  • Up to 5% Bonus points - based on activities on Piazza and selection of Project.

Schedule

Assignment Dues (before the end of the day):

  • Assignment 1: Thursday 2019-01-24
  • Assignment 2: Thursday 2019-02-14
  • Assignment 3: Thursday 2019-03-07
  • Assignment 4: Thursday 2019-03-28


Quizzes:

  • Quiz 1: Friday 2019-02-08 14:30
  • Quiz 2: Friday 2019-03-22 14:30
CISC351, Winter 2019

Group Project Showcase