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Stony Brook University
Data Science Fundamentals
CSE51d - Fall 2015

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Syllabus
Assignments
Notes

Announcements

  • 10/9: Mini-project #3 is out, due October 27.
  • 9/17: Mini-project #2 is out, due October 8.
    (Make sure to consider the size of available datasets while scoping projects)
  • 8/30: TA information is now up to date.
  • 8/27: Mini-project #1 is out, due September 17.
  • 7/1: Welcome to the class! Hope you will enjoy it :)
  • 7/1: Students are encouraged to study the Syllabus to have a general understanding of the
    course organization, as well as the Assignments to have an idea about the workload.

PEOPLE:

Instructor: Leman Akoglu
  • Office: 257 Computer Science
  • Office hours: Tue 2:30PM - 3:30PM
  • Email: invert (cs.stonybrook.edu @ leman)

Teaching Assistant: Ali Selman Aydin
  • Office: Computer Science 2203 (old bldg)
  • Office hours: Monday 4PM - 5PM
  • Email: invert (stonybrook.edu @ aliselman.aydin)


CLASS MEETS:

Time: Tue & Thu 5:30PM - 6:50PM
Place: Computer Science 2311 (old bldg)


COURSE DESCRIPTION:


Knowledge discovery in data is "the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data" --- Fayyad et al. (1996)

Motivation: Large-scale data generated by humans and machines is available everywhere. Acquiring the fundamental skills on how to 1) analyze and understand as well as 2) manage and process these large datasets are crucial in today's data-driven world, for producing data products that solve real-world problems.

This course will cover the fundamental concepts in data science, to equip students with the key skillset toward becoming good data scientists. Major topics include scoping projects, data preparation, statistics basics, visualization, statistical learning, data mining, various types of structured and unstructured data analysis, matrix methods, scalability, and optimization.
See syllabus for details.



TEXTBOOKS:

We expect students to have a copy of the following book, from which most readings will be assigned. Below you can find a list of other recommended books to learn certain subjects in more depth.
I will also post the lecture notes on the Blackboard. See resources for other pointers.


BULLETIN BOARD and other info


MISC - FUN:

joke1     joke2     joke3     joke4


Stony Brook University, CSE 51d Data Science Fundamentals