CISC 7700X - Introduction to Data Science
CISC 7700X : TH 06:05-08:10PM ONLIN OC
Fall 2020 semester, class will meet on Google Meet platform (details TBD) during the regularly scheduled times.
Meeting ID meet.google.com/kfz-cesb-wps
Primary E-Mail: alex at theparticle dot com
[recommended] Doing Data Science: Straight Talk from the Frontline
[recommended] Data Science from Scratch: First Principles with Python
[recommended] Pattern Recognition and Machine Learning
[recommended] Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
[recommended] Data Smart: Using Data Science to Transform Information into Insight
[recommended] The Signal and the Noise: Why So Many Predictions Fail-But Some Don't
[recommended] Thoughtful Machine Learning: A Test-Driven Approach
[recommended] How to Lie with Statistics
Description:CISC 7700X - Introduction to Data Science
Data Science is an interdisciplinary field concerned primarily with extracting information from data. It incorporates aspects of computer science, statistics, analytics, and mathematics. This introductory course focuses on providing a broad overview of key concepts, such as data management, data preparation, analysis, machine learning, performance measures, and working with large data sets.
There will be about 10 projects/homeworks.
You will have at least a midterm and a final exam. There might also be a surprise quiz every few weeks.
In This Class:
Peer cooperation is encouraged, however, everyone must submit their own work. You will be expected to answer detailed questions about your assignments/projects. (i.e.: if you didn't write them, I'll know.)
Academic Integrity: The faculty and administration of Brooklyn College support an environment free from cheating and plagiarism. Each student is responsible for being aware of what constitutes cheating and plagiarism and for avoiding both. The complete text of the CUNY Academic Integrity Policy and the Brooklyn College procedure for implementing that policy can be found at this site: http://www.brooklyn.cuny.edu/bc/policies. If a faculty member suspects a violation of academic integrity and, upon investigation, confirms that violation, or if the student admits the violation, the faculty member MUST report the violation.
This means that if you cheat on a test or an assignment, I must file a report which will initiate academic penalties.
Attendance is not mandatory (I don't need a doctors note!), but highly recommended. [you must attend at least a few times in the first six weeks, or you will be dropped from the class with a WU grade]. Also, it would be VERY difficult to pass the class without regular attendence; you are responsible for catching up if you miss class (for any reason). That being said, if you hardly ever show up (miss >= 4 classes) don't expect to get anything but a WU grade.
All projects, assignments, homeworks, etc., will be submitted via email (subject line: "CISC 7700X HW#"). Do not print out the assignments - they will promptly be trashed.