_ CMSC - 320

CMSC 320 - Introduction to Data Science



Class:

Welcome to CMSC 320. This course focuses on (i) data management systems, (ii) exploratory and statistical data analysis, (iii) data and information visualization, and (iv) the presentation and communication of analysis results. It will be centered around case studies drawing extensively from applications, and will yield a publicly-available final project that will strengthen course participants' data science portfolios.

Schedule

Exam Dates:


  • Midterm 1: Tuesday, March 12th, in Lecture.
  • Midterm #2: Thursday, May 9th, in Lecture.
  • Final Tutorial: Saturday, May 18th, 11:59 PM.

Lectures


Date
Topic (files)
Reading
01/25 Course Intro Skills the next generation of data scientists need to know
01/31 Data Collection Webscraping Intro
Numpy for beginners
02/02 Numpy / Scipy
02/06 More Numpy / Scipy 10 minutes to Pandas
Tidy Data
02/08 Tidy Data / Pandas
02/13 SQlite /
Missing Data (intro)
02/15 Missing Data /
Overview of Linear Regression
02/20 Exploratory Data Analysis
02/22 Graph Measurements
02/27 Matplotlib /
Linear Regression
02/29 NLP II
03/05 NLP III & KNN Hypothesis testing basics
Hypothesis testing steps,
(Sections 8.1 through 8.4)
03/07 Statistical Inference
03/12 Midterm
03/14 Loss Functions /
Linear Regression
Ordinary least Squares (Normal Equation)
03/19 Spring Break
03/21
03/26 Linear Regression
Gradient Descent
Gradient Descent cheatsheet
03/28 Logistic Regression
04/02 Softmax Function & /
Intro to Decision Trees
04/04 Decision Trees & Intro to SVM
04/09 SVM
04/11 Cross validation
04/16 Bias vs. Variance Bias variance tradeoff
04/18 Unsupervised learning
KMeans, hierarchical
04/23 Loss Functions & Metrics
04/25 Distance Metrics

Staff

Instructor: Mohammad Nayeem Teli (nayeem at umd.edu)

Office: IRB 2224
Office Hours: Tue and Th, 3:30 PM - 4:30 PM


Teaching Assistants


  • Fuxiao Liu, fl3es at umd.edu
  • Hillary Nana Yaa Owusu, hnyowusu at umd.edu
  • Sungbok Shin, sbshin90 at umd.edu
  • Dinithi Nisansa Wickramaratne, dinithiw at umd.edu
  • Archit Kambhamettu , architk at terpmail.umd.edu
  • Radiah Islam , rislam12 at terpmail.umd.edu
  • Muhammad Islam , mrislam at terpmail.umd.edu

TA Office Hours


Day
Office hours (AVW 4122 )
Monday Sungbok (AVW 4122 ): 12:00 PM - 3:00 PM
Tuesday Dinithi (IRB-5137): 10:00 AM - 11:00 AM,
Sungbok (AVW 4122 ): 11:00 AM - 12:00 PM ,
Archit (AVW 4122 ): 12:00 PM - 2:00 PM
Wednesday Hillary (IRB-2119): 10:00 AM - 12:00 PM,
Dinithi (IRB-5137): 12:00 AM - 3:00 PM
Thursday Fuxiao (IRB-4107): 9:00 AM - 12:00 PM,
Radiah (AVW 4122 ): 12:00 PM - 2:00 PM
Friday Muhammad (AVW 4122 ): 10:00 AM - 12:00 PM,
Hillary (IRB-2119): 10:00 AM - 12:00 PM


Class Resources

Final Project
Online Course Tools