Dec 21, 2024  
Undergraduate Catalog 2022-2023 
    
Catalog Navigation
  Catalog Home
  2022-2023 Academic Calendar
  Introduction
  Admission Policies - Undergraduate
  Financial Aid
  Financial Information
  Student Life and Services
  Special Programs and Opportunities
  General Information and Policies
  Academic Regulations
  Undergraduate Degrees
  Programs of Study A through Z
  Common Learning Goals
  The Core Curriculum
  Undergraduate Course Descriptions
  My Portfolio
HELP
Undergraduate Catalog 2022-2023 [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

CSC 161 - Introduction to Analytics

Prerequisite(s): MAT 215  
This course introduces the students to fundamental analytical methods and approaches for data automation, data visualization, data analysis and quantitative simulations and experiments. Topics include variance analysis. Monte-Carlo simulations, crowd sourcing, non-Parametric analysis, data automation, supervisory break functions, qualitative analytics, Natural Language Processing and Natural Language Generation (NLP/NLG), as well as an introduction to data collections, data organization, normalization, Extract Transforms and Loads (ETL) and data manipulation languages (DML). Three credits. (Odd Spring)

Hours: 3


Add to Portfolio (opens a new window)