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Foundations for Informatics and Data Analytics


Course Description

An introduction to concepts in scientific programming and data science using the Python language. Students are given hands-on opportunities to learn techniques applicable to quantitative analyses across a broad range of fields. Core programming concepts are taught in tandem with real-world applications.


Athena Title

Informatics and Data Analytics


Equivalent Courses

Not open to students with credit in CSCI 1360E


Prerequisite

MATH 1113 or MATH 1113E


Semester Course Offered

Not offered on a regular basis.


Grading System

A - F (Traditional)


Course Objectives

Provides an introduction to concepts in scientific programming and data science using the Python language. Upon the conclusion of this course, students should be able to formulate solutions to problems in a broad range of fields in terms of their inputs and outputs (functional programming), repeated operations (loops), branching operations (conditionals), different methods of organizing data (data structures), how to implement an optimal problem-solving strategy (algorithm design),and how to visualize and interpret results.


Topical Outline

Introduction to data science Functional programming Loops, conditionals, variables, functions, control flow Data structure (lists, arrays, dictionaries, matrices) Vectorized programming Linear algebra and statistics Data preparation and preprocessing Importing and creating external packages Data plotting and visualization


General Education Core

CORE III: Quantitative Reasoning

Syllabus