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Buffalo State University

Computational Tools for Applied Mathematians II, MAT 366

Data Science and Analytics with Spreadsheets, DBS and Python, DSA 301

(often cross-listed together)

Course Description (from the College):

MAT 366 COMPUTATIONAL TOOLS FOR APPLIED MATHEMATICIANS II

Prerequisites: MAT 164, MAT 241, and MAT 270 (discrete math); or permission of instructor. Structured programming, verification of program validity, data structures, combinatorial problems, flow network, algorithms, random number generators, simulation of random and nonrandom processes. Offered spring only.   3 credits

 

DSA 301 DATA SCIENCE AND ANALYTICS WITH SPREADSHEETS, DBS AND PYTHON

Prerequisites: MAT 241 or instructor permission. Introduction to tools and techniques needed to collect, clean, analyze and present data that can be used in any academic discipline. Data scraping from the internet. Visualization of data using appropriate software, spreadsheets, databases, Python. Offered occasionally. 4 credits.

Syllabus -- in Word format

Important Dates

 

see the syllabus for a more detailed calendar
 

Email List

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Announcements:

Office: online
My Buffalo State email: mccallb@buffalostate.edu
Office hours: 4:30-6 pm. Monday


Homework

 


Projects (graded)  



 

 

Python Tutorials

 

Answer Keys



In-class Examples

   
   
   
   
   
   
   
   


Notes & Video Links


 

PDF Graph Paper
Bad Graphs (Convention Speeches)
Visualizing Data Badly: 8 Examples
Correlation is not Causation: orginal article / handout
Presidents by State
How much people lie on surveys
Free Online Math Courses
Combinations and Permutations Calculator
How to Spot Bad Science

 

 

 
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Last updated: 2015 August 12th