DS2500

Intermediate Programming With Data - Spring 2023

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Schedule & Notes

	Date	Focus / Materials	Assigned [Due]
“lab”	M Jan 9	Installing python (attendance optional)
class0	T Jan 10	Admin (syllabus & policies) Jupyter & Markdown day0.ipynb
class1	F Jan 13	Data Types (list/tuple, dictionary) Operators (arithmetic & logical) Control flow (if-statements) sec2 sec3 sec4
“lab”	M Jan 16	MLK Jr Day: no lab
class2	T Jan 17	Slicing (indexing) lists / tuples Functions Assert sec2 sec3 sec4
class3	F Jan 20	String Manipulation Sets Loops (zip, enumerate, itertools) sec2 sec3 sec4	hw0 [F Feb 3]
lab0	M Jan 23	lab0: hangman	lab0 [W Jan 25]
class4	T Jan 24	Imports Numpy: Arrays (indexing) sec2 sec3 sec4
class5	F Jan 27	Numpy wrap up How (and why) to write beautiful software: Program design, Documentation & Testing sec2 sec3 sec4
lab1	M Jan 30	lab1: tic-tac-toe	lab1 [W Feb 1]
class6	T Jan 31	Pandas: Series & DataFrames sec2 sec3 sec4 titanic.csv penguin.csv
class7	F Feb 3	Comma Separated Values Plotting (matplotlib / seaborn) day7_stud.ipynb data	hw1 [F Feb 10]
lab2	M Feb 6	lab2: triple-or-nothing analysis (plotting)	lab2 [W Feb 8]
class8	T Feb 7	Object Oriented Programming (OOP): Intro sec2 sec3 sec4
class9	F Feb 10	OOP: Overloading Operators OOP: Class Methods & Attributes sec2 sec3 sec4	hw2 [F Feb 17]
lab3	M Feb 13	lab3: OOP Sounds	lab3 [W Feb 15]
class10	T Feb 14	OOP: Inheritance & Polymorphism sec2 sec3 sec4
class11	F Feb 17	Describing sets of numbers (mean & variance) Covariance Correlation (zoom link will be here) sec2 sec3 sec4 math.pdf video_cov_match video_correlation	hw3 [F Feb 24]
“lab”	M Feb 20	President’s day: no lab
class12	T Feb 21	k Nearest Neighbors Meaningful Distances sec2 sec3 sec4
class13	F Feb 24	Cross Validation Measuring Binary Classifier Performance sec2 sec3 sec4	hw4 [F Mar 3]
lab4	M Feb 27	lab4: K-Nearest-Noises	lab4 [W Mar 1]
project	M Feb 27	Project Proposal	Proj: Proposal [M Feb 27]
class14	T Feb 28	Decision Trees Random Forest sec2 sec3 sec4
class15	F Mar 3	Regression w/ single feature Mean Squared Error & R^2 sec2 sec3 sec4 csv	hw5 [F Mar 17]
		—–spring break—–
“lab”	M Mar 13	no lab
class16	T Mar 14	Regression Polynomial Regression Balancing simple vs complex models zip sec2 sec3 sec4
class17	F Mar 17	K-means Clustering, PCA day17_stud.zip sec2 sec3 sec4	hw6 [F Mar 24]
lab5	M Mar 20	lab5: NBA Player Salaries (RF Regression)	lab5 [W Mar 22]
class18	T Mar 21	Bayes Rule (math) part1_sec2 part2_sec2 part1_sec3 part2_sec3 part1_sec4 part2_sec4
class19	F Mar 24	Bayes Net sec2 sec3 sec4 csv	hw7 [M Apr 3]
project	M Mar 27	Data and Analysis Plan	Proj: DA Plan [M Mar 27]
lab6	M Mar 27	lab6: tic-tac-take	lab6 [W Mar 29]
class20	T Mar 28	web scraping sec2 sec3 sec4
class21	F Mar 31	APIs Male bovine solid excretion & data visualization sec2 sec3 sec4
“lab”	M Apr 3	Peer & TA support on hw:7 (optional)
class22	T Apr 4	Project meetings with Prof Higger sign up here (to allow meetings, no class will be held)
class23	F Apr 7	Project meetings with Prof Higger sign up here (to allow meetings, no class will be held)
“lab”	M Apr 10	no lab
class24	T Apr 11	Building something good (and avoiding building something bad) day24
class25	F Apr 14	Project Presentation
class26	T Apr 18	Project Presentation
project	W Apr 19	Final Report Due	Proj: Final Report [W Apr 19]