University at Albany, State University of New York

College of Arts and Sciences
Department of Mathematics and Statistics

AMAT 502 Modern Computing for Mathematicians

When/Where

6716 Section: MW 11:40-1pm in ES 232.
7412 Section: MW 3-4:20pm in PH 224.

Instructors

Justin Curry
Tung Lam (TA)
Robby Green (TA)

Web Design

Marco Varisco

Semesters

Fall 2022

Fall 2022

Nota Bene: Registered students must submit HW via the servers.

August 22
Lecture 1 video, Jupyter notebook, and LIVE exercises.
History of the course. Arithmetic operations in Python. Introduction to functions and scalar data types. Syllabus for this semester.
 
August 24
Lecture 2 video, Jupyter notebook, and LIVE exercises. PS01 posted, due 9/2/22.
Indentation. If-Then logic. Comparison operators. Branching programs. Looping programs: while, for, and range.
 
August 29
Lecture 3 video, Jupyter notebook, and LIVE exercises.
Linear search versus bisection search. How to use this to compute square roots. Review of functions and NoneType.
 
August 31
Lecture 4 video, Jupyter notebook, and LIVE exercises.
Default values for functions. Docstrings. Abstraction. Recursion.
 
September 7
Lecture 5 video, Jupyter notebook, and LIVE exercises (v2).
Python Tutor. Iterative versus Recursive Implementations. Methods on Strings. The Subset-Sum problem.
 
September 12
Lecture 6 video, Jupyter notebook, and LIVE exercises.
Collection Data Types---lists, tuples, sets, and dictionaries---and the Edit Distance on Strings.
 
September 14
Lecture 7 video, Jupyter notebook, and LIVE exercises.
"One Liners" such as list comprehension and lambda functions. Brief introduction to Object Oriented Programming (OOP).
 
September 19
Lecture 8 video, Jupyter notebook, and LIVE exercises.
More Object Oriented Programming (OOP) and Intro to Data Structures.
 
September 21
MIDTERM 1 IN-CLASS EXAM. Here is a study guide.
Covers the first 6 lectures plus list comprehension!
 
September 26
Lecture 9 video, Jupyter notebook, and LIVE exercises.
OOP for Mortgages and Plotting.
 
September 28
Lecture 10 video, Jupyter notebook, and LIVE exercises.
Numpy array operations. Simulating random phenomena.
 
October 3
Lecture 11 video, Jupyter notebook, and LIVE exercises.
Randomness vs. Determinism. Frequency stats. Basic Distributions.
 
October 5
Lecture 12 video, Jupyter notebook, and LIVE exercises.
Basic Hypothesis Testing: signficance levels, 1 and 2 tail tests.