## Overview

Instructor | Dr. Armin Straub
MSPB 313 straub@southalabama.edu (251) 460-7262 (please use e-mail whenever possible) |

Office hours | MWF, 9-11am, or by appointment |

Lecture | MWF, 2:30-3:20pm, in MSPB 350 |

Midterm exams | The tentative dates for our two midterm exams are:
Friday, February 17 Friday, March 31 |

Final exam | Monday, May 1 — 3:30pm-5:30pm |

Online grades |
Homework Scores
Exams: USAonline (Canvas) |

Syllabus | syllabus.pdf |

## Lecture sketches and homework

To help you study for this class, I am posting **lecture sketches**. These are not a substitute for your personal lecture notes or coming to class (for instance, some details and motivation are not included in the sketches). I hope that they are useful to you for revisiting the material and for preparing for exams.

Date | Sketch | Homework |
---|---|---|

01/09 | lecture01.pdf | Homework Set 1: Problems 1-6 (due 1/23) |

01/11 | lecture02.pdf | Homework Set 1: Problems 7-8 (due 1/23) |

01/13 | lecture03.pdf | Homework Set 1: Problem 9 (due 1/23) |

01/18 | lecture04.pdf | Homework Set 2: Problems 1-3 (due 1/30) |

01/20 | lecture05.pdf | Homework Set 2: Problem 4 (due 1/30) |

01/23 | lecture06.pdf | Homework Set 2: Problems 5-6 (due 1/30) |

01/25 | lecture07.pdf | Homework Set 3: Problems 1-3 (due 2/6) |

01/27 | lecture08.pdf | Homework Set 3: Problems 4-5 (due 2/6) |

01/30 | lecture09.pdf | Homework Set 3: Problems 6-7 (due 2/6) |

02/01 | lecture10.pdf | Homework Set 4: Problem 1 (due 2/13) |

02/03 | lecture11.pdf | Homework Set 4: Problems 2-3 (due 2/13) |

02/06 | lecture12.pdf | Homework Set 4: Problem 4 (due 2/13) |

02/08 | lecture13.pdf | work through Example 62 |

02/10 | lecture14.pdf | Homework Set 5: Problems 1-3 (due 2/17) |

02/13 | lecture15.pdf | work through Example 68 |

02/15 | review | get ready for the midterm exam on 2/17 (Friday)
exam practice problems (as well as solutions) are posted below |

02/20 | lecture16.pdf | Homework Set 6: Problems 1-2 (due 3/3) |

02/22 | lecture17.pdf | Homework Set 6: Problems 3-4 (due 3/3) |

02/24 | lecture18.pdf | Homework Set 6: Problem 5 (due 3/3) |

02/27 | lecture19.pdf | Homework Set 7: Problems 1-2 (due 3/17) |

03/01 | lecture20.pdf | Homework Set 7: Problems 3-4 (due 3/17) |

03/03 | lecture21.pdf | Homework Set 7: Problems 5-6 (due 3/17) |

03/13 | lecture22.pdf | Homework Set 8: Problem 1 (due 3/29) |

03/15 | lecture23.pdf | work through Example 98 |

03/17 | lecture24.pdf | Homework Set 8: Problems 2-3 (due 3/29) |

03/20 | lecture25.pdf | Homework Set 8: Problem 4 (due 3/29) |

03/22 | lecture26.pdf | Homework Set 8: Problems 5-6 (due 3/29) |

03/24 | lecture27.pdf | Homework Set 9: Problems 1-3 (due 3/31) |

03/27 | lecture28.pdf | work through exam practice problems |

03/29 | review | get ready for the midterm exam on 3/31 (Friday)
exam practice problems (as well as solutions) are posted below |

04/03 | lecture29.pdf | Homework Set 10: Problem 1 (due 4/17) |

04/05 | lecture30.pdf | Homework Set 10: Problem 2 (due 4/17) |

04/07 | lecture31.pdf | work through Examples 135, 136 |

04/10 | lecture32.pdf | Homework Set 10: Problems 3-4 (due 4/17) |

04/12 | lecture33.pdf | Homework Set 11: Problem 1 (due 4/26) |

04/14 | lecture34.pdf | Homework Set 11: Problem 2 (due 4/26) |

04/17 | review / fill in gaps | revisit Example 114 |

04/19 | lecture35.pdf | Homework Set 11: complete! (due 4/26) |

04/21 | lecture36.pdf | work through Examples 142, 143, 144 |

04/24 | lecture37.pdf | finish all homework |

04/26 | review | get ready for the final exam on 5/1 (Monday)
exam practice problems (as well as solutions) are posted below |

04/28 | review | retake old midterm exams |

lectures-all.pdf (all lecture sketches in one big file) |

## About the homework

- Homework problems are posted for each unit. Homework is submitted online, and you have an unlimited number of attempts. Only the best score is used for your grade.
Most problems have a random component (which allows you to continue practicing throughout the semester without putting your scores at risk).

- Aim to complete the problems well before the posted due date.
A 15% penalty applies if homework is submitted late.

- Collect a
**bonus point**for each mathematical typo you find in the lecture notes (that is not yet fixed online), or by reporting mistakes in the homework system. Each bonus point is worth 1% towards a midterm exam.The homework system is written by myself in the hope that you find it beneficial. Please help make it as useful as possible by letting me know about any issues!

## Exams and practice material

The following material will help you prepare for the exams.

- Midterm Exam 1:

midterm01-practice.pdf, midterm01-practice-solution.pdf

midterm01.pdf, midterm01-solution.pdf - Midterm Exam 2:

midterm02-practice.pdf, midterm02-practice-solution.pdf

midterm02.pdf, midterm02-solution.pdf - Final Exam:

final-practice.pdf, final-practice-solution.pdf

## Sage

For more involved calculations, we will explore the open-source free computer algebra system Sage.

If you just want to run a handful quick computations (without saving your work), you can use the text box below.

A convenient way to use Sage more seriously is https://cocalc.com. This free cloud service does not require you to install anything, and you can access your files and computations from any computer as long as you have internet. To do computations, once you are logged in and inside a project, you will need to create a "Sage notebook" as a new file.

Here are some other things to try:

- Sage can solve (symbolically!) simple initial value problems. For instance, to solve Example 18 in Lecture 4:
y = function('y')(x) desolve(diff(y,x,2) - diff(y,x) - 2*y == 0, y, ics=[0,4,5])

- Sage is happy to compute eigenvalues and eigenvectors. For instance, to solve Example 52 in Lecture 10:
A = matrix([[8,-10],[5,-7]]) A.eigenvectors_right()

- Sage can even compute general powers of a matrix. For instance, to solve Example 61 in Lecture 13:
n = var('n') M = matrix([[0,1],[2,1]]) M^n

- Similarly, Sage can compute matrix exponentials. For instance, to solve Example 66 in Lecture 14:
M = matrix([[8,-10],[5,-7]]) exp(M*x)

(Note that`x`

is predefined as a symbolic variable in Sage; that's why we don't need`x = var('x')`

as in the case of`n`

above.) - Using matrix exponentials, we can easily solve inhomogeneous systems of differential equations. For instance, to solve Example 77 in Lecture 17:
t = var('t') A = matrix([[1,2],[-1,4]]) y = exp(A*x)*vector([1,2]) + exp(A*x)*integrate(exp(-A*t)*vector([0,2*e^t]), t,0,x) y.simplify_full()