Overview
MSPB 313
straub@southalabama.edu
(251) 460-7262 (please use e-mail whenever possible)
Monday, September 28
Wednesday, November 11
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, lots of 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 |
|---|---|---|
| 08/19 | lecture01.pdf | Homework Set 1: Problems 1-3 (due 8/31) |
| 08/21 | lecture02.pdf | Homework Set 1: Problems 4-5 (due 8/31) |
| 08/24 | lecture03.pdf | Homework Set 1: Problems 6-8 (due 8/31) |
| 08/26 | lecture04.pdf | Homework Set 2: Problem 1 (due 9/9) |
| 08/28 | lecture05.pdf | Homework Set 2: Problems 2-5 (due 9/9) |
| 08/31 | lecture06.pdf | Homework Set 2: Problems 6-7 (due 9/9) |
| 09/02 | lecture07.pdf | Homework Set 3: Problems 1-2 (due 9/13) |
| 09/04 | lecture08.pdf | Homework Set 3: Problems 3-6 (due 9/13) |
| lectures-all.pdf (all lecture sketches in one big file) | ||
| Overview of all homework problems | ||
About the homework
- Homework problems are posted after most classes. 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. 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!
Python
If you just want to run a handful quick computations (without saving your work), you can use the text box below.
However, keep in mind that the code entered in this box is run as a Python script. That means that we need to use print(...) if we want to see any output.
One convenient option for interactively running Python code in the cloud is Colab by Google Research. You can sign in with any Google account (since Google is managing university email, you can use your university account). Perform your first computation by entering something like "1+2" and pressing Shift+Enter.