Foundational methods and techniques of scientific computing in the mathematical and statistical sciences. This course will cover fundamental computational algorithms aimed toward applications in science and engineering. Students will implement algorithms, and visualize and validate their outcomes. Further, students will be introduced to and implement best programming practices. Prereq: MATH 2450 or equiv. or consent of instructor; MATH 1700 or equiv. introductory statistics course or consent of instructor, and programming competency in a high-level language.
Lectures: |
M, W, F | 11:00am - 11:50am |
| Cudahy Hall 208 | ||
Office Hours: |
Monday, | 1:00pm - 2:00pm |
| in person, Cudahy 307 | ||
| Wednesday, | 2:30pm - 3:30pm | |
| on Microsoft Teams | ||
| and by appointment (just email me!) | ||
| Tues, Jan 17 | Classes begin |
| Wed, Jan 25 | Last day to add/drop classes or request CR/NC option |
| Mon, Mar 6 — Sat, Mar 11 | Midterm exam period |
| Mon, Mar 13 — Fri, Mar 17 | Spring break, no classes |
| Thurs, Apr 6 — Mon, Apr 10 | Easter break, no classes |
| Fri, Apr 14 | Last day to withdraw from classes |
| Fri, May 5 | Last day of classes |
| # | Date | Topics | Announcements / Homework |
|---|---|---|---|
| Week 1 | |||
| 1 | Wed, Jan 18 |
Syllabus Topic 1 - Installing Python and other tools |
Guide to installing and using Python Before class on Friday:
|
| 2 | Fri, Jan 20 | Topic 2 - Quick(ish) Introduction to Python (started) |
NOTE: You may need to right click the links to notebooks and save them, otherwise they might open in your browser in a messy text format. Windows may add a ".txt" extension automatically when you download the the notebook files. The extension should be .ipynb, not .ipnb.txt. If so, you will need to remove the ".txt" file extension to open it correctly. |
| Week 2 | |||
| 3 | Mon, Jan 23 | Topic 2 - Quick(ish) Introduction to Python (continued) | |
| 4 | Wed, Jan 25 | Topic 2 - Quick(ish) Introduction to Python (finished) Topic 3 - Greedy Algorithms (started) |
Lecture Notes |
| 5 | Fri, Jan 27 |
Homework 1 Assigned — see D2L Topic 3 - Greedy Algorithms (continued) |
Lecture Notes |
| Week 3 | |||
| 6 | Mon, Jan 30 | Topic 3 - Greedy Algorithms (continued) | Lecture Notes |
| 7 | Wed, Feb 1 | Topic 3 - Greedy Algorithms (continued) |
Lecture Notes
|
| 8 | Fri, Feb 3 | Topic 3 - Greedy Algorithms (continued) |
Lecture Notes |
| Week 4 | |||
| 9 | Mon, Feb 6 | Homework 1 Due | |
| 10 | Wed, Feb 8 | ||
| 11 | Fri, Feb 10 | ||
| Week 5 | |||
| 12 | Mon, Feb 13 | ||
| 13 | Wed, Feb 15 | ||
| 14 | Fri, Feb 17 | ||
| Week 6 | |||
| 15 | Mon, Feb 20 | ||
| 16 | Wed, Feb 22 | ||
| 17 | Fri, Feb 24 | ||
| Week 7 | |||
| 18 | Mon, Feb 27 | ||
| 19 | Wed, Mar 1 | ||
| 20 | Fri, Mar 3 | ||
| Week 8 | |||
| 21 | Mon, Mar 6 | ||
| 22 | Wed, Mar 8 | ||
| 23 | Fri, Mar 10 |
Midterm Exam, In-Class Part Take-Home Part Assigned (tentative) |
|
| Spring Break | |||
| Mon, Mar 13 | Spring Break — no classes | ||
| Wed, Mar 15 | Spring Break — no classes | ||
| Fri, Mar 17 | Spring Break — no classes | ||
| Week 9 | |||
| 24 | Mon, Mar 20 | ||
| 25 | Wed, Mar 22 | ||
| 26 | Fri, Mar 24 | Take-Home Part of Midterm Exam Due (tentative) | |
| Week 10 | |||
| 27 | Mon, Mar 27 | ||
| 28 | Wed, Mar 29 | ||
| 29 | Fri, Mar 31 | ||
| Week 11 | |||
| 30 | Mon, Apr 3 | ||
| 31 | Wed, Apr 5 | ||
| Fri, Apr 7 | Easter Break – no classes | ||
| Week 12 | |||
| 32 | Mon, Apr 10 | Home Work Day, no in-person lecture | |
| 33 | Wed, Apr 12 | ||
| 34 | Fri, Apr 14 | ||
| Week 13 | |||
| 35 | Mon, Apr 17 | ||
| 36 | Wed, Apr 19 | ||
| 37 | Fri, Apr 21 | ||
| Week 14 | |||
| 38 | Mon, Apr 24 | ||
| 39 | Wed, Apr 26 | ||
| 40 | Fri, Apr 28 | ||
| Week 15 | |||
| 41 | Mon, May 1 | ||
| 42 | Wed, May 3 | ||
| 43 | Fri, May 5 |