Textbook: D. Kincaid and W. Cheney, Numerical Analysis: Mathematics of Scientific Computing, Third Edition.
Programming: There will be some programming homework and examples. You may use either MATLAB/Octave, Python, or R. If you would like to use something different, please consult with the instructor first.
This course will be held in-person. Podcasting will be available via UCSD's podcasting system. The recordings will also appear in the Canvas Media Gallery.
Attendance is not mandatory for any segment of this course (except for exams, see below), but for a good course outcome, it is highly recommended to participate (live or watch the recording afterwards) in the following:
It is furthermore recommended to join the discussions
There will be weekly homework. Homework problems will be posted on Canvas under Files. Homework submissions are due on Mondays by 11 pm. Late homework will not be accepted! Please submit via Gradescope.com. Solutions to homework are made available on Canvas after the deadline.
Assignments should be uploaded in a single pdf file, or as a picture for each question. Please make sure your files are legible before submitting.
All students enrolled in MATH170A have been added to Gradescope. If you have not been added (due to late enrollment, for example), please wait one or two days after enrollment, you will be added automatically.
For coding problems, you need to submit a screenshot of the program you wrote, including a screenshot of the output of the code in case the homework asks you to apply it to some example. Handwritten code, pseudo code or numerical results without code will not result in any credit!
If more than 60% of students fill out CAPEs at the end of the quarter, I will drop everybody's lowest homework score when determining the grade. For course grades, see below.
Material refers to all of the material discussed in the lecture, HW and discussion sections from the respective textbook chapters.
| Exam | Date | Time | Where to find questions | Material |
|---|---|---|---|---|
| Quiz 1 | F Apr 15 | window: 11 am - 8 pm 30 min quiz time |
Canvas | 1.1, 1.2, 3.1, 3.2 (lectures 1-7) |
| Midterm | F Apr 29 | 5-6 pm | HSS 1330 (exam handed out on paper) | 3.3, 3.4, 6.1, 6.2 |
| Quiz 2 | F May 20 | window 11 am to 8 pm 30 min quiz time |
Canvas | 6.3, 6.4, 6.5, 6.6, 7.1 |
| Final | W Jun 8 | 8-9 am (last name A-L) 9:30-10:30 am (last name M-Z) |
HSS 1330 (exam handed out on paper) | everything taught in this class focus on later chapters |
If academic integrity violations are suspected on any of your assignments, the instructor might ask you to participate in a meeting to explain your solutions. In addition, you may also be reported to the Academic Integrity Office.
To learn how to avoid academic integrity violations in this class, read the academic integrity section.
Your grade will be based on the scores of the homework, two quizzes, one midterm, and one final exam. It will be calculated from taking the maximum of the methods defined below:
Method #1 = (30% HW) + (12.5% Quiz 1) + (12.5% Quiz 2) + (22.5% Midterm) + (22.5% Final)
Method #2 = (30% HW) + (15% for best quiz) + (27.5% Midterm) + (27.5% Final)
There will be no make-up exams. If you miss one of the quizzes, your grade will be computed using method 2. I will use the following approximate scale to compute your grade
| A+, A, A- | B+, B, B- | C+, C, C- | F |
|---|---|---|---|
| 90+ | 80+ | 60+ | [0,60) |
You are guaranteed this scale, that means that your grade will not be worse than specified by the above scale. There might be an adjustment (=improvement) of grades based on the overall class performance. Passing grade for P/NP is C-, i.e. you need at least overall 60% to pass this class.
Students requesting accommodations for this course due to a disability must provide a current Authorization for Accommodation (AFA) letter issued by the Office for Students with Disabilities (OSD) which is located in University Center 202 behind Center Hall. The AFA letter may be issued by the OSD electronically or in hard-copy; in either case, please make arrangements to discuss your accommodations with me in advance. We will make every effort to arrange for whatever accommodations are stipulated by the OSD. For more information, see here.