| Page | Contents |
|---|---|
| Home | Quick course and instructor information |
| Syllabus | About the class, class materials and resources, class assessment and expectations |
| Topics | Tentative topics, notes, assignments, and books and online resources list |
- Title: MTH 342: Applied Linear Algebra
- Section: A
- Instructor: Dr. Alex John Quijano
- Office: Buckley Center 279
- Email: quijano@up.edu
The course schedule and location is:
- Section A: MWF 10:20 AM - 11:15 AM, Franz Hall 018
Dr. Alex John Quijano
- Walk-in Monday to Thursday at 4:00 PM - 5:00 PM, Buckley Center 279
Dr. Alex John Quijano
Students can get academic assistance through Learning Commons tutoring services and workshops. The Co-Pilot peer tutoring program provides students with opportunities to work with other students to get help in writing, math, group projects, and other courses. Schedule an appointment to meet with a Co-Pilot (tutor) by visiting the Learning Commons website. Students can also meet with a Co-Pilot during drop-in hours. Check the Learning Commons website or drop by the Learning Commons in BC 163 to learn more about their services. Find a tutor at the Learning Commons to get support on your academic journey.
Appointment-based tutoring accepts appointments starting week 1 and sessions start week 2. Visit the Math Resource Center website to sign-up for an appointment. Drop-in tutoring is Monday to Thursday, 3:00 PM - 7:00 PM in BC 163 and starts week 2. Check the Math Resource Center website or drop by the center for more information.
The Teams for this course is MTH-342-sp24.
My UP email is quijano@up.edu.
If you prefer communicating through email, note that I have set up an email filter for this course, and you must put the “MTH 342” keyword in your subject line.
Please register on Gradescope using your UP email address to access assignments. The Gradescope entry code for this course is 8EWE42.
Create a free account at Posit Cloud Sign-Up using your UP email. Note that you must use your UP email for me to add you into the course’s workspace in Posit Cloud. You will receive an email inviting you into the workspace at the first week of the semester.
R or Python instructions and materials will be provided ad hoc.