Math Assistance Center
The Math Assistance Center’s Mission
The Math Assistance Center seeks to enhance your understanding of mathematics through effective and focused tutoring. Our undergraduate tutors can provide explanations, guidance, and helpful study strategies for those students who are seeking to overcome the barriers and difficulties that so often appear in mathematics courses. Additionally, students may visit their graduate TA in the Math Assistance Center to receive more advanced assistance or advice pertinent to the course(s) they are taking. Regardless of your reasons for visiting the MAC, we hope that it is a productive and useful endeavor.
MAC Operation for Fall 2021
MAC Location:
O'Hara Student Center
2nd Floor, Room 215
Hours for the Physical Location of the MAC:
9am-4pm Mon-Thurs
9am-3pm Friday
Contact:
Daniel Hockensmith
***The Math Assistance Center will operate virtually for the first two weeks of the semester. All appointments during this time will be virtual. In-person tutoring will resume on September 12th, 2021.***
Appointments will be made through the Navigate Students App, available in the Google Play Store, the Apple Store, or my.pitt.edu. Appointments are 30 minutes long and may be made anytime within 7 days of an appointment’s availability. This means you can schedule an appointment up to a week in advance or within a few seconds of its commencement. This is especially useful if you need last-minute assistance and an appointment is available.
We offer in-person appointments within the Math Assistance Center’s physical location as well as virtual appointments. Your appointment notification will tell you where the appointment is located, so please be sure to check the emails and notifications you receive after scheduling to determine if the appointment is virtual or in person.
Additionally, the graduate TA’s for each course will hold office hours within the Math Assistance Center (or virtually, if that is their choice). The schedule of TA office hours will be available on the MAC’s website as well as within the MAC itself. Additionally, you will be able to search through the schedule of TA’s for a specific subject, meaning you will be able to find a graduate student to help you with your specific course.
The Fall 2021 MAC Schedule
Fall 2021 Schedules of Graduate TA’s
Selecting a class below will redirect you to the office hour schedule of the graduate TA’s for that course. You may visit any of these TA’s for assistance. For upper level courses, you may find only one or two TA’s per course. If you are having trouble finding assistance, please email Dr. Hockensmith at hockens2@pitt.edu.
TA’s holding virtual office hours have a hyperlink associated to their name (just click on their name and you should be redirected to their office hours). TA’s without a hyperlink are holding their office hours in the Math Assistance Center.
**You will need to log in with your Pitt credentials to view these schedules**
- Math 120 – Business Calculus
- Math 200 – Preparation for Scientific Calculus
- Math 220 – Analytic Geometry and Calculus I
- Math 230 – Analytic Geometry and Calculus II
- Math 240 – Analytic Geometry and Calculus III
- Math 280 – Linear Algebra
- Math 290 – Differential Equations
- Math 413 – Introduction to Theoretical Mathematics
- Math 420 – Introduction to Theoretical 1-Variable Calculus
- Math 430 – Introduction to Abstract Algebraic Systems
- Math 470 – Actuarial Mathematics I
- Math 480 – Applied Discrete Mathematics
- Math 1020 – Applied Elementary Number Theory
- Math 1070 – Numerical Mathematical Analysis
- Math 1180 – Linear Algebra
- Math 1360 – Modeling in Applied Mathematics
- Math 1470 – Partial Differential Equations I
- Math 1530 – Advanced Calculus
- Math 1550 – Vector Analysis and Applications
How to Schedule an Appointment
To make an appointment with a tutor, you will need to download a mobile app called Navigate Student or search for the "Navigate Student" task from your my.pitt.edu portal to schedule from your computer. Navigate Student is an app that you’ll use for many resources and services at Pitt. It will tip you off to important events coming up, can help you find the right fit major, connect you with support, allow you to make appointments with an advisor, and stay ahead of roadblocks.
This app is available in the Apple Store or Google Play Store, and you can search for it by typing “Navigate Student”.
Once you download the app, you will be prompted to select your school (type in: University of Pittsburgh) You will be asked to sign in with your Pitt username and password You will be asked to authenticate your login using two-factor authentication (more info on this here: https://www.technology.pitt.edu/services/multifactor-authentication-pitt) You will be prompted to fill out a short survey about your academic experiences and interests.
After you’ve taken these steps, use the app to schedule an appointment with a tutor:
Click on the "Get Assistance" button on the home screen.
- Type of Appointment: Tutoring
- Location: MAC – Math Assistance Center
- Service: The name of the course with which you require assistance.
- Choose your preferred date
- Find available time
Select the course for which you are seeking support. Only courses in which tutoring is offered that you are enrolled in will be available to schedule.
Choose an appointment time that fits your schedule. If you prefer a specific tutor, you can filter the available times by tutor. In the comments field when scheduling an appointment, you can specify exactly what you would like to talk about in your session, if you know. This field is not required
Dietrich School Scientific Computing Lab
Some mathematics courses include computer assignments using Lon CAPA, Mathematica, Maple or Matlab software. Expert help is available with this software on a walk-in basis in the Posvar Computer Lab.
Location
Posvar Hall
Room 1200A
230 S Bouquet St.
Hours
No in-person due to COVID-19
Contact
No in-person consultant.
Resources
For general study tips and academic advice, as well as resources for other subjects, feel free to consult the Study Lab Web page.