Midterm Exam 1#

Logistics#

  • Date: Thursday, June 15th 2023

  • Arrival Time: join the Zoom Meeting at 8:15am ET.

  • Start Time: exam starts at 8:30am ET.

  • Important Links: Join the Zoom Meeting on your phone (positioned 4ft away from you). You will use your computer to access the exam questions.


What to Bring#

  • Student ID: Bring either your UB Student ID or government issued ID.

  • Calculator Policy: Calculators are NOT allowed. The exam questions are written so that a calculator is not needed.

  • References/resources policy: No outside references/resources allowed during the exam. The only references/resources allowed during the exam are those provided as part of the exam packet.

    • No reference page will be provided. However, the limit definition of the derivative (TL7) formula will be provided.


What to Study#

  • Topics: learning outcomes TL1-TL8, BD1-BD5, DG1-DG5, DO1-DO2, AD1-AD2. (Chapter 1, Sections 2.1-2.5, Section 3.1)

  • Number of Questions: 22 problems.

    • These will be similar in format to the Checkpoint Exam questions.

    • There will be one question per learning outcome (just like the Checkpoint Exams).

  • Simplifying: Unless otherwise stated on the exam, you do not need to simplify your answers.


How To Study#

The more problems you do, the better prepared you will be!

  • Checkpoint Exams - If one of your questions was marked incorrect, make sure you understand why. Go through your notes or the lecture video, find a similar example, and compare what we did there vs what you had on your exam.

  • Old Homework Problems on WeBWork

  • In-Class Problems - try the in-class problems we did in lecture.

  • Lecture Examples - try the examples we did in lecture: work on them by yourself and then use your notes or the review video to check your solution (not just your answer) or for help if you get stuck.


Follow-up Opportunity#

For any learning outcome still marked as Progressing on any Checkpoint Exam:

  • If you score a 90% or better on a Midterm Exam 1 question which tests the same learning outcome, you will earn (M) Meets Expectations for that learning outcome.