As you may have seen in our class policies, our "examlets" will take place in a computer-based testing facility ("CBTF") in Grainger Library.

You must
**schedule your test appointment**
with the Computer-Based Testing Facility at this link.
This examlet is now available for scheduling.

Find out more about the testing facility, such as:

- where it is
- when to show up
- what to bring (and not to bring)

The exam will be 110 minutes in length, and it will cover the material up to and including the lecture of April 20 and Quiz 27.

As you may have seen in our class policies, our "examlets" will take place in a computer-based testing facility ("CBTF") in Grainger Library.

You must
**schedule your test appointment**
with the Computer-Based Testing Facility at this link.
This examlet is now available for scheduling.

Find out more about the testing facility, such as:

- where it is
- when to show up
- what to bring (and not to bring)

The exam will be 110 minutes in length, and it will cover the material up to and including the lecture of March 30 and Quiz 21.

As you may have seen in our class policies, our "examlets" will take place in a computer-based testing facility ("CBTF") in Grainger Library.

You must
**schedule your test appointment**
with the Computer-Based Testing Facility at this link.
This examlet is now available for scheduling.

Find out more about the testing facility, such as:

- where it is
- when to show up
- what to bring (and not to bring)

The exam will be 110 minutes in length, and it will cover the material up to and including the lecture of March 9 and Quiz 17.

**schedule your test appointment**
with the Computer-Based Testing Facility at this link.
This examlet is now available for scheduling.

Find out more about the testing facility, such as:

- where it is
- when to show up
- what to bring (and not to bring)

The exam will be 110 minutes in length, and it will cover the material up to and including the lecture of February 16 and Quiz 11.

- Finish Monte Carlo (integration and convergence)
- Pseudorandom number generation
- Absolute and relative error
- Condition numbers

- Integration by Monte Carlo
- (Section M) Expected values by sampling a different distribution

Quiz: Interpolation II (Quiz 7)

- Monte Carlo methods
- Expected values by sampling a different distribution
- (Section N) proof of Central Limit Theorem

- Intro to Interpolation
- Intuition for error in Interpolation
- Monte Carlo basics
- (Section N) Expected values by sampling a different distribution

**schedule your test appointment**
with the Computer-Based Testing Facility at this link.
This examlet is now available for scheduling.

Find out more about the testing facility, such as:

- where it is
- when to show up
- what to bring (and not to bring)

The exam will be 110 minutes in length, and it will cover the material of the first four lectures.

Quiz: Error in Taylor series approximation (Quiz 5)

- (Section M) Taylor Remainder Theorem
- (Section M) Using polynomial models: Computing $\pi$ using Taylor
- Intro to Interpolation
- Truncation error in Interpolation

Quiz: Taylor Series and Python (Quiz 4)

- Taylor series: error
- Computational experiments on Taylor truncation error
- Taylor truncation in Big-O
- (Section N) Taylor Remainder Theorem
- (Section N) Using polynomial models: Computing $\pi$ using Taylor

Quiz: Big O and Python (Quiz 3)

- More Numpy
- Taylor series: Derivation
- Taylor series: Shifting the center
- Using
`sympy`

to derive Taylor series - Computational experiments with Taylor series

- Big-O Notation
- Python
- Numpy
- Intro: Building Models with Polynomials

- Introduction
- Class Policies
- Numerical Experiments