BME 200 - Exam 2 Instructional Objectives

Exam Date: 10/29/20

These instructional objectives provide you with a guide for learning the course material. I will provide a comprehensive forumla sheet with the exam. During the examination you should be able to:

Bioinformatics

  1. Create a mathematical model of a single neuron (perceptron).
  2. Calculate output from a single neuron.
  3. Given a neuron, determine the equation for a line that separates two classes of inputs.
  4. Distinguish between linearly and non-linearly separable data.
  5. Describe how a neural network can classify non-linearly separable data.

Bioimaging

  1. Given two of wavelength, speed of light, and frequency, calculate the third.
  2. Calculate the energy or frequency associated with electromagnetic radiation, calculate the other.
  3. Calculate one of number of transmitted x-rays, number of incident x-rays, tissue linear attenuation, and tissue thickness, given all others.
  4. Calculate the half-layer value of tissue.
  5. Explain how x-rays can produce medical images.
  6. Explain how ultrasound can produce images.
  7. Calculate the time required for an ultrasound signal to travel through one or more tissues.
  8. Explain how ultrasound can estimate blood velocity.
  9. Given two of speed of sound in tissue, tissue thickness, and time, calculate the third.
  10. Calculate one of speed of sound in blood, frequency change, initial frequency of transmitted signal, velocity of blood flow, and transducer angle, given all others.
  11. Explain how a bitmapped image is represented inside a computer.
  12. Describe how an image filter works.
  13. Calculate spatial resolution from an image.
  14. Calculate a new pixel value given a kernel.

Statistics

  1. Define probability.
  2. Define true negative, true positive, false negative, false positive.
  3. Define prevalence, sensitivity, specificity, positive predictive value, negative predictive value.
  4. Use conditional probability to evaluate the odds a medical test is correct.
  5. Calculate the mean, variance, and standard deviation of data.
  6. Calculate the probability of an observation in a normal distribution.
  7. Calculate the percentile of an observation, or an observation given a percentile, in a normal distribution.
  8. Use hypothesis testing to compare two independent means.

Last updated on Oct 27, 2020