BME 200 - Final Exam Instructional Objectives

Exam Date: 8:00 AM Monday, Nov. 23

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:

Matlab

  1. Write the command(s) to define a variable as another variable, single number, range of numbers in Matlab.
  2. Performa calculations on lists of nubmers.
  3. Write the command(s) for calculating an equation in Matlab.
  4. Write the function plot(x,y) with proper variables for plotting data in Matlab.

Mass Balances

  1. Define system, system boundary, open system, closed system, control volume, half-life, rate constant, and lumped model.
  2. Determine the appropriate control volume for a system.
  3. Derive the mass balance equation for a system.
  4. Solve problems using a mass balance.
  5. Calculate the concentration, rate constant, or half-life of a tracer molecule or drug.
  6. List the three assumptions about a compartment.
  7. Explain when a single compartment model versus two-compartment model is appropriate in pharmacokinetics.
  8. Calculate the concentration of a drug over time in a single-compartment model given a single dose or multiple doses.
  9. Calculate the minimum, maximum, and average concentration of a drug in a single-compartment model.
  10. Calculate the concentration of a drug over time in a two-compartment model given a single dose or multiple doses.

Bioinstrumentation

  1. Given two of voltage, current, resistance, use Ohm’s law to find the third.
  2. Use Kirchhoff’s current law to analyze circuits.
  3. Use Kirchhoff’s voltage law to analyze circuits.
  4. Combine resistors in series and parallel.
  5. Calculate the change in resistance of a resistance temperature detector (RTD).
  6. Use the thermistor equation to calculate temperature, resistance, or \(\beta\).
  7. Calculate transmittance and absorbance.
  8. Use the Beer-Lambert law to find concentration, intensity, (molar extinction coefficient), or path length.

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.

Solidworks

  1. Explain the difference between extruded boss/base and extruded cut.
  2. Define fillet.
  3. Explain the difference between a load and a fixture.
  4. Explain what the colors mean when interpreting the stress results.
  5. Explain what shapes could be used to create a simple part.

Last updated on Nov 16, 2020