Math 104 - Introduction to Probability

Course Coordinator

Mark Hunacek (

Catalog Description

MATH 104. Introduction to Probability
(3-0) Cr. 3. F.S.SS. Prereq: Satisfactory performance on placement exam, 2 years of high school algebra, 1 year of high school geometry
Permutations, combinations, probability, binomial and multinomial theorems, expected value, and applications. Either MATH 104 or MATH 150 may be counted toward graduation, but not both.


book coverAngel
Basic Probability
ISU Custom Edition
ISBN: 9781269234993


  1. Basic language and results of probability: sample spaces, events, odds. (Sections 1, 2 and 3)
  2. Expected value. (Section 4)
  3. Roulette probabilities and expectation, a roulette strategy and its flaws. (Supplemental Notes; problems 57 and 58 in section 4)
  4. Tree diagrams, conditional probablitity, compound events. (Sections 5 – 7)
  5. Discussion and mathematical analysis of the dice game Craps. (Supplemental Notes)
  6. Introduction to basic combinatorics (Sections 8- 10)
  7. Using basic combinatorics to help analyze the probabilities associated with poker (Supplemental Notes)
  8. Using basic combinatorics to help analyze the probabilities associated with Lotteries. (Supplemental notes)
  9. Using basic combinatorics to help analyze the probabilities associated with Blackjack (Supplemental Notes)
  10. (Time permitting) Backgammon (Supplemental Notes)


Basic Rules of Discrete Probability

  • Understand the concept of “sample space” and be able to construct sample spaces for simple experiments
  • Understand the definition of “probability” in the case where all outcomes are equally likely
  • Understand and be able to apply the basic rules for probability: the union, intersection and complement of an event
  • Understand the concept of “conditional probability” and be able to compute the conditional probability of simple events
  • Understand the significance of tree diagrams when computing conditional probability
  • Understand the concept of independent events
  • To have some exposure to real-life cases (e.g., court decisions) where the concept of independent events was misapplied
  • To understand the concept of “expected value” and be able to compute the expected value in cases where the outcomes of an experiment, and their probabilities, are known
  • To have some idea of how “expected value” is applied in certain real-life situations, including insurance policies and other forms of risk-taking

Basic Principles of Combinatorics

  • To understand the meaning of combinations and permutations, and the difference between these ideas
  • To know the definition of the binomial coefficients and to be able to compute simple examples of them
  • To use the concept of combinations and permutations to solve simple counting problems

Applications to Games and Gambling

  • To understand the basic rules and bets for poker (video, Texas Hold Em, and other variants) and to be able to compute the probabilities of the various hands
  • To understand the basic rules of the game of Blackjack, to be able to compute simple probabilities associated with the game, and to understand the mathematics behind “card counting”
  • To understand the basic rules of roulette, to be able to analyze the various bets using the concept of expected value, to understand why there is no such thing as a perfect “system” for winning this and other gambling games, to understand why European roulette (with no 00) is a better bet for the gambler than is American roulette
  • To understand the rules of some of the various lottery games, including Powerball, and to be able to compute the probability of winning the jackpot, and to be able to appreciate why lottery tickets are such poor bets
  • To understand the rules of Backgammon and to be able to use probability to determine the best moves in certain situations
  • To apply conditional probability to analyze and understand the game of craps
  • To use probability to analyze other games, including, for example, Farkle, Keno or Chuck-a-Luck

Old Exams

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