Math 3332: Probability (Fall 2021)
General Information
Instructor: Mikhail Lavrov
Location: Crawford Lab 154.
Lecture times: 3:30pm-4:45pm on Monday and Wednesday.
Textbook: Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik, available online at https://www.probabilitycourse.com/.
Office hours: 2:15pm to 3:15pm on Monday and Wednesday, in my office - Mathematics 245. (Also, feel free to ask me questions after class ends.)
D2L page: https://kennesaw.view.usg.edu/d2l/home/2394321.
More information is available on D2L, where I will post the syllabus, homework assignments, and more.
Homework and Exams
There will be eight homework assignments, two midterm exams, and one final exam; the dates are marked below.
I will post the homework assignments here and on D2L; they are always due on Friday at 11:59pm, via D2L.
Exams will be given in person during our ordinary 75-minute class period. (At least that's the current plan. I will update this schedule and send the class an email if the plan changes.)
Detailed Schedule
See also the schedule from last semester.
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DateTextbook sectionOther details
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Mon 8/161.3.1-1.3.2 Random experiments
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Wed 8/181.3.3 Finding Probabilities
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Mon 8/231.3.4-1.3.5 Discrete, Continuous Models
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Wed 8/251.4 Conditional ProbabilityHW 1 due Friday
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Mon 8/301.4.2 Law of Total Probability
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Wed 9/11.4.3 Bayes' Rule
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Mon 9/6No class
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Wed 9/811.2 Discrete-Time Markov ChainsHW 2 due Friday
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Mon 9/132.1.1-2 Ordered Sampling
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Wed 9/152.1.3 Unordered without Replacement
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Mon 9/202.1.4 Unordered with Replacement
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Wed 9/223.1 Random VariablesHW 3 due Friday
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Mon 9/27Exam 1
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Wed 9/293.2.2 Expectation
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Mon 10/43.1.5 Special Distributions
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Wed 10/63.2.3 Functions of Random VariablesHW 4 due Friday
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Mon 10/113.2.4 Variance
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Wed 10/135.1 Two Discrete Random Variables
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Mon 10/185.1.3 Conditioning and Independence
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Wed 10/205.3.1 Covariance and CorrelationHW 5 due Friday
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Mon 10/256.1.3 Moment Generating Functions
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Wed 10/276.2 Probability Bounds
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Mon 11/1Exam 2
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Wed 11/34.1 Continuous Random VariablesHW 6 due Friday
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Mon 11/84.1.1 Probability Density Function
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Wed 11/104.1.2 Expected Value and Variance
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Mon 11/154.1.3 Functions of Random Variables
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Wed 11/174.3 Mixed Random VariablesHW 7 due Friday
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Mon 11/22No class
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Wed 11/24No class
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Mon 11/295.2 Two Continuous Random Variables
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Wed 12/15.2.3 Conditioning and Independence
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Mon 12/611.1 Poisson processesHW 8 due Monday
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Wed 12/8No classStudy!
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Mon 12/13Final Exam (3:30-5:30pm)