Course Outcome
- (Remembering) Recall the principle of counting and describe random and non-random experiments.
- (Understanding) Understand basic concepts of probability, sample spaces, event types, random variables, and probability distributions.
- (Applying) Apply probability theory and probability distributions to real-life scenarios and data analysis problems.
- (Analyzing) Analyze conditional probability, independence of events, and apply Bayes’ theorem to solve problems.
- (Evaluating) Evaluate situations to identify random variables and determine appropriate probability distributions.
- (Creating) Develop the ability to interpret and communicate probability and statistical outcomes effectively.
