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ELEMENTS OF REAL ANALYSIS Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
Basic notions of differential and integral calculus.
Objectives
Contents Linear algebra. Quadratic forms. Optimization.
Extended Syllabus Linear algebra and quadratic forms.
Optimization of functions of two variables.
Basic probability theory. Conditioned probability. Bayes theorem. Independence. Bernoulli schemes. Discrete random variables. Binomial distribution. Absolutely continuous random variables. Densities. Gaussian distributions. Expectation. Variance. Covariance. Behaviour under sum. Law of Large Numbers. Central Limit Theorem.
Recommended Bibliography T. Apostol, Calculus vol 2 (second edition)
Teaching Methods At least 48 hours of lectures and exercise sections.
Evaluation methods Verification of learning:
Both written and oral examinations.
Contacts/More Information Weekly office hours will be held. Please consult the official web page for precise information.