Graduate
Classification : Requisite Class Number : 326.513 Credit : 3 Grade : Graduate School
This course deals with probability measurement theory, basics of integration, random variables, independence, various modes of convergence of random variables, random series, law of large numbers, convergence in distribution, characteristic functions and central limit theorems.
Classification : Elective Class Number : 326.516 Credit : 3 Grade : Graduate School
This course deals with conditional expectation, martingales, ergodic theorem, infinite divisibility, stabe distribution and general central limit problems.
Classification : Requisite Class Number : 326.519A Credit : 3 Grade : Graduate School
Classification : Requisite Class Number : 326.520A Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.001300 Credit : 3 Grade : Graduate School
In this course, we study the theory of Bayesian statistics. In particular, we study constructions of noninformative priors, non-parametric Bayesian statistics, Bayesian asymptotics, and the theory for Bayesian computation.
Classification : Elective Class Number : 326.729A Credit : 3 Grade : Graduate School
This course covers weak convergence of sequence of probability measures on metric spaces, specially on C-space and D-space.
Classification : Elective Class Number : 326.748A Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.000400 Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.000500 Credit : 3 Grade : Graduate School
Classification : Reading and research Class Number : 326.803 Credit : 3 Grade : Graduate School
Classification : Requisite Class Number : M0000.008700 Credit : 1 Grade : Graduate School
Classification : Requisite Class Number : M0000.008800 Credit : 1 Grade : Graduate School
Classification : Requisite Class Number : M1399.000800 Credit : 3 Grade : Graduate School
Classification : Requisite Class Number : M1399.001000 Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.001100 Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.001200 Credit : 3 Grade : Graduate School
Classification : Elective Class Number : M1399.001600 Credit : 3 Grade : Graduate School
This course is a hands-on semester course that enables students to acquire the knowledge, skills, and attitudes necessary for the industry career in the future. Students will experience the application methods and status of data analytics knowledge acquired through hands-on practical training to set up a career path. Practical training is conducted on a full-time basis for more than 4 weeks, and training institutions are limited to institutes that have contracted with Seoul National University. This course can be taken only for graduate students who have completed one semester or more. This course cannot be taken in the semester, when the student is planning to graduate. In addition, other courses cannot be taken when taking this course.
Classification : Elective Class Number : M1399.001700 Credit : 3 Grade : Graduate School