Teaching | Gyumin Lee

Introduction to Statistics

Sun, 01 Sep 2024 00:00:00 +0000

Instructor: Professor Mijung Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Probability and Statistics for Engineers and Scientists” by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying E. Ye

Topics: Descriptive statistics & graphical diagnostics, probability & random variables (discrete and continuous), sampling & sampling distribution, one- and two-sample estimation, one- and two-sample tests of hypotheses

Assessment: Online/Offline class attendance (9%) + Weekly ALEKS assignment (21%) + Midterm (35%) + Final (35%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Mathematical Statistics II

Sun, 01 Sep 2024 00:00:00 +0000

Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Introduction to Mathematical Statistics” by Robert V. Hogg

Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.

Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Mathematical Statistics II

Sat, 02 Mar 2024 00:00:00 +0000

Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Introduction to Mathematical Statistics” by Robert V. Hogg

Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.

Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Introduction to Statistics

Fri, 01 Sep 2023 00:00:00 +0000

Instructor: Professor Mijung Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Probability and Statistics for Engineers and Scientists” by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying E. Ye

Assessment: Online/Offline class attendance (9%) + Weekly ALEKS assignment (21%) + Midterm (35%) + Final (35%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Mathematical Statistics II

Fri, 01 Sep 2023 00:00:00 +0000

Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Introduction to Mathematical Statistics” by Robert V. Hogg

Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.

Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Machine Learning/AI-Based Research Methodologies in Child and Family Studies

Wed, 23 Aug 2023 00:00:00 +0000

Instructor: Professor Wonkyung Jang (Dept. Instructional Leadership and Academic Curriculum, The University of Oklahoma)

Textbook: Lecture notes

Topics: Introduction to Data Science and R Programming (Importance and concepts of data science, Introduction to the R programming language, its basic syntax, and RStudio environment setup. Understanding data types, variables, and data structures, Overview of data visualization algorithms, Statistical pitfalls in social sciences: Common errors and strategies to avoid them. Hands-on practice with basic statistical methods (e.g., T-test, ANOVA, Regression) using R), Machine Learning/AI Techniques for Structured and Unstructured Data (Introduction to supervised and unsupervised learning methodologies, Overview of text mining: Text preprocessing and natural language processing techniques. Hands-on machine learning practice using R, focusing on U.S. child and family studies datasets)

For Students: Before the first session, it is recommended to install the data science program R (https://cran.yu.ac.kr/) and RStudio (https://posit.co/download/rstudio-desktop/).

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Mathematical Statistics II

Thu, 02 Mar 2023 00:00:00 +0000

Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)

Textbook: “Introduction to Mathematical Statistics” by Robert V. Hogg

Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.

Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)

For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Mathematical Statistics I

Thu, 01 Sep 2022 00:00:00 +0000

Instructor: Professor Yongho Jeon (Dept. of Applied Statistics, Yonsei University)

Textbook: “Introduction to Mathematical Statistics” by Robert V. Hogg

Topics: (Chapter 1 ~ Chapter 4) Probability and distributions, multivariate distributions, exponential family, mixture distributions, order statistics, statistical inference, convergence

Assessment: Online/Offline class attendance (5%) + Exam 1 (20%) + Exam 2 (25%) + Exam 3 (25%)+ Exam 4 (25%)

For Tutees: The class will be structured to include a review of the week’s content followed by solving related exercises. If there are any specific topics or issues you’d like to discuss, please let me know at least a day in advance.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.

Survival Data Analysis

Thu, 01 Sep 2022 00:00:00 +0000

Instructor: Professor Sangwook Kang (Dept. of Applied Statistics, Yonsei University)

Textbook: Lecture notes

Topics: Censoring & truncation, distributions used in survival analysis, parametric statistical analysis, Kaplan-Meier estimator of survival function, estimation of hazard function, logrank test, accelerated failure time/ proportional hazards / proportional odds model, cox regression models & model diagnostics

Assessment: Class attendance (5%) + Course project (10%) + Assignments (25%) + Midterm (30%)+ Final (30%)

For Tutees: The class will be structured to include a review of the week’s content followed by solving related exercises. Additionally, we will practice applying new methodologies using the R program, so please make sure to bring your laptop. If there are any specific topics or issues you’d like to discuss, please let me know at least a day in advance.

If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.