For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| RES7001 | Engineering of Smart Membrane Process | 3 | 6 | Major | Bachelor/Master/Doctor | Global Smart City | Korean | Yes | |
| In this class, the basic concept of the membrane process and management will be taught by general instruction. Students can understand the type of membrane process (MF, UF, RO and FO, etc.), process configuration, removal mechanism by the membrane, management technique, pretreatment, and furthermore, the operation of the smart membrane process through monitoring and automatical systems. Students can apply the konwledge learned through this class to the design and operation smart membrane process. | |||||||||
| STA5014 | Survival Analysis | 3 | 6 | Major | Master/Doctor | 1-4 | Statistics | - | No |
| The objective is to present basic material necessary for an understanding of the theory of analysis of failure time data as it applies to randomly right censored data. Emphasis is on biostatistical applications of survival analysis techniques. It covers survival distribution and hazard rate; Kaplan-Meier estimator for survival distribution and Greenwood's formula; log-rank tests; regression models, including accelerated failure time and proportional hazards; partial likelihood; diagnostics. | |||||||||
| STA5024 | Statistical Inferences | 3 | 6 | Major | Master/Doctor | 1-4 | Statistics | Korean | Yes |
| Advanced topics for statistical inferences including theories of estimation and hypotheses test which are necessary in statistical decision making are studied. Concepts of the point and interval estimations, and some methods to obtain the minimum variance unbiased estimator are also explained based on various properties of point estimators, Moreover, most powerful test, generalized likelihood ratio test, goodness-of-fit test, sequential likelihood ratio tests, and nonparametric estimation are discussed. | |||||||||
| STA5031 | Design and Analysis of Experiments | 3 | 6 | Major | Master/Doctor | 1-4 | Statistics | - | No |
| Construction and analysis of multifactor designs, factorials, fractional factorials, balanced incomplete block designs, Latin squares, orthogonal arrays of strength d and response surface designs. Fractionating mixed level factorials, confounding and blocking techniques, study of robustness of designs to loss of design point. | |||||||||