NCKU Curriculum Map
1. 2.
3.
BIOSTATISTICS

This class aims to discuss three major topics of fundamental biostatistics: data description, probability laws and statistical inferences. The data description includes numeric measures of centrality, variation and percentiles, tabulation and graphical display of data. The probability laws include axioms of probability, sample space and events, law of addition, law of multiplication and conditional probability and Bayes rule, and etc. The statistical inferences cover the concepts of sampling distribution, interval estimation and hypothesis testing.

Course Goal
A. Train benevolent and excellent medical laboratory scientist.
B. Train benevolent and excellent biotechnological experts.
Course Principle Literacy and Competence
[Competence]
  • Competence in medical laboratory Science
  • Professionalism
  • Ability of thinking and decision-making
  • Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0108/2 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0107/2 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0106/2 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0105/2 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0104/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi,Li, Chung-Yi
    0104/2 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0103/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0102/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0101/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0100/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi
    0099/1 I322000 [MLSB2112]BIOSTATISTICS 2.0 N Wang, Liang-Yi