Serial Number
43183
Course Number
STAT5008
Course Identifier
250 U0080
No Class
- 3 Credits
Elective
Institute of Applied Mathematical Sciences / Institute of Statistics and Data Science
Institute of Applied Mathematical Sciences
Institute of Statistics and Data Science
Elective- YU-TING CHEN
- View Courses Offered by Instructor
COLLEGE OF SCIENCE Institute of Statistics and Data Science
- Fri 2, 3, 4
新501
Type 2
30 Student Quota
NTU 30
No Specialization Program
- Chinese
- NTU COOL
- Core Capabilities and Curriculum Planning
- Notes
- Limits on Course Adding / Dropping
Restriction: within this department (including students taking minor and dual degree program)
NTU Enrollment Status
Enrolled0/30Other Depts0/0Remaining0Registered0- Course DescriptionThis course is designed to provide students with fundamental concepts underlying the multivariate techniques and help students develop the statistical skills to approach and analyze multivariate data correctly.
- Course ObjectiveOn completion of this course, students should be able to: 1. select appropriate methods of multivariate data analysis; 2. implement software programs to carry out multivariate data analysis; 3. give meaningful interpretations on the analysis results.
- Course RequirementLinear algebra, probability, mathematical statistics, and linear regression. Basic computer programming knowledge is also required.
- Expected weekly study hours before and/or after class
- Office Hour
- Designated Reading
- ReferencesJohnson, R. A., & Wichern, D. W. (2014) Applied multivariate statistical analysis (6th Edition), Pearson Prentice Hall. Izenman, A. J. (2008) Modern multivariate statistical techniques, Springer.
- Grading
- NTU has not set an upper limit on the percentage of A+ grades.
- NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section。
- Adjustment methods for students
- Make-up Class Information
- Course Schedule