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WEO – PhDC02

Data Analysis

Course code: WEO – PhDC02

Credits points (ECTS): 3

Lecturer in charge: Dr. Pham Le Anh

Description of the course:
This course carries 3 ECTS and is intended to give students the background to use advanced statistical techniques needed for environmental studies. The courses will help students develop their analytical and critical thinking abilities, especially in applications to data. Students will also learn to use statistical software R for analyzing environmental data.

Objectives of the course:
At the end of this course, students should be able to:
  • Understanding the basic concepts and principles for efficient data analysis;
  • Know how to use the R software as well as Microsoft Excel for data analysis;
  • Understand and be able to extract useful information from the analysis results;

Gradings:

 – Assignment 40%
 – Final exam 60%

Contents of the course:

  1. Descriptive Statistics
  2. Significance tests
  3. Analysis of variances
  4. Relationship
  5. Principal Component Analysis
  6. Time Series Analysis

Contact: Dr. Pham Le Anh, email: pham-le.anh@usth.edu.vn, or by appointment.

 

Chia sẻ
New scientific publications
  1. Thi Tuyet Hong VU, et al., A Practical Approach to Launch the Low-Cost Monitoring Platforms for Nearly Net-Zero Energy Buildings in Vietnam, Energies 2022, 15(13), 4924, (SCIE)
  2. Dang B. Tran, Tung H. To, Phong D. Tran, Mo-and W-molecular catalysts for the H2 evolution, CO2 reduction and N2  fixation,  Coordination Chemistry Reviews, Volume 457, 2022, 214400, (SCIE)
  3. Nguyen, T.H, et al., Insights into the genetics of the Zhonghua 11 resistance to Meloidogyne graminicola and its molecular determinism in rice, Front. Plant Sci., (2022) 13:854961, (SCIE)
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