Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available

You've viewed 2/5 programs/universities. You can view up to 5 programs/universities

Create a free account to unlock full content!

By registering, you agree to our Privacy Statement and Terms and Conditions.

Details
Program Details
Degree
Masters
Major
Applied Mathematics | Mathematics | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


Program Overview

The program is titled "工程數學特論" (Engineering Mathematics Special Topics) and is offered in the 112-2 semester.


Program Details

  • Course Number: CommE5055
  • Course ID: 942 U0690
  • Credits: 3
  • Type: Elective
  • Department: Institute of Electrical Engineering / Institute of Communications Engineering
  • Instructor: 丁建均 (Ding Jianjun)
  • Teaching Assistant: None
  • Class Schedule: Tuesday, 7-9 pm
  • Classroom: 明達205 (Mingda 205)
  • Enrollment Limit: No limit, direct online registration
  • Total Enrollment: 100 students (76 from NTU, 24 from other universities)

Course Description

This course introduces advanced topics in differential equations, Fourier transforms, linear algebra, probability, and statistics, with a focus on signal processing, filter design, optimization, and machine learning.


Course Objectives

The course aims to provide students with a solid mathematical foundation for advanced research in engineering, bridging the gap between undergraduate and graduate studies.


Course Requirements

  • No specific requirements are listed.

Evaluation Method

  • No specific evaluation method is listed.

Course Schedule

The course schedule is as follows:


  • Week 1: Introduction, Numerical Methods
  • Week 2: Nonlinear DE, Partial Differential Equations
  • Week 3: Partial Differential Equations
  • Week 4: Partial Differential Equations for Polar, Cylindrical, and Spherical Coordinates
  • Week 5: Partial Differential Equations by Transform Methods
  • Week 6: Function Approximation
  • Week 7: Fourier Transform
  • Week 8: Fourier Transform
  • Week 9: Discrete Fourier Transform
  • Week 10: Probability
  • Week 11: Entropy and Random Process
  • Week 12: Advanced Linear Algebra
  • Week 13: Advanced Linear Algebra
  • Week 14: Advanced Linear Algebra
  • Week 15: Advanced Linear Algebra

Additional Information

  • The course is taught in Chinese.
  • The course is available on NTU COOL.
  • The course is related to the core abilities and course planning of the university.
  • The course is co-taught with 劉俊麟 (Liu Junlin).
See More