校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

數值軟體開發(英文授課)

Numerical Software Development

學期
110-2
學分
3 學分
當期課號
5292
永久課號
IDS5008
開課單位
數據科學與工程研究所碩士班
授課教師
陳永昱
校區
光復
類別
選修
上課時間表
週一
Z
07:00–07:50
數值軟體開發(英文授課)
EC114
3 節連堂
1
08:00–08:50
2
09:00–09:50

* 根據陽明交大上課時間表所列

概述

The course introduces the art of building numerical software, i.e., computer programs applying numerical methods for solving mathematical, scientfic, or engineering problems. We will be using Python, C++ and other tools (e.g., bash, git, make, etc.) to learn the modern development processes. By completing this course, students will acquire the fundamental skills for developing modern numerical software. Check course notes for details: https://yyc.solvcon.net/en/latest/nsd/ .

先修科目

Students should have taken computer architecture and engineering mathematics or equivalents. Working knowledge of Linux and Unix-like is required. Prior knowledge to numerical methods is recommended. The instructor uses English in the lectures and discussions.

教學方式

The instructor will use English. It is OK for students to use Mandarin in the class, but English is preferred. Computer program for homework and project should be developed against the latest Ubuntu LTS system.

評分方式

* You are expected to learn programming languages yourself. Python is easy, but C++ may be challenging. Students are encouraged to form study groups for practicing C++, and discuss with the instructor and/or the teaching assistant. * Grading: homework 30%, mid-term exam: 30%, term project: 40%. * There are 12 lectures for the subjects of numerical software developing using Python and C++. * There will be 6 homework assignments for you to exercise. Programming in Python and/or C++ is required. * Mid-term examination will be conducted to assess students' understandings to the analytical materials. * Term project will be used to assess students' overall coding skills. Presentation is required. Failure to present results in 0 point for this part.

課程大綱
  • Introduction
  • Fundamental engineering
  • Python and numpy
  • C++ and computer architecture
  • Matrix operations
  • Cache optimization
  • SIMD (vector processing)
  • Memory management
  • Ownership and smart pointers
  • Modern C++
  • C++ and C for Python
  • Array code in C++
  • Advanced Python
週次計畫
週次主題
第 1 週Introduction and Unit 1: Fundamental Engineering (assignment #1)
第 2 週Unit 2: Python and Numpy (proposal open)
第 3 週No meeting (228 memorial)
第 4 週Unit 3: C++ and Computer Architecture (assignment #2)
第 5 週Unit 4: Matrix Operations
第 6 週Unit 5: Cache Optimization (assignment #3)
第 7 週Unit 6: SIMD (Vector Processing)
第 8 週No meeting (children's day) (proposal due)
第 9 週Mid-term examination
第 10 週Unit 7: Memory Management (assignment #4)
第 11 週Unit 8: Ownership and Smart Pointers
第 12 週Unit 9: Modern C++ (assignment #5)
第 13 週Unit 10: C++ and C for Python
第 14 週Unit 11: Array Code in C++ (assignment #6)
第 15 週Unit 12: Advanced Python
第 16 週Project presentation 1
第 17 週Project presentation 2 or TBD
第 18 週Project presentation 3 or TBD
教科書

Textbook: None References: * Computer Systems: A Programmer's Perspective: https://csapp.cs.cmu.edu/ * Python documentation: https://docs.python.org/3/ * Cppreference: https://en.cppreference.com/ * Effective Modern C++, Scott Meyer, O'Reilly, 2014 * Source code: cpython, numpy, xtensor, and pybind11

Office Hours
地點
By appointment
時間
N/A
聯絡方式
Send email to yyc at solvcon.net, with "[nsd-course]" prefix in the subject line.