| Course Name |
(中) 統計軟體與計算(6067) |
| (Eng.) Statistical Software and Computing |
| Offering Dept |
Graduate Institute of Statistics |
| Course Type |
Elective |
Credits |
3 |
Teacher |
沈宗荏 |
| Department |
Graduate Institute of Statistics/Graduate |
Language |
English |
Semester |
2026-FALL |
| Course Description |
This course introduces two programming languages, C++ and R, for statistical computing. C++ is used to help students develop fundamental programming logic, algorithmic thinking, and an understanding of how computational procedures are constructed. Building on this foundation, students will learn to use R efficiently for statistical simulation, data analysis, and research-oriented projects.
By the end of the semester, students should be able to apply the programming and statistical computing skills acquired in the course to complete a final project. In particular, they will reproduce, evaluate, or extend the simulation studies and data analyses presented in a selected research paper. |
| Prerequisites |
|
self-directed learning in the course |
Y |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
This course aims to equip you with the programming and computational skills needed to solve statistical problems and conduct independent projects using C++ and R. Students are expected to have completed undergraduate-level courses in Calculus, Probability, and Mathematical Statistics. Through consistent study and active engagement throughout the semester, you will develop the ability to select, implement, and evaluate appropriate statistical methods independently.
|
| 1.Statistical Thinking and Logic |
| 3.Statistical Computing and Simulation Study |
|
|
| Other |
| Networking/Distance Education |
| Discussion |
| Lecturing |
|
| Quiz |
| Oral Presentation |
| Assignment |
| Written Presentation |
| Attendance |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
‼️👨🏫 Classes will be suspended on Monday, September 7, and Wednesday, September 9, because I will be attending an international conference. The three missed class periods will be made up from 18:30 to 21:00 on Thursday, December 3, 2026, when the midterm examination will be held.
◼︎ The first class will proceed as scheduled. The teaching assistant will also make several important announcements about the course, so please be sure to attend. |
| Week 2 |
I will focus on C++ from Week 2 to Week 9.
Week2: Introduction and course overview
|
| Week 3 |
Week3: Data, variables, and calculations
|
| Week 4 |
Week4: Decisions and loops
|
| Week 5 |
Week: Functions
|
| Week 6 |
Week6: Applications: Stochastic models
|
| Week 7 |
Week7: Arrays, strings, and pointers
|
| Week 8 |
Week8: IO and file IO |
| Week 9 |
Week9: Defining your own data type |
| Week 10 |
Week10: Introduction to using R |
| Week 11 |
Week11: Univariate data; Bivariate data; Random data |
| Week 12 |
Week12:Elementary simulations; R Data Structures; |
| Week 13 |
Week13: Various methods for generating random variables
‼️ 12/3 (Thursday) 18:30-21:00 Midterm Exam (I will run our classes as usual this week; please be present in class.) |
| Week 14 |
Week14: Various methods for generating random variables
‼️👨🏫 12/9 (Wednesday) will be a day off from class because I need to attend another international conference. However, these two classes will be held in another day, which will be announced later. |
| Week 15 |
🗣️Oral presentations of the final projects. The presentation schedule and start date will be determined based on the number of students enrolled in the course.
|
| Week 16 |
🗣️Oral presentations of the final projects.
1. Revise your final project report in response to the comments and suggestions received during your presentation.
2. Finalize the written report and upload it to the iLearning system.
|
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
03.Preparing presentations or reports related to industry and academia.
05.Participation in various workshops organized by different departments of NCHU.
|
|
| Evaluation |
✏️ Assessment
❏ Miscellaneous coursework, including homework assignments, mini-projects, quizzes, and class attendance: 30%
(No fixed schedule)
❏ Midterm examination, tentatively scheduled for approximately Week 13: 35%
❏ Final project, including an oral presentation and a written report: 35%
|
| Textbook & other References |
📙 Simulation, 4th Edition, by Sheldon M. Ross, Academic Press.
📙 C++ programming: Ivor Horton’s Beginning Visual C++ 2013, by Ivor Horton, Wiley
|
| Teaching Aids & Teacher's Website |
| 🛜 iLearning |
| Office Hours |
| ⏰ TBA |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
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