| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| The aim of this course is to equip you with the best skill for solving your own statistical problems/projects with C++ and R programming provided that you study hard during the whole semester. |
|
|
| Networking / Distance Education |
| Discussion |
| Lecturing |
|
| Quiz |
| Oral Presentation |
| Assignment |
| Written Presentation |
| Attendance |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
I will focus on C++ during the 1st week to the 9th week.
Week1: Introduction
|
| Week 2 |
Week2: Data, variables, and calculations |
| Week 3 |
Week3: Decisions and loops |
| Week 4 |
Week4 & 5: Functions |
| Week 5 |
Week4 & 5: 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 variates |
| Week 14 |
⚠️‼️12月11號(三)晚上6:30~9:00安排期中考（上機考試），本週不上課 |
| Week 15 |
🗣️期末口頭報告(開始日期將依修課人數調整) |
| Week 16 |
🗣️期末口頭報告
📚自主學習週(期末書面報告製作與整理)
📚自主學習週(期末書面報告製作與整理) |
self-directed
learning |
|
|
| Evaluation |
Miscellanea (including homework, mini projects, quizzes, class presence etc.): 30\% (without a fixed schedule)
Midterm exam ({about the 14th week}): 35\%
Final project (viva voce and written): 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 |
|