Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. Understand basic theory of statistics
2. Apply statistics to the real life
3. Get familiar with EXCEL for the statistical analysis. |
|
|
Networking/Distance Education |
Exercises |
Discussion |
Lecturing |
|
|
Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
Syllabus and the introduction for statistics
|
Week 2 |
data and statistics (Ch1) |
Week 3 |
descriptive statistics: tabular and graph displays (Ch2) |
Week 4 |
descriptive statistics: numerical measures (Ch3) |
Week 5 |
Introduction to probability (Ch4) |
Week 6 |
discrete probability distribution (Ch5) |
Week 7 |
discrete probability distribution (Ch5) |
Week 8 |
Midterm |
Week 9 |
continuous probability distribution (Ch6) |
Week 10 |
continuous probability distribution (Ch6) |
Week 11 |
sampling and sampling distribution (Ch7) |
Week 12 |
sampling and sampling distribution (Ch7) |
Week 13 |
interval Estimation (Ch8) |
Week 14 |
interval Estimation (Ch8) |
Week 15 |
interval Estimation (Ch8) |
Week 16 |
Final exam
|
self-directed learning |
   01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.    02.Viewing multimedia materials related to industry and academia.
|
|
Evaluation |
Midterm 50%
Final Exam 50% |
Textbook & other References |
Essentials of Statistics for Business & Economics 10e
Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney, Williams
統計學 方法與應用,林惠玲、陳正倉,雙葉書廊第五版(Recommended) |
Teaching Aids & Teacher's Website |
ilearning |
Office Hours |
By Appointment. |
Sustainable Development Goals, SDGs(Link URL) |
04.Quality Education   05.Gender Equality | include experience courses:N |
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