Course Objectives
•To be able to understand and calculate random variables and probability distribution.
•To be able to understand and calculate discrete/continuous probability distributions.
•To be able to understand and calculate normal distributions.
•To be able to understand and calculate statistics and sample distributions.
•To be able to understand and calculate various probability distributions.
Rubric
| Ideal Level of Achievement (Very Good) | Standard Level of Achievement (Good) | Unacceptable Level of Achievement (Fail) |
Can understand and calculate discrete/continuous probability distributions. | Can understand and accurately and swiftly calculate discrete/continuous probability distributions. | Can understand and calculate discrete/continuous probability distributions. | Cannot understand or calculate discrete/continuous probability distributions. |
Can understand and calculate normal distributions. | Can understand and accurately and swiftly calculate normal distributions. | Can understand and calculate normal distributions. | Cannot understand or calculate normal distributions. |
Can understand and calculate statistics and sample distributions. | Can understand and accurately and swiftly calculate statistics and sample distributions. | Can understand and calculate statistics and sample distributions. | Cannot understand or calculate statistics and sample distributions. |
Can understand and calculate various probability distributions. | Can understand and accurately and swiftly calculate various probability distributions. | Can understand and calculate various probability distributions. | Cannot understand or calculate various probability distributions. |
Assigned Department Objectives
Learning and Educational Objectives of the “General Engineering” A-5
See
Hide
JABEE 1(2)(c)
See
Hide
Diploma policy 3
See
Hide
Teaching Method
Outline:
To understand the meaning of various distributions in statistics, particularly discrete binomial distribution and continuous normal distribution.
To understand the meaning of sample distribution and population distribution.
To understand the meaning of X^2 (chi-squared) distribution, T-distribution and F-distribution, which are derived from normal distributions.
To provide students with an opportunity to make calculations through exercises and problems.
Style:
The course will be proceeded based on the premise that the students have prepared for each course. The course plan may change depending on the students' degree of preparation and understanding.
Notice:
•The lectures will follow the course materials, but students are expected to use their own spreadsheet and statistics software in order to become familiar with statistical calculations.
•Students will be able to determine the probabilities of specific problems.
Course Plan
|
|
|
Theme |
Goals |
1st Semester |
1st Quarter |
1st |
Random variables and probability distribution |
Chapter 3 §1 Random variables and probability distribution §1.1 Random variables and probability distribution
|
2nd |
Random variables and probability distribution |
§1.1 Random variables and probability distribution §1.2 Binomial distribution §1.3 Poisson distribution
|
3rd |
Random variables and probability distribution |
§1.3 Poisson distribution §1.4 Continuous random variables
|
4th |
Random variables and probability distribution |
§1.4 Continuous random variables §1.5 Average and variance of continuous random variables
|
5th |
Random variables and probability distribution |
§1.5 Average and variance of continuous random variables §1.6 Normal distribution
|
6th |
Random variables and probability distribution |
§1.6 Normal distribution §1.7 Relationship between binomial distribution and normal distribution
|
7th |
Random variables and probability distribution |
(Exercises)
|
8th |
Mid-term exam |
Chapter 3 §1 Random variables and probability distribution
|
2nd Quarter |
9th |
Statistics and sample distributions |
Chapter 3 §2 Statistics and sample distributions §2.1 Function of the random variables
|
10th |
Statistics and sample distributions |
§2.1 Function of the random variables §2.2 Population and samples
|
11th |
Statistics and sample distributions |
§2.2 Population and samples §2.3 Statistics and sample distributions
|
12th |
Statistics and sample distributions |
§2.3 Statistics and sample distributions §2.4 Various probability distributions
|
13th |
Statistics and sample distributions |
§2.4 Various probability distributions
|
14th |
Statistics and sample distributions |
(Exercises)
|
15th |
Final exam |
Chapter 3 §2 Statistics and sample distributions
|
16th |
Return answers of the final exam/explanation/review |
Chapter 3 §1 Random variables and probability distributions §2 Statistics and sample distributions
|
Evaluation Method and Weight (%)
| Examination | Presentation | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
Subtotal | 80 | 0 | 0 | 0 | 0 | 20 | 100 |
Basic Ability | 80 | 0 | 0 | 0 | 0 | 20 | 100 |
Technical Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Interdisciplinary Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |