Course Objectives
Students understand the concept of probability and can calculate simple probabilities.
Students can treat descriptive statistics appropriately for given data.
Students understand the concepts of random variables and probability distributions and can be applied to simple statistical problems.
Rubric
| Ideal Level of Achievement (Very Good) | Standard Level of Achievement (Good) | Unacceptable Level of Achievement (Fail) |
| Evaluation 1 | Students can understand how to calculate the probability of a trial event that can assume similar certainty. | Students can understand the basic nature of probability. | Students can't understand the basic nature of probability. |
| Evaluation 2 | Students can understand and calculate the meaning of basic statistics. | Students can calculate the meaning of basic statistics. | Students can't calculate the meaning of basic statistics. |
| Evaluation 3 | Students understand the concepts of random variables and their probability distributions and can apply them to basic statistical problems. | Students can understand the concepts of random variables. | Students can't understand the concepts of random variables. |
Assigned Department Objectives
MCCコア科目
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ディプロマポリシー 3
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Teaching Method
Outline:
First, we give lectures on the definition of probability and its calculation method.
Next, we will present the meaning and calculation of basic statistics.
Finally, we give a lecture on the concept of probability distribution of random variables.
Style:
Lectures and exercises by the teacher alone
Notice:
Those who do not have a score of 60 can take the certification test upon request.
Course Plan
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|
|
Theme |
Goals |
| 1st Semester |
| 1st Quarter |
| 1st |
Guidance
Probability |
Students understand the definition of probabilities and their properties.
|
| 2nd |
Probability |
Students can calculate elementary probabilities.
|
| 3rd |
Probability |
Students can understand conditional probabilities and multiplication theorems and use them to calculate probabilities.
|
| 4th |
Probability |
Students can understand Bayesian theorem and use them to calculate probabilities.
|
| 5th |
Deta reduction |
Students can calculate the representative value and the scattering of one-dimensional data.
|
| 6th |
Deta reduction |
Students can calculate the representative value and the scattering of one-dimensional data.
|
| 7th |
Deta reduction |
Students can calculate covariance, correlation coefficient, etc. of two-dimensional data.
|
| 8th |
Intermediate examination |
We do the test to confirm the students' level of understanding.
|
| 2nd Quarter |
| 9th |
Random variables and probability distributions |
Students can determine the probability distribution of given random variables and their mean and dispersion.
|
| 10th |
Random variables and probability distributions |
Students can determine the probability, mean, dispersion etc. of a random variables according to the binomial distribution.
|
| 11th |
Random variables and probability distributions |
Students can determine the probability, mean, dispersion etc. of a random variablse according to the poisson distribution.
|
| 12th |
Random variables and probability distributions |
Students can determine the probability, mean, dispersion etc. of a continuous random variables.
|
| 13th |
Random variables and probability distributions |
Students can find probabilities for random variables according to the standard normal distribution and can can convert the probability for a random variable following a normal distribution to that for a random variable following a standard normal distribution.
|
| 14th |
Random variables and probability distributions |
Students can approximate the probability for a random variable according to the binomial distribution with that for a normally distributed random variable.
|
| 15th |
Final exam |
We do the test to confirm the students' level of understanding.
|
| 16th |
Explanation of final exam |
I will explain the items that are considered to be poorly understood by students in the final exam.
|
Evaluation Method and Weight (%)
| Examination | Presentation | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
| Subtotal | 70 | 0 | 0 | 0 | 0 | 30 | 100 |
| Basic Ability | 50 | 0 | 0 | 0 | 0 | 20 | 70 |
| Technical Ability | 20 | 0 | 0 | 0 | 0 | 10 | 30 |
| Interdisciplinary Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |