Course Objectives
1) Can do description statistics such as data aggregation and visualization.
2) Can predictive statistics such as predictive analysis by regression analysis of data.
3) Can collect and analyze open data and summarize it as a report.
Rubric
| Ideal Level | Standard Level | Unacceptable Level |
| Achievement 1 | Can do description statistics such as data aggregation and visualization to purpose. | Can do description statistics such as data aggregation and visualization | Cannot do description statistics such as data aggregation and visualization |
| Achievement 2 | Can predictive statistics to purpose such as predictive analysis by regression analysis of data to purpose. | Can predictive statistics such as predictive analysis by regression analysis of data | Cannot predictive statistics such as predictive analysis by regression analysis of data |
| Achievement 3 | Can collect and analyze to purpose open data and summarize it as a report to purpose. | Can collect and analyze open data and summarize it as a report | Cannot collect and analyze open data and summarize it as a report |
Assigned Department Objectives
Teaching Method
Outline:
In this course, students will learn the basic knowledge and skills necessary to create reports and scientific and technical documents through exercises using software documents, spreadsheets, and presentations.
Style:
Classes will be mainly conducted through exercises using slides and e-learning portals on a PC in the computer lab.
Notice:
This course's content will amount to 90 hours of study in total. These hours include the learning time guaranteed in classes and the standard self-study time required for pre-study / review, and completing assignment reports.
Students who miss 1/3 or more of classes will not be eligible for evaluation.
Characteristics of Class / Division in Learning
Course Plan
|
|
|
Theme |
Goals |
| 2nd Semester |
| 3rd Quarter |
| 1st |
Class guidance and basic computer operation |
Determine the level of understanding for information ethics and information security. Can explain the objectives of the course and perform basic computer operation.
|
| 2nd |
Basic operation of spreadsheet software |
Can perform basic operation of spreadsheet software. and exercises.
|
| 3rd |
Discription Statistics 1 Data feature extraction |
Can calculate averages, medians, etc used Excel functions
|
| 4th |
Discription Statistics 2 Data visualization |
Can create graphs used Execl.
|
| 5th |
Conditional branch instruction |
Can perform calculations using conditional branch instructions.
|
| 6th |
Survey data result organization and visualization 1 |
Leveling survey results can be organized and graphed using spreadsheet software.
|
| 7th |
Survey data result organization and visualization 2 |
Leveling survey results can be organized and graphed using spreadsheet software.
|
| 8th |
Estimation statistics 1 Feature extraction oftwo-variable data |
Understand how to extract features between two-variable data
|
| 4th Quarter |
| 9th |
Estimation statistics 2 correlation coefficient |
Correlation coefficient of two-variable data can be performed.
|
| 10th |
Estimation statistics 3 regression analysis |
Regression analysis of two-variable data can be performed.
|
| 11th |
Use of Open Data |
Acquire appropriate open data for the task and summarize it in spreadsheet software.
|
| 12th |
Analysis of Open Data |
Analyze the data obtained to achieve the purpose of the task using the learned knowledge.
|
| 13th |
Preparation of presentation materials |
Can create presentation materials to achieve purpose.
|
| 14th |
Presentation 1 |
Can presentation to achieve purpose.
|
| 15th |
Presentation 2 |
Can presentation to achieve purpose.
|
| 16th |
|
|
Evaluation Method and Weight (%)
| Exercise | Presentations | Presentations | Attitude | Portfolio | Other | Total |
| Subtotal | 80 | 20 | 0 | 0 | 0 | 0 | 100 |
| Basic Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Specialized Proficiency | 80 | 20 | 0 | 0 | 0 | 0 | 100 |
| Cross-Disciplinary Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |