Data Science Ⅰ

Course Information

College Toyama College Year 2021
Course Title Data Science Ⅰ
Course Code 0018 Course Category Specialized / Compulsory
Class Format Lecture Credits School Credit: 1
Department Department of International Business Student Grade 1st
Term First Semester Classes per Week 2
Textbook and/or Teaching Materials ITパスポート合格教本, 30時間でマスターPOWERPOINT2019
Instructor Ebihara Tsuyoshi,Miyazaki Izumi,Hsegawa Hiroshi,Matsubara Yoshihiro,Okamoto Katsunori,Murayama Masako,Shiomi Kosuke,Nishihara Masahiro,Miyashige Tetsuya,Hagiwara Shingo,Kiyoshi Takeharu

Course Objectives

To learn data science, AI, information literacy, security, etc., and to acquire basic knowledge that can be used in daily life and work in the future information society.
To be able to make appropriate human-centered judgments by learning social situations and actual examples in society, and to be able to explain and utilize the knowledge and skills acquired.
(1) Relationship between mathematical data science, AI and society
(2) Information literacy
(3) Security
(4) Use of office suite

Rubric

Ideal Level of Achievement (Very Good)Standard Level of Achievement (Good)Unacceptable Level of Achievement (Fail)
Evaluation 1To be able to explain in detail with actual examples that mathematical data science and AI are closely related to social changes and our own lives, and are useful in solving a wide range of issues.To be able to explain that mathematical data science and AI are closely related to social changes and our own lives, and are useful in solving a wide range of issues.Cannot explain how mathematical data science and AI are closely related to social changes and our own lives and are useful in solving a wide range of problems.
Evaluation 2Understand the basic technologies of computers and networks and their roles, and be able to explain them in detail.To be able to explain the basic technologies of computers and networks and their roles.Cannot explain the basic technologies of computers and networks and their roles.
Evaluation 3Understand the importance of security and be able to explain the basic technology in detail.Explain the importance of security and its basic technologies.Cannot explain the importance of security and its basic technologies.
Evaluation 4To be able to use presentation software freely.Can use presentation software.Cannot use presentation software.

Assigned Department Objectives

ディプロマポリシー 1 See Hide

Teaching Method

Outline:
Through "Data Science I" and "Data Science II", students learn the literacy of information technology, mathematical data science, AI, and security that technical college students should learn regardless of their humanities and sciences.
In addition to knowledge, students will learn the importance of data science in society through actual examples and practice exercises using real data to acquire basic knowledge for discovering and solving problems in the real world and learning how to use data appropriately.
Style:
The class will consist mainly of lectures and exercises using actual data.
When learning the importance and utilization of acquired knowledge in society, group work will be conducted in order to summarize our own ideas and discuss them with others.
Notice:
Evaluation:
Comprehensive evaluation of reports, etc. A grade of 50 points or more is required for credit.

Admission examinations:
A student whose grade is less than 50 points may take an additional examination upon request. If the student is approved for credit as a result of the additional examination, the grade will be 50.

Course Plan:
The class plan is subject to change according to the level of understanding of the students.

Characteristics of Class / Division in Learning

Active Learning
Aided by ICT
Applicable to Remote Class
Instructor Professionally Experienced

Course Plan

Theme Goals
1st Semester
1st Quarter
1st Guidance.
Using Information Systems
Understand how to proceed with the class.
To be able to set up the use of information systems.
2nd Information system configuration Able to set up a computer and network.
3rd Social conditions Understand the importance of learning mathematical data science and AI in the information society.
4th Mathematical Data Science, AI and Society Understand the relationship between mathematical data science, AI, and social change.
5th Relationship between mathematical data science, AI application technology, and business To be able to understand the basic techniques for using mathematical data science and AI in the real world. In addition, you will be able to learn the relationship with business and understand how to use them in the real world.
6th Information Literacy (1)
- Flowchart, Algorithm -
Understand flowcharts and algorithms.
7th Information Literacy (2)
- Principles of computer operation -
Understand the principles of computer operation, configuration, and the roles of hardware and software.
Understand the information representation of computers.
8th Information Morality and Security (1)
- Information Handling, Policies, Manners -
Understand the importance of security, information handling, rules and policies. In addition, understand the dangers and etiquette of using the Internet.
2nd Quarter
9th Information Morale and Security (2).
- Cyber Attacks, Security Technology, Management -
Learn about cyber attacks and defensive techniques, and understand the elemental technologies of security.
Understand risk control and management methods.
10th Information Literacy (3)
- Network Basics -
Understand the role, structure, and mechanism of information networks.
11th Information Literacy (4).
- Law and the Information Society -
Understand the basic laws related to information.
12th Information Literacy (5).
- Law and the Information Society -
Understand the basic laws related to information.
13th Utilizing Office Suite (1) To be able to understand how to use word processing software, spreadsheet software, and presentation software through practical training.
14th Utilizing Office Suite (2) To be able to understand how to use word processing software, spreadsheet software, and presentation software through practical training.
15th Utilizing Office Suite (3) To be able to understand how to use word processing software, spreadsheet software, and presentation software through practical training.
16th Class evaluation questionnaire

Evaluation Method and Weight (%)

ExaminationIssuePresentationBehaviorPortfolioOtherTotal
Subtotal06000040100
Basic Ability0300002050
Technical Ability0000000
Interdisciplinary Ability0300002050