AY 2017 Undergraduate School Course Catalog AY 2017 Undergraduate School Course Catalog AY 2017 Undergraduate School Course Catalog
| 2018/01/30 |
| Back |
| 開講学期 ／Semester |
2017年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
Shigaku Tei |
| 担当教員名 ／Instructor |
Shigaku Tei, Shiro Ishibashi, Wang Junbo |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/25 |
|---|---|
| 授業の概要 ／Course outline |
This course is the lecture of the classroom format to be offered as part of the "Venture experience workshop" Aizu IT Nisshinkan "". In the "Aizu IT Nisshinkan", University of Aizu, characterized in IT education, offer the theme, such as the latest trends and technology challenges in the field of companies and community, in cooperation with IT-related companies, local ventures, and local governments. As a result, it aims to foster a high founding conscious young human resources with the spirit and technical capabilities to challenge the innovation. This course consists of the knowledge part lectures which aim to acquire the technology needed to venture spirit development, and lectures by outside instructors who are active in various fields. These two parts are configured to be able to learn the practical business knowledge for students. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
In the knowledge part lectures, we will learn the systematic knowledge of the latest IT technologies and business trends. This part aims to improve the basic skills and the application force to challenge the creative innovation. In the lectures by outside instructors, we provide timely topic on the latest technologies and business trends. Furthermore, by introducing the opportunities of consideration and discussion on business ideas, the proactive participation of the students is encouraged. |
| 授業スケジュール ／Class schedule |
In the knowledge part of this course, we learn about "data science to transform the business and society." When companies and organizations develop medium and long-term strategy, it has become a major factor that determines the competitiveness to analyze a huge amount of data using the best statistical methods and to make decision. In addition, along with the progress in IT, not only the support for this decision, but the transformation of the growth base of the business itself have been performed. In a world in which all of the business data become digital, active data scientists give lectures on what companies and organizations prepare for and what should be done in the business field. (Scheduled for a total of 6 lectures) In the lectures by outside instructors, we are planning the following theme as timely topic from the business and technical point of view. - Latest ICT trends - Business mind - Introduction of venture business - Study on business idea |
| 教科書 ／Textbook(s) |
Materials will be provided in the classroom. |
| 成績評価の方法・基準 ／Grading method/criteria |
To evaluate on the basis of the following items. - Attendance (submission of issues and impressions statement) 50% - Report (business plan) 25% - Final examination 25% |
| 履修上の留意点 ／Note for course registration |
Formal prerequisites: None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |
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| 開講学期 ／Semester |
2017年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
Shigaku Tei |
| 担当教員名 ／Instructor |
Shigaku Tei, Shiro Ishibashi, Wang Junbo |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/25 |
|---|---|
| 授業の概要 ／Course outline |
This course is the lecture of the classroom format to be offered as part of the "Venture experience workshop" Aizu IT Nisshinkan "". In the "Aizu IT Nisshinkan", University of Aizu, characterized in IT education, offer the theme, such as the latest trends and technology challenges in the field of companies and community, in cooperation with IT-related companies, local ventures, and local governments. As a result, it aims to foster a high founding conscious young human resources with the spirit and technical capabilities to challenge the innovation. This course consists of the knowledge part lectures which aim to acquire the technology needed to venture spirit development, and lectures by outside instructors who are active in various fields. These two parts are configured to be able to learn the practical business knowledge for students. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
In the knowledge part lectures, we will learn the systematic knowledge of the latest IT technologies and business trends. This part aims to improve the basic skills and the application force to challenge the creative innovation. In the lectures by outside instructors, we provide timely topic on the latest technologies and business trends. Furthermore, by introducing the examples of recent off-campus activities by students, the proactive participation to the various activities is encouraged. |
| 授業スケジュール ／Class schedule |
In the knowledge part of this course, we learn about "big data analysis". Along with recent changes in the business environment as well as the spread of ICT technology, the data distributed in the society have increased explosively; for example, information on the Internet, the data that is collected from a variety of sensors, text data written on the SNS. And it is said that how to take advantage of these "big data" determines corporate competitiveness. As the basis for big data processing, which is regarded as a source to produce the innovation, we address the following themes. (Scheduled for a total of 7 lectures) - Big data overview - Case study on big data utilization - Implementation procedure of big data utilization - Technology supporting big data utilization - Data analysis by statistical methods - Data mining In the lectures by outside instructors, we are planning the following theme as timely topic from the business and technical point of view. - Latest ICT trends - Business mind - Introduction of venture business |
| 教科書 ／Textbook(s) |
Materials will be provided in the classroom. |
| 成績評価の方法・基準 ／Grading method/criteria |
To evaluate on the basis of the following items. - Attendance (submission of issues and impressions statement) 50% - Report and final examination 50% |
| 履修上の留意点 ／Note for course registration |
Formal prerequisites: None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Lei Jing |
| 担当教員名 ／Instructor |
Shigaku Tei, Lei Jing |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/31 |
|---|---|
| 授業の概要 ／Course outline |
Title: Internet of Things (IoT) to Realize Safe, Secure and Simple Daily live We are performing research on embedded systems for health-care, daily life support, danger prevention, based on ubiquitous techniques, such as wearable sensing, BLE communication, IPv6 and so on. Specifically, we are developing a ring type of sensor attached to the finger, to support user (especially for elderly people) on controlling home appliances, emergency call, safety confirmation in disaster, by detecting gestures, due to machine to machine communication. Also we focus on popular platform, i.e., Arduino. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
- To learn how to develop embeded systems - To develop interesting applications through group work |
| 授業スケジュール ／Class schedule |
Schedule: (1) Basic introduction of embedded systems (2) Basic concepts (GPIO, interruption ) (3) Design of embedded systems (4) Implementation of embedded systems (5) Presentation and report |
| 教科書 ／Textbook(s) |
Relevant materials are available at the lab. It is preferable to take "O1 Basic Knowledge Course on Staring Up Ventures" first. |
| 成績評価の方法・基準 ／Grading method/criteria |
Attendance, Participation, Final Presentation |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
ベンチャー体験工房「会津IT日新館」WEB |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Hirohide Demura |
| 担当教員名 ／Instructor |
Hirohide Demura, Naru Hirata, Yoshiko Ogawa, Chikatoshi Honda, Kohei Kitazato, Kyoko Okudaira, Shiro Ishibashi |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/07/20 |
|---|---|
| 授業の概要 ／Course outline |
Theme： Utilization of Remote Sensing Data This is a Project-Based Learning using Remote Sensing Data. We use Open Data and Service from Space Agencies. Course Students are divided into two groups; Data Curation and Software Development. While they catch the interim results each other, they have midterm/final presentations. Targets of Data are deep space exploration, Earth Observation, GNSS, etc. Targets of Missions are “Hayabusa/Hayabusa2”, “Kaguya”, “Tanpopo on ISS”, and future missions such as Martian Moons eXploration(MMX). Course students experience adding and distributing new values, from shaping ideas to actual development aiming for branding software from UoA. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
Fostering specialized human resources as the core of knowledge-based society, and occupational human resources supporting industries. Data curation or software development, and presentation of them. |
| 授業スケジュール ／Class schedule |
#1 Guidance and Grouping #2-7 Lecture of backgoround knowledge, Data curation, Design and Prototyping #8 Interim Presentation #9-14 Data curation, Prototyping #15 Final Presentation (We have a joint presentation with enPit, Jan. 19(Fri) in 2018) |
| 教科書 ／Textbook(s) |
N/A |
| 成績評価の方法・基準 ／Grading method/criteria |
No exam. Attendance Rate, Intermediate/Final Presentations, Final results. |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Yosuke Kira |
| 担当教員名 ／Instructor |
Yosuke Kira |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/07/20 |
|---|---|
| 授業の概要 ／Course outline |
Google Adsense dramatically changed advertisement on the web. We can put ad spots on our blog, website, YouTube movie, mobile apps to earn advertisement rate, and they invades territories of TVs, radios, newspapers, and magazines. In this course, we create blogs and Websites with Adsense and publish our knowledge. Lectures provide methods for managing Websites, knowledge of web advertisement, skills for starting home business. Basically blogs are created with Blogger, but participants who have advanced skills for web programming may develop websites with PHP or Python on Google App Engine. Building teams is also welcomed. A special lecture will be given by an EC site manager or a news site editor, yet it is now under preparation. The final goal of the course is to earn advertisement rate from Google Adsense. However, it is too tough to earn minimum payment of 8000 yen in a half year. Participants will be credited if they obtain enough skills and knowledge to achieve the goal in the future. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
G1. To learn basic skills for web marketing Management of blog and website with ad spots requires quite complicated techniques of marketing. We have to find a field in which (1) fewer competitors (other bloggers, publishers, media etc.) exist, (2) more audience is willing to read, and (3) more advertisers offers higher advertisement rate. In this course, participants will research competitors, the number of searches, and business models of advertisers. G2. To develop venture spirit which motivates to take reasonable risk along with return. Owners of blogs or websites must be responsible for decisions they made. This point is definitely different from salary workers. For example, you may earn no money if you select unpopular field of your blog. Legal issues must be avoided. If the income exceeds 200,000 yen in a year, you have to send a tax report. You must do them by all your own decision. These experiences will build your confidence to challenge larger business. This course is open ended; participants will make decision on your business with advices from the lecturer. G3. To be able to publish your idea and knowledge on the web. Publishing skill on the web is useful in various situations: for example, creating a website for your club, working at public relation section, and building web interface at a systems development corporation. You may receive job offer or get new friend who contacts your blog. This course provides strategies for building and maintaining websites, writing fascinating blog, and appealing yourself on the web. |
| 授業スケジュール ／Class schedule |
1. Introduction: why you can contribute to other people with blogs and websites 2. Presentation of business plans I 3. Web Marketing: cases, advertisers, and other media. 4. Ad Spots on the Web: Google Adsense, Adwords, and other ad programs. 5. Researching Competitors and Demands: tools and keywords 6. Presentation of Business Plans II 7. Building Websites: domain, HTML+CSS, interactive contents, design, and mobile sites 8. Building Blogs: CMS on Google App Engine, starting Blogger 9. Writing for the Web 10. Hacking Search Engines and SNS 11. Legal Mind and Tax: copyright, security, and tax report 12. Statistics for Websites I: Google Analytics and descriptive statistics 13. Statistics for Websites II: causal inference, experimental design, and AB test 14. Lecture by Web Media Developers 15. Final Presentation |
| 教科書 ／Textbook(s) |
Materials on the web will be announced. |
| 成績評価の方法・基準 ／Grading method/criteria |
Presentations and reports in classes (50%) evaluate G1 and G2. Blogs and websites (50%) evaluate G1 and G3. |
| 履修上の留意点 ／Note for course registration |
Participants must privately have (or develop in the semester) knowledge, a skill, or a product to publish. Uncommon and freak one is welcomed; no one (including the lecturer) previously knows whether it will be successful or not. A few examples of passed and potential cases are below: (1) Deep knowledge on a specific field: how to find best apartment, how to play a minor instrument, fantastic method to learn programming, everyday life of students who survive the University of Aizu. (2) Novels and manga: see “Kyou no Nekomura-san”. (3) Interactive webpages and browser games: see “Nounai maker”. Although a participant may create an anonymous blog or website, it must satisfy legal and ethical criteria. Contents relating crime, porno, network business, copy of other websites are strictly prohibited. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
None |
| Back |
| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Incheon Paik |
| 担当教員名 ／Instructor |
Incheon Paik |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/30 |
|---|---|
| 授業の概要 ／Course outline |
It would be very convenient for us to get interests or hobby of others or important tips about a place we will take a trip from our smart phone. Big data and situation awareness of simulating human being make it possible. Big data infrastructure processes big data distributed on computer networks with very high speed. We can recognized some information to process the data using data mining technology, and comprehend current situation and project new situation or direction for the future. In this course, series of the process will be studied. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
- Big Data Infrastructureの理解 (Big Data Infrastructure Understanding) - Text Mining Technology (Document Feature Vector, Classification, Clustering) - SNS Data 取得 (Retrieving SNS Data) |
| 授業スケジュール ／Class schedule |
1. Big Data Science 2. Big Data Infrastructure 基本 I (Fundamentals I) 3. Big Data Infrastructure Hadoop 基本 II (Fundamentals II) 4. Big Data Infrastructure Hadoop 基本 III (Fundamentals III) 5. Big Data Map-Reduce Programming I 6. Big Data Map-Reduce Programming II 7. Big Data Map-Reduce Programming III 8. Text Mining I 9. Text Mining II 10. Text Mining III 11. Term Project I 12. Term Project II 13. Term Project III 14. Term Project IV 15. Evaluation |
| 教科書 ／Textbook(s) |
Lecture Material (Will be open on lecture Web wite) |
| 成績評価の方法・基準 ／Grading method/criteria |
- Attendence - Exercise - Term Project |
| 履修上の留意点 ／Note for course registration |
- P1 JAVA Programming I, II - Web API |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
1. Tom White, Hadoop, OREILLLY, 2011 2. Srinath Perera, Thilina Gunarathne, Hadoop Map-Reduce Programming, Packt Publishing, 2013 3. J.H Jeong, Biginning Hadoop Programming: Development and Operations, Wiki Books, 2012 4. Russel, Artificial Intelligence - Modern Approach, Prentice Hall. 5. 石田亨外１,人口知能,Ohmsha. |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Rentaro Yoshioka |
| 担当教員名 ／Instructor |
Rentaro Yoshioka, Hoshino T. (Nihon Unisys) |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/30 |
|---|---|
| 授業の概要 ／Course outline |
In venture factory 6, software development beginners will experience project planning and execution on a relatively easy and simple software development problem. A professional engineer experienced in practical software development and project management will provide support in designing project themes and performing coaching throughout the project activity. This course consists of “Introduction to Development Projects” in the first semester (For 2017, will be offered during 8/28-9/1 as an intensive course), and “Practical Development Projects” in the second semester. Introduction to Development Projects targets beginners of research and development activities and focuses on basic understanding of research and development process. Practical Development Projects targets students who have understood the basics of development processes and focuses on applying that knowledge to a practical development project. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
1. Understand the research/development process, and can plan a project for a relatively simple theme 2. Can carry out the research/development according to the project plan (with support of an advisor) 3. Can adjust the project plan according to the actual environment (with support of an advisor) |
| 授業スケジュール ／Class schedule |
Week 1 : Introduction Week 2: Planning the project Week 3: Planning the project (obtain consent of customer) Week 4: Requirements Definition Week 5: Requirements Definition Week 6: Requirements Definition ? Review by customer Week 7: Analysis Week 8: Analysis Week 9: Analysis : Review by customer Week 10: Design Week 11: Design Week 12: Programming Week 13: Programming & Test Week 14: Programming & Test Week 15: Final Review |
| 教科書 ／Textbook(s) |
Materials will be prepared and handed-out in class as necessary. |
| 成績評価の方法・基準 ／Grading method/criteria |
The output of the project will be evaluated on how well they satisfy the requirements agreed upon with the customer, such as specifications given in the project plan, requirements, etc. |
| 履修上の留意点 ／Note for course registration |
The development will be performed in groups. Extra-curricular activity is requested under circumstances: Delay in the project schedule Necessity to obtain specific technologies and skills required to complete the project Formal prerequisites:None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
http://borealis.u-aizu.ac.jp/classes/kobo |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Wenxi Chen |
| 担当教員名 ／Instructor |
Wenxi Chen |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/30 |
|---|---|
| 授業の概要 ／Course outline |
本工房は心電信号検出用のアンプ回路設計、組み込み計測装置開発、大量データ蓄積のデータベースサーバ構築、信号処理とデータ解析（雑音除去、特徴点検出、心拍数変動解析など）および表現手法の一連のプロセスを通じて、生体情報学の基礎知識と応用実技を学びながら、健康ビッグデータネットワークプラットフォーム「快風」の構築等を体験する。 「快風」とは、浴槽内に埋め込まれた複数の電極により日頃入浴時の心電信号を自動的に測定・蓄積・解析・表示するシステムを指す。 |
| 授業の目的と到達目標 ／Objectives and attainment goals |
生体信号の検出センサ、計測装置とネットワークベースシステムの開発プロセスについて勉強する |
| 授業スケジュール ／Class schedule |
毎週木曜日５限に活動を行う。 理論から実践まで、システム構築から信号計測、データ収集・解析まで、ステップバイステップ進んでいく。 |
| 教科書 ／Textbook(s) |
教科書なし ハンドアウトなど資料随時適宜提供 |
| 成績評価の方法・基準 ／Grading method/criteria |
最終成果物による評価 |
| 履修上の留意点 ／Note for course registration |
なし |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
研究棟廊下展示ポスター参照 http://bitlab.u-aizu.ac.jp |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Shiro Ishibashi |
| 担当教員名 ／Instructor |
Shiro Ishibashi, Subhash Bhalla |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/25 |
|---|---|
| 授業の概要 ／Course outline |
Theme: Business Analytics: Practical Exercises on Data Science "Data scientist" (professional to analyze the data with advanced statistical skills) is now getting a great deal of attention as a state-of-the-art profession. Since this profession is expressed as “the sexiest job of the 21st century” in Harvard Business Review magazine, it becomes to be known widely. In Japan, market needs for human resources with the data analysis skills has increased recently. This lecture is the practical exercise on data analysis by active consultants of Accenture Japan Ltd., which is the world's largest consulting company. We aim to learn basic knowledge of data analysis, acquisition of analytical skills that can apply such as in hackathon, and logical thinking and presentation skills which are directly linked to job hunting. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
In this lecture, the active data scientists of Accenture Japan Ltd. conduct a series of analytics process through the project-type data analysis exercise. We aim to acquire analytical skills required in the enterprise. In addition, documentation and presentation method are also introduced by active consultants. We also aim to learn presentation skill which is essential in the further research activities and job hunting. |
| 授業スケジュール ／Class schedule |
The following contents are performed in 15 periods. (1) The understanding of analytics process (2) The exercises on analytics process using open data (3) The practical analysis using statistical tool (R language and EXCEL) (4) The skill-up of logical thinking and presentation * The practical analytics for policy issue in collaboration with Aizuwakamatsu city. |
| 教科書 ／Textbook(s) |
Materials will be provided in the classroom. |
| 成績評価の方法・基準 ／Grading method/criteria |
Attendance, performance of the exercises, and contribution to the classroom are totally evaluated. |
| 履修上の留意点 ／Note for course registration |
Formal prerequisites: None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
References will be provided in the classroom. |
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| 開講学期 ／Semester |
2017年度／Academic Year 集中 ／Intensive course |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Yutaka Watanobe |
| 担当教員名 ／Instructor |
Yutaka Watanobe, Yukihide Kohira, Yuichi Okuyama |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/30 |
|---|---|
| 授業の概要 ／Course outline |
「情報処理技術者試験」に対して、その対策講座を試験直前の期間に集中的に開催する。実践的な試験対策とするために、試験対象分野の講義と試験問題の演習及び宿題を交互に行いながら授業を進める。講義内容はIPA情報処理技術者試験の出題範囲及び分類に基づいている。 |
| 授業の目的と到達目標 ／Objectives and attainment goals |
情報処理技術者として必要な基礎知識を身に付け、情報処理技術者として活躍していくことを目的とする。学生は基本情報処理技術者試験に頻出する問題を通して、試験に向けた基本的な知識を得ることができる。さらに、学生は本学のカリキュラムで身に付けた個々の知識を生かし、試験のための応用力を身に付けることができる。 |
| 授業スケジュール ／Class schedule |
・情報の基礎理論 ・アルゴリズムとデータ構造 ・ハードウェア ・ソフトウェア ・システム開発 ・コンピュータシステム ・ネットワーク ・データベース ・セキュリティと標準化 ・情報と経営 ・C言語 |
| 教科書 ／Textbook(s) |
基本情報 受かる100問 1,600円 （新星出版社） その他、宿題・演習用のハンドアウトを配布する。 また、基礎的な事項は基本情報 受かる100講 （新星出版社）で確認するとよい。 |
| 成績評価の方法・基準 ／Grading method/criteria |
コンピュータに関わる全ての科目が関連するが、先修科目は特に設けない。履修していない分野は適宜各自で予習すること。 本講座では、整理された得点源の問題を集中的に解くことで効率的に基礎力をつけることができるが、基本情報処理技術者試験の合格を保障するものではない。合格するためには、さらなる自主学習が必要なことに留意すること。 |
| 履修上の留意点 ／Note for course registration |
出席は必要条件であり、7割以上出席しなければならない。 最終的な目標は試験に合格することであるため、 評価は出席と宿題の提出率（正答率ではない）でのみで行う。 履修規程上の先修条件：なし |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
http://arena.u-aizu.ac.jp/Arena/ |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期 ／First Semester |
|---|---|
| 対象学年 ／Course for; |
2nd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Masahide Sugiyama |
| 担当教員名 ／Instructor |
Masahide Sugiyama |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/31 |
|---|---|
| 授業の概要 ／Course outline |
In this course, students will learn as they think for themselves, using social issues, messages from heads of industry and universities, and exchanges of opinions with a member of the Fukushima Information Industry Association as learning materials. Further, this course leads into Career Design II, which covers the employment activities and career decisions students will face the following academic year. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
The objective of this course is for students to get a feel for social trends and improve their communication and thinking abilities, which are required in society. |
| 授業スケジュール ／Class schedule |
●Fundamentals (1) Introduction to Careers (Lecture) 4/12 Students will receive an overview of the lectures, an introduction to careers, and learn about the thinking process. (2) Understanding society 1 (Participation by Fukushima Mimpo reporter) 4/19 Students will learn about the state of the world, Japan, and Fukushima through the Fukushima Mimpo. (3) Understanding society 2 (Lecture, individual work) 4/26 Students will learn about social issues such as aging populations and declining birthrates, the environment, and safety and security, and will form their own opinions on these subjects. (4) Understanding society 3 (Group work) 5/10 Students will delve deeply into the issues above through team discussions. (5) Understanding society 4 (Group work) 5/24 Each team will form and present their opinions on the issues above as a group. (6) Understanding society 5 (Lecture, individual work) 5/31 Students will study messages from heads of industry, government, universities, etc. and form their own opinions on them. (7) Understanding society 6 (Group work) 6/2 Students will delve deeply into the issues above through team discussions. (8) Understanding society 7 (Group work) 6/14 Each team will form and present their opinion on the theme above as a group. ●Practical Application 「Let's create a realization plan to revitalize local society (society with a declining population) using IoT.」 (9) Understanding the needs of industry 1 (Participation by industry member) 6/21 A member of the Fukushima Industry Association will present information on issues their company is facing and exchange opinions with students. (10) Understanding the needs of industry 2 6/28 Students will collect information on the subject in question and discuss the issues, distribution of labor, and scheduling regarding possible solutions. (11) Understanding the needs of industry 3 (Participation by industry member) 7/5 Students will delve into the issues and pose questions to the industry member. (12) Understanding the needs of industry 4 7/12 Students will delve into the issues. (13) Understanding the needs of industry 5 7/19 Students will prepare materials for their presentations. (14) Understanding the needs of industry 6 (Participation by industry member) 7/26 Students will make presentations and critique each other's presentations. (15) Final review 8/2 *The scheduled content of class sessions is subject to change. |
| 教科書 ／Textbook(s) |
None |
| 成績評価の方法・基準 ／Grading method/criteria |
(1) Class Attendance: More than two-thirds of all class sessions (2) Participation level in each class |
| 履修上の留意点 ／Note for course registration |
(1) The class capacity of ~30 students (which is due to the group work and workshop style of class) may be filled before the course registration deadline. (2) This class required students to engage in independent thinking. (3) Handouts will be distributed as needed. |
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| 開講学期 ／Semester |
2017年度／Academic Year 後期 ／Second Semester |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Masahide Sugiyama |
| 担当教員名 ／Instructor |
Masahide Sugiyama |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/06/29 |
|---|---|
| 授業の概要 ／Course outline |
To make career choice with future prospects and broad view: industry analysis and company studies for career choice forecasting a great uncertainty in the future |
| 授業の目的と到達目標 ／Objectives and attainment goals |
To provide hands-on information and advices on job hunting: self-analysis, study on companies, industries, job application forms, and interview tips |
| 授業スケジュール ／Class schedule |
1. For starting job hunting (Introduction to Job hunting, schedule, precautions, etc.) Recruit Career Co., Ltd. , Recruit Technologies Co., Ltd..10/4 2. Social understanding - Japan, Fukushima, and Aizu Presenter: FUKUSHIMA-MINPO Co.,Ltd. reporter 10/11 3. Industry Analysis 1 10/18 In-depth studies on IT industry , Mitsubishi Electric Information Systems Corporation 4. Industry Analysis 2 10/25 Manufacturers , Alpine Electronics, Inc. 5. Industry Analysis 3 11/1 Service industry , SEGA Games Co., Ltd. 6. Industry Analysis4 & Self-Analysis 11/8 Public Services , Aizu Wakamatsu City 7. Industry Analysis5 11/15 1)Tokyo area companies: KYOCERA Communication Systems Co., Ltd. 2)Local companies: Fukushima Information Processing Center Co., Ltd. 8. Preparation for written examinations 11/22 9. Report sessions by seniors who received tentative job offers (naitei) 12/6 10. Practice session - Job application form writing 12/13 11. Practice session - Group Discussion 12/20 12. Seminar on industries with UoA alumni 1/10 13.Preparation for interviews 1/17 14. Mock interviews 1/24 15. Highlights of job hunting tips 1/31 |
| 教科書 ／Textbook(s) |
Handouts will be distributed in each class . |
| 成績評価の方法・基準 ／Grading method/criteria |
Evaluations will be made based on the number of class sessions students attend. 100% |
| 履修上の留意点 ／Note for course registration |
1. Please be sure to attend a student who wants to get a job. 2. Comments from participants ● It was a good lesson to acquire various knowledge and skills on job hunting. ● It was good to know the information on employment that I could not know until now. ● It was a very good opportunity to prepare for employment. ● There were many stories that were very useful. ● I was glad to hear the story of the front line of business people. |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Heo Younghyon |
| 担当教員名 ／Instructor |
Kuwada K. |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/27 |
|---|---|
| 授業の概要 ／Course outline |
This is a TOEIC preparation course for university students. This course is designed for students to familiarize themselves with the TOEIC test format and to improve their listening and reading skills. Through instructions and practice, students will be able to comprehend basic communications in English in daily life. By the end of the semester, students will obtain a good amount of vocabulary and get enough practice in English grammar and have a good understanding of TOEIC test format to reach TOEIC score 400. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
(1) To improve listening and reading skills in English (2) To enhance the knowledge of English grammar (3) To learn English expressions in daily communication (4) To learn how to study fot the TOEIC test |
| 授業スケジュール ／Class schedule |
Week 1: Introduction, Sample test Week 2 – Week 12: Listening & Reading Exercises, Vocabulary Quizzes Week 13: Mock Test (Listening), Grammar Test Week 14: Mock Test (Reading) Week 15: Mock Test review Details will be announced in the first class. |
| 教科書 ／Textbook(s) |
「TOEIC テスト 公式問題で学ぶボキャブラリー」 著者 Educational Testing Service 発行元 国際ビジネスコミュニケーション協会 ＊Vocabulary quizzes will be given based on the above book. The book is available through the University Bookstore. ＊Course materials will be provided by the instructor. |
| 成績評価の方法・基準 ／Grading method/criteria |
Attendance 30% Vocabulary quizzes 30% Grammar Test 30% Participation 10% |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
担当教員のメールアドレスは以下の通りです。 k-kuwada@u-aizu.ac.jp |
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| 開講学期 ／Semester |
2017年度／Academic Year 前期・後期 ／1st, 2nd Semester |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
Heo Younghyon |
| 担当教員名 ／Instructor |
Kuwada K. |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/01/27 |
|---|---|
| 授業の概要 ／Course outline |
This is a TOEIC preparation course for university students. This course is designed for students to familiarize themselves with the TOEIC test format and to improve their listening and reading skills. Through instructions and practice, students will be able to comprehend communications in English in work place and daily life. By the end of the semester, students will obtain a good amount of vocabulary and get enough practice in English grammar and have a good understanding of TOEIC test format to increase their TOEIC score. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
(1) To improve listening and reading skills in English (2) To enhance the knowledge of English grammar (3) To learn English expressions in daily communication (4) To learn how to study for obtaining higher TOEIC score. |
| 授業スケジュール ／Class schedule |
Week 1: Introduction, Listening & Reading Exercises Week 2 – Week 12: Listening & Reading Exercises, Vocabulary Quizzes Week 13: Mock Test (Listening), Grammar Test Week 14: Mock Test (Reading) Week 15: Mock Test review ＊Assignments will be given every week. |
| 教科書 ／Textbook(s) |
Course materials will be provided by the instructor. |
| 成績評価の方法・基準 ／Grading method/criteria |
Attendance 30% Quizzes 30% Grammar Test 30% Assignments 10% |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
担当教員のメールアドレスは以下の通りです。 k-kuwada@u-aizu.ac.jp |
| Back |
| 開講学期 ／Semester |
2017年度／Academic Year 4学期集中 ／4thQuarter Intensive |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year , 3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
Shigaku Tei |
| 担当教員名 ／Instructor |
Shigaku Tei, Tatsuki Kawaguchi, Jian Chen, Shiro Ishibashi |
| 推奨トラック ／Recommended track |
－ |
| 履修規程上の先修条件 ／Prerequisites |
－ |
| 更新日／Last updated on | 2017/11/30 |
|---|---|
| 授業の概要 ／Course outline |
「インターンシップコース」は、国内外の企業における現場体験をもとに、グローバルに活躍できる素養を身に付けることを目的とします。これにより、スーパーグローバル大学の取組み目標である「世界で活躍する革新的 ICT人材の育成」を目指します。「インターンシップコース」では、その内容に応じて以下の3コースを提供しますが、本コースはそのうちのコースⅢに相当します。（Ⅰ・Ⅱの提供は今後予定） ・コースⅠ（地域インターンシップ）：地域企業やベンチャーでのインターンシップを行うコース ・コースⅡ（国内インターンシップ）：国内企業でのインターンシップを行うコース ・コースⅢ（海外インターンシップ）：海外研修や海外企業でのインターンシップを行うコース 各コースは、「事前研修」「実習」「事後研修」の３つのパートからなり、「事前研修」と「事後研修」を学内において講義・演習形式で実施し、その間の期間で各研修先の現場において「実習」を行います。「実習」については、コース毎に用意されたメニューの中から、各自選択により実施内容（研修場所）を決めます。 |
| 授業の目的と到達目標 ／Objectives and attainment goals |
＜目的＞ 「インターンシップコースⅢ」では、海外の研修所や企業の現場において「実習」を体験することにより、グローバルICT人材としての素養を身に着けることを目的とします。 (1) グローバル創業精神の獲得 グローバル化が進むICT分野において、国際的視野をもったビジネス展開ができる人材を目指す (2) 国際ビジネスへの対応スキルの獲得 国際ビジネスで必要となる課題把握・解決能力、対人関係やコミュニケーション能力を獲得する (3) 多様性の理解と適用力の獲得 多様な文化やビジネス習慣に対し、自己のアイデンティティを保ちつつ適用できる能力を獲得する ＜達成目標＞ 「インターンシップコースⅢ」では、受講生は以下のスキルの習得を目標とします。 (1) 異文化の理解 海外での製品開発やビジネスの現場を体験することにより、文化や思考パターンの多様性を理解する (2) ステークホルダの理解 企業関係者・ユーザなど海外のステークホルダとの直接体験を通じて、対応力・適用力を習得する (3) 海外ビジネスの仕組みの理解 海外におけるビジネスルールや習慣を体験することにより、日本と異なる仕事の進め方を理解する (4) 海外での課題把握 海外での現地特有の課題を知ることで、社会における課題の多様性と日本との相違を理解する (5) 問題の解析と解決力の習得 海外における課題解決のアプローチを体験することで、日本との相違や国際標準の考え方を習得する (6) 国際チームワーク力の習得 ビジネスの現場でのチームワーク体験を通じて、国際社会における協業に対する適用力を養う (7) 国際人としての表現力の習得 現地作業を通じて、国際人としての的確なコミュニケーション能力の習得を図る |
| 授業スケジュール ／Class schedule |
「インターンシップコースⅢ（シリコンバレープログラム）」では、実際に米国シリコンバレーで実施される「実習」の前後に、国内において講義・演習形式で「事前研修」ならびに「事後研修」を実施します。 ・事前研修：学内と外部施設での講義・演習形式により、実習に先立って以下の準備を行います。 －オリエンテーション、渡航時の注意事項、異文化理解（以上２コマ）、 －IoTものづくりの概要、モデリングとデザイン、Arduino入門、プロトタイプ開発キットの使い方、製作実習、成果発表（以上１３コマ） ・実習：米国の会津大学シリコンバレー拠点を中心に、現地における異文化体験と製品開発実習、近隣の企業訪問を行います。（２週間） －Meetup Meeting等への参加による現地での開発・起業活動文化の理解 －現地大学や企業への訪問 －事前研修で開発したもののブラッシュアップ －現地起業家に対する開発成果の発表、またはMakers’ Fairでの展示 －定期的な報告の実施、受入れ先担当者への報告 ・事後研修：学内での講義・演習形式により、実習の振返りと報告書作成・発表を行います。 －実習の振返り、実習成果まとめ、報告書作成、実習報告プレゼン、意見交換（以上２コマ） |
| 教科書 ／Textbook(s) |
特になし。講義中に必要に応じて資料を配布します。 |
| 成績評価の方法・基準 ／Grading method/criteria |
以下の項目をもとに評価します。 ・事前研修および事後研修の取組み状況（事前の計画書提出・事後の報告書提出）50% ・実習期間の取組み状況（実習期間中の報告書提出）50% なお実習期間の取組み状況に関しては、受入れ先による評価も考慮します。 |
| 履修上の留意点 ／Note for course registration |
「事前研究」「実習」「事後研修」の全てを履修することで２単位が認定されます。「インターンシップコースⅢ」は「課外活動プログラム」の１カリキュラムであるため、他の「課外活動プログラム」と合わせて最大４単位まで卒業単位として認定が可能です。「課外活動プログラム」の卒業単位として申請しない場合には、取得単位は自由単位の扱いとなります。 |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
特になし。 |