AY 2023 Undergraduate School Course Catalog AY 2023 Undergraduate School Course Catalog AY 2023 Undergraduate School Course Catalog
| 2024/01/30 |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
PERKINS Jeremy |
| 担当教員名 ／Instructor |
PERKINS Jeremy |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/03/20 |
|---|---|
| 授業の概要 ／Course outline |
Students will learn to use R in order to apply basic statistical techniques on linguistic data. The course will focus on analysis of acoustic data using the Praat software package. Students will learn how to run an acoustic study using Praat scripts, with techniques for organizing, processing and analyzing the results via R. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-003-2, C-EC-005-2, C-EC-008-2, C-EC-014-5 The following objectives will be of particular interest: 1. A basic understanding of acoustic phonetics. 2. How to use Microsoft Excel to work with data. 3. How to use Praat software to analyze acoustic data. 4. How to write scripts that allow processing large amounts of data. 5. Statistical techniques and hypothesis testing using R software. |
| 授業スケジュール ／Class schedule |
Class 1: Introduction Classes 2-3: An Introduction to Acoustic Phonetics Classes 4-5: Using Praat to analyze Acoustic Phonetics Classes 6-7: Writing Praat Scripts Classes 8-9: Review & Midterm Exam Classes 10-11: Statistical Techniques Classes 12-14: Using R for statistical analysis |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available online to students via Moodle. |
| 成績評価の方法・基準 ／Grading method/criteria |
Students are required to take the TOEIC test in class during the final exam week to pass this course. Homework Assignments (6 assignments worth 5% each) 30% Midterm Exam (in class – class 8 or 9) 25% Take-home Final Project (assigned class 10; due end of quarter) 25% Active Participation 20% |
| 履修上の留意点 ／Note for course registration |
The class does not have a final exam. Instead, a final project is assigned. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ROY Debopriyo |
| 担当教員名 ／Instructor |
ROY Debopriyo |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/12/19 |
|---|---|
| 授業の概要 ／Course outline |
This is a basic technical communication course focused on XML and semantic web. We will spend significant time understanding the basics of XML mark-up language. As part of this course, students will learn the basics of information design and content management. The idea is to learn how online technical content for products and services is managed and delivered in an intelligent way in the industry for customers, vendors, engineers, sales, etc. The focus would be for students to learn how product information could be designed and delivered by creating ontologies based on product information classification standards and use case scenarios. Students will be working on project-based activities with the IT industry in mind. This course will help develop entrepreneurial thinking in our students and provide a context for understanding the IT market while developing a basic technical communication skillset. Technical communication is the effective communication of technical or specialized topics to a variety of audiences. A lot of technical communicators are taking on the role of content strategist. Content strategies are becoming a natural evolution of technical communication that involves producing content for online audiences. While technical writers who were working before the advent of the Internet were typically producing content for print, today’s technical writers are producing content for a variety of media, including online venues like webpages, blogs, apps, and social media. If they’re going to do so effectively, they need to learn some new skill sets to help them create content that is appropriate to online media, specifically: SEO (Search Engine Optimization) Content auditing Content management These newer skill sets are important if we have to develop content that is going to be published online, rather than in print. So, computer science students need to understand not only technical writing and presentation but how information is managed and accessed online using content management and delivery systems. A content management system (CMS) helps companies manage digital content. Whole teams can use these systems to create, edit, organize, and publish content. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. Competency Requirements: C-EC-010 & C-EC -015 We will look forward to attaining multiple goals during the quarter. • Understand the basics of content management and delivery • How to analyze products in the market? • How to organize product information? • How to use effective strategies to make information easily available? • How to use effective strategies to help retrieve relevant information? • How to perform simple technical writing practices • How to think critically and analytically? • How to author business and procedural documents? Notes: All assignments will be done in small groups, or as deemed necessary by the course instructor. |
| 授業スケジュール ／Class schedule |
Class1-2: Syllabus Explanation Introduction to XML - Lecture Sections 1 & 2 Assignment # 1 - 10% Class 3: Introduction to CMS (Content Management Systems) & CDP (Content Delivery Portals) XML Lecture Section 3 Class 4: XML vs. Semantic Web & Content Delivery Portals / Introduction Assignment # 2 - 10% XML Lecture Section 4 Class 4-5: XML Lecture Section 5 Amazon's Design Theory / Amazon Website Design Assignment # 3 - 10% Class 6-7: XML Lecture Section 6-7 Faceted Search / Smart Home Product Description Assignment # 4 - 10% Class 8-9: XML Lecture Section 8-9 Introduction to Ontology / Ontology Creation with Mind Meister Assignment # 5 - 15% Class 10-12: XML Lecture Section 10-12 PI-Fan Classification / PI-Classification Exercise Assignment # 6 - 15% Class 13: Microsoft HaloLens, IoT & Dynamic Information Management / Technical Presentation on Microsoft HoloLens & Information Management Assignment # 7 - 10% Class 14-15: Participation in the Summer International Industry Workshop - https://etltc-acmchap.org/ip-im-schedule Participation at the Mini-Conference on Careers in Applied Sciences - https://etltc-acmchap.org/mini-conf Topics: Digital Information Services & Semantics based on Content Management & Content Delivery Part I Content Management Basics & Content Delivery Part II Semantic Applications for Information Services * 5% Bonus Marking Automatically Added to the Total Grade for comments and observations made during the international sessions, and based on interaction with international students, and other international guests. |
| 教科書 ／Textbook(s) |
There won’t be any recommended textbook but use multiple resources along the way. You will be provided with handouts and lectures posted in Moodle, throughout the quarter. |
| 成績評価の方法・基準 ／Grading method/criteria |
Introduction Assignment # 1 - 10% Introduction Assignment # 2 - 10% Amazon Website Design Assignment # 3 - 10% Smart Home Product Description Assignment # 4 - 10% Ontology Creation with Mind Meister Assignment # 5 - 15% PI-Classification Exercise Assignment # 6 - 15% Technical Presentation on Microsoft Hololens & Information Management Assignment # 7 - 10% Mini-Conference & Industry Workshop Participation (and networking) - 20% - Minor alteration to the grading criteria might be needed - 5% bonus marking may be applicable |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
https://www.people-text.de/en/competences-content-management-systems.html https://www.antidot.net/content-delivery-platform/ https://www.cmswire.com/digital-marketing/what-is-intelligent-content-and-how-can-it-help-marketers/ https://www.linnworks.com/blog/artificial-intelligence-in-ecommerce |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ILIC Peter |
| 担当教員名 ／Instructor |
ILIC Peter |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/03/20 |
|---|---|
| 授業の概要 ／Course outline |
This course will cover Information and Communications Technology (ICT) in Education particularly focusing on affordances offered by the technology. It will address the “what” and “how” of ICT in education, by providing students with theoretical and practical knowledge invaluable in the planning, implementation, and evaluation of ICT supported education. Students will learn about various affordances of educational technology, from current trends to future possibilities. Also, the course will help students develop awareness of the current advantages and limitations of ICT in the educational context. It will be of particular interest to students who are interested in becoming educators. *Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-004-3, C-EC-009-6, C-EC-013-4 1. Develop theoretical and practical knowledge of ICT in education. 2. Develop critical understanding of the limits of ICT in education. 3. Acquire skills in the planning and implementation of ICT in education. |
| 授業スケジュール ／Class schedule |
1. Introduction to ICT in Education a. Homework: i. Online Reading ii. Quiz 1 (8%) 2. History of ICT in Education A a. Homework: i. Online Reading ii. Quiz 2 (8%) 3. History of ICT in Education B a. Homework: i. Online Reading ii. Quiz 3 (8%) 4. Ubiquitous Learning a. Homework: i. Online Reading ii. Quiz 4 (8%) 5. Active Knowledge Making a. Homework: i. Online Reading ii. Quiz 5 (8%) 6. Multimodal Meaning a. Homework: i. Online Reading ii. Quiz 6 (8%) 7. Recursive Feedback a. Homework: i. Online Reading ii. Quiz 7 (8%) 8. Collaborative Intelligence a. Homework: i. Online Reading ii. Quiz 8 (8%) iii. Project Outline (5%) 9. Metacognition a. Homework: i. Online Reading ii. Quiz 9 (8%) 10. Differentiated Learning a. Homework: i. Online Reading ii. Quiz 10 (8%) 11. The Future a. Homework: i. Presentation PowerPoint upload 12. Project Presentations (15%) 13. Project Presentations 14. Project Presentations 15. Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available online to students via Moodle. |
| 成績評価の方法・基準 ／Grading method/criteria |
Online Reading Quizzes: 80% Project: Total 20% • Project Outline: 2% • Project Presentation (PowerPoint): 18% Notes: Late assignments will lose 10% per day. After 5 days, a late assignment will receive a mark of 0%. Not participating in class activities will result in -2%. Being late 3 times will be equivalent to 1 absence. Being more than 30 minutes late will equal 1 absence. |
| 履修上の留意点 ／Note for course registration |
Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
LINGLE William |
| 担当教員名 ／Instructor |
LINGLE William |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/03/20 |
|---|---|
| 授業の概要 ／Course outline |
This course aims to provide students with the cognitive tools to distinguish between statements of fact and opinion, between strong and weak logical arguments, and to identify how emotions and cultural values can influence the ways in which arguments are constructed, expressed, and understood. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-001-4, C-EC-004-2, C-EC-014-7 By the end of the course students will be able to: 1) distinguish statements of fact from statements of opinion 2) identify sources of information by which statements of fact may be evaluated as correct or incorrect 3) identify logical arguments 4) identify appeals to cultural values and emotions within arguments 5) identify logical fallacies within arguments 6) evaluate arguments as strong or weak 7) recognize strengths and weaknesses of their own arguments and of those they disagree with |
| 授業スケジュール ／Class schedule |
Facts vs. Opinions Session 1: Facts vs. Opinions 1 Session 2: Facts vs. Opinions 2 Session 3: Facts vs. Opinions 3 Session 4: Review and Quiz Arguments Session 5: Structure of Arguments Session 6: Logical Reasoning / Venn Diagrams Session 7: Fallacies 1 Session 8: Fallacies 2 Session 9: Evaluating Strength of Arguments Session 10: Review and Quiz Emotions and Values Session 11: Logic and Morals Session 12: Cultural Values Session 13: Critical Media Literacy Session 14: Final Review Activity/Test Final Exam Week: TOEIC online |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided by instructor. |
| 成績評価の方法・基準 ／Grading method/criteria |
Participation activities: 25% Exercises: 20% Quizzes: 30% Final Review Activity/Test: 25% Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| 履修上の留意点 ／Note for course registration |
None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
All materials will be available on the course Moodle page. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
BENSON Stuart |
| 担当教員名 ／Instructor |
BENSON Stuart |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/03/20 |
|---|---|
| 授業の概要 ／Course outline |
In addition to knowing general vocabulary, knowledge of specific vocabulary related to the field of Computer Science is critical. Comprehension of texts, articles, presentations, lectures, and classes is critical to your success in the field. In this Computer Science vocabulary course, we will learn the most important words in the field through numerous activities of reading, writing, listening, and speaking. In addition, a computer science word list will be the focus of the course, with the goal of learning and actively using these words on context. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-010-2, C-EC-011-3, C-EC-012-3 The goal of this course is to learn the most frequent Computer Science vocabulary and use these words, receptively and productively. By the end of the course, learners will: a) have knowledge of several vocabulary learning strategies b) have an understanding of the most frequent vocabulary in Computer Science c) be able to comprehend these words in reading and listening activities d) be able to use these words in speaking and writing activities |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to the course Class 2-4: vocabulary strategies to learn CS vocabulary Class 5-9: Learning CS vocabulary through speaking/listening activities Class 7: Mid-term vocabulary test Class 10-13: Learning CS vocabulary through reading/writing Class 14: Review activity / End of term test Final exam week: TOEIC online |
| 教科書 ／Textbook(s) |
All materials will be provided by the professor via Moodle and in-class |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 15% 4 Weekly vocabulary quizzes: 30% Mid-term vocabulary test: 25% End-term vocabulary test: 30% Students are required to take the TOEIC test in class during the final exam week to pass this course. Student obligations It is the responsibility of students to read the syllabus and complete all assignments, quizzes, and tests on time. If you do not bring the materials you need to class, you will be considered ‘absent.’ If you are exceed the maximum number of absences allowed, the final grade will be an F regardless of your final score for the course. Academic integrity Cheating/plagiarizing other’s work is not allowed. Sometimes the instructor will ask you to complete work in pairs or small groups, and sometimes individually. When working by yourself, you are not allowed to copy other students’ work. |
| 履修上の留意点 ／Note for course registration |
You will need to spend time learning the vocabulary outside of class time. |
| Open Competency Codes Table Back |
| 開講学期 ／Semester |
2023年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3rd year , 4th year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
BLAKE John |
| 担当教員名 ／Instructor |
BLAKE John |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2023/03/20 |
|---|---|
| 授業の概要 ／Course outline |
The primary aim of this content-based course is to enable participants to create a prototype authorship analysis tool using Python. Participants are first introduced to similarity detection and authorship attribution. Texts are then analyzed linguistically by both genre type and author. Case studies involving solving crimes using forensic evidence are used. Participants then develop a natural language processing (NLP) pipeline to detect similarities and differences of language features among a dataset of texts. Detection will involve both rule-based parsing and machine learning. Participants will practice the four language skills required to function in an English language environment. The course culminates in a software demonstration. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-009-1, C-EC-002-2 By the end of the course participants will: (a) understand how language analysis can be used to solve crimes (b) explain how authorship can be detected (c) create a natural language processing pipeline in Python to analyze authorship |
| 授業スケジュール ／Class schedule |
This content of the course will be tailored to the requirements of the participants by the class teacher. Block 1 Authorship and language Session 1 Solving crimes using authorship analysis Session 2 Types of authorship analysis Session 3 Language as a fingerprint Session 4 Similarity detection Session 5 Case study I Session 6 Case study II Session 7 Review Block 2 Prototype development Session 8 Introduction to NLP using Python Session 9 Introduction to the Natural Language Toolkit (NLTK) Session 10 Scenario: Problem breakdown Session 11 Prototype development I Session 12 Prototype development II Session 13 Prototype development III Session 14 Demonstrations Session 15 Final Exam |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 30% Coursework: 30% Final exam: 40% Students are required to take the TOEIC test in class during the final exam week to pass this course. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
https://u-aizu.ac.jp/~jblake/course_authorship/authorship_unit_01.html |