2024年度 シラバス大学院

SE教育研究領域　(ソフトウェアエンジニアリング)

2024/11/24  現在

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開講学期
／Semester		 2024年度／Academic Year 　3学期 ／Third Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 松本　和也
担当教員名
／Instructor		 松本　和也, 中里　直人
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/26
授業の概要
／Course outline		 Parallel and Internet computing is a science concerning in solving a problem by giving parts of the problem to many computers to solve, and then combining the solutions for the parts into a solution for the problem. The course focuses on comparative and historical analysis of different approaches to parallel computing. Some specific topics related to the reliability and accuracy of parallel computations are discussed. We also show and compare different parallel programming paradigms including SIMD, Message Passing and Shared Memory Programming.
授業の目的と到達目標
／Objectives and attainment
goals		 At the end of this course, the student should be able to:
- Estimate the quality of parallel and distributed algorithms and programs,
- Distinguish advantages and difficulties of parallel computing,
- Explain some details of data parallel processing,
- Know how to design coarse- and fine-grained parallel algorithms,
- Understand parallel programming with SIMD instructions.
授業スケジュール
／Class schedule		 1. Introduction to Modern High-Performance Computing
2. Metrics of Parallel Programs and Algorithms
3. Network Topologies and Properties
3. Classifications of Parallel Programming Models
4. Collective Operations on Networks
5. OpenMP Programming for Shared-Memory Systems
6. SIMD Programming in OpenMP
7. Sources of Parallelism and Locality
8. Floating-Point Arithmetic
9. Task Parallelism
10. Volunteer Computing
11. Hybrid Parallelization with MPI and OpenMP
12. Design Project Presentation
教科書
／Textbook(s)		 Materials collected from books, journals and proceedings papers and provided by the instructor.
成績評価の方法・基準
／Grading method/criteria		 Assignments must be submitted by the stated deadline. To pass this course, all the requirements must be satisfactorily completed.
The course final grade is determined by the following parts:
1. Two Exercises (60 points)
2. Design Project (40 points)
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1. An Introduction to Parallel Programming, by P. Pacheco, Morgan Kaufmann, 2011.
2. Introduction to High Performance Computing for Scientists and Engineers, by G. Hager, and G. Wellein, CRC Press, 2017.
3. The OpenMP Common Core, by T. Mattson, Y. He, and A. Koniges, MIT Press, 2019.
4. Using OpenMP The Next Step: Affinity, Accelerators, Tasking, and SIMD, by R. Pas, E. Stotzer , and C. Terboven , MIT Press, 2017.
5. Performance Tuning of Scientific Applications, by D. Bailey, R. Lucas, and S. Williams, CRC Press, 2010.
6. Designing and Building Parallel Programs, by F. Ian, https://www.mcs.anl.gov/~itf/dbpp/
7. Computer Architecture: A Quantitative Approach, by J. Hennesy, and D. Patterson, 6th edition, Morgan Kaufmann, 2019.
8. Parallel and Distributed Computing, by C. Leopold, Wiley-Interscience, 2000.
9. Distributed and Cloud Computing, by K. Hwang, G. Fox, and J. Dongarra, Morgan Kaufmann, 2011.


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開講学期
／Semester		 2024年度／Academic Year 　2学期 ／Second Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 鈴木　大郎
担当教員名
／Instructor		 鈴木　大郎
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/25
授業の概要
／Course outline		 宣言的プログラミングの目的は、プログラミングという作業を、解きたい問題がもつ数学的、論理的な性質を宣言的に記述する作業にすることである。宣言的に書かれたプログラムに対して、数学的、論理的な手法を使ってプログラムに関する性質やその正当性を調べることができる。
代表的な宣言的プログラミングは、関数型プログラミング、論理型プログラミング、関数論理プログラミングなどである。この科目では、代表的な関数型プログラミング言語であるHaskellを使って、関数型プログラミングの基礎を学ぶ。
授業の目的と到達目標
／Objectives and attainment
goals		 この科目の目的は、履修学生が宣言的プログラミング、とくに関数型プログラミングの基礎についての知識を得ることである。
この科目の終了後、学生は以下のことができるようになる。

1. 手続き的プログラミングと宣言的プログラミングの違いを説明できる。
2. 関数型プログラミングの本質が何かについて説明できる。
3. 高階関数、多相型、遅延評価などが何を意味するか説明できる。
4. 高階関数、ユーザ定義の多相型、無限のデータ構造などを使った関数型プログラムを書くことができる。
5. 関数型プログラムの性質に関する数学的な推論を行うことができる。
6. 標準的なアルゴリズムを使った関数型プログラムを書くことができる。
授業スケジュール
／Class schedule		    1. 宣言的プログラミングと関数型プログラミングの概要
   2. データ型と定義
   3. リストによるプログラミング I: リスト内包表記、多層型など
   4. リストによるプログラミング II: リスト上の再帰的プログラミング
   5. 関数型プログラムの推論
   6. 高階関数プログラミング (1): 引数としての関数
   7. 高階関数プログラミング (2): 戻り値としての関数
   8. 高階関数プログラミング (3): 事例学習
   9. 型クラス
  10. 代数的データ型
  11. 遅延評価
  12. 遅延評価と無限のデータ構造によるプログラミング
  13. I/O モナド
  14. 一般的なモナド

各回の授業とその内容との対応は、授業の進み具合により変更になることがある。
教科書
／Textbook(s)		 S.Thompson, The Craft of Functional Programming, 3rd Edition.
Addison-Wesley, ISBN: 978-0201882957
成績評価の方法・基準
／Grading method/criteria		 成績評価は以下の２つで行う。

1. 関数型プログラミングの課題: 授業ごとに課題を課す。履修者は１週間後までに課題を提出しなければならない。
2. 教科書の１章分の発表: すべての履修者に１回の発表が課せられる。

評価基準は以下の通り

70% 課題
30% 発表
履修上の留意点
／Note for course registration		 履修者は、学部の授業である PL05 コンピュータ言語論を履修していることが望ましい
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1. Haskell 2010 Language Report
   URL: http://www.haskell.org/onlinereport/haskell2010/
2. J.Hughes, Why Functional Programming Matters
   URL: http://www.md.chalmers.se/~rjmh/Papers/whyfp.html
3. R.Bird, Introduction To Functional Programming. Prentice Hall, ISBN: 978-0134843469
4. M.Lipova, Learn You a Haskell for Great Good!. No Starch Press, ISBN: 978-1593272838
5. G.Hutton, Programming in Haskell. Cambridge University Press, ISBN: 978-0521692694
6. R.Bird, Pearls of Functional Algorithm Design. Cambridge University Press, ISBN: 978-0521513388

(4と6は日本語訳あり）


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開講学期
／Semester		 2024年度／Academic Year 　4学期 ／Fourth Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 ハミード　サジ
担当教員名
／Instructor		 ハミード　サジ
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/26
授業の概要
／Course outline		 This course is an introduction to atmospheric and oceanic simulations and to parallel programming concepts.  Students will develop simple models for oceanic and atmospheric phenomenon.
授業の目的と到達目標
／Objectives and attainment
goals		 The students will learn about ocean and atmosphere simulations.
The course will heavily involve coding projects and assignments.
授業スケジュール
／Class schedule		 1. Numerical solution of differential equations
2. Oceanic and Atmospheric Modeling
3. Introduction to Heterogeneous Computing
教科書
／Textbook(s)		 Numerical Analysis for Engineers and Scientists, G. Miller, Cambridge University Press
Ocean Modeling for Beginners using Open-Source Software J Kampf, Springer
成績評価の方法・基準
／Grading method/criteria		 Assignments (40%),  Project Reports (60%)
履修上の留意点
／Note for course registration		 Computer architecture, mathematics, algorithms and programming (undergraduate).
High Performance Computing (CSC09, Graduate school)

Students are expected to have good knowledge of programming in C or Fortran. Exposure to parallel programming and numerical algorithms are desireable.
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 http://developer.amd.com/tools-and-sdks/opencl-zone/opencl-resources/introductory-tutorial-to-opencl/
https://opencl.codeplex.com/wikipage?title=OpenCL%20Tutorials


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開講学期
／Semester		 2024年度／Academic Year 　前期集中 ／1st Semester Intensive
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 1.0
責任者
／Coordinator		 竹村　司（株式会社花王）
担当教員名
／Instructor		 竹村　司（株式会社花王）, 吉岡　廉太郎
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/16
授業の概要
／Course outline		 One of the most important issues the software industry affronts is diversity of platforms. Model-driven software development is spotlighted as a technology to deal with diversity of platforms because we need to construct software systems across multiple platforms in different architecture or software system tolerates change of platforms.
In the model-driven software development, we can deal with diversity of platforms by building platform-independent models and transforming them into platform-specific models. The technology also aims to improvement of productivity by generating code from the models.
*Lectures will be given in Japanese
This course covers model-driven software development from embedded software development to business application development.
授業の目的と到達目標
／Objectives and attainment
goals		 ※Lectures are given in Japanese
The aim of the course is to learn basics of object oriented analysis, object oriented design, and model driven development.
At the end of the course the student can:
1. Explain relationship between abstraction and modeling.
2. Explain overview of object oriented analysis.
3. Explain overview and purpose of each diagram defined in UML.
4. Create use cases, class diagrams, sequence diagrams, and state machine diagrams by using UML.
5. Reason properties of functional programs in mathematical way.
6. Write functional programs using standard algorithms.
授業スケジュール
／Class schedule		 The schedule of the course below is given in 7 lectures:

1.Model and Abstraction
2.Overivew of UML Diagrams
3.Model and Meta Model
4.Object Oriented Analysis and Design
5.Use Case Diagram and Use Case Description
6.Domain Modeling
7.Business Process Model
8.Embedded System and Modeling
教科書
／Textbook(s)		 Hand out materials every lecture
成績評価の方法・基準
／Grading method/criteria		 The students are evaluated by the following:


1. Assignment on modeling. Each assignment is assigned in every class. The students should submit them by the next lecture.
2. Presentation of result of object oriented analysis.
履修上の留意点
／Note for course registration		 Nothing Special
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 Work experience: I have work experiences at IBM, Fuji Fire & Marine Insurance Co, AIG General Insurance Company, Advanced Science, Technology & Management Research Institute of KYOTO(ASTEM).

1.Unified Modeling Language
http://www.omg.org/spec/UML/About-UML/

2.Model Driven Architecture
http://www.omg.org/spec/UML/About-UML/


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開講学期
／Semester		 2024年度／Academic Year 　後期集中 ／2nd Semester Intensive
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 出村　裕英
担当教員名
／Instructor		 出村　裕英, 平田　成, JAXA/NAOJ講師
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/02/06
授業の概要
／Course outline		 (including remote classes)

This course focuses on project management, software engineering for lunar and planetary explorations. Envisioned main target is the moon. This course follows an omnibus form given by invited lecturers (teleclasses) from JAXA.
授業の目的と到達目標
／Objectives and attainment
goals		 To learn project management, software engineering for lunar and planetary explorations.
To learn basic knowledge in space developments as topics of computer science and engineering.
授業スケジュール
／Class schedule		 (Intensive Course with 28 periods)
Space Development, Exploration Programs, Lunar and Planetary Sciences, etc.
Lecturers from JAXA:
Prof. Haruyama (PI of SELENE Camera to the Moon),
Prof. Sakurai (PM of ECLSS [Environmental Control and Life Support System] on ISS [International Space Station] around the Earth),
Prof. Sakai (PM of SLIM to the Moon)
Prof. Hashimoto (PM of OMOTENASHI to the Moon) (JAXA)
教科書
／Textbook(s)		 N/A
成績評価の方法・基準
／Grading method/criteria		 Comprehensive evaluation based on class activities (presentations, Q&A) and reports.
履修上の留意点
／Note for course registration		 Related courses:
ITC08A "Remote Sensing"
ITC09A "Fundamental Data Analysis in Lunar and Planetary Explorations"
ITC10A "Practical Data Analysis with Lunar and Planetary Databases"
ITA19 "Reliable System for Lunar and Planetary Explorations"
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 The course instructors has working experiences: Instructors are familiar with JAXA Space Development Projects.

https://global.jaxa.jp/activity/pr/jaxas/no085/04.html
https://www.isas.jaxa.jp/home/slim/SLIM/index.html
https://humans-in-space.jaxa.jp/en/
https://www.selene.jaxa.jp/index_e.htm


コンピテンシーコード表を開く 科目一覧へ戻る

開講学期
／Semester		 2024年度／Academic Year 　前期集中 ／1st Semester Intensive
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 成瀬　継太郎
担当教員名
／Instructor		 成瀬　継太郎, NSソリューションズ講師, ジャパンテクニカルソフトウェア講師
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/25
授業の概要
／Course outline		 　ソフトウェアは我々の社会のいたるところで使われており，ソフトウェア品質は社会に大きな影響を与え得る．しかし，限られた予算と期間の中で高品質のソフトウェアを開発することは容易なことではない．
　この講義ではソフトウェアの品質とは何か，それを保証し管理するために何をすべきかを学ぶ．また演習を行うことにより，理解を深める．
　さらにソフトウェア開発企業が商用情報システムを開発する際にソフトウェア品質に関して問題を考え，行っていることも学ぶ．
授業の目的と到達目標
／Objectives and attainment
goals		 この講義を履修することににより受講生は以下のことを理解できるようになる．
- ソフトウェア品質の概念と重要性
- ソフトウェア品質を保証するための活動
- ソフトウェアのテストの概念と手法
そして演習を通じて上の項目を理解を深める．
授業スケジュール
／Class schedule		 1. ソフトウェアの品質
2. ソフトウェアの品質を保証するプロセス
3. ソフトウェアの静的検査とそのツール
4. バージョン管理
5. ソフトウェアテスト概論
6. ソフトウェアテスト手法(1)
7. ソフトウェアテスト手法 (2)
8. ソフトウェアテストツール
9-12. 単体テストの演習
13-14. 結合テストの演習
教科書
／Textbook(s)		 教科書はなし．必要な資料は講義中に配布する．
成績評価の方法・基準
／Grading method/criteria		 評定は以下の配分で行われる．
クイズが40%，レポートが40%，発表が20%
履修上の留意点
／Note for course registration		 この講義は日本語で行われる．
受講生はソフトウェア工学の基礎を理解し，プログラム言語JAVAを理解していることが望まれる．
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 昨年度の講義で使った資料の一部
http://web-ext.u-aizu.ac.jp/~naruse/SEA14

この講義は実際に企業でソフトウェアを開発している現役の開発者により行われる(*1, *2)．とくに項目3-4と9-12は彼らの実務経験を大きく反映したものである．
*1: 新日鐵住金ソリューションズ, https://www.nssol.nssmc.com/
*2: ジャパンテクニカルソフトウェア, https://www.jtsnet.co.jp/


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開講学期
／Semester		 2024年度／Academic Year 　3学期 ／Third Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 渡部　有隆
担当教員名
／Instructor		 渡部　有隆, モズゴボイ　マキシム
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/25
授業の概要
／Course outline		 Our current software engineering methods and techniques have made us much better at building systems of different sizes and complexity. They are mostly intended to support professional software development rather than individual programming. There are many software projects that are late, are over budget and do not deliver the software that meets the customer’s needs. There is, therefore, still a pressing need for software engineering education. This course covers a variety of topics in modern software engineering, from software development processes to AI-driven development.
授業の目的と到達目標
／Objectives and attainment
goals		 The course can be useful for undergraduate and graduate students. It may be used in general software engineering, software specification, software design and management. The objective of the course is to impact knowledge to students about methods in software development including basic and advanced topics. The methods range from how to precisely specify software requirements to how to evaluate the methods and their products and required resources. Students will be able to develop software using the theory and development methods learned in this course and apply their experience in this course to their research activities in support of software development.
授業スケジュール
／Class schedule		 The course lectures are covering the following topics:

Professional software development
Software processes
Agile software development
Requirements engineering
System modeling
Architectural design
Design and implementation
Software testing
Dependability engineering
Software reuse
Component-based software engineering
Service-oriented architecture
AI-driven development

Presentation Topic: Students have to present advanced material based on reading of current software engineering journals and professional magazines.

*Important topics will be selected from the above. They are subject to change depending on the schedule.
教科書
／Textbook(s)		 1. Software Engineering Theory and Practice by S. L. Pfleeger, Publisher: Prentice Hall.
2. Software Engineering, 6-10th editions by Ian Sommerville, Publisher: Addision-Wesley.
3. Software Engineering & Testing: An Introduction by B.B. Agarwal, S. P. Tayal, M. Gupta. Publisher:
4. Software Engineering: A Practitioner's Approach, 6th edition by Roger S. Pressman, Publisher: McGraw-Hill
5. Lecture notes distributed by the instructor (Lecture notes have been prepared from the above textbooks and from recently published papers in IEEE Transactions on Software Engineering, IEEE Computer, and IEEE Software)
成績評価の方法・基準
／Grading method/criteria		 1. Two Tests (35 points each),
2. Presentation Topic ( 30 points)
履修上の留意点
／Note for course registration		 Knowledge of object-oriented concepts is necessary.


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開講学期
／Semester		 2024年度／Academic Year 　2学期 ／Second Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 モズゴボイ　マキシム
担当教員名
／Instructor		 モズゴボイ　マキシム, 吉岡　廉太郎
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/24
授業の概要
／Course outline		 One of the key tendencies in the software development area is a priority of Web applications. The corresponding branch of software engineering is growing very fast. We are facing increasing demands for professionals who can design Web systems.

The course is intended for students who want to understand and apply in practice the technological basis of modern Internet applications.  

We will go through typical steps of a Web application development process with a modern Python-based Django framework. The students will create applications reflecting typical real-life scenarios and obtain necessary knowledge to up-to-date tools and technologies.
授業の目的と到達目標
／Objectives and attainment
goals		 The primary objective of the course is to understand the process of Web application development by following all major steps from database design to GUI programming. The course is project-based: each student will develop his/her own Web application containing all necessary core components.
授業スケジュール
／Class schedule		 The main topics covered in the course are as follows:

Session 1: Course Introduction
Session 2: Django App Architecture. App Specifications.
Session 3: Exercise: Writing Specs (Database Schema).
Session 4: First Experiments with Django.
Session 5: Exercise: Implementing Database Schema.
Session 6: Writing View Functions.
Session 7: Exercise: Implementing View Functions.
Session 8: Templates, GUI, and Sessions.
Session 9: Exercise: Implementing Views with GUI and Sessions.
Session 10: Demo: Implementing Dentistry App Functionality.
Session 11: Exercise: Implementing Your App Functionality.
Session 12: Rich GUI with Django Packages.
Session 13: Exercise: Enriching GUI of Your App
Session 14: Demo: Implementing Rich GUI for Dentistry App.
Session 15: Exercise: Finishing the Unfinished Parts.
教科書
／Textbook(s)		 • Peter Gasston. The Modern Web: Multi-Device Web Development with HTML5, CSS3, and JavaScript. No Starch Press, 2013.
• Andrew Pinkham. Django Unleashed. SAMS Publishing, 2015.
• Antonio Mele. Django by Example. Packt Publishing, 2015.
成績評価の方法・基準
／Grading method/criteria		 The final grade will be calculated based on the following weights:
• Assignments: 50%
• Quizzes: 20%
• Final examination: 30%
履修上の留意点
／Note for course registration		 We assume that the students know how to write a computer program and debug it. We assume that students like programming. Knowledge of object-oriented concepts and web technologies is necessary. Knowledge of Python and JavaScript languages is strongly recommended but not mandatory.


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開講学期
／Semester		 2024年度／Academic Year 　4学期 ／Fourth Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 渡部　有隆
担当教員名
／Instructor		 渡部　有隆, 西舘　陽平
推奨トラック
／Recommended track		 －
先修科目
／Essential courses		 －
更新日／Last updated on 2024/01/26
授業の概要
／Course outline		 This lecture series begins with an introduction to software development, laying the foundational concepts and methodologies involved in creating software. It then progresses to emphasize the importance of creating high-quality code, highlighting techniques and practices that ensure code is not only functional but also maintainable and efficient. Defensive programming is covered as a strategy to anticipate and handle potential errors or issues, ensuring the software's robustness and reliable. The series also explores various programming strategies that can optimize the development process. The series culminates in a project that involves presenting a topic related to state-of-the-art software development tools and adhering to a coding guideline, applying the principles learned throughout the course to a practical scenario.
授業の目的と到達目標
／Objectives and attainment
goals		 Students will acquire the skills to produce high-quality code that is not only functional but also efficient, error-free, reliable and maintainable. Emphasis on defensive programming will enable them to anticipate and mitigate potential errors and vulnerabilities within their code. Through exploring various programming strategies, students will learn to approach problems with a versatile mindset, enhancing their problem-solving capabilities. Finally, by undertaking a project to develop their own coding guidelines, they will gain the ability to establish standards that promote best practices and consistency in software development.
授業スケジュール
／Class schedule		 1. Introduction to Software Development
– Program Phase
– How to Write a Good Program
– Programming Tools
– Information Hiding
– Programming Style
– Internal Documentation
– Monitoring and Control for Coding
– Structured Programming
2. Creating High-Quality Code
– High-Quality Routines
– Valid Reasons to Create a Routine
– Good Routine Names
– How to Use Routine Parameters
– Special Considerations in the Use of Functions
– Macro Routines and Inline Routines
3. Defensive Programming
– Protecting Your Program from Invalid Inputs
– Assertions
– Error-Handing Techniques
– Exceptions
– Barricade Your Program to Contain the Damage Caused by Errors
– Debugging Aids
4. Programming Strategies
– How to write error-free codes
– How to write readable codes
– Rules, conventions, recommendations
5. Extreme Programming
– Goals and Activities
– Extreme Programming Rules
– Coding and Testing
– Criticism and Experience
6. Project
– Presentation Topic for Software Development Tools
– Coding Guideline
教科書
／Textbook(s)		 • Software Engineering, 6-8th editions by Ian Sommerville, Addision-Wesley.
• Software Engineering & Testing: An Introduction by B.B. Agarwal, S.P. Tayal, M. Gupta.
• Software Engineering: A Practitioner’s Approach, 6th edition by Roger S. Pressman, McGraw-Hill
• Extreme Programming Explained: Embrace Change (2nd Edition) by Kent Beck.
• Dode Complete, 2nd editions by Steve McConnell.
• Lecture notes distributed by the instructor
成績評価の方法・基準
／Grading method/criteria		 • Exercise Assignment 30 %
• Presentation Topic 30 %
• Coding Guideline 40 %


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