2018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)

2019/01/30  現在

科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　1学期 ／First Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 アレクサンダー　ヴァジェニン
担当教員名
／Instructor		 アレクサンダー　ヴァジェニン, 吉岡　廉太郎
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 2017/12/15
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 many current topics of interest in software engineering. Some of the topics covered are formal methods to specify requirements of software systems, software design strategies, and evaluation of processes, products, and resources.
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. The course program includes lectures given on several current topics of interest. Students will also be asked to make a presentation on a topic interesting to them.
授業スケジュール
／Class schedule		 The course lectures are covering the following topics:

Part 1. The Software Process
• Professional software development
• Software Standards
• Software Process Models
• Managing People and Teamwork
• Requirements Engineering
• Agile Development

Part 2. Software Design Strategies
• Architectural Design
• Software Reuse
• Component-based Design
• Model-driven Design

Part 3. Software Testing
• Software Testing Strategies
• Software Testing Techniques
• Component testing
• Test case design
• Acceptance, Installation, Performance, Functional Testing
• Test automation
• Product Metrics for Software
• Software Testing Tools and Environments


Part 4. Security in Project Management
• Critical points in project management.
• Life cycle of secure software
• Dependable Processes and Programming
• Fault Tolerance Concepts and Architecture
• Secure software development

Presentation Topic: Students have to present advanced material based on reading of current software engineering journals and professional magazines.
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. Students should complete the Java and/or C Programming 1 and 2 courses and Software Engineering 1.
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1. Human Aspects of Software Engineering by James E. Tomakyo、 Orit Hazaan, publisher: Charles River Media.  
2.Quality Software Management, by Gerald M. Weinberg, publisher: Dorset House Publishing.
3. http://sealpv0.u-aizu.ac.jp/moodle/ -- Detailed information about the course


科目一覧へ戻る
開講学期
／Semester		 2018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		 アレクサンダー　ヴァジェニン
担当教員名
／Instructor		 アレクサンダー　ヴァジェニン, 吉岡　廉太郎
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 2017/12/15
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 many current topics of interest in software engineering. Some of the topics covered are formal and practical methods software design and evaluation of processes, products, and resources.
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 impart 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. The program of this part is combined with some practical exercises on visual and service-oriented design strategies.
授業スケジュール
／Class schedule		 The course lectures are covering the following topics:

Part 1. Human-Centric Design
• Interface Types
• Message System Features
• MVC design pattern
• User Interface design process and evaluation
• Visual Programming Systems as example of the human-centric design

Part. 2. Software Evolution
• Evolution processes
• Program evolution dynamics
• Software maintenance
• Legacy system management

Part 3. Service Oriented Design Pattern
• Client-Server Architectures
• Distributed Object Architectures
• Service-Oriented Architectures and Design Pattern
• Virtual MVC design Methodology
• Software Agents, Agent Systems and Applications

This part of course practical exercises includes on visual and service-oriented design strategies.
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. Service-Oriented Computing by M. Singh, M. Huhns, Publisher: John Wiley & Sons, Ltd
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.One test (50 points each),
2.Engineering Topic (50 points)
履修上の留意点
／Note for course registration		 Students should have knowledge in Object-oriented programming. The course of Software Engineering is also required.
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1.User Interface Design and Evaluation by Debbie Stone, Caroline Jarrett, Mark Woodroffe, Shailey Minocha,publisher: Elsevier.
2. Human Aspects of Software Engineering by James E. Tomakyo、 Orit Hazaan, publisher: Charles River Media.  
3.Quality Software Management, by Gerald M. Weinberg, publisher: Dorset House Publishing.


科目一覧へ戻る
開講学期
／Semester		 2018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		 ヴィタリー　クリュエフ
担当教員名
／Instructor		 ヴィタリー　クリュエフ, マキシム　モズゴボイ
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 2018/02/06
授業の概要
／Course outline		 Software industry is growing very fast. It is getting impossible to study the tools in detail to implement new software projects. Students should manage a large amount of tools in order to figure out how to start using them knowing only a little at the beginning and how to get detailed information about features when they need them. In the other words, students have to understand key ideas and they have to be able to apply them in practice.

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 large Web systems.

The aim of this course is to study current concepts and methods for Internet application engineering.
授業の目的と到達目標
／Objectives and attainment
goals		 We assume that the students know how to write a computer program and debug it. We assume that students like programming. The course is intended for students who want to understand and apply in practice the technological basis of modern Internet applications.  
授業スケジュール
／Class schedule		 The main topics covered in the course are as follows:

Lecture 1;
Introduction

Lecture 2:
Web App Architectures

Lecture 3:
Introduction to Dart Technology

Lecture 4:
Dart Ajax-powered App

Lecture 5:
Knockout.js Technology

Lecture 6:
Click Counter App using Knockout.js


Lecture 7:
Introduction to WordPress

Lecture 8:
A WordPress Blog

Lecture 9:
Creating a Website with WordPress

Lecture 9:
Responsive Web Design

Lecture 10:
Bootstrap vs.W3.CSS

Lecture 11:
Introduction to Server-side Technologies

Lecture 12:
Technologies to work with Big data

Lecture 13:
Introduction to Terrier

Lecture 14:
About the Future
教科書
／Textbook(s)		 The Modern Web: Multi-Device Web Development with HTML5, CSS3, and JavaScript by Peter Gasston, No Starch Press, 2013.

Dart 1 for Everyone Fast, Flexible, Structured Code for the Modern Web by Chris Strom, The Pragmatic Programmers, LLC., 2014.

Anatomy of a web application using node.js, ExpressJS, MongoDB & Backbone.js by Jason Crol, 2015.

Knockout.js: Building Dynamic Client-Side Web Applications by Jamine Munro, O’Reilly Media, 2015.
成績評価の方法・基準
／Grading method/criteria		 The final grade will be calculated based on the following contributions:
Exercises – 50%,
Quizzes during lectures – 15%,
Final examination – 35 %.
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. The course is intended for students who want to understand and apply in practice the technological basis of modern Internet applications.  
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 http://web-int.u-aizu.ac.jp/~vkluev/courses/SEIA/


科目一覧へ戻る
開講学期
／Semester		 2018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, アレクサンダー　ヴァジェニン
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 2017/12/15
授業の概要
／Course outline		 This core software engineering course is up to date text uses both theory and applications to design reliable, error-free software taking into account available resources like a skill of programming team, developing environment as well as a time schedule. Starting with an introduction to the various types of software, the course moves through computer-aided software engineering and writing effective source code to a term-based software development. A chapter on applications covers software development tools allowing students to get practical experience in usage modern techniques used in various applications including different platforms like Eclipse, Visual Studio, etc.
授業の目的と到達目標
／Objectives and attainment
goals		 The course can be useful for undergraduate and graduate students. The objective of the course is in imparting knowledge to students about methods in practical programming.
These methods range from how to precisely specify and evaluate problem requirements to how to organize the programming process of the problem solution in limited time as well as required and available resources. The course program is oriented not only how  to provide and accumulate knowledge but also how to use this experience in practical programming. The course exercises include individual and team programming strategies as well as collaborative verification and debugging techniques. They have the good opportunity to check their real abilities in solving practical problem.
授業スケジュール
／Class schedule		 Part 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

Part 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

Part 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

Part 4. Programming Strategies
– How to write error-free codes
– How to write readable codes
– Rules, conventions, recommendations

Part 5. Extreme Programming
– Goals and Activities
– Extreme Programming Rules
– Coding and Testing
– Criticism and Experience

Part 6. Team-based Software Design
– Software Team Organization
– Selecting staff
– Motivating people
– Managing groups
– The people capability maturity model
– Groupthink

Part 7. Software Development Tools
– Classification
– Software Projects Management Systems: Eclipse, etc.
– Concurrent Version Support systems.
– Visual programming Tools and Debugging environment
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
– Lecture notes have been prepared from the above textbooks and from recently published journals.
成績評価の方法・基準
／Grading method/criteria		 Exercise Assignment 50 %
Presentation Topic 50 %


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　1学期 ／First Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 アレクサンダー　ヴァジェニン
担当教員名
／Instructor		 アレクサンダー　ヴァジェニン
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 2017/12/15
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 and Internet computing. Some specific topics of Software Engineering related to the reliability and accuracy of parallel computations are discussed. We show and compare also different parallel programming paradigms including SIMD, Message Passing and Shared Memory Programming as well as Client-Server and Distributed Objects Architectures.
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 and Internet computing,
- Explain some details of data parallel processing,
- Know how to design coarse- and fine-grained parallel algorithms,
- Manage the client-server and Internet application design.
授業スケジュール
／Class schedule		 1.Introduction in Modern High-Performance Computing
2.Metrics of Parallel Programs and Algorithms
3.Network Topologies and Properties
4.Individual and Collective Operations on Networks
5.Classifications of Parallel Programming Models
6.Parallel Programming Models: SIMD -programming
7.Distributed Programming Models: Multiprocessor architectures
8.Client-server Programming Models
9.Parallel Computing and Accuracy of Results
10.Advanced Distributed Computing Paradigms
11.Multi-core Programming Platform (optional)
12.WEB-based High-Performance Computing (optional)
教科書
／Textbook(s)		 1.Materials collected from books, journals and proceedings papers and provided by the instructor
2.Parallel and Distributed Computing, by Claudia Leopold, John Wiley and Sons, Inc.
3. Scalable Parallel Computing, by K. Hwang, Zh. Xu, McGraw-Hill.
4. An Introduction to Parallel Programming by Peter Pacheco, Publisher: Elsevier
成績評価の方法・基準
／Grading method/criteria		 Students should be prompt for lectures, labs, and exams. Programming assignments must be turned in by the stated date and time. To pass this course, all the requirements must be satisfactorily completed.
The course final grade includes the following parts
1.Quiz (40 points each)
2.Design Project (60 points)
履修上の留意点
／Note for course registration		 General computer organization, algorithms and data structures, Software Engineering I and II as well as a high-level language like C, Java, etc.
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1.http://sealpv0.u-aizu.ac.jp/moodle/ - Course management system.
2.Computer Networks and Internets, by D. E. Comer, Prentice-Hall.
3.Parallel Processing in Cellular Arrays, by Ya. Fet, Taunton, UK, Research Studies Press.


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　1学期 ／First Quarter
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 サバシュ　バーラ
担当教員名
／Instructor		 サバシュ　バーラ
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 2018/01/30
授業の概要
／Course outline		 It is a foundation course.
   Advanced topics such as  mobile communication systems and replication
   of databases provide case examples.
   Concepts are studied by taking these example cases for analysis.
   It covers the internal architecture of Distributed systems.
   
授業の目的と到達目標
／Objectives and attainment
goals		    To understand the following,
   - Architecture of a Distributed System,
   - Fault-tolerance in a multinode system,
   - Data Recovery and Process Recovery,
   - Dependency Tracking in Message Passing Systems,
   - Data Transparency and site Autonomy,
   - Transaction Management in Distributed Databases,
授業スケジュール
／Class schedule		 week  1      Introduction to Dist. Systems   1, and 2 Text:by Coulouris
week  2    Distributed O S              
week  3     Time and Global States          
week  4  Operation Systems Support       
week  5   Distributed File Systems       + QUIZ
week  6    Transactions and Concurrency    
week  7      Replication,    Failures and Recovery           
                                        *** + End-Term Examination
教科書
／Textbook(s)		 - Various materials prepared by the instructor.
   - Distributed Systems: Concepts and Design, by G.Coulouris, J.Dollimore,
     T. Kindberg, Addision-Wesley, 4rd edition, 2005.
   - Reliable Distributed Systems Technologies, Web Services, Applications
     K.P. Birman, Springer, March 2005
成績評価の方法・基準
／Grading method/criteria		   - Two short quizzes ( 20 points each), One examination ( 30 points )
   - Software projects and Assignments ( 30 points )
履修上の留意点
／Note for course registration		 Prior study of following courses is recommended - computer networks and database systems
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		     Books, Course material,  lecture slides and notes recommended by the instructor(s),
   will be provided.


科目一覧へ戻る
開講学期
／Semester		 2018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		 －
履修規程上の先修条件
／Prerequisites 		－

更新日／Last updated on 2017/12/14
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。
この科目終了後、履修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 P05: 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, なぜ関数プログラミングは重要か
   URL: http://www.sampou.org/haskell/article/whyfp.html(翻訳)
   URL: http://www.md.chalmers.se/~rjmh/Papers/whyfp.html(英文)
3. R.Bird著, 関数プログラミング入門. オーム社, ISBN: 978-4274068966
4. M.Lipova著, すごいHaskellたのしく学ぼう!. オーム社, ISBN: 978-4274068850
5. G.Hutton著, プログラミングHaskell. オーム社, ISBN: 978-4274067815
6. R.Bird著, Pearls of Functional Algorithm Design. Cambridge University Press, ISBN: 978-0521513388
7. 青木峰郎, ふつうのHaskellプログラミング. ソフトバンククリエイティブ, ISBN: 978-4797336023


科目一覧へ戻る
開講学期
／Semester		 2018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		 －
履修規程上の先修条件
／Prerequisites 		－

更新日／Last updated on 2018/02/06
授業の概要
／Course outline		 This course is an introduction to the OpenCL parallel programming framework. This framework allows one to develop parallel programs for a wide variety of computing hardware including many core CPUs, GPGPUs and FPGAs.  Students will develop simple models for oceanic and atmospheric phenomenon and apply OpenCL techniques to accelerate the codes on various hardware.
授業の目的と到達目標
／Objectives and attainment
goals		 The students will learn about many-core architectures and how to program them using CUDA and OpenCL languages.
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
4. Overview of CUDA
5. Kernel based parallel programming
6. Programming in OpenCL
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
OpenCL in Action, M. Scorpino, Manning
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


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　前期集中 ／1st Semester Intensi
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 1.0
責任者
／Coordinator		 竹村　司（AIG損保）
担当教員名
／Instructor		 竹村　司（AIG損保）, アレクサンダー　ヴァジェニン
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 2018/02/28
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.)		 1.Unified Modeling Language
http://www.omg.org/spec/UML/About-UML/

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


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　前期集中 ／1st Semester Intensi
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 2.0
責任者
／Coordinator		 カネフ　カメン（静岡大）
担当教員名
／Instructor		 カネフ　カメン（静岡大）, アレクサンダー　ヴァジェニン
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 2018/02/28
授業の概要
／Course outline		 This course focuses on advanced problem domain and requirements analysis and engineering, including requirement based solution system characteristics design, documentation, validation, and management. During the course students will acquire technical, analytical, and communication skills by assuming different roles in tackling practical engineering problems. Fundamental concepts, methods, and techniques for development and analysis of project requirements are also studied. The following main topics are covered by the course:
-Requirements engineering rationale in the scope of software lifecycle and the different activities it involves
-Requirements elucidation techniques including interviews, meetings, 　　questionnaires, reverse engineering, simulations, and cognitive techniques
-Communication, negotiation, and conflict resolution skills and strategies
-Analyzing, scoping, evolving, and modeling of requirements; architectural implications
-Importance of nonfunctional requirements
-Security and privacy of information: concerns and threats
授業の目的と到達目標
／Objectives and attainment
goals		 At the end of the course students will:
-know how requirements are defined and classified
-be able to distinguish and handle standard types of requirements
-understand requirements development and analysis approaches
-be able to develop requirements (functional and nonfunctional, formal and informal, etc.)
-be aware of inter-component influences and environment impact on system solutions
授業スケジュール
／Class schedule		 -Importance of Requirements
-Requirements Activities in the System Life Cycle
-General Process of Requirements Development
-Types of Requirements
-System Requirements Development
-Requirements Analysis
-Environment of a Problem
-Dependences Analysis
-Gathering Requirements
-Practices for Requirements Development and Management
-Requirements Quality and Quality Improvement
-Knowable Requirements and Manageable Risk
-Project Development
-Project Evaluation
教科書
／Textbook(s)		 Lecture notes and a list of publications related to the course objectives will be distributed by the instructor
成績評価の方法・基準
／Grading method/criteria		 Requirements development and analysis project class work (40%), homework (30%), and examination (30%)
履修上の留意点
／Note for course registration		 Prerequisites and other related courses which include important concepts relevant to the course:
-Basic understanding of software engineering concepts and programming technologies.
Courses that could be taken before this course (desirable, but not obligatory):
-Software Engineering
-Technologies of Programming
Courses to be taken simultaneously with this course (strongly recommended):
-Software Project Management
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1. Ralph R. Young. The Requirements Engineering Handbook. Artech House, 2004, www.artechhouse.com
2. Elizabeth Hull, Kenneth Jackson, Jeremy Dick, Ian Sommerville. Software Engineering. Addison Wesley.


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　前期集中 ／1st Semester Intensi
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 1.0
責任者
／Coordinator		 カネフ　カメン（静岡大）
担当教員名
／Instructor		 カネフ　カメン（静岡大）, アレクサンダー　ヴァジェニン
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 2018/02/28
授業の概要
／Course outline		 This course introduces students to state of the art software project management practices. Roles of software project members are discussed, respective management techniques are introduced, and tasks and responsibilities of a software project manager are clarified. Advanced approaches and styles of management suitable for complex software projects are taught and students are encouraged to participate in both computer simulated and real software project management situation. The following main topics are included in the course:
-Role and function of project management in software project lifecycle
-Modern methodologies for software design, development, testing and implementation
-Risks, issues, and critical factors pertinent to successful technology projects
-Techniques for planning and management of technology projects
-Methods for managing software development teams
-Software project planning and tracking technologies
授業の目的と到達目標
／Objectives and attainment
goals		 At the end of the course students will:
-be familiar with software system lifecycles and related management activities
-understand the specific issues, risks, and factors, critical for the successful implementation of technology projects
-know the basic principles and methodologies of software design, development, testing and implementation
-master the basic of software development team management
授業スケジュール
／Class schedule		 -Software Project Management Processes
-Software Project Management Knowledge Areas
-Software Project Cost and Time Management
-Software Project Quality Management
-Software Project Risk Management
-Software Project Human Resources Management
-Final Evaluation and Examination
教科書
／Textbook(s)		 Lecture notes and a list of publications related to the course objectives will be distributed by the instructor
成績評価の方法・基準
／Grading method/criteria		 Project development and analysis class work (40%), homework (30%), and examination (30%)
履修上の留意点
／Note for course registration		 Prerequisites and other related courses which include important concepts relevant to the course:
-Basic understanding of software engineering concepts and programming technologies.
Courses that could be taken before this course (desirable, but not obligatory):
-Software Engineering
-Technologies of Programming
Courses to be taken simultaneously with this course (strongly recommended):
-Requirements Engineering
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 1. Ian Sommerville. Software Engineering. Addison Wesley
2. Gary R. Heerkens. Project Management. McGraw-Hill


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　後期集中 ／2nd Semester Intensi
対象学年
／Course for;		 1年 , 2年
単位数
／Credits		 1.0
責任者
／Coordinator		 竹村　司（AIG損保）
担当教員名
／Instructor		 竹村　司（AIG損保）, アレクサンダー　ヴァジェニン
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 2018/02/28
授業の概要
／Course outline		 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.
This course covers modeling from use cases to design models and code generation from models. The students will experience this process with tools.
授業の目的と到達目標
／Objectives and attainment
goals		 -
授業スケジュール
／Class schedule		 -
教科書
／Textbook(s)		 -
成績評価の方法・基準
／Grading method/criteria		 -
履修上の留意点
／Note for course registration		 -
参考(授業ホームページ、図書など)
／Reference (course
website, literature, etc.)		 -


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　後期集中 ／2nd Semester Intensi
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		 －
履修規程上の先修条件
／Prerequisites 		－

更新日／Last updated on 2018/02/16
授業の概要
／Course outline		 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		 #1-4 Space Development, Exploration Programs, Lunar and Planetary Sciences, etc. by Prof. Haruyama (JAXA)
#5-7 Space Explorations for asteroids, comets, and dwarf planets by Prof. Ballouz
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.)		 N/A


科目一覧へ戻る
開講学期
／Semester		 2018年度／Academic Year 　集中 ／Intensive course
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		 －
履修規程上の先修条件
／Prerequisites 		－

更新日／Last updated on 2018/02/06
授業の概要
／Course outline		 ソフトウェアは社会のいたるところで使われ、ソフトウェアの品質が社会に及ぼす影響は非常に大きい。しかし期間・予算の制約の中で、ソフトウェアの品質を担保しながら開発を行うことは容易ではない。
この講義では、ソフトウェアの品質とはなにか、品質を管理・保証するために必要な活動とはななにかについて理解し、演習を通じてソフトウェアの品質保証活動を実際に体験する。
また企業が、実際の企業情報システムの開発においてソフトウェア品質をどうとらえ、品質保証にどう取り組んでいるかを理解する。
授業の目的と到達目標
／Objectives and attainment
goals		 ・ソフトウェアの品質とその重要性について理解する。
・ソフトウェア品質保証活動について理解する。
・ソフトウェアテストの概念・手法について理解する。
・演習を通じて、ソフトウェア品質保証活動の一部を実践する。
授業スケジュール
／Class schedule		 1. ソフトウェア品質
2. 品質保証・プロセス品質
3. 静的検査手法とツール
4. 構成管理
5. ソフトウェアテスト
6. テスト技法 (1)
7. テスト技法 (2)
8. テストツール
9.-12. 単体テスト演習
13.-14. 結合テスト演習
教科書
／Textbook(s)		 資料を配布する。
成績評価の方法・基準
／Grading method/criteria		 小テスト(40%)、課題提出状況(40%)、最終日の発表内容(20%)に基づいて総合的に評価する。
履修上の留意点
／Note for course registration		 「F14 ソフトウェア工学概論」「P03 プログラミングJAVA I」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.)		 なし。


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