2017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)

2018/01/30  現在

科目一覧へ戻る
開講学期
/Semester
2017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
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 2017/01/28
授業の概要
/Course outline
This is the first part of the Course on Theory and Practice of Software Engineering. 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
TThe course lectures are covering the following topics:

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

Part 2. Software Engineering Practice
• Practice: A Generic View
• System Modeling
• System Engineering
• Requirements Engineering

Part 3. Software Design Strategies
• Architectural Design
• Software Reuse
• Component-based Design
• Model-driven Design


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 (60 points),
2. Presentation topic (40 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.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
2017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 2017/01/28
授業の概要
/Course outline
This is the second part of the Course on Theory and Practice of Software Engineering. 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. 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 2. 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. 3. Software Evolution
• Evolution processes
• Program evolution dynamics
• Software maintenance
• Legacy system management

Part 4. 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
Student should have knowledge in Object-oriented programming. The course of Theory and Practice of Software Engineering I 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
2017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 2017/01/27
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:
   
Introduction

Web Application Architectures

Dart Technology

Knockout.js Technology

Introduction to WordPress

Creating a Website with WordPress

Responsive Web Design

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.

On-line materials.
成績評価の方法・基準
/Grading method/criteria
The final grade will be calculated based on the following contributions:
Exercises - 40%,
Quizzes during lectures - 25%,
Final examination - 35%.
履修上の留意点
/Note for course registration
Knowledge of object-oriented concepts is necessary. Students should complete the Java Programming 1 and 2 courses and Software Engineering 1 and Web Programming courses.
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
Course Web page: http://web-int.u-aizu.ac.jp/~vkluev/courses/SEIA/


科目一覧へ戻る
開講学期
/Semester
2017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 2017/01/30
授業の概要
/Course outline
This core software engineering course is related to both theory and practice 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
– Defensive Programming

Part 3. Team-based Software Design
– Software Team Organization
– Selecting staff
– Motivating people
– Managing groups
– The people capability maturity model
– Groupthink

Part 4. Competitive Programming
– Goals and motivations
– Automatic Evaluation Systems
– Roles on a team
– Team Formations
– Team Strategies
– Preparation
– Programming Strategies

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

Part 6. Visual Programming
– Features of current visual languages
– Interactive Visual Analysis
– Graphical and Responsible Dashboard
– Comprehensive Big Data Platform
– Data/Control Flow Paradigm
– Visual language for creating stories, games and animations
– Programming in pictures
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.
The Art of Readable Code (Theory in Practice) by Dustin Boswell  and Trevor Foucher.
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 40 %
Presentation Topic 30 %
Engineering Topic 30 %
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
http://www.xprogramming.com/
http://judge.u-aizu.ac.jp/
http://uva.onlinejudge.org/
http://codeforces.com/
http://www.topcoder.com/
https://sites.google.com/site/stevenhalim/


科目一覧へ戻る
開講学期
/Semester
2017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 2017/01/27
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.Two short quizzes (20 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
2017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 2017/02/01
授業の概要
/Course outline
- Architecture of a Distributed System,
   - Data Recovery and Process Recovery,
   - Dependency Tracking in Message Passing Systems,
   - Data Transparency and site Autonomy,
   - Transaction Management in Distributed Databases,
授業の目的と到達目標
/Objectives and attainment
goals
It is a first course on 'modern distributed systems'.
Topics include, mobile communication systems and replication of databases.
Concepts are studied by taking these example cases for analysis.
It covers the internal architecture of Distributed systems.
Course examines many distributed algorithms.
It raises unsolved problems and design issues.
授業スケジュール
/Class schedule
0 Apr 07     Lecture meeting (Introduction)
1 Apr 14     Dist. Systems                   1, and 2 Text:by Coulouris
2 Apr 21     Distributed O S                 16 - 18
3 Apr 28     Time and Global States          10
4 May 12     Operation Systems Support       6
5 May 19     Distributed File Systems        8   ** * + QUIZ
6 May 26     Transactions and Concurrency    12
7 Jun  2     Replication                     14
8 Jun  9     Failures and Recovery           16
9 Jun 10                                         *** + End-Term Examination
教科書
/Textbook(s)
1. Various materials prepared by the instructor.
2. Distributed Systems: Concepts and Design, by G.Coulouris, J.Dollimore, T. Kin
dberg, Pearson, 5th edition, 2011.
3. Guide to Reliable Distributed Systems,
   K.P. Birman, Springer, March 2012
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
Courses on :  Operating Systems; Algorithms and Data Structures, Distributed Com
puting, web programming
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
Study material and notes -
Slides, exercise sheets, readings as recommended by the instructor(s).


科目一覧へ戻る
開講学期
/Semester
2017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
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 2017/01/30
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
日程は以下の通り。

   1. 宣言的プログラミングの概要
   2. 関数プログラミングの概要
   3. データ構造と定義
   4. リストによるプログラミング I: リスト内包, 多相型など
   5. 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
   6. 関数型プログラムに関する推論
   7. 高階関数によるプログラミング (1)
   8. 高階関数によるプログラミング (2)
   9. 高階関数によるプログラミング (3)
  10. 型クラス
  11. 代数データ型 (1)
  12. 代数データ型 (2)
  13. 遅延評価と無限データ構造 (1)
  14. 遅延評価と無限データ構造 (2)
  15. 入出力とモナド (1)
  16. 入出力とモナド (2)

進度により、日程は変更されることがある。
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
評価は以下の結果により行う。

1. プログラミング課題: 原則として毎時間。提出は1週間後。
2. 教科書の割り当てられた箇所の発表。学生は必ず1回行う。
履修上の留意点
/Note for course registration
学生は「プログラミング言語論」を履修済であることが望ましい。
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
2017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 2017/01/31
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, Projects and Project Reports
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
2017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(富士火災)
担当教員名
/Instructor
竹村 司(富士火災), 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 2017/02/25
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
-
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
2017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 2017/04/10
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
2017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 2017/04/10
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
2017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(富士火災)
担当教員名
/Instructor
竹村 司(富士火災), 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 2017/02/25
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
2017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 2017/01/31
授業の概要
/Course outline
月惑星探査ミッションのプロジェクトマネージメント、安全確保技術、ソフトウエア工学を学ぶ。

JAXAおよび国立天文台より講師を招き,遠隔授業を行います。
授業の目的と到達目標
/Objectives and attainment
goals
月惑星探査ミッションのプロジェクトマネージメント、安全確保技術、ソフトウエア工学を実習を通じて学ぶ。
コンピュータ理工学のトピックとして宇宙開発分野の基礎知識を学ぶ。
授業スケジュール
/Class schedule
参考として、2016年度の実績を挙げる。
#1-2 大嶽 (JAXA) 月周回衛星かぐやのプロジェクトマネージメント
#3-15春山 (JAXA) 月周回衛星かぐやミッションの紹介とデータ解析実習
教科書
/Textbook(s)
N/A
成績評価の方法・基準
/Grading method/criteria
出席(プレゼン等)、課題提出、レポート等、各講師指示による。
履修上の留意点
/Note for course registration
関連科目
ITC08 Remote Sensing
ITC09 Fundamental Data Analysis in Lunar and Planetary Explorations
ITC10 Practical Data Analysis in Lunar and Planetary Explorations
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
2017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
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
Usually parallel languages and parallel programming are considered as means and activity to extract maximum performance from some computer architecture.  Growing role of multi-core and many-core systems makes users spend a lot of energy and time for technical aspects of application algorithm implementations. This essentially decreases their abilities in developing application models, performing necessary experiments and creating practical systems.  In this course a new programming methodology based on a new multimedia programming environment is presented. Within this environment, programs are created as information resources with multiple clarifications and human performance, rather than hardware performance, is a focus. The course is supported by practical exercises helping in understanding new forms of modeling and programming in pictures.
授業の目的と到達目標
/Objectives and attainment
goals
They are to give students a vision of modeling/programming systems of a new generation where pictures and moving pictures (animation) are used as super-characters for representing features of computational algorithms and data structures. They are also to explain how a cluster of visual languages and supportive tools are combined into a uniform framework to 1) integrate programming experience/knowledge and forms of their representation, and to 2) generate executable codes from picture-based specifications.
In addition, students will get a basic skill of programming in *AIDA (Star-AIDA) language within Filmification modeling (F-modeling) environment and learn how introducing new super-characters representing a set of parallel activity coordinators (for Master-workers schemes, Send-receive, Data-flow, Pipeline and Statechart alliances) enhances intelligent aspects of the environment in general and allows obtaining special features required by applications.
授業スケジュール
/Class schedule
-Overview and classification of parallel computer architectures and programming languages; examples of programming constructs for Message-Passing Interface and other conventional languages.
-Visual languages and programming in pictures.
-Algorithmic CyberFrames, CyberScenes and CyberFilm; Languages of Integrated view, Algorithmic Dynamics, Command and Interface views.
-Algorithms as activities in 4-dimensional space-time; super-characters to declare space data structures, their substructures and slices; super-characters to define traversal schemes on space data structures.
-Super-characters to define computational activity units (formulas, etc.); annotations for variables and language constructs; folding/unfolding techniques for formulas.
-Examples of *AIDA programs; comparisons of *AIDA and conventional language constructs.
-Executable diagrams for master-workers schemes, send-receive, data-flow, pipeline and state-chart alliances.
-Template programs behind super-characters and automatic code generation.
-Interface panels of F-modeling environment and their features.
-*AIDA programs as information resources of a new type.
教科書
/Textbook(s)
1.Handouts of Lectures
2.Tutorials at http://aida.u-aizu.ac.jp/aida/tutorial.jsp
成績評価の方法・基準
/Grading method/criteria
1. Final test (45 points),
2. Technical report on *AIDA programming (40 points)
3. Attendance of lectures and participation in discussions (15 points)
参考(授業ホームページ、図書など)
/Reference (course
website, literature, etc.)
1.R. Bitter, T. Mohiuddin, N. Nawrocki, LabVIEW: Advanced Programming Techniques, CRC Press, 2007.
2.B. P. Douglass, Real-Time UML, Second Edition, Addison-Wesley, 2000.


科目一覧へ戻る
開講学期
/Semester
2017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 2017/03/23
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.-15. 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
出席状況、課題提出状況、最終日の発表内容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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