AY 2022 Graduate School Course Catalog AY 2022 Graduate School Course Catalog AY 2022 Graduate School Course Catalog
| 2023/01/30 |
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| 開講学期 ／Semester |
2022年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
MATSUMOTO Kazuya |
| 担当教員名 ／Instructor |
MATSUMOTO Kazuya, NAKASATO Naohito |
| 推奨トラック ／Recommended track |
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| 先修科目 ／Essential courses |
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| 更新日／Last updated on | 2022/01/25 |
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| 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, - Understand parallel programming in OpenMP with SIMD instructions. |
| 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. Classifications of Parallel Programming Models 4. Parallel Programming Models: SIMD-programming 5. Parallel Programming in OpenMP with SIMD Instructions 6. Distributed Programming Models: Multiprocessor architectures 7. Network Topologies and Properties 8. Individual and Collective Operations on Networks 9. Parallel Computing and Accuracy of Results 10. Client-server Programming Models 11. Advanced Parallel Computing Paradigms 12. WEB-based High-Performance Computing (optional) |
| 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 |
Students should be prompt for lectures, labs, and exams. 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 Quizes (50 points) 2. Design Project (50 points) |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
1. Parallel and Distributed Computing, by C. Leopold, Wiley-Interscience. 2. An Introduction to Parallel Programming, by P. Pacheco, Morgan Kaufmann. 3. Distributed and Cloud Computing, by K. Hwang, G. Fox, and J. Dongarra, Morgan Kaufmann. 4. Designing and Building Parallel Programs, by F. Ian, https://www.mcs.anl.gov /~itf/dbpp/ 5. The OpenMP Common Core, by T. Mattson, Y. He, and A. Koniges, MIT Press. 6. Scalable Parallel Computing, by K. Hwang, Zh. Xu, McGraw-Hill. 7. The CUDA Handbook, by N. Wilt, Addison-Wesley. |
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| 開講学期 ／Semester |
2022年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
SUZUKI Taro |
| 担当教員名 ／Instructor |
SUZUKI Taro |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/28 |
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| 授業の概要 ／Course outline |
The aim of declarative programming is to describe problems to be solved as programs in 'declarative' way based on mathematical properties of the problem. Writing programs in declarative style, we can examine the properties and the correctness of the programs using techniques based on mathematics or logic. Declarative rogramming contains functional programming, logic programming, functional-logic programming, and so on. This course especially concerns functional programming, which is based on the theory of mathematical functions. The student learns basics of functional programming with a functional programming language Haskell. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
The aim of the course is to learn basics of declarative programming, especially of functional programming. At the end of the course the student can: 1. Explain the differences between imperative and declarative programming. 2. Explain what is the essence of functional programming. 3. Explain what higher-order functions, type polymorphism and lazy evaluation mean. 4. Write functional programs with higher-order functions, user defined polymorphic data types and infinite data structures. 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 is given below: 1. Introduction to Declarative Programming and Functional Programming 2. Data Types and Definitions 3. Programming with lists I: list comprehension, type polymorphism etc. 4. Programming with lists II: recursive programming on lists 5. Reasoning on functional programs 6. Programming with higher-order functions (1): function as parameters 7. Programming with higher-order functions (2): functions as results 8. Programming with higher-order functions (3): case study 9. Type classes 10. Algebraic data types 11. Lazy evaluation 12. Lazy evaluation and programming with infinite data structures 13. I/O Monad 14. Monad in general The correspondence between classes and topics described above may be changed according to the progress of the course. |
| 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 |
The students are evaluated by the following: 1. assignments on functional programming. Each assignment is assigned in every class. The students should submit them 1 week after the assignment. 2. the presentation of a chapter in the text book. Every student gives a presentation once. The criteria is as follows: 70% assignments 30% presentation |
| 履修上の留意点 ／Note for course registration |
It is desirable that the students have taken PL05 Computer Languages in the undergraduate course. |
| 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 |
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| 開講学期 ／Semester |
2022年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
HAMEED Saji N. |
| 担当教員名 ／Instructor |
HAMEED Saji N. |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/31 |
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| 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 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 |
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| 開講学期 ／Semester |
2022年度／Academic Year 前期集中 ／1st Semester Intensi |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
1.0 |
| 責任者 ／Coordinator |
TAKEMURA Tsukasa (Kao.Co) |
| 担当教員名 ／Instructor |
TAKEMURA Tsukasa (Kao.Co), YOSHIOKA Rentaro |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/03/08 |
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| 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 |
2022年度／Academic Year 後期集中 ／2nd Semester Intensi |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
DEMURA Hirohide |
| 担当教員名 ／Instructor |
DEMURA Hirohide, HIRATA Naru, JAXA/NAOJ Lecturers |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/31 |
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| 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. by Profs. Haruyama, Sakurai, and Sakai (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. |
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| 開講学期 ／Semester |
2022年度／Academic Year 前期集中 ／1st Semester Intensi |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
NARUSE Keitaro |
| 担当教員名 ／Instructor |
NARUSE Keitaro, NS Solutions Corporation Lecturers, Japan Technical Software Lecturers |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
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| 更新日／Last updated on | 2022/01/28 |
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| 授業の概要 ／Course outline |
Software is used in everywhere in our society, and quality of software can put large influence to our society. However, it is not easy to develop high quality software in a limited period and budget. In this course, students will learn and understand what quality of software is and what should be done for ensuring and managing the quality of software. Also the students will experience a set of activities on them through exercise. In addition, the students will understand how software industries recognize, consider, and manage quality of software in the development of commercial information systems. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
The students will understand the concept and importance on quality of software. The students will understand the activities on ensuring quality of software. The students will understand the concept and methods on test of software. The students will carry out a part of activities on ensuring quality of software through exercises. |
| 授業スケジュール ／Class schedule |
1. Quality of software 2. Ensuring quality and process of software 3. Static inspection methods and tools 4. Version management 5. Test of software 6. Test methods (1) 7. Test methods (2) 8. Test tools 9-12. Exercises on component test 13-14. Exercises on system test |
| 教科書 ／Textbook(s) |
None. Handouts will be distributed in a class. |
| 成績評価の方法・基準 ／Grading method/criteria |
The grade will be evaluated based on quiz(40%), assignments(40%), and oral presentation(20%) in the last class. |
| 履修上の留意点 ／Note for course registration |
The students are recommended (but not required) to understand basics on software engineering and the programming language JAVA. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Preview of course materials in the last year. http://web-ext.u-aizu.ac.jp/~naruse/SEA14 Some of this course will be provided by lectures currently working in a software industry(*1, *2). The course topics of 3-4 and 9-14 are largely related to their practical work in industry. *1: NS Solutions, https://www.nssol.nssmc.com/en/ *2: Japan Technical Software, https://www.jtsnet.co.jp/ |
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| 開講学期 ／Semester |
2022年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
WATANOBE Yutaka |
| 担当教員名 ／Instructor |
WATANOBE Yutaka, MOZGOVOY Maxim |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/28 |
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| 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. Advanced Topics in Software Engineering • Critical points in project management. • Dependable Processes and Programming • Fault Tolerance Concepts and Architecture • Real-time Software Engineering • Software Agents, Agent Systems and Applications 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 |
The course instructor Alexander Vazhenin has practical working experience. He worked for the Computer Center of Siberian Division of the Russian Academy of Sciences for 15 years where he was involved in R&D of software design and operating systems. Based on his experience, he can teach the basics of Software Engineering. It would be good if students have a knowledge about object-oriented concepts, Java and/or C Programming and Software Engineering basics. |
| 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. https://elms.u-aizu.ac.jp/ -- Detailed information about the course |
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| 開講学期 ／Semester |
2022年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
MOZGOVOY Maxim |
| 担当教員名 ／Instructor |
MOZGOVOY Maxim, YOSHIOKA Rentaro |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/18 |
|---|---|
| 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 |
2022年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
1st year , 2nd year |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
WATANOBE Yutaka |
| 担当教員名 ／Instructor |
WATANOBE Yutaka, NISHIDATE Yohei |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2022/01/28 |
|---|---|
| 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 % |