Course Name Year Term Period Faculty / Graduate School All Instructors Credits
34790:PBL: Problem Analysis and Modeling (G2) 2019 Spring Wed3,Fri3 College of Information Science and Engineering COOPER ERIC WALLACE、KRYSSANOV VICTOR、GONCHARENKO IGOR、SVININ MIKHAIL、TAKADA HIDEYUKI、NISHIMURA TOSHIKAZU、NOMA HARUO 4

Campus

BKC/BKC

Class Venue

Lab 1/ ISSE CC205/Lab 1/ ISSE CC205

Language

English

Course Outline and Method

This is the first Engineering Information System Project (EISP) course in the project-based education sequence designed to serve as core for practice-oriented learning, and thus to present all practical aspects of the engineering system life cycle and professional communications in a consistent cross-engineering and multi-disciplinary framework. The course focuses on information system life cycle and requirements engineering, while the student coursework is organized in two half-semester long projects: Project A with emphasis on data gathering and problem analysis, and Project B with emphasis on system modelling and experimentation.

Student Attainment Objectives

Upon completion of the two projects, students should be able to:
1. Identify known and unknown information, uncertainties, and biases when presented a complex ill-structured problem.
2. Create process for problem solving including justified approximations and assumptions.
3. Generate working hypothesis.
4. Design experiments involving information and data gathering and analysis to validate working hypothesis.
5. Follow protocols when using techniques, skills, and tools.
6. Recognize a variety of working and learning preferences.
7. Demonstrate punctuality, responsibility, and appropriate communication etiquette when working in a project.

Recommended Preparatory Course

Students should be able to communicate in English, including comprehending scientific and technical texts, and writing short essays/reports. Basic (high school-level) knowledge of mathematics is required.

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1〜2 (all instructors)

Project I. Course introduction

Engineering project, Product life cycle

1〜2 (all instructors)

Project II. Course introduction

Engineering project, Product life cycle
3〜4 (Takada)

Project I. Collaborative and physical computing environments

Computer-supported collaboration, distributed systems, IoT, physical
computing

3〜4 (Kryssanov)

Project II. e-Society

Social network service systems, Intelligent agents, Biometrics
5〜6 (Kryssanov)

Project I. e-Society

Social network service systems, Intelligent agents, Biometrics
5〜6 (Takada)

Project II. Collaborative and physical computing environments

Computer-supported collaboration, distributed systems, IoT, physical
computing

7〜8 (Takada)

Project I. Collaborative and physical computing environments

Computer-supported collaboration, distributed systems, IoT, physical
computing

7〜8 (Svinin)

Project II. Human-centered robotics

Modeling, Sensing, Control, Programming
9〜10 (Svinin)

Project I. Human-centered robotics

Modeling, Sensing, Control, Programming
9〜10 (Takada)

Project II. Collaborative and physical computing environments

Computer-supported collaboration, distributed systems, IoT, physical
computing
11〜12 (Svinin)

Project I. Human-centered robotics

Modeling, Sensing, Control, Programming
11〜12 (Noma)

Project II. Virtual reality and multimodal user interfaces

Sensing, Display, Simulation, Interaction
13〜14 (Noma)

Project I. Virtual reality and multimodal user interfaces

Sensing, Display, Simulation, Interaction
13〜14 (Svinin)

Project II. Human-centered robotics

Modeling, Sensing, Control, Programming
15〜16 (Noma)

Project I. Virtual reality and multimodal user interfaces

Sensing, Display, Simulation, Interaction
15〜16 (Cooper)

Project II. Applied affective engineering

Affect, Emotion, Cognition, Cognetics
17〜18 (Cooper)

Project I. Applied affective engineering

Affect, Emotion, Cognition, Cognetics
17〜18 (Noma)

Project II: Virtual reality and multimodal user interfaces

Sensing, Display, Simulation, Interaction
19〜20 (Cooper)

Project I. Applied affective engineering

Affect, Emotion, Cognition, Cognetics
19〜20 (Nishimura)

Project II. Distributed collaborative environments on large-scale computer networks

Data Mining, Networking
21〜22 (Nishimura)

Project I. Distributed collaborative environments on large-scale computer networks

Data Mining, Networking
21〜22 (Cooper)

Project II. Applied affective engineering

Affect, Emotion, Cognition, Cognetics
23〜24 (Nishimura)

Project I. Distributed collaborative environments on large-scale computer networks

Data Mining, Networking
23〜24 (Goncharenko)

Project II. Advanced computer graphics and digital human

3D Modeling, Graphical Scenes, Rendering, Projection, Animation
25〜26 (Goncharenko)

Project I. Advanced computer graphics and digital human

3D Modeling, Graphical Scenes, Rendering, Projection, Animation
25〜26 (Nishimura)

Project II. Distributed collaborative environments on large-scale computer networks

Data Mining, Networking
27〜28 (Goncharenko)

Project I. Advanced computer graphics and digital human

3D Modeling, Graphical Scenes, Rendering, Projection, Animation
27〜28 (Kryssanov)

Project II. e-Society

Social network service systems, Intelligent agents, Biometrics
29〜30 (Kryssanov)

Project I. e-Society

Social network service systems, Intelligent agents, Biometrics
29〜30 (Goncharenko)

Project II. Advanced computer graphics and digital human

3D Modeling, Graphical Scenes, Rendering, Projection, Animation

Class Format

Recommendations for Private Study

Students should expect to spend two to four hours per week in addition to class hours to prepare for the project work.

No language other than English will be used in the class.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written) 0

Report Examination
(A report to be submitted by the unified deadline)		 0

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

Continuous assessment and attendance – 40%
Individual report submitted after week 15, during the examination week – 60%
The individual reports should describe concepts of the engineering product life cycle, using examples learned during the project work throughout the semester.
Assessment policy. The student deliverables are graded with equal weights on the following aspects of coursework:
1) Problem formulation and analysis: focus on identifying a problem of practical significance, making an effective argument, and comparing the outcome of a design solution to the original problem definition.
2) Design: focus on planning and risk identification.
3) Communications: focus on interpersonal communication and report writing.
4) Ethics and equity: focus on the student’s role and attitude in the class.

Grade Evaluation Method （Note）

Any indication of academic dishonesty, such as cheating, plagiarism (including “copy-pasting” from electronic documents and Web resources, such as Wikipedia), collusion, the submission of any work (e.g. report) that is attributable in whole or in part to another person, and similar behavior, will not be tolerated in any form. All persons involved in an act of academic dishonesty shall be disciplined – will receive an “F” for the course, and would be suspended or expelled from the College.

Students who miss more than five classes without a legitimate and documented reason automatically receive an “F” for the course.

Advice to Students on Study and Research Methods

Textbooks

Textbooks （Frequency of Use, Note）

There is no textbook for this course. Students will be provided with materials recommended for reading.

Reference Books

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Talk with Students

Other Comments