♦ International Graduate Program for Global Leaders on Engineering Systems with Humanities, Social Sciences, and Cultural Studies (IGP-GLES)(ƒvƒƒOƒ‰ƒ€–Ό)

1. Program Outline (ƒvƒƒOƒ‰ƒ€ŠT—v)

Our program aims to bring up future global leaders in such various fields as policy making, national administration, legal institutes, industry, education, and academic research. We accept excellent students from all over the world, and bring them up to be of capability and skills required to solve essential problems on engineering systems with harmonization among human, organizations, societies, cultures, and science and technology. In order to achieve our goals, we provide courses on knowledge of human, organizations, societies, cultures, science and technology, and Japanese style management technologies, which have obtained the world’s respects and reputations.

 

2. Course Outlines and Faculty (ƒR[ƒXŠT—v‹y‚ΡŠwK–Ϊ•W)

Subjects in the program are offered by the faculties of the departments below in Graduate School of Decision Science and Technology, utilizing strong and abundant resources related not only to engineering systems but also humanities, social sciences, and cultural studies. In addition, subjects on skills for academic research and knowledge of Japanese language and life will be also offered so as to educate students who will work as a bridge between Japan and their own countries.

  1. Department of Human System Science;
  2. Department of Value and Decision Science;
  3. Department of Industrial Engineering and Management;
  4. Department of Social Engineering.

 

3. Guide to Study in International Graduate Program for Global Leaders on Engineering Systems with Humanities, Social Sciences, and Cultural Studies (IGP-GLES) (ŠwK“ΰ—e)

Our program is characterized by:

Courses are categorized according to the University’s general rule as follows:



Courses in Category B (Courses by Departments (κ–ε‰Θ–ΪŒQ)) and those in Category C-4 (Interdepartmental Courses (G) (‘εŠw‰@Lˆζ‰Θ–Ϊ)) are classified with respect to the combination of approaches and objects as follows (for example, a course with “J-4” as “Contents #” is on “Cultures” with “Japanese style approach”):


Courses in Category C-1 (Courses Designated by Program (ƒvƒƒOƒ‰ƒ€Žw’θ‰Θ–Ϊ)) and those in Category C-2 (International Communication (G) (‘εŠw‰@‘ΫƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‰Θ–Ϊ)) are on skills for academic research, which are assigned “S” as Contents #. Courses in Category C-8 (Courses for International Students (G) (‘εŠw‰@ —―ŠwΆ‰Θ–Ϊ)) are on knowledge of Japanese language and life, which are assigned “K” as Contents #.

Regarding the Contents # of the courses in other Categories, please kindly consult your supervisor or program manager.

 

4. Graduation Requirements (C—Ή—vŒ)

Master’s degree
For a Master’s degree, following requirements must be met:

Doctoral degree
For the doctoral degree, the following requirements must be met:

 

4. Tables of Course Subjects

Research Courses (Œ€‹†‰Θ–ΪŒQ): Category A

Category A-1: Seminar Courses (u‹†‰Θ–Ϊ) : Colloquium

Course Number Remarks*
(see footnotes)		 Subject Department
Offering
course***		 Credit Chair Semester
S: Spring
A: Autumn		 Opening
year
a: Annually
e: Even
o: Odd
65705 (HUM),
66705 (VAL),
67705 (IE&M),
68705 (SOC)		 R, MP International Colloquium in Decision Science and Technology (XXX) I** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser A a
65706 (HUM),
66706 (VAL),
67706 (IE&M),
68706 (SOC)		 R, MP International Colloquium in Decision Science and Technology (XXX) II** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser S a
65707 (HUM),
66707 (VAL),
67707 (IE&M),
68707 (SOC)		 R, MP International Colloquium in Decision Science and Technology (XXX) III** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser A a
65708 (HUM),
66708 (VAL),
67708 (IE&M),
68708 (SOC)		 R, MP International Colloquium in Decision Science and Technology (XXX) IV** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser S a
65851 (HUM),
66851 (VAL),
67851 (IE&M),
68851 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) V** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65852 (HUM),
66852 (VAL),
67852 (IE&M),
68852 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) VI** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65853 (HUM),
66853 (VAL),
67853 (IE&M),
68853 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) VII** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65854 (HUM),
66854 (VAL),
67854 (IE&M),
68854 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) VIII** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65855 (HUM),
66855 (VAL),
67855 (IE&M),
68855 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) IX** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65856 (HUM),
66856 (VAL),
67856 (IE&M),
68856 (SOC)		 R, DP International Colloquium in Decision Science and Technology (XXX) X** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a

* R: Required, MP: Master’s Program, DP: Doctoral Program
** “XXX” is HUM, VAL, IE&M, or SOC, depending on the department to which the student belongs.
*** HUM: Department of Human System Science
*** VAL: Department of Value and Decision Science
*** IE&M: Department of Industrial Engineering and Management
*** SOC: Department of Social Engineering

Category A-2: Graduate Research Courses (Œ€‹†ŠΦ˜A‰Θ–Ϊ): Workshop, Seminar, and Practical Exercise

Course Number Remarks*
(See footnotes)		 Subject Department
Offering
course***		 Credit Chair Semester
S: Spring
A: Autumn		 Opening
year
a: Annually
e: Even
o: Odd
65715 (HUM),
66715 (VAL),
67715 (IE&M),
68715 (SOC)		 R, MP Decision Science and Technology International Workshop (XXX) I** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65716 (HUM),
66716 (VAL),
67716 (IE&M),
68716 (SOC)		 R, MP Decision Science and Technology International Workshop (XXX) II** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65717 (HUM),
66717 (VAL),
67717 (IE&M),
68717 (SOC)		 R, MP Decision Science and Technology International Workshop (XXX) III** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65718 (HUM),
66718 (VAL),
67718 (IE&M),
68718 (SOC)		 R, MP Decision Science and Technology International Workshop (XXX) IV** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65851 (HUM),
66851 (VAL),
67851 (IE&M),
68851 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) V** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65852 (HUM),
66852 (VAL),
67852 (IE&M),
68852 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) VI** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65853 (HUM),
66853 (VAL),
67853 (IE&M),
68853 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) VII** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65854 (HUM),
66854 (VAL),
67854 (IE&M),
68854 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) VIII** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65855 (HUM),
66855 (VAL),
67855 (IE&M),
68855 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) IX** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65856 (HUM),
66856 (VAL),
67856 (IE&M),
68856 (SOC)		 R, DP Decision Science and Technology International Workshop (XXX) X** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser S a
65709 (HUM),
66709 (VAL),
67709 (IE&M),
68709 (SOC)		 R, MP
(first year)		 Decision Science and Technology International Workshop (XXX) I** HUM, VAL, IE&M, SOC 0-2-0 Academic Adviser A a
65709 (HUM),
66709 (VAL),
67709 (IE&M),
68709 (SOC)		 R, MP
(first year)		 International Seminar in Decision Science and Technology (XXX) I** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser A a
65710 (HUM),
66710 (VAL),
67710 (IE&M),
68710 (SOC)		 R, MP
(first year)		 International Seminar in Decision Science and Technology (XXX) II** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser S a
65719 (HUM),
66719 (VAL),
67719 (IE&M),
68719 (SOC)		 R, MP
(first year)		 International Practical Exercise in Decision Science and Technology (XXX) I** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser A a
65720 (HUM),
66720 (VAL),
67720 (IE&M),
68720 (SOC)		 R, MP
(first year)		 International Practical Exercise in Decision Science and Technology (XXX) II** HUM, VAL, IE&M, SOC 0-1-0 Academic Adviser S a

* R: Required, MP: Master’s Program, DP: Doctoral Program
** “XXX” is HUM, VAL, IE&M, or SOC, depending on the department to which the student belongs.
*** HUM: Department of Human System Science
*** VAL: Department of Value and Decision Science
*** IE&M: Department of Industrial Engineering and Management
*** SOC: Department of Social Engineering

Courses by Departments (κ–ε‰Θ–ΪŒQ): Category B

Category B-1: Departmental Courses (κUκ–ε‰Θ–Ϊ)

Course Number Remarks*
(See footnotes)
and
Contents #		 Subject Department
Offering
course***		 Credit Chair Semester
S: Spring
A: Autumn		 Opening
year
a: Annually
e: Even
o: Odd
65056 MP, DP, G-1 Introductory Cognitive Psychology (c)*** HUM 2-0-0 K. Yamagishi S a
65076 MP, DP, G-5 Web-based Learning System (c)*** HUM 2-0-0 M. Morota A o
65066 MP, DP, G-5 Introduction to Bayesian Statistics HUM 1-0-0 S. Mayekawa S a
65061 MP, DP, G-1 Introduction to Brain Science and fMRI HUM 1-0-0 H. Akama A a
65062 MP, DP, G-1 Introduction to Cognitive Linguistics HUM 1-0-0 H. Akama A o
65063 MP, DP, G-1 Embodied Economics and Cognition HUM 1-0-0 K. Yamagishi A a
65067 MP, DP, G-1 Computational Brain Science and Complex Networks with Matlab (SPM) HUM 0-2-0 Wakita and Akama S a
65068 MP, DP, G-1 Human Economic Science by Mathematica HUM 0-2-0 H. Akama S e
65069 MP, DP, G-5 Parallel Programming Basics with MPI HUM 0-1-0 (to be arranged) A a
66046 MP, DP, J-4 A Comparative Study of Modern Japanese Culture VAL 2-0-0 L. D. Morton A a
66014 MP, DP, G-3 Global Environmental Governance (c)*** VAL 2-0-0 N. Kanie S a
66065 MP, DP, J-4 Values in Comparative Culture VAL 2-0-0 A. Omura A a
66066 MP, DP, G-6 International Management VAL 2-0-0 R. Magnier -Watanabe S a
66064 MP, DP, J-1 The Philosophy and Practice of Collaborative Deliberation VAL 2-0-0 M. Toyoda A a
66030 MP, DP, G-3 Social Systems Modeling VAL 2-0-0 T. Inohara A a
66081 MP, DP, G-3 Decision-making Analysis in the Nuclear Age (c)*** VAL 2-0-0 M. Ikegami A a
67056 MP, DP, G-6 Marketing IE&M 2-0-0 S. Chung A a
67038 MP, DP, G-6 Design Thinking (c)*** IE&M 2-0-0 H. Umemuro S a
67055 MP, DP, G-6 Financial Statement Analysis and Valuation IE&M 2-0-0 N. Nagara A s
67006 MP, DP, G-2 Ergonomics for Organization and Systems Design (c)*** IE&M 2-0-0 Itoh and Aoki A s
67032 MP, DP, G-2 Business Information Systems Project IE&M 2-0-0 Senoo and Nagayoshi S a
67062 MP, DP, J-6 IT Value in Practice IE&M 2-0-0 Iijima and Senoo A a
67060 MP, DP, J-2 Transdisciplinary Collaboration Practice IE&M 0-0-2 Senoo and Tou A a
67020 MP, DP, J-5 History of Science and Technology and Environmental Problems IE&M 2-0-0 M. Kaji S a
67079 MP, DP, G-6 Corporate Management and Financial Decision IE&M 2-0-0 K. Inoue A a
68043 MP, DP, G-3 Public Policy and Project Valuation (c)*** SOC 2-0-0 N. Hidano S a
68058 MP, DP, G-3 Surveys and Experiments in Environmental Economics SOC 1-0-0 N. Hidano A a
68059 MP, DP, G-3 Recent Developments in Game Theory SOC 0-1-0 S. Muto S a
68068 MP, DP, J-3 Urban Planning and Development in Japan (c)*** SOC 2-0-0 N. Nakai A a

* MP: Master’s Program, DP: Doctoral Program
** HUM: Department of Human System Science
** VAL: Department of Value and Decision Science
** IE&M: Department of Industrial Engineering and Management
** SOC: Department of Social Engineering
*** (c): core course


Category B-2: Courses in Other Departments (‘Όκ–ε‰Θ–Ϊ)
Course Number Remarks*
(See footnotes)
and
Contents #		 Subject Department
Offering
course***		 Credit Chair Semester
S: Spring
A: Autumn		 Opening
year
a: Annually
e: Even
o: Odd
70020 MP, DP, G-1 Rural Telecommunications Dept. of International Development Engineering 2-0-0 Takada and Aoyagi A a

* MP: Master’s Program, DP: Doctoral Program


Liberal Arts and General Education (‘εŠw‰@‹³—{E‹€’Κ‰Θ–Ϊ): Category C
International Communication (‘εŠw‰@‘ΫƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‰Θ–Ϊ): Category C-2 Remarks
Interdisciplinary Courses (‘εŠw‰@‘‡‰Θ–Ϊ): Category C-3
Interdepartmental Courses (‘εŠw‰@Lˆζ‰Θ–Ϊ): Category C-4
Arts and Humanities (‘εŠw‰@•Ά–Ύ‰Θ–Ϊ): Category C-5
Career Development Courses (‘εŠw‰@ƒLƒƒƒŠƒA‰Θ–Ϊ): Category C-6
Courses for Developing Creativity (‘εŠw‰@‘n‘’«ˆη¬‰Θ–Ϊ): Category C-7
Courses for International Students (‘εŠw‰@—―ŠwΆ‰Θ–Ϊ): Category C-8		 Remarks
See below table for Courses Designated by Program (ƒvƒƒOƒ‰ƒ€Žw’θ‰Θ–Ϊ): Category C-1
Course Number Remarks*
(See footnotes)
and
Contents #		 Subject Department
Offering
course***		 Credit Chair Semester
S: Spring
A: Autumn		 Opening
year
a: Annually
e: Even
o: Odd
65060 MP, DP Presentation Skills HUM 1-1-0 Matsumoto and Mayekawa S a
66045 MP, DP Effective Presentations in English VAL 1-1-0 A. Omura S a
66054 MP, DP International Research Internship I VAL 0-2-0 T. Inohara S a
66055 MP, DP International Research Internship II VAL 0-2-0 T. Inohara A a
66056 MP, DP International Research Presentation I VAL 0-2-0 T. Inohara S a
66057 MP, DP International Research Presentation II VAL 0-2-0 T. Inohara A a
65505 (HUM),
66505 (VAL),
67505 (IE&M),
68505 (SOC)		 DP Decision Science and Technology International Off-Campus Project (XXX) I** HUM, VAL, IE&M, SOC 0-4-0 Academic Adviser A a
65506 (HUM),
66505 (VAL),
67505 (IE&M),
68505 (SOC)		 DP Decision Science and Technology International Off-Campus Project (XXX) II** HUM, VAL, IE&M, SOC 0-4-0 Academic Adviser S a

* MP: Master’s Program, DP: Doctoral Program
** “XXX” is HUM, VAL, IE&M, or SOC, depending on the department to which the student belongs.
*** HUM: Department of Human System Science
*** VAL: Department of Value and Decision Science
*** IE&M: Department of Industrial Engineering and Management
*** SOC: Department of Social Engineering

 

5. Syllabus of Course Subjects

Category B-1: Departmental Courses (κUκ–ε‰Θ–Ϊ)

65056
Introductory Cognitive Psychology
Spring Semester (2-0-0)
Assoc. Prof. Kimihiro YAMAGISHI

  1. Objective
    This lecture covers basics of cognitive psychology, with emphasis on memory, learning, reasoning, and decision making.
    As an introductory course, familiarity with experimental psychology is not necessary prior to registration.
  2. Content
    Week 1-6: Structure and function of Memory
    Week 7: Essay Quiz 1
    Week 8-14: Higher-order cognition and development
    Week 15: Essay Quiz 2
  3. Grading: There will be two quiz sessions, and the evaluation reflects the quality of quiz answers.

Textbook Reference: Books by Kathleen Galotti or Robert Solso bearing “cognitive psychology” in their titles would be helpful. They are not required readings, and the lectures design assumes the necessity of no textbook.
Conditions: Registration for the course requires no prerequisites.
Comments from lecturer: English is the language of instruction.
Students should master written and oral English at the level of 60-64 score in Internet-Based TOEFL.

65076
Web-based Learning System
Autumn Semester (2-0-0) Even year in Japanese; Odd year in English
Prof. Masao MUROTA

  1. Objective
    First part of this course includes the essence of the Internet protocols and technologies as a basic knowledge of Web-based learning system. Then this course introduces basic and advanced technologies and learning theories for a Web-based learning system. I will explore network protocols, fundamental application protocols, and guidelines to develop effective multimedia contents based on learning theory.
  2. Contents
      1:Introduction
      2:Introduction to the Internet
      3:Network Layer
      4:Transport Layer
      5:Domain Name System
      6:E-mail System
      7:World Wide Web
      8:Web Interaction Technologies (1): CGI, Cookie
      9:Web Interaction Technologies (2): Ajax, DOM
    10:Web Interaction Technologies (3): HTML5
    11:Guidelines for effective e-Learning contents (1)
    12:Guidelines for effective e-Learning contents (2)
    13:Guidelines for effective e-Learning contents (3)
    14:Advanced e-Learning (1)
    15:Advanced e-Learning (2)

Note: Fundamental knowledge on computer system and programming language of Perl, JavaScript, and HTML is recommended, but not mandatory.

65066
Introduction to Bayesian Statistics
Spring Semester (1-0-0)
Prof. Shinishi MAYEKAWA

  1. Objective
    Starting from mathematical presentation such as probability distribution, linear algebras, we will study the theory of Bayes and its extension, natural conjugate distribution, hierarchical Bayes, numerical resolution such as MCMC, other logit profit models and Bayesian network.

The credit of this course can be used to complete the International Human Economic Science Special Course that commenced in April 2009.

65061
Introduction to Brain Science and fMRI
Autumn Semester, Intensive Course (1-0-0)
Assoc. Prof. Hiroyuki AKAMA

  1. Objectives
    As a new functional magnetic resonance imaging (fMRI) environment will be established in Tokyo Tech, this subject provides skills in neuroimaging data acquisition and analysis using the fMRI scanner (Signa HDxt 3.0T, GE Healthcare) in the O-okayama campus. In the control room of the fMRI laboratory, students will get the basic knowledge about the cognitive brain science from a guest lecturer, fMRI specialist who will be invited from abroad.
  2. Contents
    3. 1. Basic concepts of brain science
    2. Neurological techniques for brain science (TBA)
    3.
    4.
    5. Advanced themes (TBA)
    6.
    7.
  3. Comments
    Attention: This course is subject to further revisions.
    Credit from this course can be counted towards completing the International Human Economic Science Special Course.
    For the more detailed information about the course, please refer to http://www.ihes.hum.titech.ac.jp
    Also, feel free to contact Prof. Akama (akama@dp.hum.titech.ac.jp)

65062
Introduction to Cognitive Linguistics
Autumn Semester, Intensive course (1-0-0) Odd year in English
Assoc. Prof. Hiroyuki AKAMA, and others

  1. Objectives
    Embodiment theory, which now plays an important role within cognitive linguistics, leads us to situate language capacity within a more general theory of body and mind, action and perception, movement and imagery. The body-based approach within linguistics is founded on biological substrates that seek to understand the language capacity within the total range of human behavior, just as the branches of economics--behavioral economics, cognitive economics and neural economics--are increasingly being oriented in that direction. This course seeks to position and schematize cognitive and neural linguistics within a new research field called “embodied economics” with the perspective of synergizing different domains within the human system sciences.
  2. Contents
    3. 1. Basic concepts of cognitive linguistics
    2. Cognitive aspects of the lexicon
    3.
    4.
    5. Evolving fields of embodiment theory
    6.
    7.
  3. Comments
    Credit from this course can be counted towards completing the International Human Economic Science Special Course.
    For the more detailed information about the course, please refer to http://www.ihes.hum.titech.ac.jp
    Also, feel free to contact Prof. Akama (akama@dp.hum.titech.ac.jp)

65063
Embodied Economics and Cognition
Spring Semester (1-0-0) Even year in English
Assoc. Prof. Kimihiko YAMAGISHI, guest lecturer (TBA)

  1. Objective
    This course is offered as a part of the International Program on “Effective Utilization of Technology” at the Graduate School of Decision Science and Technology. The lectures aim at teaching the cutting-edge endeavors of new scientific approaches to economic phenomena. The classical economics has built itself upon the foundation of “homo economics” with perfect rationality and unlimited computational might. In contrast, the 21st century’s approach views economic activities as performed by homo sapiens -- ordinary humans like the readers. Therefore, limitations of human cognitive capability do constrain economic behavior. Sciences embracing such assumptions are “embodied” in this sense. Currently, related branches include Behavioral Economics, Behavioral Finance, Cognitive Economics, and Neural Economics. This course offers a broad perspective of cognitive approaches to understanding preferential choice and judgment.
  2. Contents
  3. Reference
    None -- familiarity with cognitive psychology at the introductory level would greatly help understanding the content.

65067
Computational Brain Science and Complex Networks with Matlab (SPM)
Spring Semester (0-2-0)
Assoc. Prof. Ken WAKITA, Assoc. Prof. Hiroyuki AKAMA, and others

  1. Objectives
    Matlab is a high-level programming language which provides us effective computational methods with matrices and vectors as well as fantastic tools of image analysis and visualization. This has made this software package very useful for the sciences of complex networks as well as the neural sciences targeting the most important example of complex networks, the brain of an animal. Especially Matlab is considered as crucial for the fMRI (functional magnetic resonance imaging) studies that we are now expecting to enhance at Tokyo Tech all the more because the Graduate School Decision Science and Technology has installed an fMRI scanner (Signa HDxt 3.0T, GE Healthcare) in the O-okayama campus. This course provides trainings for Matlab, using the GSIC Educational System and the Tsubame II Grid Cluster, so that students can develop essential knowledge for analyzing human networks, neural networks and finally fMRI brain image data with SPM (statistical parametric mapping), Matlab based package offering plenty of neuroimaging techniques. Students will also learn in the fMRI laboratory the basic literacy of fMRI experiment based on the introductory skills of Matlab programming.
  2. Contents
    1. Computer literacy and Matlab
      (1) Procedures for obtaining a TsubameIIaccount and introduction to TsubameIIliteracy
      (2) File manipulation techniques
      (3) Basic operations with Matlab
      (4) Computation of data matrices with Matlab
      (5) Complex networks with Matlab
    2. fMRI with Matlab (SPM)
      (1) Installation of SPM and basic usage
      (2) fMRI literacy: experiment design
      (3) fMRI literacy: stimulus and trigger signals
      (4) fMRI literacy: experiment
      (5) fMRI literacy: data analysis
  3. Comments
    Attention: This course is subject to further revisions.
    This lecture course will be held in one of the Practical Rooms in the Global Scientific Information and Computing Center (GSIC) (3rd floor) and the fMRI laboratory of the Graduate School of Decision Science and Technology. The access information can be found at the following URLs.
    http://www.gsic.titech.ac.jp/contents/campusmap.html.ja
    http://www.gsic.titech.ac.jp/contents/campusmap.html.en
    No special knowledge about Matlab is required.
    Please feel free to contact Prof. Wakita (wakita@is.titech.ac.jp)
    Credit from this course can be counted towards completing the International Human Economic Science Special Course.
    For the more detailed information about the course, please refer to
    http://www.ihes.hum.titech.ac.jp

65068
Human Economic Science by Mathematica
Spring Semester (0-2-0)
Assoc. Prof. Hiroyuki AKAMA

  1. Objectives
    Mathematica is a particularly ingenious, highly precise, and yet very user-friendly, programming language. From the perspective of human economic science, it is most suitable for 1) complicated symbolic computations that include vast amounts of terms, 2) analytical and numerical solutions to equations, differential equations and minimization calculations, 3) and accurate and aesthetic visualizations of graphs and figures. This class provides practice exercises using the GSIC Educational System and the Tsubame Grid Cluster to teach how to utilize Mathematica for economics and cognitive psychology calculations, such as equation solutions, linear algebra (list, vector and matrix manipulations), statistics (descriptive statistics, regressions, ANOVAs), graphs and complex networks, and simulations of complex systems.
  2. Contents
    3. 1. Procedures for obtaining an Tsubame account and introduction to Tsubame literacy
    2. Mathematica: Its features and interfaces--Symbolic programming, use of notebook and math commands for Tsubame computation
    3. Basic built-in functions of Mathematica: Numerical calculations and algebraic calculations
    4. Basic built-in functions of Mathematica: Linear algebra--List, vector and matrix manipulation
    5. Basic built-in functions of Mathematica: Uploading and downloading data; 2-D and 3-D graphics
    6. Functional programming, operators and their syntax
    7. Functions, packages and batch processing
    8. Pattern matching, logical operations and flow controls
    9. Application to human economic science: Statistical analyses
    10. Application to human economic science: Solving equations
    11. Application to human economic science: Differential and integral calculus
    12. Application to human economic science : Combinatorica and network computations
    13. Practice in more advanced programming
    14.
    15.
  3. Comments
    Lecture materials, as used in 2009, can be downloaded from the following URL (only within the campus).
    However, a total update of the materials is planned for 2010.
    http://www.b.cc.titech.ac.jp/~39499864/Mathematica/
    This lecture course will be held in one of the Practical Rooms in the Global Scientific Information and Computing Center (GSIC) (3rd floor). The access information can be found at the following URLs.
    http://www.gsic.titech.ac.jp/contents/campusmap.html.ja
    http://www.gsic.titech.ac.jp/contents/campusmap.html.en
    No special knowledge about Mathematica is required.
    For the more detailed information about the course, please refer to
    http://www.ihes.hum.titech.ac.jp
    Please feel free to contact Prof. Akama (akama@dp.hum.titech.ac.jp)
    Credit from this course can be counted towards completing the International Human Economic Science Special Course.

65069
Parallel Programming Basics with MPI
Spring Semester (0-2-0)
Chair to be arranged

  1. Objectives
    This course aims to introduce basics of parallel programming with MPI (Message Passing Interface) on a Supercomputing Grid Cluster named TSUBAME, as well as focusing on the design of parallel algorithms for solving problems in the area of human economic science.

66046
A Comparative Study of Modern Japanese Culture
Autumn Semester (2-0-0)
Prof. Leith Morton

  1. Objective
    The chief objective of the course is to introduce students to texts fundamental to the construction of modern Japanese culture, and by reading, examining and discussing these texts in class in English provide students with a introduction to modern Japanese culture and the modern Japanese sensibility. Another objective is to enhance students’ ability to express their understanding of these texts through compulsory essays in English.
  2. Contents
    Class 1 will provide a general introduction to the course. All texts will be read in English translation.
    Classes 2 and 3 will examine Yanagita Kunio’s Tono Monogatari (The Legends of Tono, 1910).
    Classes 4 and 5 will examine Natsume Soseki’s Michikusa (Grass By the Wayside, 1915).
    Classes 6 and 7 will examine Kuki Shuzo’s Iki no Kozo (The Structure of Iki, 1930).
    Classes 8 and 9 will examine Tanikawa Shuntaro’s Tabi (Journeys, 1968).
    Classes 10 and 11 will examine Murakami Haruki’s Umibe no Kafka (Kafka on the shore 2002).
    Classes 12 and 13 will focus on general discussion.
    Class 14-15 will summarize the course.

66014
Global Environmental Governance
Spring Semester (2-0-0)
Assoc. Prof. Norichika KANIE

  1. Objective
    In order to solve global environmental issues such as climate change and depletion of Ozone layer, various environmental governance functions need to be satisfied with multiple actors as well as their trans-boundary networks.
    What lessons can we learn from the past experience on environmental governance in this respect? Using case studies on variety of issues on environmental governance, this course provides students with insights on the reality of environmental governance, and discuss lessons leant from the future institutions for the earth.

66065
Values in Comparative Culture
Autumn Semester (2-0-0)
Lecturer, Azusa Omura

  1. Objective
    The chief objective of the course is to consider the relationship between Japanese culture and Western culture. By examining descriptions of Western culture in Japanese literature, students will discover how the Japanese have perceived and transformed Western culture into their own culture through modernization.
    Another objective is to explore how Western people have observed Japan and the difference between images of ‘traditional Japan’ and ‘modern Japan’ in modern Western literature. The study of Western people’s attitudes toward ‘modern Japan’ will help students to understand present-day Japan as a part of the international society.
    This course will encourage students to understand Japanese culture in a comparative way.
  2. Contents
    This course offers a comparative study on modern Japanese culture (from the Meiji Restoration to the Second World War) from various perspectives, particularly focusing on the influence of Western culture. Students are required to attend all classes and submit two essays in English. All texts are read and discussion is conducted in English.
    [Schedule]
    1. Class 1 General Introduction to the Course
    2. Class 2 The Background of Modern Japan
    3. Class 3 The Image of ‘Traditional Japan’ in the West
    4. Class 4 Western Culture in Modern Japanese literature
    5. Class 5 The Translation of Western Literature 1: Background
    6. Class 6 The Translation of Western Literature 2: Horiguchi Daigaku
    7. Class 7 The Experience of Western Culture 1: Background
    8. Class 8 The Experience of Western Culture 2: Takamura Kōtarō
    9. Class 9 The Experience of Western Culture 3: Nagai Kafū
    10. Class 10 Images of ‘Modern Japan’ 1: Background
    11. Class 11 Images of ‘Modern Japan’ 2: Paul Morand
    12. Class 12 East and West during World War II 1: Background
    13. Class 13 East and West during World War II 2: Murano Shirō
    14. Class 14 East and West during World War II 3: Yokomitsu Riichi
    15. Class 15 Summary
  3. Grading
    The course evaluation is based on attendance, participation in discussion and two essays. Students are required to submit two essays discussing topics that will be given later.

66066
International Management
Spring Semester (2-0-0)
Lecturer, Magnier-Watanabe Remy

  1. Objective
    The International Management course is intended to be a challenging advanced management course for undergraduate and graduate students. Students will gain a general overview of the process and effect of internationalization in contemporary business, along with an introduction to theories, concepts and skills relevant to managing effectively in today's global environment. Students will be challenged to integrate knowledge they have gained from other courses and apply their accumulated knowledge to business case studies. Students will engage in analytical problem-solving related to managing in the international environment and will frequently be called upon to brief their findings to the class.
    The course primarily uses a combination of lecture, class discussion, case analysis, group and individual assignments.
  2. Contents
    This course focuses on the challenges and opportunities associated with organizational management and business strategy in the global environment. This class is aimed at anyone who wants to understand the people, culture, geography, and politics of international business.
    [Schedule]
    Part I: Environmental Foundation
    1. Globalization and International Linkages
    2. The Political, Legal, and Technological Environment
    3. Ethics and Social Responsibility
    Part II: The Role of Culture
    4. The Meanings and Dimensions of Culture
    5. Stakeholders, Strategies, and Decision-making
    6. Organizational Culture and Diversity
    7. Cross-Cultural Communication and Negotiation
    Part III: International Strategic Management
    8. Strategy Formulation and Implementation
    9. Entry Strategies and Organizational Structures
    10. Foreign Direct Investment and Managing Political Risk
    11. Staffing, Training, and Compensation for Global Operations
    12. Capstone Session: Group Project Presentations
    13. Capstone Session: Group Project Presentations
    14. Final Exam
  3. Grading
    Participation    20%
    Group Case Presentation    20%
    Group Foreign Entry Strategy Project    30%
    Final Exam    30%
  4. Textbook and reference
    None; all materials will be provided in class.

66064
The Philosophy and Practice of Collaborative Deliberation
Autumn Semester (2-0-0)
Lecturer, Mitsuyo Toyoda

  1. Objective
    The aim of this seminar is to strengthen students’ understanding of the importance of collaborative deliberation through the practice of dialogical inquiry. The major expectations are: 1) students demonstrate their ability to participate in constructive dialogues, and 2) students deepen their understanding of the value of collaborative deliberation in public decision processes. Both individual and group works will be involved in this course.
  2. Contents
    This seminar is designed to help students deepen their understanding of the values of collaborative deliberation through the practice of dialogical inquiry. Students learn what conditions are necessary for constructive dialogue, and develop their attitudes and skills for participating in communicative deliberation. They will also explore the importance of collective thinking in public decision processes by studying the cases of democratic decision processes.
    [Schedule]
  3. Grading
    Attendance, Participation (60%)
    Presentation (40%)
  4. Comments from lecturer
    The contents of the course may change depending on students’ abilities and needs. The class will be mostly given in English. Students are expected to actively participate in class activities such as paired and group discussions. Reading and writing assignments will be given.
  5. Textbook and reference
    Handouts will be distributed in class.

66030
Social Systems Modeling
Autumn Semester (2-0-0)
Prof. Takehiro INOHARA

  1. Objective
    Mathematical modeling methods and mathematical analysis methods for social systems are presented through lectures and exercises. This course gives definitions, examples and analysis methods of games in normal form, games in extensive form, option forms, graph models, simple games, games in characteristic function form, and so on, as models for analyzing decision making situations. Methods of coalition formation analysis and relation analysis are also introduced.
    Students are required to prepare and submit three reports: a report on the background and the detail of a real-world decision making situation (Background Report), that on the model of the situation (Model Report) and that on the analysis of the situation (Analysis Report). Also, they are required to prepare and make a presentation based on these reports in the end of the term.
    This course aims to cultivate the students’ ability of selecting an appropriate model for analyzing a focal decision making situation, that of describing a real-world decision making situation by a model, that of analyzing the model and taking out some insights on the situation from the results of the analysis and that of deriver the results of the analysis to others concisely.
  2. Contents
    [Schedule]
    The 1st week:
       Lecture plan, Preliminaries on mathematical symbols, Classification of decision making situations
    The 2nd week:
       Competitive decision making situations 1: Games in normal form
    The 3rd week:
       Competitive decision making situations 2: Games in extensive form with perfect information
    The 4th week:
       Competitive decision making situations 3: Games in extensive form with imperfect information
    The 5th week:
       Competitive decision making situations 4: Option forms (the deadline of the submission of Background Report)
    The 6th week:
       Feedback of Background Report
    The 7th week:
       Competitive decision making situations 5: Graph models
    The 8th week:
       Social decision making situations 1: Simple games and committees
    The 9th week:
       Social decision making situations 2: Games in characteristic function form
    The 10th week:
       Advanced Analysis Methods 1: Coalition analysis of competitive decision making situations (the deadline of the submission of Model Report)
    The 11th week:
       Feedback of Model Report
    The 12th week:
       Advanced Analysis Methods 2: Attitude analysis of competitive decision making situations
    The 13th week:
       Advanced Analysis Methods 3: A mathematical model of consensus building
    The 14th week:
       Presentations
    The 15th week:
       Presentations (the deadline of the submission of Analysis Report)
  3. Grading
    Through three reports (25% each) and presentation (25%)
  4. Comments
    This course is designated as one of the courses in the Education Program for Consensus Building (http://www.ipcob.org/course/), in which students are recommended to be enrolled. Detailed explanations on the enrollment in the Education Program can be found in the above web site. Contact courses@valdes.titech.ac.jp for more inquiry.

66081
Decision-making Analysis in the Nuclear Age
Autumn Semester (2-0-0)
Prof. Masako IKEGAMI

  1. Objective
    This course is designed to introduce the historical case studies of critical decision-making over the development and use of nuclear weapons and technology. Main topics include: the Manhattan Project, atomic bombing of Hiroshima and Nagasaki, Cuban missile crisis, nuclear arms race during the Cold War, weapons of mass destruction (WMD) proliferation, North Korean and Iranian nuclear crises, missile defence, arms control & nuclear non-proliferation, and nuclear energy. Some policy issues, such as nuclear arms control and disarmament, nuclear deterrence, nuclear diplomacy and nuclear energy, are also included.
    Upon completion of the course, students are expected to be able to:
  2. Contents
    Class 1 Introduction
    Class 2 The Manhattan Project: Developing the Atomic bomb
    Class 3 Decision-making of the use of the Atomic bomb
    Class 4 Origins of the Cold War and initial nuclear proliferation
    Class 5 The Cuban Missile Crisis
    Class 6 Nuclear arms race, doctrine and strategy
    Class 7 Nuclear deterrence theory
    Class 8 ‘Atoms for Peace’: Peaceful use of atomic energy
    Class 9 Détente and arms control during the Cold War
    Class 10 The Strategic Defence Initiative (SDI) and missile defence
    Class 11 The end of the Cold War: the INF Treaty
    Class 12 Post-Cold War nuclear disarmament
    Class 13 Post-Cold War nuclear proliferation
    Class 14 ‘A world without nuclear weapons’ or ‘nuclear anarchy’?
    Class 15 Final paper due and final presentations
  3. Grading
    Regular class attendance and active participation (10%), Reading response memos (three memos/10% each), Essay work (final paper) (60%)
  4. Comments
    Nuclear technology - military or civilian - dominated the world in political, economic, and military terms in the latter half of the 20th century. It is an open question if we are heading toward “a world without nuclear weapons” as coined by President Obama. Knowledge of nuclear issues will deepen your understanding of the contemporary world.
  5. Textbook and reference

    A compendium of articles and book chapters may be included as handouts.

67056
Marketing
Autumn Semester (2-0-0)
Assoc. Prof. Sulin CHUNG

  1. Objectives
    Marketing is one of the various management processes employed by companies to create value for customers. The skillful marketer is able to identify or create customer needs, and then work with the various other functions within or outside the company to design and deploy capabilities to satisfy those needs better than competitors can. By the end of this course, students will: 1. be familiar with characteristics of marketing and distribution strategies and practices. 2. be able to analyze, synthesize, and integrate basic marketing theories and concepts through the use of cases.
  2. Contents

67038
Design Thinking
Spring Semester (2-0-0)
Assoc. Prof. Hiroyuki UMEMURO

  1. Objective
    In today’s society, there are a number of problems that can be solved through the thinking way of design, or design thinking, from simple designs to large and complex social problems. The goals of this class are to learn the fundamentals of design thinking, as well as to propose solutions to actual problems in the real world. Students are first to learn the concept and methods of design thinking, and then to form groups and propose solutions through actual practices, including field study, research, ideation, and prototyping.
  2. Contents

67055
Financial Statement Analysis and Valuation
Autumn Semester (2-0-0)
Assoc. Prof. Kyoko NAGATA

  1. Objectives
    The objective of this course is to develop the ability to use financial statement information effectively in making economic decisions. The intended learning outcomes include
  2. Contents
    This course will use a variety of teaching methods including lectures, readings, case assignments, and discussions for better understanding of the following issues:
  3. Evaluation
    Course grade will reflect the following emphases:

67006
Ergonomics for Organization and Systems Design
Autumn Semester (2-0-0)
Prof. Kenji ITOH and Assoc. Prof. Hirotaka AOKI

  1. Objectives
    This course aims at obtaining knowledge and basic skills about the disciplines called ergonomics/human factors, their approaches and their applications to actual design of human-machine systems, work and organisations. Among various contents related to ergonomics with which people are working, this class focuses on applications of ergonomic approaches and methods to actual design and evaluation of human-machine systems and organizational aspects. Contents covered in this class are largely divided into three categories, for which some case studies are included: (1) Introduction to ergonomics (2) Human-machine interaction and usability, (3) Human errors and risk management.
  2. Contents
    Note: In addition to lectures, some group assignments (+ presentation and discussion) will be made concerning some specific topics for better understanding of ergonomic concepts and approaches. Simple questions - just one page answer required - will be also given every second week in the end of lecture for the same purpose.
  3. Grading
    Final assignment, individual assignments, group assignments and ordinary attitudes in the class, e.g., participation in discussions and questions (+ attending status in the class).

67032
Business Information Systems Project
Spring Semester (2-0-0)
Assoc. Prof. Dai SENOO and Assoc. Prof. Sanetake NAGAYOSHI

  1. Objective
    The overall objectives of this course are to investigate the nature and techniques of business information systems development project. Through a semester-long project, students will learn how to set and formulate a problem and a goal of the target system.
  2. Contents

67062
IT Value in Practice
Autumn Semester (2-0-0)
Prof. Junichi IIJIMA and Assoc. Prof. Dai SENOO

  1. Objective
    The investments in Information Technology (IT) are increasing, however productivity at the economy, industry, and organization levels are not increasing. In order to escape this “IT Paradox”, the course sets these four objectives.
  2. Contents

67060
Transdisciplinary Collaboration Practice
Autumn Semester (0-0-2)
Assoc. Prof. Dai SENOO and Assoc. Prof. Yuji TOU

  1. Objectives
    The objectives of this course are to connect the theories and knowledge that students have obtained at the School to real business practices. Each project team is assigned an actual issue faced by actual companies. Through group work, students will formulate the problems and recommend original solutions. After the final presentation, students will review the whole research process based on the feedback provided by the companies, and design further personal growth strategies.
  2. Contents

67020
History of Science and Technology and Environmental Problems
Spring Semester (2-0-0)
Assoc. Prof. Masanori KAJI

  1. Objective
    With an emphasis on Japan, this seminar course intends to offer a survey of major environmental problems in the 20th century, while tracing the growth of environmental awareness and environmentalism worldwide. It will highlight the relationship between environmental degradation and technological and industrial development, and the threat to the environment and public health by big businesses. The topics include industrial pollution, toxic chemicals, nuclear tests and disasters, global warming and nuclear energy.
    The course hopes to raise student’s awareness of growing environmental problems associated with science and technology, and to give them an opportunity to explore and assess these problems critically and from multiple angles. It also aims to help them to improve their conversational and writing skills.
  2. Contents
    It will focus on four major topics: the issues and debates surrounding the methyl mercury poisoning of Minamata (and other industrial pollution related diseases) in Japan and Rachel Carson’s Silent Spring (1962) in the US, both of which played a crucial role in shaping the global environmental consciousness, environmental movement and environmental policies. It will also look at the debate over global warming and nuclear energy -via the ongoing catastrophe involving the Fukushima Dai-ichi nuclear power plant- and how they are reshaping our environmental thinking and politics.
  3. Grading
    This course is conducted in a seminar format and in English. Class attendance and participation in discussions are essential. Students are expected to: (1) read the assigned reading or view the assigned audio-visual material prior to the class; (2) participate in classroom discussions; (3) do a mini-presentation; (4) write short papers, and (5) attend possible field trips (voluntary).
  4. Textbook and reference

67079
Corporate Management and Financial Decision
Autumn Semester (2-0-0)
Prof. Kotaro INOUE

  1. Objective
    This is a graduate school course of corporate finance. The goal of this course is to bring master students to the fundamental of corporate finance so that they can start their own research in this field and other related field such as investment, corporate management, and accounting.
  2. Contents
    Participants are expected to have basic knowledge of finance such as capital assets pricing model (CAPM) beforehand. This course will follow recent literature in the field of corporate finance such as corporate governance, capital structure, mergers and acquisitions, and behavioral corporate finance. In particular, we will focus on empirical studies in these fields. All the participants are expected to read all the assigned papers. In the last two classes, we will discuss cases to provide students a sense how implications from academic researched and real businesses interact.

68043
Public Policy and Project Valuation
Spring Semester (2-0-0)
Prof. Noboru HIDANO

  1. Objective
    I intend to offer you the essence of cost benefit analysis and valuation methods for public policy and projects including revealed preference techniques for non-market goods, ordinal estimations for market goods and stated preference methods, such as contingent valuation, in environmental and ecological economics.
  2. Schedule
    Introduction
    Cost benefit analysis
    Expenditure functions and several measures
    Benefit estimation methods
    Contingent valuation methods and incentive compatibility
    Problems of travel cost approach
    Hedonic analysis and capitalization theorem
    Hedonic econometric estimations
    Several examples
  3. Text: Hidano, N. (2002). The Economic Valuation of the Environment and Public Policy: A Hedonic Approach, Edward Elgar
    Note: It is important for students who take this lecture to have basic knowledge in undergraduate micro-economics. Office: W9-628
    Office hours: about 30 minutes after each lecture

68058
Surveys and Experiments in Environmental Economics
Autumn Semester (1-1-0)
Prof. Noboru HIDANO

  1. Objective
    We will discuss basics and important topics in experiments and surveys in Environmental Behavioral Economics. We will talk about compatibility, reciprocity, anchoring and analytical methods for surveys and experiments.
  2. Contents
    1) Surveys and experiments in environmental economics
    2) Incentive compatibility and consequentiality
    3) Reciprocity
    4) Anchoring effects
    5) Survey design
    6) Experiment design
    7) Analytical methods

68059
Recent Developments in Game Theory
Spring Semester (0-1-0)
Prof. Shigeo MUTO

  1. Objective
    Students of the master and doctorate courses report on their own research results on game theory. This is an intensive seminar including participants from our collaborated universities: Keio University, Waseda University, Seoul National University, and National Tsing Hua University in Taiwan. Students improve their presentation skills in English through discussions with other participants.

68068
Urban Planning and Development in Japan
Autumn Semester (2-0-0)
Prof. Shigeo MUTO

  1. Objective
    The purpose of the lecture is to allow those overseas students who are not familiar with the Japanese urban development context to understand the Japanese planning system in general. The contents include urban and planning history of Japan, the Japanese urban planning and development system and the urban design in Japan. This lecture is provided in English in an intensive form, usually in January or February. The precise dates of the lectures will be announced in December.

Category B-2: Courses in Other Departments (‘Όκ–ε‰Θ–Ϊ)

70020
Rural Telecommunications
Autumn Semester (2-0-0)
Prof. Jun-ichi TAKADA and Prof. Takahiro AOYAGI

  1. Objective
    Information and communication technologies enable the transfer of information instantly between any points in the world. Moreover, it has become common understanding that the ICT infrastructure is indispensable for the development of the industry and economy. However, the reality is very severe in the developing world, especially in rural and remote areas. Imbalance of the distribution of ICT infrastructure in the world has been intolerable for the long time. This lecture overviews the history, technologies and applications of ICT infrastructure in rural and remote areas, both in the social and the technical aspects.

Category C-1: Courses Designated by Program (ƒvƒƒOƒ‰ƒ€Žw’θ‰Θ–Ϊ)

65060
Presentation Skills
Autumn Semester (1-1-0)
Prof. Kahoko Matsumoto and Shin-ichi Mayekawa

  1. Objective
    The objective of this course is to provide students some basic skills for making academic presentations in English using visual aids.

66045
Effective Presentations in English
Autumn Semester (1-1-0)
Lecturer, Azusa Omura

  1. Objective
    The chief objective of the course is to improve students’ skills in presenting their research in academic conferences and classes in English. By gaining a basic knowledge of academic presentations in English, students will be able to compose effective presentations with visual aids. And through the two required presentations, students will study how to respond to questions from audiences and capture the audiences’ attention with visual information.
    This course will encourage students to present their research in English in an effective way.
  2. Contents
    This course offers an effective way of giving presentations in English with visual aids. Students are required to attend all classes and give two presentations in English. All texts are read, and discussion and presentations are conducted in English.
    [Schedule]
    1. Class 1 General Introduction to the Course
    2. Class 2 Preparation for Presentations
    3. Class 3 Introduction to Presentations
    4. Class 4 Body of Presentations
    5. Class 5 Conclusion of Presentations
    6. Class 6 Languages for Presentations
    7. Class 7 Studentsf Presentations
    8. Class 8 Evaluation of Presentations
    9. Class 9 How to Use Visual Aids 1
    10. Class 10 How to Use Visual Aids 2
    11. Class 11 Delivering Presentations 1
    12. Class 12 Delivering Presentations 2
    13. Class 13 Strategy for Effective Presentations
    14. Class 14 Students’ Presentations
    15. Class 15 Summary
  3. Grading
    The course evaluation is based on attendance, participation in discussion and two presentations. Students are required to give two presentations (in class 7 and class 14).