2019 International Colloquium in Decision Science and Technology(IE&M) X

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Academic unit or major
Industrial Engineering and Management
Instructor(s)
Academic Supervisor 
Course component(s)
Exercise
Day/Period(Room No.)
Seminar ()  
Group
-
Course number
ZDC.Y696
Credits
2
Academic year
2019
Offered quarter
1-2Q
Syllabus updated
2019/5/20
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

This course is designed to provide students with specialist knowledge in their fields of study as well as basic knowledge in broad areas with a focus on their own research. Students will incorporate the gained knowledge into their own research, participate in academic discussions, and give presentations of their findings.
The aims of this course are not only to develop the students' skills such as literature search and analysis, mapping techniques, and techniques for collecting, analyzing, and assessing data, but also to acquire linguistic proficiency and comprehension as well as the ability to present ideas and arguments effectively in academic writings through discussions and presentations.

Student learning outcomes

Students will acquire the following by completing International Colloquium 5-10:
1. Professional expertise for identifying fundamental scientific and technical issues encountered in industrial engineering and economics
2. Ability to independently acquire expertise in areas outside the field of industrial engineering and economics and apply it to practical problem solving
3. Ability to freely utilize specialist knowledge to solve problems and come up with creative ideas
4. Ability to conduct research with awareness of the international trends in research and development
5. Ability to explain concepts logically, develop arguments, and put them in writings

Keywords

Literature search, data collection, data analysis, academic writing, presentation, discussion, laboratory-based education, coursework

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills

Class flow

This course is held at the academic supervisors' laboratories. The plan will be determined through discussions with students. In some cases, multiple laboratories may choose to hold joint classes.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Conduct the course through consultation with academic supervisor(s). To be determined through consultation with academic supervisor(s).

Textbook(s)

Specified by the academic supervisor as necessary.

Reference books, course materials, etc.

Specified by the academic supervisor as necessary.

Assessment criteria and methods

Specifics of the assessment criteria and methods, which are in accordance with the student learning outcomes 1–5, will be announced prior to the start of the course.

Related courses

  • ZDC.Y691 : International Colloquium in Decision Science and Technology(IE&M) V
  • ZDC.Y692 : International Colloquium in Decision Science and Technology(IE&M) VI
  • ZDC.Y693 : International Colloquium in Decision Science and Technology(IE&M) VII
  • ZDC.Y694 : International Colloquium in Decision Science and Technology(IE&M) VIII
  • ZDC.Y695 : International Colloquium in Decision Science and Technology(IE&M) IX
  • ZDC.Y696 : International Colloquium in Decision Science and Technology(IE&M) X

Prerequisites (i.e., required knowledge, skills, courses, etc.)

1. Students must be a member of one of the laboratories in the Department of Industrial Engineering and Economics.
2. Students must have completed the 200- and 300-level basic courses offered by the Industrial Engineering and Economics undergraduate major or have equivalent knowledge.
3. Students must have completed the 400- and 500-level courses offered by the graduate major in Industrial Engineering and Economics or have equivalent knowledge.

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