ITKS557 Cross-Cultural and Context Computing (2–6 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2020-2021, 2021-2022, 2022-2023, 2023-2024
Description
Content
Examples of cross-cultural and context computing, terminology, theoretical basis of the Mathematical Model of Meaning (MMM), several applications of MMM in multimedia and WWW environments.
Completion methods
Team work or independent work exercises in each Module by the supervising teacher..
Assessment details
Course exercises done according to guidelines, innovative application design and working demonstrations, scientific articles well summarized according to given guidelines.
Learning outcomes
The course is a Web-based course in collaboration with Keio Unversity SFC Japan. Students will be informed when the course is open. The course has three modules. Each module is 2 cp. You can do one, two or all three modules - in this order.
After the Module 1, students understand the theoretical basis of the Mathematical Model of Meaning, its several applications in multimedia and WWW environments, and related future research issues.
After Module 1 + Module 2, students can apply the Mathematical Model of Meaning in “PostgreSQL” environment, design simple applications and carry out some calculations by herself/himself.
After Module 1 + Module 2 + Module 3, students can identify interesting and innovative research and development topics related to the Mathematical Model of Meaning and possibly extend these to their master/PhD thesis subjects.
After the Module 1, students understand the theoretical basis of the Mathematical Model of Meaning, its several applications in multimedia and WWW environments, and related future research issues.
After Module 1 + Module 2, students can apply the Mathematical Model of Meaning in “PostgreSQL” environment, design simple applications and carry out some calculations by herself/himself.
After Module 1 + Module 2 + Module 3, students can identify interesting and innovative research and development topics related to the Mathematical Model of Meaning and possibly extend these to their master/PhD thesis subjects.
Description of prerequisites
Basic programming skills, basic knowledge on databases and relational databases and SQL, basic knowledge on matrix algebra, basic knowledge of LISP
Study materials
All materials will be available in course's e-learning system.
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (2–6 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English