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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Artificial Intelligence
- Instructor(s)
- Machida Motoya Alexander Shibakov Suzumura Toyotaro
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive (G311,S223)
- Group
- -
- Course number
- ART.T544
- Credits
- 2
- Academic year
- 2017
- Offered quarter
- 1-2Q
- Syllabus updated
- 2017/7/27
- Lecture notes updated
- 2017/6/27
- Language used
- English
- Access Index
-
Course description and aims
In this intensive course, advanced topics in wide range of informatics such as mathematical information sciences, intelligence sciences, life-sciences
and socio-economic sciences are introduced by visiting lecturers.
The aim of this cource is to broaden students' perspective by lectures of advanced topics by active scientists in the front line.
Student learning outcomes
Students can obtain knowledge about advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
Keywords
mathematical information sciences, intelligence sciences, life sciences, socio-economic sciences
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Lectures give intensive lectures about selected advanced topics. The lectures are divided two independent parts: The former half, Mathematical Foundetion on Quantum Computation will be given, and the latter half, Tehcniques for Large Scale High Performance Computer Systems will be scheduled. The lectures of each part will take 2 or 3days intensive ones. The dates and time will be scheduled after the regular 2nd quater courses have finished. About the detailed contents and schedules, students should contact with the professors T. Murofuashi (the first part; murofushi@c.titech.ac.jp) and/or T. Terano (the second part; terano@c.titech.ac.jp).
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Preliminary discussion for mathematics of qunatum computation, and class organization. | Study of advanced topics |
| Class 2 | Physics and mathematics of simple (single qubit) systems. | Study of advanced topics |
| Class 3 | Quantum state spaces: tensor products and n qubit systems | Study of advanced topics |
| Class 4 | Quantum probability, entanglement, and Bell's theorem | Study of advanced topics |
| Class 5 | Quantum state transformations and quantum gates | Study of advanced topics |
| Class 6 | Introduction to quantum computation | Study of advanced topics |
| Class 7 | Simple quantum algorithms: Deutsch-Jozsa, and Simon's problems | Study of advanced topics |
| Class 8 | Introduction to Large scale High Performance Computer Systems | Study of advanced topics |
| Class 9 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 10 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 11 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 12 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 13 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 14 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
| Class 15 | Advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences. | Study of advanced topics |
Textbook(s)
None
Reference books, course materials, etc.
Specified by lecturers
Assessment criteria and methods
Will be based on excercise and report . The topic will beannounced by each lecturer.
Related courses
- None
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
Other
None
