2018 Mathematical Methods for Materials Science

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Academic unit or major
Undergraduate major in Materials Science and Engineering
Instructor(s)
Sasagawa Takao  Tada Tomofumi 
Course component(s)
Lecture     
Day/Period(Room No.)
Mon1-2(S7-201)  Thr1-2(S7-201)  
Group
-
Course number
MAT.C310
Credits
2
Academic year
2018
Offered quarter
4Q
Syllabus updated
2018/9/14
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

The aim of the first half of the course is to learn the basics of the mathematical methods for materials science.
The aim of the second half of the course is to learn the advanced mathematical methods for materials science especially in the quantum mechanical point of view.

Student learning outcomes

Students will get the knowledge and skills of Mathematical methods for Materials Science.

Keywords

Mathematical methods for Materials Science

Competencies that will be developed

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

Class flow

Lectures and practices.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction: Fundamentals I Introduction: Fundamentals I
Class 2 Fundamentals II Fundamentals II
Class 3 Exercise on fundamentals Exercise on fundamentals
Class 4 Differential equations: Quantum states Differential equations: Quantum states
Class 5 Applied calculus: Distribution functions and thermal properties I Distribution functions and thermal properties
Class 6 Applied calculus: Distribution functions and thermal properties II Distribution functions and thermal properties
Class 7 Exercise on differential equations and applied calculus Exercise on differential equations and applied calculus
Class 8 Linear algebra (basics) Linear algebra (basics)
Class 9 Linear algebra (applications I: Projection and Operation) Linear algebra (applications I: Projection and Operation)
Class 10 Linear algebra (applications II: Eigenmode analysis) Linear algebra (applications II: Eigenmode analysis)
Class 11 Fourier transformation (basics) Fourier transformation (basics)
Class 12 Fourier transformation and reciprocal space Fourier transformation and reciprocal space
Class 13 Linear algebra and Quantum mechanics Linear algebra and Quantum mechanics
Class 14 Exercise on Linear algebra and Fourier transformation Exercise on Linear algebra and Fourier transformation
Class 15 N/A N/A

Textbook(s)

Specified as necessary.

Reference books, course materials, etc.

Specified as necessary.

Assessment criteria and methods

Short quizzes and reports

Related courses

  • ZUB.M201 : Applied Mathematics for Physicists and Scientists I
  • ZUB.M213 : Applied Mathematics for Physicists and Scientists II

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

No requirements

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