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- 工学院，物質理工学院，環境・社会理工学院共通科目
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School of Environment and Society
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Chemical Science and Engineering
- Instructor(s)
- Okawara Shinichi Yoshikawa Shiro
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue1-2(南4号館情報ネットワーク演習 第１演習室，第２演習室)
- Group
- -
- Course number
- CAP.E241
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- 2021/4/22
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
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Course description and aims
[Summary of the course] The course teaches fundamentals of data analysis useful in chemistry-related research fields such as chemical engineering, applied chemistry, polymer engineering with exercises. The course also teaches how to conduct data analysis on computer based on understanding of mathematical background of data analysis with exercises on computer.
[Aim of the course] The aim of the course is for students to understand expression methods of data; definitions of statistics; regression analysis; Chi-squared test; discrete probability distribution; continuous probability distribution; probability density distribution; Fourier series. The course also aims that students can conduct data analysis on computer by getting capability of coding computer program.
Student learning outcomes
By completing this course, students will be able to:
(1) Explain statistics of data
(2) Conduct regression analysis and explain the relation between two variables
(3) Conduct reliability test
(4) Explain discrete probability distribution, continuous probability distribution and probability density distribution
(5) Conduct Fourier series expansion of periodic function and explain characteristics of the function by interpreting Fourier coefficients
(6) Code and use program for data analysis on computer
Keywords
data analysis, statistics, probability, reliability test, Fourier series
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
For each topic, its fundamentals are taught, and subsequently, programming exercises are conducted on computer to enhance understanding and programming skills.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Fundamentals of programming (input/output, variable, data type, operator, conditional branch, comparison operator, loop) | To code input/output, variable, data type, operator, conditional branch, comparison operator, loop. |
| Class 2 | Solution of equation, linear equation system, numerical integration | To code for solving equation/linear equation system and for conducting numerical integration. |
| Class 3 | Fundamentals of finite difference method and approximate solution of differential equation | To explain finite difference method and approximate solution of differential equation. |
| Class 4 | Analysis of transport phenomena by finite difference method | To analyze transport phenomena by finite difference method. |
| Class 5 | Methods of statistics | To explain methods of statistics. |
| Class 6 | Discrete probability distribution and continuous probability distribution | To explain discrete probability distribution and continuous probability distribution. |
| Class 7 | Fundamentals of random variation data analysis, Fourier transform and spectral analysis | To explain Fourier series. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Text book specified by the instructor.
Reference books, course materials, etc.
Unspecified.
Assessment criteria and methods
Learning achievement is evaluated by exercises and assignments.
Related courses
- CAP.C423 ： Computational Fluid Dynamics
- CAP.C201 ： Transport Phenomena I (Momentum)
- CAP.C202 ： Transport Phenomena II (Heat)
- CAP.C203 ： Transport Phenomena III (Mass)
- CAP.C441 ： Transport Phenomena and Operation
- CAP.C206 ： Chemical Reaction Engineering I (Homogeneous System)
- CAP.C306 ： Chemical Reaction Engineering II (Heterogeneous System)
Prerequisites (i.e., required knowledge, skills, courses, etc.)
No prerequisites.
