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- Common courses
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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
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
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School of Environment and Society
- Department of Architecture and Building Engineering
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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 Chemistry
- Instructor(s)
- Juhasz Gergely Miklos
- Class Format
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-8(GSIC Terminal room 1, 学術国際情報センター３F 第１実習室)
- Group
- -
- Course number
- CHM.A221
- Credits
- 1
- Academic year
- 2020
- Offered quarter
- 4Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course teaches the basics of programming for Chemistry students with little or no programming experience. Chemists need to collect data, analyze data or perform calculations in the laboratory on an everyday basis. This course shows how basic programming can help to solve problems in the laboratory and make chemical research more effective. The course will use Python, which is a free programming language with several libraries available for data analysis and scientific computation.
Student learning outcomes
By the end of the course, students will be able to write and execute programs in Python language and perform simple statistical calculations.
Keywords
Programming, Python
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
The first four classes consist of lectures and programming practice. It will be followed by three practice centered classes where students will solve problems individually or by small groups.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Using Unix / Linux. Basics of Jupyter development environment. Programming in Python. | Be able to use the operating system, editor, and first steps in Python programming. |
| Class 2 | Working with files and data. Visualization of data. | |
| Class 3 | Basic data manipulation and calculations using Python. | |
| Class 4 | Version control and collaboration. Using Git. | |
| Class 5 | Working on programming problems | |
| Class 6 | Working on programming problems | |
| Class 7 | Working on programming problems |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
No textbook is set.
Reference books, course materials, etc.
Course materials can be found on OCW-i
Assessment criteria and methods
Students will be assessed on their understanding of python programming. Students' course scores are based on programming code and final report.
Related courses
- CHM.A301 ： Exercise in Computational Chemistry and Chemical Information 1
- CHM.A302 ： Exercise in Computational Chemistry and Chemical Information 2
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Not specified.
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
Gergely Juhasz
juhasz[at]chem.titech.ac.jp
Office hours
Ask questions during practices.
