▶Japanese
Post to SNS
- Home
- > School of Engineering
- > Undergraduate major in Industrial Engineering and Economics
- > Computer Programming (Industrial Engineering and Economics)
- School of Science
-
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
- Undergraduate major in Industrial Engineering and Economics
- Instructor(s)
- Nakata Kazuhide
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-8(W9-311)
- Group
- -
- Course number
- IEE.A207
- Credits
- 2
- Academic year
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- 2024/3/14
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
In the first half of the lecture, students learn the basic programming languages such as the control structure and functions and data types. In the second half, students experience program development through making programs to solve some exercise problems.
Through lectures and workshop experience, the course enables students to understand and acquire fundamental skills.
Student learning outcomes
After completing this course, students will be able to do:
computer programming
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
Students practice programming using python.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | We instruct in each class |
| Class 2 | Interpreter | We instruct in each class |
| Class 3 | Control structure | We instruct in each class |
| Class 4 | Function | We instruct in each class |
| Class 5 | Data structure | We instruct in each class |
| Class 6 | Module | We instruct in each class |
| Class 7 | Colaboratory | We instruct in each class |
| Class 8 | Class | We instruct in each class |
| Class 9 | PageRank | We instruct in each class |
| Class 10 | PageRank, implementation | We instruct in each class |
| Class 11 | Recommendation algorithm | We instruct in each class |
| Class 12 | Recommendation algorithm, implementation | We instruct in each class |
| Class 13 | Machine learning | We instruct in each class |
| Class 14 | Machine learning, implementation | We instruct in each class |
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)
None required
Reference books, course materials, etc.
Course materials can be found on T2SCHOLA
Assessment criteria and methods
Students will be assessed on their understanding of python programming.
Students' course scores are based on programming code and final examination.
Related courses
- IEE.A230 ： Advanced Computer Programming
Prerequisites (i.e., required knowledge, skills, courses, etc.)
This lecture is limited to students in the department of Industrial Engineering and Economics.
Other
Bring the notebook PC to lecture
