2020 Computer Programming (Industrial Engineering and Economics)

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Academic unit or major
Undergraduate major in Industrial Engineering and Economics
Nakata Kazuhide 
Course component(s)
Lecture / Exercise
Mode of instruction
Day/Period(Room No.)
Mon5-8(西9号館 311号室)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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


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 Algorithm and complexity We instruct in each class
Class 9 Recommendation algorithm We instruct in each class
Class 10 Recommendation algorithm, implementation We instruct in each class
Class 11 Machine learning 1 We instruct in each class
Class 12 Machine learning, implementation 1 We instruct in each class
Class 13 Machine learning 2 We instruct in each class
Class 14 Machine learning, implementation 2 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.


None required

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 reports.

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.


Bring the notebook PC to lecture

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