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- School of Science
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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
- Basic science and technology courses
- Instructor(s)
- Bonnet Francois Pierre Andre
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon3-4(学術国際情 報センター 情報棟3階 第1実習室)
- Group
- EN(CS1)
- Course number
- LAS.I121
- Credits
- 1
- Academic year
- 2023
- Offered quarter
- 3Q
- Syllabus updated
- 2023/7/26
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
The essence of “computation” is quite simple: four basic arithmetic operations, zero test, and iteration. What is executed on computers is a “program” consisting of such very simple operations. Computer Science is a field of science and engineering that investigates various methods for realizing what we want to do as “computation” so that it can be executed on computers. This course introduces key concepts and methods for analyzing tasks and problems from the computational viewpoint. This new view should be a key to not only using of computers but also for understanding things in any other fields of science and engineering.
Student learning outcomes
At the end of this course students are able to:
1) Explain how various objects are encoded as binary strings and processed in computers.
2) Understand how a computation is specified as a program.
3) Explain basic concepts used in programming such as variable, branch, iteration, array, and subroutine.
4) Understand the basic structure of computers as a software system as well as a hardware system.
Keywords
Digitalization, basis of computation, computer architecture, program, programming, software, operating system
Competencies that will be developed
| Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
During the class, programming exercises will be conducted along with lectures. Homework and report assignments to confirm understanding will be given in the class. There are also some quizzes in the class.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction to the basis of computation: digitalization, basic operations for computation, program | Write basic programs for simple tasks. |
| Class 2 | Programming exercise by using basic operations. | Understand a way to construct programs and execute them on a computer. |
| Class 3 | Basic programming tools: Array | Understand the concept of the array and its usage. |
| Class 4 | Programming exercise by using arrays. | Construct programs using the array. |
| Class 5 | Basic programming tools: string, subroutine | Understand the notions of string and subroutine and their usage. |
| Class 6 | Programming exercise by using strings and subroutines. | Construct programs for string processing by using subroutines. |
| Class 7 | Wrap up | Review the entire course |
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.
Osamu Watanabe, Computer Science (in Japanese), Maruzen Science Pallet, 2015, ISBN 978-621-08972-9.
Course materials will be provided via T2SCHOLA.
Assessment criteria and methods
Grades will be based on homework, report assignments and quizzes given in class.
Related courses
- LAS.I111 ： Information Literacy I
- LAS.I112 ： Information Literacy II
- LAS.I122 ： Computer Science II
Prerequisites (i.e., required knowledge, skills, courses, etc.)
In this class, it is desirable for a participant to have access to a PC (Windows PC or Mac) at home for self-study of the programming exercises. It is also desirable to have completed Information Literacy I (LAS.I111).
Other
Please carry your student ID card at all times during the course. The matrix code printed on its back is essential for using educational computers.
