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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
- Media-enhanced courses
- Day/Period(Room No.)
- Mon3-4(W621)
- Group
- EN(CS2)
- Course number
- LAS.I122
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 4Q
- Syllabus updated
- 2018/3/20
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
The aim of this course is to help students acquire basic knowledge and skills in computer science. Throughout the course, students tackle three problems, which are selected from the important topics in computer science --- algorithms, computational complexity, numerical computation, simulation, cryptography, etc.
Student learning outcomes
At the end of this course, students will acquire basic knowledge and skills in computer science.
Keywords
computer science, programming, algorithms, computational complexity, numerical computation, simulation, cryptography.
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
This course consists of lectures and programming exercises.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction. | Taught in the class. |
| Class 2 | (Problem 1) Problem setting and programming exercise. | Taught in the class. |
| Class 3 | (Problem 1) Theoretical analysis. | Taught in the class. |
| Class 4 | (Problem 2) Problem setting and programming exercise. | Taught in the class. |
| Class 5 | (Problem 2) Theoretical analysis. | Taught in the class. |
| Class 6 | (Problem 3) Problem setting and programming exercise. | Taught in the class. |
| Class 7 | (Problem 3) Theoretical analysis. | Taught in the class. |
Textbook(s)
To be announced in the first class.
Reference books, course materials, etc.
To be announced in the first class.
Assessment criteria and methods
Students' course scores are determined based on project assignments (about 50%) and final exam (about 50%).
Related courses
- LAS.I111 ： Information Literacy I
- LAS.I112 ： Information Literacy II
- LAS.I121 ： Computer Science I
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students must have successfully completed Computer Science I (LAS.I121) or have equivalent knowledge.
