2024 Faculty Courses Liberal arts and basic science courses Basic science and technology courses
Computer Science I 5b(CS1)
- Academic unit or major
- Basic science and technology courses
- Instructor(s)
- Tomoaki Kawano
- Class Format
- Lecture/Exercise (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Thu
- Class
- 5b(CS1)
- Course Code
- LAS.I121
- Number of credits
- 0.50.50
- Course offered
- 2024
- Offered quarter
- 3Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
Computer science is a field that scientifically and mathematically studies the principles and practices on problem-solving with computers, computation, programming, etc. In this course, students will learn the basics of computer science necessary for their future research and work; specifically, they will learn the following topics.
・Basic programming (with Python).
・Basics of algorithm theory (focusing on sorting algorithms).
Course description and aims
To be able to write Python programs using basic data structures and basic control flows. To understand typical sorting algorithms and the basics of algorithm theory.
Keywords
Programming, Python, algorithms, sorting.
Competencies
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Programming (1) | Python program execution. Arithmetic operators, variables, assignment, etc. |
| Class 2 | Programming (2) | Basic control flows. IF, WHILE, etc. |
| Class 3 | Programming (3) | Array and string. |
| Class 4 | Programming (4) | Recursion. |
| Class 5 | Algorithm (1) | Selection sort, insertion sort, merge sort, quick sort, etc. |
| Class 6 | Algorithm (2) | Computer experiment on sorting algorithms. |
| Class 7 | Algorithm (3) | Theoretical analysis. |
Study advice (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 will be provided via T2SCHOLA.
Evaluation methods and criteria
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
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
Freshmen must take classes as assigned. Please refer to the following Web page for classes of freshman students and classes for non-freshman students.
https://www.titech.ac.jp/student/pdf/life-undergraduatetimetables-2024f-13-7a-2.pdf
Please carry your student ID card at all times during the course.