▶Japanese
Post to SNS
- Home
- > School of Computing
- > Undergraduate major in Mathematical and Computing Science
- > Programming I
- 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 Mathematical and Computing Science
- Instructor(s)
- Wakita Ken Cong Youyou
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Mon7-8(W833) Tue5-6(西7演習室) Fri5-6(W833)
- Group
- -
- Course number
- MCS.T224
- Credits
- 3
- Academic year
- 2022
- Offered quarter
- 3Q
- Syllabus updated
- 2022/4/20
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course emphasizes the process of completing a program, as well as the analysis of the functions of a computer system and the step-by-step completion of the program, taking the appropriate steps. Students will be able to analyze the system, describe its properties, identify technical problems, and select appropriate implementation methods.
Student learning outcomes
This course aims to enable students to effectively use modern programming environments, such as automatic build systems, compilers, test tools, and software repositories; to understand the concept of system states and to acquire the ability to design and develop state-based programming; and to develop practical software on a certain scale.
Students who have learned the rudiments of functional programming will be introduced to the basics of state-based programming.
Keywords
Programming, Software development, Functional Programming, Scala
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Lectures and exercises will be coordinated with each other. In the exercises, students work on individual tasks and group work.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Review of Scala Programming | Review the syntax and semantics of Scala |
| Class 2 | Scala program structure and Scala development | Learn the Scala language and its development environment |
| Class 3 | States | Learn about states and their representations |
| Class 4 | Event handling | Learn about event handling, side-effects, and exception handling |
| Class 5 | Higher-order functions | Learn higher-order functions |
| Class 6 | Extending state representations | Learn about techniques to extend the existing state representations |
| Class 7 | Graph structure representations | Learn how to represent graph structures |
| Class 8 | Graph algorithms | Learn algorithms for analyzing graphs |
| Class 9 | Objects and Classes | Learn objects and classes as an abstraction of compound data structure |
| Class 10 | Game strategy and edge pruning (1) | Learn about game strategies and edge pruning |
| Class 11 | Game strategy and edge pruning (2) | Learn about game strategies and edge pruning (continued) |
| Class 12 | Concurrent computing and parallel execution (data parallelism) | Learn the techniques for data parallelism |
| Class 13 | Concurrent computing and parallel execution (task parallelism) | Learn the techniques for task parallelism |
| Class 14 | Massively parallel computing (GPGPU) | Learn the techniques for general-purpose GPU computing |
| Class 15 | Student Presentation | Invite students to present their final project |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to course material.
Textbook(s)
None
Reference books, course materials, etc.
Lecture slides, practice materials, and reference videos will be provided via Slack. Sample code and exercise programs will be provided via GitHub.
Assessment criteria and methods
Students should be able to develop using basic development tools, and should be able to analyze, design, and implement requirements for small-scale program development. Students will be evaluated on the achievement of quizzes in lectures (about 30%) and the achievement of programming tasks (about 70%).
Related courses
- MCS.T204 ： Introduction to Computer Science
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Successful completion of MCS.T204 (Introduction to Computer Science) is required.
