Course title
Q28401001
Exercises in Information Processing 2

 KIMURA Gen

KUWAHARA Hiroaki
Course description
To enable students to fully demonstrate the ability of computers for data processing in data science, and to learn methods for more flexible use. As its methods, there are a method to make a computer perform required processing by programming using a programming language, and a method to perform it using existing application software with required functions. In this lecture, students learn various concepts and techniques necessary for programs, and methods of data analysis and system design by application software. However, programming languages, application software, and priority items differ depending on the needs of each department. Students should attend the introductions in the first class and listen carefully to the explanations. The classes are closely linked to the parallel "Information Processing II".
Purpose of class
On the premise of Information processing I in the preceding term, in the first half of Information processing II, basic learning of C language is carried out so that data processing for data science can be programmed from the beginning. In the second half, he will practice modeling data science based on physics.
Goals and objectives
  1. Students can understand the structure and grammar of the program, and prepare and decode the program using conditional branching and iterative processing.
  2. Student can understand functions and arrays, and make and decode programs using them.
  3. Students can make c-codes for dynamical systems
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 試験（前半） 課題 Total.
1. 20% 20% 40%
2. 10% 20% 30%
3. 30% 30%
Total. 30% 70% -
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction and programming language descriptions Check the syllabus. 100minutes
2. Data types, input/output, operators Preparation of items related to text data types, input/output, and operators 100minutes
3. Conditional branch Prepare conditional branches 100minutes
4. Iteration Learn about text repetition 100minutes
5. Arrays: array concepts, one-dimensional and multidimensional arrays Preparation of items related to text arrays 100minutes
6. Functions: function formatting and how to create Preparation of the topics related to how to make functions of text 100minutes
7. Review Previous General Review 100minutes
8. Introduction to numerical simulation: Chaos Review basics of c programming language 100minutes
9. Introduction to Euler method 1: Falling phenomena in viscous resistance Review Newton's motion of equation with gravity and viscous resistance 100minutes
10. Euler method 2: Vibration phenomena in viscous resistance Review simple pendulum with viscous resistance 100minutes
11. Introduction to middle point method Consider how to improve the accuracy of numerical calculations. 100minutes
12. Middle point method 2: Multi-degree-of-freedom oscillations and binary stars Review multi-degree-of-freedom oscillations 100minutes
13. Middle point method 3: Double pendulum Review Double pendulum 100minutes
14. Groupwork Previous General Review 100minutes
Total. - - 1400minutes
Evaluation method and criteria
Evaluate by a small test, an intermediate test, an end-of-term test, and assignments in a lecture. The 60 out of 100 points acquisition level shall be the level at which an example given in a class can be solved.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Follow the instructions of your assigned teacher.
Prerequisites
Desirable Information processing I and Information processing exercise have been completed.
Office hours and How to contact professors for questions
  • 30 minutes after class, in the laboratory of each instructor.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable One of the instructors in charge was using C language in the R & D department when he was working in a company, so he shares his knowledge with the students.
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Jun 28 17:10:06 JST 2024