Information Processing 2

Course title

V2820700

	ISHIWATA Tetsuya
	OZAKI Katsuhisa

Course description

This lecture concerns programming in C language. Students write their codes in C language.
In this lecture, students learn various concepts and techniques necessary for programming, mathematical processing, and data analysis using the C language.
This exercise is strongly related to "Exercises in Information Processing 2."

Purpose of class

Programming is necessary for special subjects in the department of mathematical sciences after the second year.
In this lecture, students learn basic programming using C language for data processing and numerical computations.

Goals and objectives

The student understands variables, decision branches, iterations, arrays, and pseudorandom numbers in the C language and can write basic programs using them. The student is also able to explain the contents of such programs.
The student understands functions, pointers, and recursive calls in C language and can write basic programs using them. The student is also able to explain the contents of such programs.
The student understands file input/output in C language and can process and mathematically analyze data. The student is also able to explain the contents of such programs.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Reports	Total.
1.	35%	35%
2.	35%	35%
3.	30%	30%
Total.	100%	-

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Introduction, Compile, Output: Compile and Execution, Basic computation, output: printf	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
2.	Variables and Data, Type Output and Input : printf, scanf Branch: if, if else Loop: for Logical expression	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
3.	Visualization of the process: flowchart Array	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
4.	Multiple loops Array, data analysis: 1 dimensional array, average, variance, standard deviation, the maximum value, the minimum value, deviation value Programming with Pseudo-random Numbers: Monte Carlo simulation:	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
5.	Group exercise 1 　　Sort, Monte-Carlo and so on...	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
6.	Functions and Procedures, Exercise for Statistics: format of functions, functions for statics	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
7.	Recursive Functions: Recursive Functions, Sequence	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
8.	Pointer	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
9.	Multidimensional arrays, especially two-dimensional arrays	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
10.	Group exercise 2 Exercise for Probabilistic.	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
11.	File input/output	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
12.	Statistical processing in C 　Statistical Processing of Real Data	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
13.	Group exercise 3 　Data analysis using real data by C	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
14.	Summary of Group exercises and Conclusion	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
Total.	-	-	2800minutes

Evaluation method and criteria

The reports include the following
　Regular reports
　Group work reports and peer evaluations
　Progress questionnaires for each session

The achievement of students will be evaluated by all reports and submissions. If the score is 60% or more, you can pass.

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
The Others	授業内、およびScombZ/LMSにてフィードバックを行う。

Textbooks and reference materials

original web-site for this lecture

Prerequisites

Information Processing I and its exercise,
Exercises in Information Processing 2 (in parallel)

Office hours and How to contact professors for questions

Ishiwata: Thu. (12:35:13:05) （Make appointments in advance.）

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

About half of the classes are interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
N/A	該当しない

Education related SDGs:the Sustainable Development Goals

4.QUALITY EDUCATION
9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Thu Feb 13 04:08:13 JST 2025