Information Processing 2

Course title

V2820700

	ishiwata tetsuya
	ozaki katsuhisa

Course description

This lecture concerns programming in C language and Mathematica(Computer algebra system). Students write their codes in C language, and learn applications using built-in functions in Mathematica.
In this lecture, students learn basic concepts and methods for C programming, how to use Mathematica for symbolic computation, data analysis, and visualization.
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 structured programming using C language and symbolic computation using Mathematica.
In addition, students have experience in data analysis, numerical computations and visualization of data.

Goals and objectives

to be able to write codes with variable, if branch, for loop, function, pointer, recursive function calling.
to be able to make a code in C language, treat data, and give a mathematical analysis
to understand symbolic computation and to be able to use Mathematica for several mathematical problems and data analysis.
to be able to give a visualization of numerical data.

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, printf	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
2.	Variables and Computations, Output of Computed Result: int, double, printf	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
3.	Input and Branch: scanf, if～else, logical expression	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
4.	Exercise of Programming with Branch: printf, if, scanf	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
5.	Programming with Pseudo-random Numbers: Pseudo-random Numbers, rand function, if～else	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
6.	Loop and Monte Carlo simulation: for, if～else, Monte Carlo simulation	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
7.	Array, data analysis: 1 dimensional array, average, variance, standard deviation, the maximum value, the minimum value, deviation value	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
8.	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
9.	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
10.	Exercise: Exercise for Probabilistic.	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
11.	MATLAB Programming: variable, substitution, operations, matrix computations	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
12.	Statistical processing using MATLAB: average, variance, standard deviation, the maximum value, the minimum value, deviation value	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
13.	Visualization using MATLAB: plot, scatter plot, histogram, mesh plot, regression analysis	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
14.	Conclusion and Examination	Preparation: Read the webpage of this lecture. Review: Check again the webpage of this lecture and finish all exercises.	200minutes
Total.	-	-	2800minutes

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

	Reports	Final exam	Total.
1.	10%	15%	25%
2.	10%	15%	25%
3.	10%	15%	25%
4.	10%	15%	25%
Total.	40%	60%	-

Evaluation method and criteria

Reports, final examination

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) （Appointment is preferred）

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 applicatable
N/A	該当しない

Education related SDGs:the Sustainable Development Goals

9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Sat Mar 21 14:12:51 JST 2020