| Academic Year |
2024Year |
School/Graduate School |
School of Education |
| Lecture Code |
CC234803 |
Subject Classification |
Specialized Education |
| Subject Name |
アルゴリズム論 |
Subject Name
（Katakana） |
アルゴリズムロン |
Subject Name in
English |
Introduction to Algorithm Theory |
| Instructor |
KIKUCHI AKIRA,SUZUKI HIROYUKI |
Instructor
(Katakana) |
キクチ アキラ,スズキ ヒロユキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
Lecture-oriented, Exercises
|
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
2
:
Undergraduate Low-Intermediate
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
08
:
Curriculum and Instruction Sciences |
| Eligible Students |
|
| Keywords |
|
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Secondary School Technology and Information Education
（Knowledge and Understanding）
・Having acquired knowledge of information processing.
（Abilities and Skills）
・To be able to utilize productive activities related to information processing. |
|---|
Class Objectives
/Class Outline |
You will acquire techniques for information processing by studying basics of computer algorithms. The class also includes applications of computation onto educations.
|
| Class Schedule |
Lesson1: Problem Solutions and Algorithms
Lesson2: Information using in Computation
Lesson3: Algorithms and Programming
Lesson4: Digital Errors by Computation
Lesson5: Characters and Data used for Computation
Lesson6: Sequential, Repetition and Conditional Branching Processes
Lesson7: Selection of Algorithm in respect to the Purpose
Lesson8: Sort, Merge
Lesson9: Modeling in respect to the Purpose
Lesson10: Data collection, Arrangement and Analysis
Lesson11: Random Numbers
Lesson12: Simulation using Random Numbers
Lesson13: Introduction to Encipher Algorithm
Lesson14: Introduction to Practical Examples of Data Processing
Lesson15: Summary of Algorithms
|
Text/Reference
Books,etc. |
Handouts will be distributed as needed.
|
PC or AV used in
Class,etc. |
|
| (More Details) |
Laptop computer |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Lesson1: Understand problem solutions and algorithm.
Lesson2: Understand information using in computation.
Lesson3: Understand Algorithms and Programming．
Lesson4: Understand digital errors by computation．
Lesson5: Understand data type (char, int).
Lesson6: Understand sequential, repetition and conditional branching processing.
Lesson7: Understand Algorithm selection in respect to the purpose.
Lesson8: Understand sort and merge processes．
Lesson9: Understand modeling for computation．
Lesson10: Understand data collection, arrangement and analysis．
Lesson11: Understand random number．
Lesson12: Understand simulation．
Lesson13: Think about encipher algorithm.
Lesson14: Think about examples of practical data processin．
Lesson15: Summarize algorithms.
|
| Requirements |
|
| Grading Method |
Students will be evaluated comprehensively based on reports and others.
|
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Bring your laptop computer. |
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |