Numerical Computation

Course Information

College Toyama College Year 2020
Course Title Numerical Computation
Course Code 0115 Course Category Specialized / Elective
Class Format Lecture Credits School Credit: 1
Department Department of Electronics and Computer Engineering Student Grade 4th
Term Second Semester Classes per Week 2
Textbook and/or Teaching Materials Cによる数値計算法入門、第2版、新装版(堀之内、酒井、榎園)森北出版
Instructor Furuyama Shoichi

Course Objectives

Understandings of numerical algorithm for equations and simultaneous equations(c3)
Understandings for programming technique of numerical method(d)
60 or more socore is required for JABEE certification

Rubric

Ideal levelStandard levelUnacceptable level
Programming technique for numerical calculationStudent can solve numerical solution by reasonable method.Student can get solution by computer programming.Student cannot get solution by computer programming.
Theory and application of numerical calculationStudent can understand interpolation theory and achieve the code on computer in some programming language.Student can calculate interpolation method.Student cannot calculate interpolation method.

Assigned Department Objectives

MCCコア科目   See Hide
JABEE B5 See Hide
ディプロマポリシー 1 See Hide

Teaching Method

Outline:
Learning objective (aim of class)
(Learning and educational goal) C1 (JABEE criteria (1) 1) c3, d
Computer numerical calculations are used in a wide range of natural sciences, engineering, social sciences and other fields. In this subject, students learn about various algorithms necessary for numerical calculation (c3). Also, learn how to create a numerical calculation program in C language (d).
Style:
Deepen your understanding by focusing on specific calculation methods.
Those who do not have a score of 60 can take the certification test upon request. Evaluation criteria for the certification test conform to this test. Those who earn credits in the Persuasion Test score 60 points.
Notice:
Comprehensive evaluation with average (70%) of mid-term exam and final exam, programming exercises and reports (30%).

Course Plan

Theme Goals
2nd Semester
3rd Quarter
1st Solution of Equations Bisection Method
2nd Roots of Equation Newton Method
3rd Simultaneous Linear Equations Matrix expression for simultaneous linear equations
4th Simultaneous Linear Equations Upper triangular matrix for simultaneous linear equation
5th Simultaneous Linear Equations Gauss elimination for simultaneous linear equation
6th Simultaneous Linear Equations Gauss Jordan method and inverse matrix
7th Simultaneous Linear Equations Types of simultaneous linear equations
8th Simultaneous Linear Equations Application for Linear Programming (LP)
4th Quarter
9th Mid term exam Roots of equation, simultaneous linear equation
10th Simultaneous Linear Equations LU decomposition method for simultaneous linear equation
11th Interpolation Method Lagrange interpolation
12th Interpolation Method divided differences
13th Interpolation Method Difference, and difference tabular
14th Interpolation Method Newton's forward interpolation
15th Final Exam Interpolation Method
16th Confirm feedback of final exam

Evaluation Method and Weight (%)

試験発表相互評価態度ポートフォリオその他Total
Subtotal70300000100
Basic Abirity350000035
Specific Abirity3530000065