Logistics Management Ⅱ

Course Information

College Toyama College Year 2021
Course Title Logistics Management Ⅱ
Course Code 0071 Course Category Specialized / Elective
Class Format Lecture Credits School Credit: 1
Department Department of International Business Student Grade 3rd
Term Second Semester Classes per Week 2
Textbook and/or Teaching Materials
Instructor Murayama Masako

Course Objectives

To understand the analytical method of the basic concepts and data of management science.
The primary objective of the course is to acquire the basic skills to collect and analyze information.

Rubric

Ideal LevelStandard LevelUnacceptable Level
Achievement 1Students understand the basics of statistical analysis to learn Management Science and can do simple analysis.Students will be able to perform basic analysis based on the basic statistical analysis for studying Management Science.Students cannot do simple analysis using basic statistical analysis techniques to learn business science.
Achievement 2Students will be able to perform statistical and predictive calculations, using basic mathematical knowledge.Students can perform statistical and predictive calculations as described, using basic mathematical knowledge.Students can't do statistical and predictive calculations, making use of basic mathematical knowledge.
Achievement 3Students can solve exercises on basic statistical analysis, using spreadsheet software (Excel).Students can solve exercises on basic statistical analysis as described. using spreadsheet software (Excel).Students cannot solve exercises on basic statistical analysis, using spreadsheet software (Excel).

Assigned Department Objectives

Teaching Method

Outline:
Learn the basics of statistical analysis to learn management science. Perform statistical and predictive calculations using basic mathematical knowledge. Understand the theory in the lecture and practice using spreadsheet software (Excel).
Style:
Lectures and exercises
Notice:
The recognition of credit requires 60 points or more rating. 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.

Characteristics of Class / Division in Learning

Active Learning
Aided by ICT
Applicable to Remote Class
Instructor Professionally Experienced

Course Plan

Theme Goals
2nd Semester
3rd Quarter
1st Orientation Understanding of course structure, evaluation, learning method.
2nd Demand forecast (simple regression analysis) Perform simple regression analysis using Excel.
3rd Demand forecast (simple regression analysis) Learn the concept of simple regression analysis (quadratic formula) and practice.
4th Demand forecast (simple regression analysis) Perform simple regression analysis (quadratic formula) using Excel.
5th Demand forecasting (multiple regression analysis) Learn the concept of multiple regression analysis.
6th Demand forecasting (multiple regression analysis) Perform multiple regression analysis using Excel.
7th Time series analysis (moving average) Learn the concept of time series analysis.
Find the moving average.
8th Mid-term examination Perform the test for the range of learning.
4th Quarter
9th Data analysis Using database functions
10th Data analysis 2 Perform statistical processing using Excel
Using PivotTables and PivotCharts
11th Creating a document Word and Excel coordination
12th Using financial functions Calculation of depreciation (straight-line method)
Calculate depreciation (straight-line method) using Excel financial functions
13th Use of financial functions 2 Calculation of depreciation (declining balance method)
Use Excel's financial function to find depreciation (declining balance method)
14th Use of financial functions 3 Calculation of debt repayment
Calculates even payment of principal and interest using Excel's financial function
15th Term-end examination
16th Checking the final grade

Evaluation Method and Weight (%)

ExaminationPresentationMutual Evaluations between studentsBehaviorPortfolioOtherTotal
Subtotal80000020100
Basic Proficiency400000545
Specialized Proficiency4000001050
Cross Area Proficiency0000055