Logistics Management Ⅰ

Course Information

College Toyama College Year 2021
Course Title Logistics Management Ⅰ
Course Code 0070 Course Category Specialized / Elective
Class Format Lecture Credits School Credit: 1
Department Department of International Business Student Grade 3rd
Term First Semester Classes per Week 2
Textbook and/or Teaching Materials
Instructor Murayama Masako

Course Objectives

The primary objective of the course is to acquire the ability to collect, analyze (including statistical processing), and transmit various 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
1st Semester
1st Quarter
1st Orientation Understanding of course structure, evaluation, learning method.
2nd Market research and statistics (frequency distribution table) Learn the features and concepts of frequency distribution tables.
3rd Market research and statistics (histogram) Create a frequency distribution table using Excel. (Frequency distribution table and histogram)
4th Probability distribution Calculation of statistical indicators
Calculate Quantile
5th Calculation of statistical indicators Review the concept of statistical indicators (standard deviation).
6th ABC analysis (1) Perform ABC analysis using Excel.
(2) Learn the concept of simple regression analysis .
7th Inventory valuation Learn how to evaluate inventory.
8th Mid-term examination Perform the test for the range of learning.
2nd Quarter
9th Break-even point Learn about break-even points.
10th Man-hour management Learn about man-hour management.
11th Demand forecast Learn the concept of demand forecasting.
(1) Review of linear function
(2) Learn the concept of simple regression analysis
12th Demand forecast (simple regression analysis) Simple regression analysis exercise
13th Demand forecast (simple regression analysis) Learn about OLS concepts.
14th Demand forecast (simple regression analysis) Estimate by OLS.
15th Term-end examination
16th Checking the final grade

Evaluation Method and Weight (%)

ExaminationPresentationMutual Evaluations between studentsBehaviorPortfolioOtherTotal
Subtotal80000020100
Basic Proficiency4000001050
Specialized Proficiency3000001040
Cross Area Proficiency100000010