Academic Year |
2025Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Chemistry Program |
Lecture Code |
WSD07000 |
Subject Classification |
Specialized Education |
Subject Name |
分析化学 |
Subject Name (Katakana) |
ブンセキカガク |
Subject Name in English |
Analytical Chemistry |
Instructor |
ISHIZAKA SHOJI,MATSUBARA HIROKI |
Instructor (Katakana) |
イシザカ ショウジ,マツバラ ヒロキ |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Tues1-2,Thur3-4:SCI E210 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
Face-to-face |
|
Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
E
:
English |
Course Level |
6
:
Graduate Advanced
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
07
:
Chemistry |
Eligible Students |
|
Keywords |
Experimental error, Statistics, Light scattering |
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) | |
Class Objectives /Class Outline |
First half (lesson 1 to 8): The objectives are to broaden and deepen the fundamental knowledge and understanding of statistics for Analytical chemistry. Second half (lesson 9 to 15): In the second half of the lecture, we will learn about basic principles and analysis methods of static/dynamic light scattering, X-ray scattering (SAXS), and neutron scattering (SANS). As an introduction, an overview of the colloidal dispersion system to which scattering method is applied, and brief explanations of the electromagnetic wave will be given. |
Class Schedule |
Lesson1: Types of error Lesson2: Mean and standard deviation Lesson3: Propagation of random errors Lesson4: Significance tests Lesson5: Regression and correlation Lesson6: Errors in the slope and intercept of the regression line Lesson7: Limits of detection Lesson8: “Midterm Examination” Lesson9: Electromagnetic waves Lesson10: Static light scattering (1) Lesson11: Static light scattering (2) Lesson12: Dynamic light scattering Lesson13: Small-angle X-ray scattering Lesson14: Small-angle Neutron scattering Lesson15: Other related methods |
Text/Reference Books,etc. |
No specified textbook will be used. |
PC or AV used in Class,etc. |
Handouts, Visual Materials |
(More Details) |
First half (lesson 1 to 8): Use a PC with Microsoft Excel installed. |
Learning techniques to be incorporated |
|
Suggestions on Preparation and Review |
lessons 1 to 15: thoroughly read over lecture notes. |
Requirements |
|
Grading Method |
Grades will be based mainly upon midterm exam and report results. Weekly performances will also be considered. |
Practical Experience |
|
Summary of Practical Experience and Class Contents based on it |
|
Message |
|
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. |