Course title
3M8225001
Advanced Analytical Chemistry

 SEGAWA Hiroki
Course content
Instrumental analysis plays a central roles in current analytical chemistry. This class will provide the knowledge necessary for correctly interpreting instrumental measurement data.
Purpose of class
Accurate interpretation of instrumental measurement data is fundamental for informed decision making. For this purpose, understanding of statistics, the principles of instrumental analysis methods, and the evaluation method on experimental errors based on these knowledge is important. The purpose of this class is getting practical knowledge on these contents.
Goals and objectives
  1. Understanding how to interpret instrumental analysis data statistically, particularly how to perform hypothesis testing and error evaluation.
  2. Understanding the principles of instrumental analysis methods.
  3. Understanding how to evaluate the limit of the analytical methods students use in their research.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Report and assignment Total.
1. 40% 40%
2. 40% 40%
3. 20% 20%
Total. 100% -
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Statistics in analytical chemistry (1) Learning probability distribution, law of large numbers and central limit theorem 200minutes
2． Statistics in analytical chemistry (2) Learning sampling distribution 200minutes
3． Statistics in analytical chemistry (3) Learning hypothesis testing, particularly Student's t-test and F-test 200minutes
4． Statistics in analytical chemistry (4) Learning the method to evaluate errors 200minutes
5． Statistics in analytical chemistry (5) Learning multivariate analysis 200minutes
6． Instrumental analysis (1) Learning vibrational spectroscopy 200minutes
7． Instrumental analysis (2) Learning separation analysis 200minutes
8． Instrumental analysis (3) Learning gas chromatography and liquid chromatography 200minutes
9． Instrumental analysis (4) Learning mass spectrometry 200minutes
10． Instrumental analysis (5) Learning analytical methods using X-ray 200minutes
11． Practice on data interpretation (1) Learning method validation 200minutes
12． Practice on data interpretation (2) Statistically interpret data that each student have obtained previously 200minutes
13． Practice on data interpretation (3) Present and discuss the results of statistical interpretation of students' data 200minutes
14． Analytical chemistry applied to real-world problems Learning application of analytical chemistry to forensic science 200minutes
Total. - - 2800minutes
Evaluation method and criteria
The final grade will be determined by the cumulative score of assignments and reports, which are submitted periodically to assess understanding, with a maximum of 100 points. A minimum overall score of 60 points is required to pass the course.
Students can achieve up to 60% of the points by demonstrating understanding of the fundamental concepts presented in the lectures.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
Referential materials will be distributed in the lecture.
Reference books recommended:
　入門 統計学 第２版（オーム社、Japanese）
　誤差がわかれば実験データがいきる―技術者と科学者のための不確かさ解析（丸善出版、Japanese）
　機器分析（エキスパート応用化学テキストシリーズ）（講談社、Japanese）
Prerequisites
There is no prerequisites for this class.
Office hours and How to contact professors for questions
  • Office hours: Tue. (13:20-16:50) Please make an appointment by e-mail before visiting.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable The lecturer has experience in forensic identification in the previous affiliation.
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 16.PEACE, JUSTICE AND STRONG INSTITUTIONS
Last modified : Tue Mar 25 04:05:59 JST 2025