Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School School of Science
Lecture Code HX432200 Subject Classification Specialized Education
Subject Name 化学特別講義(天然物有機化学II)
Subject Name
(Katakana)
カガクトクベツコウギ(テンネンブツユウキカガクニ)
Subject Name in
English
Special Lectures in Chemistry (Organic Chemistry in Natural ProductsII)
Instructor MURAKAMI KAZUMA,IZUMI SYUNSUKE
Instructor
(Katakana)
ムラカミ カズマ,イズミ シュンスケ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Inte
Lesson Style Lecture Lesson Style
(More Details)
 
Introduction of related paper
Report of individual research themes
Discussion and consideration of biochemistry 
Credits 1.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 4 : Undergraduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 07 : Chemistry
Eligible Students
Keywords  
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
To get the knowledge and understanding of the natural products that are used as materials and resources. 
Class Schedule lesson1
What is natural products chemistry?
lesson2
Possibility of Alzheimer's disease prevention by polyphenol
lesson3
Basis for the reaction of carbonyl compounds
lesson4
Strategy of organic synthesis (I)
lesson5
Strategy of organic synthesis (II)
lesson6
Natural organic compounds and their biosynthetic pathways
lesson7
Biosynthesis of fatty acids from viewpoint of Claisen condensation
lesson8
Biosynthesis of amino acids and peptides
lesson9
Synthesis of peptides at solid states
lesson10
Amyloid β peptide toxicity expression mechanism
lesson11
Test
lesson12
lesson13
lesson14
lesson15 
Text/Reference
Books,etc.
Suggestion in the lecture 
PC or AV used in
Class,etc.
 
(More Details) Distributed data, Image data 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Comments will be in the lecture.
Understanding in the lecture 
Requirements  
Grading Method Test and report
 
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. 
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