Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Graduate School of Integrated Sciences for Life (Master's Course) Division of Integrated Sciences for Life Program of Mathematical and Life Sciences
Lecture Code WG147103 Subject Classification Specialized Education
Subject Name 生命理学特別演習B
Subject Name
(Katakana)
セイメイリガクトクベツエンシュウビー
Subject Name in
English
Exercises in Life Science B
Instructor BONO HIDEMASA
Instructor
(Katakana)
ボウノウ ヒデマサ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  Second Semester
Days, Periods, and Classrooms (2nd) Inte:Faculty Office
Lesson Style Seminar Lesson Style
(More Details)
 
Oral presentation and discussion using PC  
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 6 : Graduate Advanced
Course Area(Area) 26 : Biological and Life Sciences
Course Area(Discipline) 04 : Life Sciences
Eligible Students
Keywords SDG_04, SDG_09, Bioinformatics, biological data analysis, genome sequencing, next generation sequencer, gene expression analysis, functional genomics, data science, data literacy, informatics technology 
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
Students carefully read original papers and acquire knowledge to perform their own research.  
Class Schedule Lesson 1: Reading original papers related to their own research (1)
Lesson 2: Reading original papers related to their own research (2)
Lesson 3: Reading original papers related to their own research (3)
Lesson 4: Reading original papers related to their own research (4)
Lesson 5: Reading original papers related to their own research (5)
Lesson 6: Perform experiments (1)
Lesson 7: Perform experiments (2)
Lesson 8: Perform experiments (3)
Lesson 9: Perform experiments (4)
Lesson 10: Perform experiments (5)
Lesson 11: Analysis and presentation of obtained results (1)
Lesson 12: Analysis and presentation of obtained results (2)
Lesson 13: Analysis and presentation of obtained results (3)
Lesson 14: Analysis and presentation of obtained results (4)
Lesson 15: Analysis and presentation of obtained results (5) 
Text/Reference
Books,etc.
Original papers, Documents from teacher 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
You should carefully read original papers beforehand.  
Requirements  
Grading Method Attitude in the research activities and skills on the oral presentation.  
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it Faculty members in charge have experience in many bioinformatics research projects 
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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