基本情報/Basic Information

開講科目名 ／Course	分析技術法Ａ／Analytical Methodology A
時間割コード ／Course Code	A262000004
ナンバリングコード ／Numbering Code
開講所属 ／Course Offered by	農学生命科学研究科／Graduate School of Agriculture and Life Science
曜日コマ ／Day, Period	他
開講区分 ／Semester offered	集中
単位数 ／Credits	1.0
学年 ／Year	1,2
主担当教員 ／Main Instructor	藤井　祥／FUJII SHO
科目区分 ／Course Group	大学院（修士課程）
教室 ／Classroom
必修・選択 ／Required/Elective
授業形式 ／Class Format
メディア授業 ／Media lecture	－

担当教員情報/Instructor Information

教員名 ／Instructor	教員所属名 ／Faculty/Department
藤井　祥／FUJII SHO	農学生命科学部／Faculty of Agriculture and Life Science

難易度（レベル） ／Level	Level 5
対応するＤＰ ／DP	DP3
授業としての具体的到達目標 ／Concrete arrival target as the class	- To understand the principles of methods used to analyze gene expression. - To perform gene expression analysis using quantitative PCR (qPCR) and acquire the associated analytical skills.
授業の概要 ／Summary of the class	Students will isolate RNA from biological materials and perform quantitative analysis of mRNA levels using real-time PCR (qPCR). The course also covers the theoretical background of the method and introduces statistical approaches for analyzing experimental data.
授業の内容予定 ／Contents plan of the class	1. Introduction to Gene Expression Analysis 2. RNA Extraction 3. Reverse Transcription 4. Introduction to Real-Time PCR 5. Gene Expression Analysis Using Real-Time PCR 6. Introduction to Data Analysis Methods 7. Data Analysis On-demand: Assignments based on distributed materials. Note: The specific schedule will be decided in consultation with the students.
成績評価方法及び採点基準 ／A scholastic evaluation method and marking standard	Participation and engagement: 50% Report assignment: 50% Final grades will be determined based on the overall performance in the above components. The direct copying of text or figures generated by AI is prohibited in report assignments. If any concerns arise, the content may be reviewed in person, and the outcome of this review may be reflected in the final grade.
予習及び復習等の内容 ／Contents such as preparations for lessons and the review	Students are expected to review prior undergraduate lectures and exercises related to gene expression and methods for its analysis. They should also prepare basic statistical concepts, such as how to calculate standard deviation and how to perform a t-test. Estimated time required for preparation and review: 30 hours.
教材・教科書 ／The teaching materials, textbook	No textbook is required for this course. Handouts and other materials will be provided by the instructor.
参考文献 ／bibliography	No specific references are assigned.
留意点・予備知識 ／Point to keep in mind, back ground	For Sessions 5–7, please bring a laptop computer capable of using Microsoft Excel. It is desirable (though not required) that you are also able to use R.
授業内容に関する質問・疑義等 ／Question, doubt about class contents	Questions are welcome on weekdays between 10:00 and 18:00. If the instructor is in the office, inquiries can be addressed at any time during these hours.
Eメールアドレス・HPアドレス ／E-mail address, HP address	shofujii@hirosaki-u.ac.jp
学問分野1（主学問分野） ／Discipline 1	G43:分子レベルから細胞レベルの生物学およびその関連分野
学問分野2（副学問分野） ／Discipline 2	G44:細胞レベルから個体レベルの生物学およびその関連分野
学問分野3（副学問分野） ／Discipline 3	該当なし
地域志向科目 ／Local intention subject	なし
授業形態・授業方法 ／Class form, class method	The course consists of lectures based on handouts and slides, along with laboratory experiments.
科目ナンバー ／The subject number	GA-5-0201-G43
メディア授業による著作物利用の有無について ／Whether or not copyrighted works are used in media classes	無／Nothing
その他 ／Others	n.a.
対応する汎用的スキル１ ／Transferable Skill1	無
対応する汎用的スキル２ ／Transferable Skill2	有
対応する汎用的スキル３ ／Transferable Skill3	無
対応する汎用的スキル４ ／Transferable Skill4	無
対応する汎用的スキル５ ／Transferable Skill5	無

No.	回（日時） ／Time (date and time)	主題と位置付け（担当） ／Subjects and instructor's position	学習方法と内容 ／Methods and contents	備考 ／Notes
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