Laboratory Course in Technology of Marine Bio-products1
| Numbering Code | G-AGR04 7DC46 EJ81 | Year/Term | 2022 ・ Year-round |
|---|---|---|---|
| Number of Credits | 6 | Course Type | Experiment |
| Target Year | Target Student | ||
| Language | Japanese | Day/Period | |
| Instructor name |
SUGAWARA TATSUYA (Graduate School of Agriculture Professor) MANABE YUUKI (Graduate School of Agriculture Assistant Professor) MOHRI SHINSUKE (Graduate School of Agriculture Project Assistant Professor) |
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| Outline and Purpose of the Course | Purpose of this course is to research in functional components originated from marine organisms using chemical and molecular biological techniques. | ||
| Course Goals | By mastering the basic techniques for conducting biochemical experiments and developing the ability to think logically, students will acquire problem-solving skills, which are necessary to carry out research. | ||
| Schedule and Contents |
Individual instruction will be provided to guide students through the steps involved in completing their Master’s thesis including: selecting research topics, collecting previous studies, interpreting materials, conducting experiments, analyzing data, and writing a research paper. Instruction will be optimized according to the student’s research theme. The course outline is roughly as follows: (Instructors: Tatsuya Sugahara; Yuki Manabe) Sessions 1 and 2: Choosing a research topic Sessions 3 to 25: Collecting and interpreting previous studies, examining research methods, conducting experiments, analyzing data. Sessions 26 to 30: Writing and presenting a research paper |
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| Evaluation Methods and Policy | Grading will be based on an overall assessment of the student’s commitment to experiments, the research paper, and the presentation. Refer to '2016 Guide to Degree Programs' for attainment levels of evaluation. | ||
| Course Requirements | None. | ||
| Study outside of Class (preparation and review) | Students are encouraged to read previously published studies to resolve issues and questions on how to conduct experiments and interpret data. | ||
