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SCI04 8512 Bioinnovation of      10           None  This course set consists of SCI04 8502 Silver       6. Work as a team for presenting and managing the class
Silver Nanoparticles Course Set               None  Nanoparticles and Bio-applications, SCI04               presentation activity (PLO2);
                                                    8504 Synthesis of Silver Nanoparticles, and
S C I 1 8 7 0 0 2 D e e p - t e c h 3(3-0-6)  None  SCI04 8507 Special Projects in Production and       7. Explain techniques used in the experiments (PLO1);
Entrepreneurship                                    Bioinnovative Concepts of Silver Nanoparticles.     8. Write lab report and analyze experimental results

                                                    Lecture and example of entrepreneurs who use            (PLO6).
                                                    deep technology to run a successful business.
                                                    This includes businesses or social enterprises      1. Know biography of deep technology entrepreneurs and
                                                    that help people and change the way they live.          their impacts (PLO4, Understand);
                                                    This course will also study the background and
                                                    biography of these individuals from the             2. Compare and contrast various deep technolo gy
                                                    beginning and their motivations that led to             entrepreneurs (PLO5, Apply);
                                                    entrepreneurship. There will be a group
                                                    discussion on self-understanding and individual     3. Describe self-entrepreneurial goal and possibilities
                                                    entrepreneurship goals, including basic               leading to that goal (PLO5, Apply).
                                                    management.

2.2 Others                       4(4-0-8)           Principles of researcher ethics, animal research    1. Explain and use the principles of research ethics in the
                                                    ethics, human research ethics, guidelines of            given topics (PLO1, Understand);
SCI04 6601 Research Methods                         research relating native and wild plants,
and Statistics in Biology                           guidelines of biosafety, chemical uses, and         2. Explain research working according to animal research
                                                                                                            ethics, human research ethics, guidelines of research
                                                    research-working safety, research process,
                                                    appropriated selection of statistics for research       relating native and wild plants, guidelines of biosafety,
                                                    data analysis including descriptive,                    chemical uses, and research-working safety, research
                                                    interferential, and non-parametric statistics with      process (PLO1, Understand);
                                                                                                        3. Explain the uses of research data to publish in
                                                    the contents involving measures of central
                                                    tendency, distribution, probability, survey and         conference and journal, database, impact factor, and
                                                    sampling technique, experimental design,                writing without plagiarism (PLO1, Understand);
                                                    sample size determination, power of a test,         4. Apply knowledge from the contents to solve given
                                                                                                            questions and analyze research data by statistics,
                                                    hypothesis test, means comparison between 2
                                                    groups, means comparison more than 2 groups,            covering measures of central tendency, distribution,
                                                    correlation and linear regression, chi-square,          probability, survey and sampling technique,
                                                    computer programs for bio-statistical analysis,         experimental design, sample size determination, power
                                                                                                            of the test, hypothesis test, means comparison between
                                                    research publication in conference and journal,
                                                                                                            2 groups, means comparison more than 2 groups,

M.Sc. (Biology)
Update June 1, 2023
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