An introduction of the development and registration of pharmaceutical products in Hong Kong and the Mainland markets. Registration of pharmaceutical products (drugs, medical devices, food supplements) is a comparatively new biotechnology‐business model, which has evolved from governmental regulations to public health through the assurance of safety and efficacy of pharmaceutical products. This course emphasizes the essential components of pharmaceutical development; discusses the key stages and decision points in the process; and gives a detailed analysis on the quality control and regulatory requirements. The technological and financial requirements of the development of pharmaceutical products are also covered. Professional training in these disciplines, lacking in Hong Kong and the Greater Bay Area, is crucial for students who plan to pursue further studies or develop their career in the biotechnology sectors.
Credit(s): 3
Prerequisite(s):LIFS 2070
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[Previous Course Code(s) LIFS 6000C]
[Background] Students are expected (i) to know calculus and basic probability and (ii) to have some experience of programming (in any language). Requirement (ii) can be satisfied by self-learning an R tutorial before the course.
Statistical analysis has become an essential component in research for testing hypothesis and designing experiments. This course is tailored to postgraduate students in Life Science. We will introduce common methodologies used in research, such as ANOVA, linear regression, nonparametric methods, and bootstrapping. The students will also gain practical skills of using R for analysis.
Credit(s): 3
Learn more: Read MoreThis course will cover the biogenesis and function of non-coding RNAs, drawn from molecular, biochemical and cell biological studies. Dysfunction of non-coding RNA in disease and the application of non-coding RNA as research tools will be discussed.
Credit(s): 4
Lecture: 2 hours per week
Tutorial, Seminar or Recitation: 2 hours per week
Laboratory or Field Study: 0 hours per week
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[Co-List with BIEN 5001]
This course will present some of the most common ethical issues encountered in biomedical research and biotechnology. Students will engage in active discussion to provide deeper understanding of each issue. The objective of this course is to raise awareness of the ethical issues around biomedical/bioengineering research, and encourage critical and responsible consideration of research conduct. Topics covered will fall into three categories: 1) Research integrity, 2) Applied ethics in biological research and biotechnology, and 3) Contemporary ethical issues arisen from emerging biotechnologies. Graded P or F.
Credit(s): 3
Lecture: 3 hours per week
Tutorial, Seminar or Recitation: 0 hours per week
Laboratory or Field Study: 0 hours per week
Exclusion(s):BIEN 5001
Prerequisite(s):Some knowledge of general biology concepts, equivalent to introductory biology at the undergraduate level
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[Previous Course Code(s): BISC 507]
[Co-List with NANO 5070]
Laboratory exercises, including recombinant DNA technology, protein purification, microscopy, tissue culture and other technologies currently in use.
Credit(s): 3
Lecture: 2 hours per week
Tutorial, Seminar or Recitation: 0 hours per week
Laboratory or Field Study: 3 hours per week
Exclusion(s):NANO 5070
Prerequisite(s):LIFS 3120
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[Previous Course Code(s): BISC 526]
Advanced topics on the biochemical basis of human diseases, molecular medicine and structure based drug design; an oral presentation and a written essay on a specific topic are required.
Credit(s): 3
Lecture: 3 hours per week
Tutorial, Seminar or Recitation: 0 hours per week
Laboratory or Field Study: 0 hours per week
Prerequisite(s):LIFS 4760 or equivalent
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[Previous Course Code(s): BISC 571]
Molecular basis of cellular regulation. Cellular signal transduction cascades.
Credit(s): 3
Lecture: 3 hours per week
Tutorial, Seminar or Recitation: 0 hours per week
Laboratory or Field Study: 0 hours per week
Exclusion(s):LIFS 6270
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This course includes selected topics of current interest in Life Science which are not covered by existing courses. Credit to be determined on case by case basis based on workload. May be repeated for credit, if different topics are covered. Enrollment may require approval of the course instructor.
Spring 2020
LIFS6000C Biostatistics: theory and application in life science research (3 credits)
Course description
Statistical analysis has become an essential component in life science research for analyzing experimental data, experimental design, and exploratory analysis. This course is tailored to an audience of graduate students and researchers working in biological sciences and more broadly disciplines working with experimental or simulated data. We will introduce some widely used methodologies in contemporary research, such as hypothesis testing, nonparametric approaches, cross-validation and bootstrapping. To ensure the correct use of these statistical tools and to be able to generalize to new scenarios, we will also discuss some of the fundamental theories behind these methods. The students will gain practical experience from homework problems including programing and use of packages.
Credit(s): 1-4
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[Previous Course Code(s): LIFS 6110, BICH 601, BIOL 611]
Advanced seminar series presented by postgraduate students on their research topics in biological sciences offered in Fall/Spring Terms. This course may be repeated for credit. Graded PP, P or F.
Credit(s): 1
Exclusion(s):OCES 6011
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