Postgraduate Courses

On successful completion of the course, students will be able to:

• 1.
  Obtain a basic understanding of data science.
• 2.
  Identify high-throughput biomedical data.
• 3.
  Become familiar with the most popular computational methods.
• 4.
  Apply computational software to solve practical problems.
• 5.
  Enhance the ability to mathematically model scientific questions.
• 6.
  Enhance the ability in writing and presentation.

On successful completion of the course, students will be able to:

• 1.
  Describe the roles of biomaterials in advancing modern medicine.
• 2.
  Identify the methods for preparation and assessment of biomaterials.
• 3.
  Outline design principles for major applications of biomaterials.
• 4.
  Appreciate the regulatory hurdles for commercialization of biomaterials.
• 5.
  Identify the GMP principles for manufacturing biomaterials.
• 6.
  Communicate knowledge learnt from class via oral presentation and written report.

On successful completion of the course, students will be able to:

• 1.
  Describe and be familiar with biomolecular terminologies, molecules, cellular mechanisms, and networks.
• 2.
  Perform quantitative analysis in biological systems using a programming language (MATLAB, R, Python, etc.).
• 3.
  Apply modern-day machine learning tools for biomolecules (protein, virus) prediction and design.
• 4.
  Analyze and critique literature in related research areas and write professional report in the style of a journal article.
• 5.
  Apply problem solving and experimental thought processes in a wide range of settings.
• 6.
  Communicate scientific knowledge via oral presentation and written reports.

On successful completion of the course, students will be able to:

• 1.
  Explain how a biosensor work.
• 2.
  Identify the necessary components and their functions in a biosensor.
• 3.
  Describe different methods of biosignal determination.
• 4.
  Evaluate biosensors performance.
• 5.
  Identify the roles of nanomaterials in biosensors.
• 6.
  Visualize the biosensing market in diverse applications.
• 7.
  Propose biosensors for real world applications.

On successful completion of the course, students will be able to:

• 1.
  Describe the working principles of widely used bioimaging technologies.
• 2.
  Design and evaluate the imaging techniques that can acquire biological information.
• 3.
  Identify how the bioimaging technologies can address clinical needs in practice.
• 4.
  Identify the ways to process imaging data.
• 5.
  Analyze the processed imaging data and understand their associated important clinical outcomes.
• 6.
  Present professionally both in writing and orally.

On successful completion of the course, students will be able to:

• 1.
  Explain the basic technical concepts, scientific and engineering principles in synthetic biology.
• 2.
  Describe the ramifications of synthetic biology for real-world problems.
• 3.
  Analyze the impacts of synthetic biology on other research areas such as materials science, developmental biology, and regenerative medicine.
• 4.
  Identify the key elements contributing to synthetic biology.
• 5.
  Recognize, evaluate, and criticize research topics in synthetic biology.
• 6.
  Communicate technical ideas more effectively.

On successful completion of the course, students will be able to:

• 1.
  Describe the basic principles of information flow in biology, and the molecular basis of biological information.
• 2.
  Describe the working principles behind high-throughput technologies for nucleic acid sequencing.
• 3.
  Describe the working principles of biological mass spectrometry for the high-throughput identification and quantification of proteins and metabolites.
• 4.
  Discuss the benefits and challenges of various omics analysis, and evaluate the applicability of each technology to a particular biological problem.
• 5.
  Analyze and interpret data generated from omics experiments with sound statistical principles.
• 6.
  Formulate experimental strategies for leveraging omics technologies to address biological questions, and to design omics experiments with appropriate controls and quality control measures.
• 7.
  Develop an appreciation of omics technologies’ impact on life science research and clinical practice, as well as the possibilities of the future.

On successful completion of the course, students will be able to:

• 1.
  Explain key mechanisms for drug action, measurement, and administration routes.
• 2.
  Explain the SELECT criteria for commercial API synthesis and workup.
• 3.
  Classify and identify different solid forms of APIs and explain their importance for the manufacture and product quality of drugs.
• 4.
  Design and analyze pharmaceutical crystallization processes and workup steps.
• 5.
  Describe several key trends of innovation in the pharmaceutical industry.
• 6.
  Synthesize and explain the formulation of various liquid-dosage forms.
• 7.
  Synthesize and explain formulations of oral solid-dosage forms and design a process sequence for tablet manufacturing.
• 8.
  Synthesize and explain the main formulation strategies and the manufacture of controlled-release formulations.

On successful completion of the course, students will be able to:

• 1.
  Explain the basic technical concepts, scientific and engineering principles in protein engineering.
• 2.
  Describe the impacts of protein engineering on health and energy related real-world problems.
• 3.
  Analyze the influence of protein engineering on other emerging fields such as synthetic biology and genome engineering.
• 4.
  Identify the key components contributing to protein engineering.
• 5.
  Recognize research topics in protein engineering.
• 6.
  Communicate technical ideas more effectively.

On successful completion of the course, students will be able to:

• 1.
  Describe the principles of bioprocess engineering and bioenergy production.
• 2.
  Explain how microorganisms and biochemical processes can be applied for various bioproducts and bioenergy.
• 3.
  Select, compare or design a reactor, fermentation processes or bioseparations used for various products, based on cost, safety, operability, etc.
• 4.
  Evaluate the production and potential of bioenergy from economic and environmental aspects.
• 5.
  Communicate biochemical engineering concepts through the use of engineering media, verbally and in writing.

On successful completion of the course, students will be able to:

• 1.
  Explain the different medical imaging techniques and various medical image analysis tasks.
• 2.
  Obtain the fundamentals in deep learning methods with application to medical imaging and analysis.
• 3.
  Explain and apply the skills of deep learning technologies in medical image analysis tasks, including computer-aided detection, diagnosis and prognosis, etc.
• 4.
  Identify and explain the state-of-the-art deep learning approaches for medical imaging applications.
• 5.
  Gain the current research and development trends in both academia and industry in the domain of medical imaging and analysis.

On successful completion of the course, students will be able to:

• 1.
  Recognize and engage in professional discussions on pressing ethical issues in biotechnology industry.
• 2.
  Define and discuss several regulatory approval processes in pharmaceutical and biotechnology industry.
• 3.
  Recognize and explain drivers for innovation in biotechnology industry.
• 4.
  Identify career paths in pharmaceutical and biotechnology industry.
• 5.
  Develop the skills to concisely communicate the outcome of a group project in a report and presentation.

On successful completion of the course, students will be able to:

• 1.
  Describe a biological process or system using engineering intuition.
• 2.
  Apply engineering principles and conservation equations for better understanding of biological processes.
• 3.
  Acquire basic knowledge for quantitative analysis of a physical or biological process.
• 4.
  Describe a biological process or system in a quantitative way.
• 5.
  Acquire quantitative skills to make mechanistic interpretation of a biological process.
• 6.
  Delineate a biological process using engineering expressions.
• 7.
  Enhance soft skills, including communication in oral and writing.

On successful completion of the course, students will be able to:

• 1.
  Identify the most recent progress in biomolecular engineering and health informatics.

On successful completion of the course, students will be able to:

• 1.
  Acquire and process data from experiments or computations in the realm of biomolecular engineering and health informatics.
• 2.
  Develop practical skills of modern analytical, experimental, and computational techniques in biomolecular engineering and health informatics.
• 3.
  Develop the skills to concisely communicate the outcome of a research project in a report and presentation.
• 4.
  Effectively utilize academic literature and gathered knowledge to support a research project.
• 5.
  Critically reflect on observations and data to solve open-ended problems.
• 6.
  Engage in professional discussions with peers on topics in biomolecular engineering and health informatics.

On successful completion of the course, students will be able to:

• 1.
  Develop design skills by performing a conceptual design of a chemical process and/or product in biomolecular engineering and/or health informatics.
• 2.
  Acquire and process data from experiments or computations for the purpose of design.
• 3.
  Develop the skills to concisely communicate the outcome of a design project in a report and presentation.
• 4.
  Acquire practical skills and knowledge required for biomolecular process/product design or health informatics through self-learning.
• 5.
  Critically reflect on observations and data to solve open-ended design problems.
• 6.
  Communicate and cooperate effectively in a team.