| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who are interested in the development of solar energy technology with aspirations to study physics, engineering, or materials science.

| Introduction：

Perovskite thin-film solar cells are a new type of solar cell with advantages such as high conversion efficiency and low manufacturing costs, making them lighter, thinner, and more flexible than traditional silicon-based solar cells. The course will lead students to understand the research, development, improvement, and application of perovskite thin-film solar cell technology.

| Prospects：

Perovskite solar cells have wide-ranging applications in solar power generation, portable electronic devices, building integration, electric vehicles, and aerospace. Recognized as one of the top ten breakthroughs by the magazine "Science ", perovskite solar cells have been hailed as the most promising next-generation photovoltaic technology. Moreover, China has successively released 9 policies and documents related to perovskite from 2019, with 7 policies issued since 2022, emphasizing efforts to promote the standardization of perovskite photovoltaic cells.  

| Theoretical Part：

• The basic principles and composition of solar cells
• The characteristic structure and preparation methods of perovskite materials
• The manufacturing process and technical route of perovskite thin - film solar cells
• The advantages and disadvantages of perovskite thin - film solar cells
• Application cases and prospects of perovskite thin - film solar cells

| Practical Part:

• Solar cell prep.: Fabricate thin - film materials, conduct electrode deposition.
• Test solar cell electric props.: I - V characteristic charact. exp.
• Evaluate solar cell PEC efficiency: EQE charact. & analysis exp.
• Analyze material crystal structs.: XRD measurement demo exp.
• Observe material surface & micro structs.: SEM measurement demo exp.

 

| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who are interested in solid-state physics, semiconductor physics and devices, and nanomaterials science, and who plan to apply for related majors such as physics, electronic science and technology, or materials science in the future.

| Introduction：

The course combines systematic theory and hands - on experiments. It gives learners a solid theoretical base and practical experience, helping them understand QLEDs' basic structure, core features, and applications. It also stimulates interest in cutting - edge tech, nurtures scientific thinking, and guides future major choices. The content includes theoretical study and experimental practice.

| Prospects：

Quantum dots are 1 - 100 - nanometer semiconductor nanocrystals with strong quantum confinement. After winning the 2023 Nobel Prize, quantum dot tech has advanced fast. Colloidal quantum dots are popular for their tunable emission, narrow - band light, and high efficiency. QLEDs, based on quantum dots, have great potential due to high efficiency, low cost, and flexibility. They're widely used in lighting, display, communication, AR/VR, medical imaging, and next - gen quantum optics. For instance, in displays, quantum dot tech improves quality and color saturation. Mordor Intelligence predicts the quantum dot market will grow from $64.9 billion in 2025 to $144.8 billion in 2030, with a 17.4% CAGR.

 

| Theoretical Part：

• Basic semiconductor physics theories
• LED working principle & key performance parameters
• Quantum dot material properties & application prospects
• Insights on frontier research from front - line researchers
• Literature review on new light sources' scientific issues
• Oxford prof.'s speech on new optoelectronic devices

| Practical Part：

• Prepare films by solution & vacuum evaporation
• Test photophysics of quantum dot films
• Fabricate red quantum dot LEDs
• Measure LED electricals (I - V - L - E)
• Analyze key performance factors (fluorescence, coupling)
• Observe dot films under photo/electro - excitation

| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who are interested in machine learning and medical artificial intelligence, with aspirations to study medicine, or AI, and should have a strong background in mathematics and computer science, preferably with experience in Python programming.

| Introduction：

This course consists of three main components: lecture, experiment, and external talk. You will delve into critical topics such as machine learning and bioinformatics, satisfying your curiosity for theoretical knowledge. In the experiments, you will gain first hand experience in machine learning modelling through Python. In the external talk, you will learn about cutting-edge research directions and application areas in medical AI. For the optional experiments, instructors have prepared two directions for students: image generation and the collection and processing of physiological signals. After completing the foundational experiments, students can choose their direction based on their interests (or even try both). (*The experimental component does not require entering a laboratory for operation.)

| Prospects：

The development of AI not only impacts career types but also revolutionizes many industries, with the healthcare sector being one of the most significant examples. Take the example of the Digital Health Group at OSCAR, which has deployed a COVID-19 AI rapid triage tool based on one of the world's largest anonymous electronic medical databases. This tool has already been used in public hospitals in the UK. With the booming popularity of DeepSeek, its applications in the healthcare industry have also attracted much attention. Currently, many hospitals across the country have introduced the domestic AI large - model DeepSeek and applied it to multiple scenarios such as clinical practice, scientific research, and administrative management through local deployment. In the future, AI will be deeply involved in scenarios such as clinical decision - making support, medical record quality control, and image analysis.

| Theoretical Part：

• Basic algorithms: Principles, pros & cons, applications of linear regression, logistic regression, SVM, KNN, Naive Bayes.
• Deep - learning models: CNN, RNN, LSTM, GAN, etc.
• Bioinformatics: Intersection of biology & computer science.
• Medical AI: Risk scores in practice, AI's role in healthcare.
• Medical data: Physiological signals (ECG), vital signs, EMRs.

| Practical Part：

• Use Python to process the Iris dataset and MNIST dataset, including data import and creation of data visualizations (scatter plots, histograms), etc.
• Train machine - learning models on the Iris dataset, including data preprocessing, application of PCA, model training, and evaluation of model performance, etc.
• Students will have the opportunity to collect their own physiological signals and then complete signal processing.

| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who are interested in microbiology knowledge related to bacteria, viruses, and nucleic acid detection, environmental science.

| Introduction：

Microorganisms are ubiquitous and play crucial roles in human health, the entire biosphere, and the Earth's atmosphere. However, some pathogenic bacteria and viruses are also the main culprits behind various infectious diseases in humans. The course will introduce the principles of microbiology and related biotechnology, and describes the applications of biotechnology to human health, environmental testing, and remediation of pollution.

| Prospects：

Following the COVID-19 pandemic, there is a growing realisation that microbes are the foundation of the biosphere. They are the ancestors of all living organisms and the support system for all other life forms. The microbiological industry is a national strategic emerging industry, and a lot of plans propose to expand its industrial development, improve the quality and efficiency of development. China has formed a microbial industry system that covers microbial medicine, microbial manufacturing, microbial agriculture and other microbial technology industries. The demand and supply of microbial safety and health products in China have maintained a rapid growth trend, with great market space and potential.

| Theoretical Part：

• Basic concepts, principles and procedures of molecular cloning
• Basic principles of Raman spectroscopy
• Basic concepts and classification of molecular diagnosis (such as nucleic acid diagnosis, protein diagnosis, etc.)
• Application

| Practical Part：

• Molecular cloning experiment
• PCR amplification experiment
• Raman spectroscopy experiment
• Nucleic acid extraction, nucleic acid amplification, gene sequencing

| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who are interested in scientific exploration in biomedicine, with aspirations to study biology, medicine, or biomedical sciences.

| Introduction：

Regenerative medicine is an interdisciplinary discipline that encompasses tissue engineering and biomaterials research, as well as self-healing research. The programme will provide you with an excellent opportunity to experience and learn cutting-edge scientific research in regenerative medicine and biomedical engineering. You will experience the multidisciplinary nature of regenerative medicine and be able to work alongside leading researchers and participate in hands-on activities at the cutting edge of scientific research. The programme covers topics such as cell culture and molecular biology techniques (e.g. PCR), creating functional materials and bioreactors through 3D printing and computer-aided 3D design.

| Prospects：

In many blockbuster movies, we often see scenes where severely injured individuals rapidly heal and wounds miraculously regenerate thanks to advanced medical technology. Today, such science fiction scenarios are gradually becoming a reality. American biologist and Nobel laureate Gilbert predicts that within 50 years, humans will be able to cultivate all organs of the body. This transformation is attributed to regenerative medicine. In China, regenerative medicine has been included as a critical research area in the "13th Five-Year Plan for Health and Medical Technology Innovation", aiming to accelerate the clinical application and translation of regenerative medicine and other biological therapies, thereby enhancing China's originality in the forefront of medical research.

| Theoretical Part：

• Primer design for Polymerase Chain Reaction (PCR)
• Molecular biology (DNA/RNA, genome)
• Principles and applications of 3D printing technology
• Cell biology: Studying the basic laws of life activities at the cellular level
• Concept and applications of cold plasma

| Practical Part:

• Training on the use of pipettes and microscopes
• PCR experiments: Covering processes such as DNA isolation, amplification, gel electrophoresis and imaging
• Preparation of silk membranes using electrospinning technology
• Design and assembly of 3D bioreactors
• Cell culture experiments

| Date：

07.15-07.24 (10 Days)

| Suitable Students：

Students who plan to apply for majors in Chemistry / Material Science / Chemical Engineering in the future.

| Introduction：

This course is designed for beginners interested in chemistry, material science, or chemical engineering. It aims to help them understand and learn how modern chemical science and material science develop new materials and devices to solve problems related to green hydrogen energy. The specific course outcomes are to understand and learn the structural design and preparation methods/processes of membrane electrodes in Proton Exchange Membrane (PEM) electrolyzers, and to test and compare the performance of different membrane electrode devices.

| Prospects：

Green hydrogen is regarded as the ultimate energy source. Especially against the backdrop of challenges in addressing climate change and reducing greenhouse gas emissions, green hydrogen is receiving increasing attention. Green hydrogen relies on renewable energy sources such as wind energy, solar energy, and hydropower, and uses water electrolysis or thermolysis technology to produce hydrogen. The entire hydrogen production process does not emit carbon dioxide, achieving zero carbon emissions. The global demand for green hydrogen is also growing rapidly, reaching approximately 70 million tons in 2030. Therefore, the world is vigorously developing green hydrogen - related technologies, especially the production of green hydrogen, which is the basis, core, and difficulty of hydrogen energy technology. Currently, hydrogen energy has been applied in multiple fields such as transportation, industry, and energy, such as hydrogen - fuel - cell vehicles and hydrogen - fuel - cell buses.

| Theoretical Part：

• Thermodynamics & kinetics of water electrolysis for hydrogen production
• Construction & design of PEM electrolyzers
• Membrane electrode structure & preparation
• Catalyst synthesis in membrane electrodes: methods comparison
• Catalyst physical structure characterization: methods & principles
• Catalyst electrochemical performance testing: methods & principles

| Practical Part:

• Synthesize target catalysts via liquid - phase and sintering methods.
• Characterize catalyst structures using XRD, SEM, etc.
• Prepare coating slurries with catalysts according to ratios.
• Operate a flat - plate coater to coat catalyst slurry electrodes.
• Analyze the morphology of fabricated membrane electrodes with a high - resolution optical microscope.
• Evaluate the hydrogen - production performance of membrane electrodes.