NUS Summer School

4001-699-686

Subjects


Data Analytics and Mathematical Statistics
Biomedicine
AI and Machine Learning
Economics
Psychology

 National University of Singapore  

National University of Singapore

The National University of Singapore (NUS) is a leading global university centred in Asia. NUS is well known for its research strengths in Mathematics, Economics, Life Sciences and Biomedicine, Social Sciences and Natural Sciences. NUS ranked Asia's top university and 8th in the world in the 2024 QS World University Rankings. Notable subject-specific rankings include 6th in the world for Computer Science and Information Systems, 11th for Data Science, and 3rd in Asia for Life Sciences and Medicine. Furthermore, NUS is positioned 1st in Asia for both Economics and Econometrics, as well as Psychology, according to QS.

School of Continuing and Lifelong Education

The National University of Singapore's School of Continuing and Lifelong Education (SCALE) was established in June 2016. It has curated a series of academic programs for outstanding global youth, aiming to expand knowledge, enhance innovative potential, instill a sense of global responsibility, and comprehensively cultivate 21st-century competencies. Through the innovative culture, outstanding academic influence, and global responsibility of the National University of Singapore, SCALE seeks to empower students in navigating the digital age and developing essential skills for the 21st century.

The Faculty of Arts and Social Sciences

The Faculty of Arts and Social Sciences (FASS) at the National University of Singapore (NUS) was established in 1929 and is one of the largest faculties at NUS. FASS focuses on in-depth research in the fields of Asian Studies, Humanities, Social Sciences and Languages. The faculty is committed to exploring cutting-edge disciplines in the humanities and social sciences, continually expanding the boundaries of knowledge. In 2013, FASS launched the FASStrack Asia: The Summer School, dedicated to providing high-quality academic courses for outstanding young talents worldwide. The programme aims to enhance participants' competitiveness and offers a variety of thematic courses taught by esteemed faculty.

  Why Us? 

2024年暑假,阿思丹(ASDAN China)与新加坡国立大学持续与终身教育学院、文学暨社会科学院携手开放线下项目,同期开放数据分析、生物医学、人工智能与物联网、纳米物理、经济学、心理学六大主题学科,涵盖文理不同领域。阿思丹学员将亲自前往新加坡国立大学,在专业教师团队的领导下感受深度实践式学习模式,深入研讨学科尖端课题,拓展学术眼界,激发专业研究兴趣。

NUS Immersive Learning Experience

Certificate of Competence

Project-based Learning

Visits to Prominent Enterprises and Cultural Exploration

  Teaching Faculty  

*The final instructor will be decided by NUS Summer School

  Course Content 

In this age of ubiquitous data, how do we make sense of all this readily accessible but often overwhelming quantitative information that we encounter every day? To systematically extract insights from data? To"reason" with data? We can think of quantitative reasoning as applying a certain set of logic that allows us to work with data. The insights developed through such an application can help us to answer questions that we are invested in, to support or invalidate preconceived hypotheses, and provide evidence to advance our arguments. Through this journey of reasoning quantitatively, we will illuminate how we can both be critical consumers, as well as actively engage with, this precious resource that is data.

Reference Teaching Themes
● How to reason with data
● Cleaning and exploring our data
● Using our sample and assessing the findings
● Investigating trends and relationships
● Reviewing our quantitative analyses
* The above are teaching themes from previous years' NUS programmes, provided for reference.
Biomedical science is currently one of the most sought-after professions, and epidemiology plays a crucial role in global health, public health policies, and medical research, aiding humanity in better understanding and addressing the challenges posed by various diseases. This course will guide students to explore multiple topics, including cell molecular biology, bioinformatics, experimental principles, and mathematical modeling in epidemiology. They will gain insights into how viruses enter hosts and interact with host cells, the pathways of infectious disease transmission, host characteristics, and environmental factors, thereby enhancing their understanding of the current phase of epidemiology.
Reference Teaching Themes
● The foundation knowledge of cell and molecular biology
● Virus Action Research
● Mathematical Modelling of Epidemics Workshop
● Bioinformatics
● Science demonstrations
* The above are teaching themes from previous years' NUS programmes, provided for reference.
In this course, students will gain insights into the latest technologies in the field of artificial intelligence and machine learning. They will grasp the fundamental principles of artificial intelligence and machine learning, along with their practical applications in various modern businesses. Students will understand how machine learning can be employed to enhance operational performance and efficiency in business. Mentors will guide students in becoming familiar with the Orange interface (an open-source data visualization and machine learning modeling tool) and understanding the entire process from data import and preprocessing to model training and evaluation.
Reference Teaching Themes
● Introduction to AI
● AI Applications: State of the art
● Machine learning and Deep learning
● How to install and use Orange
● Clustering, Function Estimation, Classification and KNN
* The above are teaching themes from previous years' NUS programmes, provided for reference.
Students will study specialised courses in microeconomics, macroeconomics, and economic theory, gaining insights into the pivotal role of the social market system in balancing the continually growing demand with limited resources. By analysing real-world cases and current economic policies, students will delve deeper into the behaviours of individuals, decision-makers, and businesses within the economic framework. They will understand the overall impact of economic policies on society, and acquire knowledge about the trends in societal behaviours, resource allocation, and the development of market systems.
Reference Teaching Themes
● Economic Policies
● Microeconomics
● Macroeconomics
● Economic Theory
● The Impact of Economic Decision-Making
● Economic Choices in a Globalized Context
* The above are teaching themes from previous years' NUS programmes, provided for reference.
Psychology is a discipline that studies human thought, emotions, and behaviour. In this course, students will explore the crucial role of cognitive processes in human behaviour, emotions, and interpersonal relationships. Through the method of dichotomous comparisons, students will differentiate fundamental concepts such as nature versus nurture, automaticity versus control, gaining an understanding of the impact of psychology on human perception, behaviour, and decision-making. Students will attempt to analyse the underlying reasons behind human behaviour using the knowledge acquired, stepping beyond.
Reference Teaching Themes
● Psychological Analysis
● Classic Theories in Psychology
● Scientific Research in the Field of Psychology
● Modern Impact of Technology on Psychology
● Truth Behind Human Thought and Behavior
● Influence of Social Networks
* The above are teaching themes from previous years' NUS programmes, provided for reference.

 Sample Schedule  

* The specific schedule may be subjected to slight adjustments based on actual circumstances.

  Outcomes  

*The images shows the offcial participation certificate and assessment report sample of the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore.

*The images shows the official participation certificate and evaluation report sample of the Faculty of Arts and Social Sciences (FASS) at the National University of Singapore.

  Application 

School of Continuing and Lifelong Education (SCALE)

Subjects: Data Analytics and Mathematical Statistics, Biomedicine, AI and Machine Learning
Quota: 40 students per subject
Date: July 28 - August 3, 2024 (7 days)

Faculty of Arts and Social Sciences (FASS)

Subjects: Economics, Psychology
Quota: 30 students per subject
Date: June 30 - July 6, 2024 (7 days)

Requirements

  • English language level equivalent to IELTS level 6.0 or TOEFL 80
  • Recommendation letter from your teacher as proof of English proficiency, or a phone interview with an ASDAN staff member
  • Priority for awarded students from ASDAN STEM assessment

Fee

  • Includes: tuition, course materials, accommodation, breakfast, excursions fees; ASDAN group leader service fee; local transportation fees; international insurance.
  • Excludes: international transportation costs to and from Singapore (departure and arrival from Beijing/Shanghai/Shenzhen/Hong Kong, you can use a third-party service or ASDAN China's unified service); lunch and dinner.

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