Chulalongkorn University


Available Courses

Human anatomy and physiology explain our body structures and functions, respectively. In other words, anatomy deals with macroscopic and microscopic structures of our organs (e.g., brain, heart, lung, intestine, etc.), while physiology describes how those organs work together. The body consists of a number of atoms and molecules to form levels of organization, i.e., organelle, cell, tissue, organ and integrated body systems. For example, the brain is a part of the neural system that controls several activities, thinking, movement, blood circulation, breathing, food digestion and absorption, etc. Both anatomy and physiology also provide foundations for physicians in diagnosis and treatment of diseases as well as for innovators or entrepreneurs in various businesses pertaining to medical device, artificial intelligence (AI)-brain interface, vaccine, stem cell, drug discovery and nutraceuticals. This course is also appropriate for students who want to build a health-tech, biomedical deep-tech or biopharma startups.

Key knowledge and understanding in food and drug technology for wellbeing including nutrition and immunization, deterioration of food, food processing and preservations, food safety, food sanitation, food service, food packaging and labelling, food law and regulations, culinary art and science, sensory science, food and drug product research and development.

Smart City course and Urban development approach. This course aims to provide students with an understanding of the trends and structures of smart city technologies and their applications in various domains, e.g. smart mobility, smart energy, smart government, smart education. This course will cover: Introduction to smart city concepts from a technology perspective, strategic and planning approaches, business opportunities, urban policy formation; Understand the technology stacks involved in smart city development and the interactive role of each stakeholder in the ecosystem; Hands-on sessions on planning and developing a practical and effective smart city development master plan; Learn the concepts of city operating systems and relevant Key Performance Indicators (KPIs) which aim to provide basic knowledge of urban growth and evolution through historical case studies, different urban development strategies to transform or shape cities, the role of transport technology and policies (including development transit-oriented), and the increasing use of smart technologies such as artificial intelligence in both architectural and urban environments, the social consequences of automation, the inextricable ties between cities and the countryside, and the extensive infrastructure required for sustainable urban development.

Many dimensions of sustainability and their relationship to economic growth, and the use of national, multinational, and international political and economic mechanisms including environmental and economic incentives to further sustainable development. The inter-relationship of global economic/financial changes, employment, and working conditions; the environment in the context of globalization, technology, trade, and employment; and the importance of networks and organizational learning are examined. Mechanisms for resolving the apparent conflicts between development, environment, and employment are explored.

This course covers theories and practices associated with economic, environmental, and social transformation for sustainability, with a particular focus on business perspectives. It offers an overview of historical/ political/ social backgrounds, key concepts and theories regarding corporate approaches to sustainability, different business examples in various related industries in order for students to achieve both an in-depth knowledge and critical understanding of sustainability with varying angles. With this knowledge and understanding, students will also have opportunities to discuss multiple issues related to the course topic through group seminars, and to analyze real-life corporate sustainability projects in different fields and industries through a case-study analysis as a group project.

This project-oriented course will consist of the specification, design, implementation, integration, and testing of an IoT and Embedded System. The topics that will be covered include Embedded Systems HW, Embedded Systems SW, interfacing, com- munications, control, design technology, and validation. It should help to motivate students to put more emphasis on educa- tion in embedded systems by integrating knowledge from many different areas. Students will work in groups of two to design, implement, and test a small Embedded System.

This course provides a comprehensive introduction to the fields of machine learning. It covers basic machine learning both supervised and unsupervised learning theory. It is aimed at advanced undergraduates and assumes no previous knowledge of machine learning concepts and knowledge. Students will learn basic algorithms and models in machine learning, such as linear regression, logistic regression, multi-class classifications, support vector machines, and neural networks, etc. The course will also cover some basic concepts and technologies in deep learning, such as algorithms of feedforward, back propagation and stochastic gradient descent (SGD), and basic architectures of deep neural networks, such as CNN, RNN, LSTM, and others. It might optionally cover very basic concepts in reinforcement learning.

Design, implementation, and evaluation of secured system; Able to differentiate between secured and unsecured system; Techniques for achieving and assessing security in computer systems such as multi-user, distributed computer system, blockchain and APIs; physical security; biometrics; information flow models; cryptography; public-key and private-key concepts; authentication; security in electronic money and bitcoins; virus and malware; firewall; secure web browsers.

In a contemporary world greatly influenced by innovative technologies, it is critical for both innovators and firms to strategically manage their intellectual assets such as corporate data, users’ data, technological know-hows, trademarks, industrial designs, inventions, and contractual agreements. The course aims to achieve a thorough study on theory and practice of intellectual property (IP) and Data Security Management. It covers key concepts, various strategies, and their strengths and weaknesses in IP and data security management. In addition, by critically reviewing a number of actual cases, students will learn practical knowledge that can be applied in real life. Lastly, through group project activities, the course offers an opportunity for students to draft and present IP management plans for products and services of their own.

Learn how to communicate with and manage partners, customers, and users in the business sector, government, NGOs, community organizations and the general public. The course will introduce you to methods like online platforms, text messaging, pop-up events, and other strategies to help get input and feedback from stakeholders. Students will also learn how psychology influences decisions about design and marketing, customer and user behavior.

Kompleks Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. Gedung D Lantai 18, Jalan Jenderal Sudirman, Pintu Satu, Senayan, Jakarta, Indonesia 10270

Partners: [email protected]
Students: [email protected]