National Taiwan University
Public University • TW
Showing 5 courses from NTU
Machine Learning Foundations - National Taiwan University
National Taiwan University (via Coursera)
Machine Learning Foundations - National Taiwan University is a comprehensive advanced-level resource offered by National Taiwan University, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Build supervised and unsupervised ML models with scikit-learn Master regression, classification, and clustering algorithms Evaluate models using cross-validation and proper metrics Deploy ML models to production Duration: Estimated duration: 20 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. This is an advanced resource meant for learners who already have solid fundamentals. You should have at least 6 months of hands-on experience or have completed intermediate-level courses in this area. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. National Taiwan University is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Beauty, Form & Function: An Exploration of Symmetry
Nanyang Technological University, Singapore (via Coursera)
Symmetry is everywhere. In the grand scheme of things it is the blueprint by which the universe operates. We see symmetry in nature, art, architecture, science and engineering. This course explores the Beauty, Form and Function of Symmetry in common objects, then progresses to investigate tiling and tessellation, with the extension of these concepts to the atomic structure of crystals. To amplify these ideas, you will undertake field-exercises and be introduced to specialists – botanists, artists, geomancers, historians, scientists and engineers - that work with symmetry, and who will provide their personal insights into its ‘magic’ and impact on their disciplines.
Motivating Gen Z Learners: What Parents and Teachers Need to Know
Nanyang Technological University, Singapore (via Coursera)
The purpose of this course is to equip parents and educators with the knowledge of motivational theories and their application in real-life contexts. Following the storyline of two children, Bob and Sarah, course participants are presented with a variety of problem scenarios. These depict common motivational issues that the participants can resolve using the motivational principles described in the course. Through the various sessions, parents and educators will progressively build a repertoire of strategies that enable them to better understand the Gen Z learners and to enhance their motivation to learn. Course participants will also have the opportunity to check their own understanding through quizzes and to interact with one another through discussion forums. This course was created with the National Institute of Education at Nanyang Technological University, Singapore. About National Institute of Education (NIE) As an autonomous institute of the Nanyang Technological University, the National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute and plays a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. Its university-based teacher education programmes leverage the strong partnerships with the Ministry of Education and Singapore schools to develop teachers who are grounded in theory and strong in practice. As an institute within a world-class research university, NIE also offers rigorous graduate education in the form of masters and doctoral programmes for local and international students.
Introduction to Forensic Science
Nanyang Technological University, Singapore (via Coursera)
We have all seen forensic scientists in TV shows, but how do they really work? What is the science behind their work? The course aims to explain the scientific principles and techniques behind the work of forensic scientists and will be illustrated with numerous case studies from Singapore and around the world. Some questions which we will attempt to address include: How did forensics come about? What is the role of forensics in police work? Can these methods be used in non-criminal areas? Blood. What is it? How can traces of blood be found and used in evidence? Is DNA chemistry really so powerful? What happens (biologically and chemically) if someone tries to poison me? What happens if I try to poison myself? How can we tell how long someone has been dead? What if they have been dead for a really long time? Can a little piece of a carpet fluff, or a single hair, convict someone? Was Emperor Napoleon murdered by the perfidious British, or killed by his wallpaper? *For Nanyang Technological University (NTU) students, please be noted that this course will no longer be eligible for credit transfer.
Introduction to Complexity Science
Nanyang Technological University, Singapore (via Coursera)
This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common. In the past several decades, the study of complexity science has been increasing. It is widely acknowledged that an innovative, integrated and analytical way of thinking is essential for understanding the complex issues in the human societies. In this course, we will aim to give everyone a comprehensive introduction of the complex systems, to talk about the resilience, robustness and sustainability of the systems and to learn basic mathematical methods for complex system analysis, for example regime shifts and tipping points, the agent-based modelling, the dynamic and network theories. Most importantly, we will implement the theories into practical applications of cities and health to help students gain practice in complex systems way of thinking. This course is co-developed by Associate Professor Cheong Siew Ann, Professor Stephen Lansing and Professor Peter Sloot between 2014 and 2020 at the Complexity Institute, Nanyang Technological University, Singapore.