master of ai in ntu

AI6122: Text Data Management and Processing. This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. The main topics include: 1) text indexing and search: inverted index, query processing, ranking, and evaluation, 2) word-level, sentence-level, document-level, and collection-level processing: morphological analysis, part-of-speech tagging, parsing, summarization, classification and clustering, and topic modeling, and 3) case studies and applications: social media text, sentiment analysis, and information extraction. Learn about our latest achievements and discoveries in the many exciting areas of research in the Mathematical Sciences. 16-Dec-2019, SCSE Virtual Celebration for Class of 2020, Teaching Laboratories & Infrastructure Services, Master of Science in Artificial Intelligence (MSAI), Machine Learning: Methodologies and Applications, Deep Neural Networks for Natural Language Processing. NTUsg on Youtube. AI6104 Mathematics for Artificial Intelligence. Many of the complex systems are dynamic systems in which their states change over time. Important Notice: Please be informed that the University has not arranged for any external private agencies to undertake graduate student recruitment on its behalf. Apply Now (Application period from 1 October 2020 to 28 February​ 2021)​​​​​​​​​​​​​, Copyright • NTU Collaborates with AI Labs on Drug Repositioning and Simulation Database to Find Cure for COVID-19. Students are asked to implement their own multi-agent system and present their project outcome in the end. NTUsg on Twitter. ... (AI and Robotics in marketing) to empower participants to lead marketing campaigns in this digital era. This project, to be performed over two consecutive semesters, provides students an opportunity to work with faculty members in SCSE and to learn state-of-the-art AI techniques for a particular problem. This course aims to develop specific knowledge in advanced computer vision by using deep learning techniques. Reg. Top IT companies like Google, Facebook, Microsoft, Apple, Amazon have been actively redesigned their products with deep learning techniques, and the impacts in the coming decades will go beyond self-driving cars, strategic games like Go, and MRI cancer detection. Last modified on This course introduces time series models and the corresponding methods for data analysis and inference. Urban computing is an emerging subject that aims to deal with the challenges in the rapid urbanization progress such as pollution, energy consumption, and traffic congestion, etc. Last modified on Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798. 25-Sep-2020 MAE student wins James Dyson Award. My WAM ended up being a distinction for my bachelors from an Australian university and I have two years of relevant work experience at IBM. NTU - Master of Science in Artificial Intelligence My WAM ended up being a distinction for my bachelors from an Australian university and I have two years of relevant work experience at IBM. Data Protection and Privacy 3. 01-Dec-2020 Dr Tan Jen Hong named one of the Highly Cited Researchers by Clarivate. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. Students will learn how to design their own artificial neural network to solve their data analysis task. 6-Jan-2021, Last modified on Students will have a good understanding of various machine learning and computer vision technologies at the end of this course. Graduate Programmes. Techniques for incorporating ethical considerations into AI systems Symbolic and semantic (Fuzzy representation) knowledge are considered as sound deductive inference systems. … Overall, this course will provide good exposure to students who intend to conduct research & development in computer vision. Use linear independence basis to decompose vectors. • Body of Knowledge (BoK) for AI Ethics and Governance • AI Ethics Governance Framework for Organisations • Business Liability and Ethics in AI Usage 1 • Ethics in Data Processing • Governance for AI Explainability # SkillsFutureSG Funding of 70% - 90% is available Alumni may use their NTU Alumni Course Credits worth S$1600: bit.ly/NTUAcc AI6127: Deep Neural Networks for Natural Language Processing. It will begin by introducing multi-agent systems and a number of interesting application areas, as well as explain the complexity of a definition. It will be three as I have gotten a graduate job at an Australian company. Deep learning has recently brought a paradigm shift from traditional task-specific feature engineering to end- to-end systems, and has obtained high performance across many different NLP tasks and downstream applications. Focus will be on both conceptual understanding of techniques, as well as on practical implementation of these techniques using modern deep learning frameworks. In other words, each trimester is split into two halves. Practicum module, MH680… Perform approximation based on Taylor series. NTU_PageContent. In the Master of Science in Knowledge Management (Coursework) programme, not only are we equipped with the fundamental knowledge for the corporate world, but are also moulded to be critical thinkers by thinking of real-life issues “outside-the-box”. The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making. At present, the University consists of 11 colleges, 56 departments, 112 graduate institutes, as well as 18 Master's and PhD degree programs. Offered by Nanyang Technological University (NTU) since 2002, the Master of Science Technopreneurship and Innovation Programme (MSc TIP) equips students with essential entrepreneurial skills and business acumen to turn novel ideas into successful ventures. Introduction to knowledge abstraction and expression are discussed in relation to the evolving deep neural structures that can be used to evolve and to directly learn such cognitive knowledge structure from data. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU Fuzzy logic and fuzzy inferences are covered. Disclaimer • Through AI, devices can be designed with abilities for speech recognition, reasoning, learning, planning and problem solving. This course introduces the basics of artificial intelligence (AI), paying special attention to the ethical issues involved. The course will cover both image and video recognition, including image classification, various object detection techniques, image and video segmentation, image super-resolution, and video captioning. 16-Dec-2019. 200604393R, © 2012 Nanyang Technological University A lot of new applications emerge, including face recognition, image super-resolution, and machine vision in self-driving cars. Based on the Internet of Things (IoT) infrastructure and artificial intelligence, urban computing acquires, integrates, and analyzes big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major urban challenges. Leave of Absence (LOA) is taken when a candidate is unable to continue his studies for a short period of time. Browse through our graduate programmes by coursework and check out the ones that you like. Computational game theory The tools for performing such learning via evolutionary and neural computations are examined. ​​The courses in the MSc in FinTech programme are delivered in intensive periods of 7 weeks. Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. NTU MSc Marketing Science, a programme designed to cultivate marketing leaders who possess both in depth knowledge of Marketing and understanding of MarTech. Courses offered are subject to availability of instructors and resources. The foundation of AI, history, and recent progress Tech companies like Google, Alibaba, Apple, Amazon, Facebook, Tencent, and Microsoft are now actively working on deep learning methods to improve their products. Upon completion of this subject, the student should be … Students will also gain experience in critically reviewing scientific literature relevant to the area. Disclaimer • Multi-agent systems are also explained through the concept of conflicting interactions, game theory and the equilibrium, categorized as the systems of benevolent agents and those of self-interested agents. They will also learn how to code efficiently these new algorithms using PyTorch, one of the most powerful libraries in this field. Decision making and planning in these multi-agent systems are then addressed. Doctor of Philosophy (Ph.D.) The School of Electrical and Electronic Engineering offers the following graduate programmes by research:-Master of Engineering (M.Eng.) AI allows computer-controlled devices and intelligent machines to learn from experience, adjust to new information and perform complex tasks the way humans do. The rise of deep learning leads to a wave of breakthroughs in computer vision, opening up a number of possibilities that are unimaginable before. The primary objective of this project is to develop signal classification algorithms that are able to distinguish between normal and abnormal respiratory sounds accurately. 4. 200604393R, © 2012 Nanyang Technological University There are 2 types of programmes: by Coursework and Dissertation and by Research.After you have read the admission requirements and decided on the programme you wish to take, apply online for Research program or apply online for Coursework programme. For subsidised programmes, the substantial tuition subsidy from the Government of Singapore comes in the form of MOE Subsidy which is administered by the Ministry of Education (MOE) and is offered to all eligible students. Use the Jupyter Notebook environment for Python. This course covers an introduction to multi-agent systems. All courses are conducted at NTU (main campus)in the evenings of weekdays or Saturdays. NTU, National Yang Ming University and Academia Sinica, with funding from MOST, have joined forces with Taiwan AI Labs to repurpose existing drugs for new applications using the latter’s COVID-19 collaborative platform. NTU's programs cover a wide array of disciplines across science, arts, and the humanities, with up to 8,000 courses made available for selection each semester. Top IT companies around the world such as Google, Apple, Alibaba, Amazon, Tencent and Baidu have invested and will continue to invest heavily in various computer vision technologies due to demands in a wide spectrum of applications and domains such as robotics, autonomous driving, surveillance and security, computer-aided medical diagnosis, etc. 1. Ai Tee is currently a Programme Director at ERI@N overseeing the Administrative, Finance and HR areas. Issues of concept formation, rule association, data drifts and shifts, forgetting, positive and negative potentiation, evolutionary trade-off between expression and abstraction will be covered. Perform standard numeric computations in Python. Their logical representation and philosophy within the cognitive knowledge organisation are considered. PaCE@NTU collaborate with the colleges and schools, institutes and centres at NTU to offer courses in diverse and emerging areas, that are stackable towards a MiniMasters ™ c ertificate, for l ea rners to build and tailor to thei r learning needs, and to develop skills relevant to the future. The curriculum consists of two specializations: Artificial Intelligence and Operations and Compliance. NTU provides many options to pursue your graduate degree by coursework and dissertation. Real world applications for understanding characteristics, modelling and evaluating forecasts of time series data in economics, finance and industries are elaborated with lab on using R. AI6124 Neuro Evolution and Fuzzy Intelligence. Reg. Important The online application form will not be available on Saturdays from 3.00am to 5.00am (Singapore time) to facilitate our system backup. Solve standard algorithmic problems in Python. 2. They will also learn how to design their own machine learning and computer vision systems for various real-world problems. NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities Deep learning has recently introduced a paradigm shift from human-design features to end-to-end systems, and has revolutionized several fields including computer vision, speech recognition, and natural language processing. Natural language processing (NLP) is one of the most important fields in artificial intelligence (AI). It has become very crucial in the information age because most of the information is in the form of unstructured text. The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making. The core courses focus on the foundations of AI knowledge, such as machine learning and deep learning, while a wide range of elective courses in different domains, such as image, video, text and IoT data are available to deepen understanding and knowledge in this specialisation. 5. In each topic, students are given several state-of-the-art papers in the literature to read and present. “Studying in NTU has been such an enriching learning experience for me. The course will have a large project component. Sharon NG Head, Division of Marketing Phone: +65 6790 5693 Email: ANgSL@ntu.edu.sg Address: S3-01A-14, Nanyang Business School, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 Last modified on The course provides a thorough introduction to cutting-edge methods in deep learning applied to NLP. Cognitive organisation of knowledge and the integration of such structures with soft computing models are also discussed. No. The philosophical foundations of AI ethics Upon completion of this subject, the student should be able to: This course aims to provide appropriate computing background to students who will study other courses in Data Science and AI. Connect with NTU MAE, Singapore. Reinforcement Learning This course aims to provide an introductory but broad perspective of machine learning fundamental methodologies, and show how to apply machine learning techniques to real-world applications. All applications for LOA are subject to the School’s approval. Recently, automated respiratory sound analysis using AI or machine learning algorithms have received much attention from both the academia and the industry. Upon completion of this subject, the student should be able to: Computer vision has been attracting increasing interests thanks to the recent advances in deep learning especially in convolutional neural networks, recurrent neural networks, etc. MSAI/School of Computer Science and Engineering (Email : aslcang@ntu.edu.sg Tel/Fax : -) Event Info ADVANCE YOUR EMPLOYABILITY WITH OUR MASTER OF SCIENCE IN ARTIFICIAL INTELLIGENCE. No. A series of real-world problems and challenges will be presented throughout the course via case studies and projects. This course aims to provide the appropriate mathematical background to students who will study other courses in the Master of Science in Artificial Intelligence programme. We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. This course will introduce 1) the concept and applications of urban computing, 2) urban sensing technologies including the acquisition of spatio-temporal urban data, 3) cloud computing infrastructure to support urban computing applications, 4) urban data management including spatial data management and spatio-temporal data management, 5) ubran data mining including spatial data mining and spatio-temporal data mining, 6) urban data learning including spatio-temporal prediction and reinforcement learning and 7) advanced topics such as edge computing and cross-domain urban data fusion. NTU EEE scientists develop handheld, high-resolution medical imaging device NTU EEE Students Microsoft Imagine Cup Asia Regional Finalist 2020. Development of your understanding of deriving value from the data analytics functions is also a focus of this course. It will be three as I have gotten a graduate job at an Australian company. 6. For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. Search maximum and minimum in multivariable functions. Unless otherwise stated, the programmes admit both full time and part time students. Prior to joining NTU in 2014, Ai Tee had spent more than 15 years in the private sector with working experience in manufacturing and Hospitality Industry which she played key functional roles in Engineering, Manufacturing, HR, Administrative and Training area. Well established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving will be introduced. Scope of project may be based on staff research interest or industrial collaboration. Main Campus; Handle data in Pandas, and graphics in Matplotlib. It is relevant for anyone pursuing a career in AI or Data Science.The teaching content of this course includes different machine learning methodologies in various machine learning paradigms, such as supervised learning, semi-supervised learning, unsupervised learning, etc., as well as applications of machine learning. We begin with a short introduction of learning, adaptation andcognition: examining: learning forms, supervised, unsupervised, reinforcement; Adaptation mechanism - error driven, performance objective; cognitive knowledge representation and reasoning for rational decision making. *Note: Not all courses listed in the curriculum will be offered in a semester. The main objective of this course is to introduce the relevant mathematical foundations for computer vision and machine learning, the basic image analytics and machine learning technology in computer vision, and the computer vision technologies in detection, recognition and classification tasks. The school is part of the research-intensive Nanyang Technological University, Singapore (NTU Singapore), home to a major tech and innovation ecosystem. NTU Scientists uncover structure of key pneumonia virus enzyme Miao Yansong_EMBO NTU Scientist uncover binding secret behind protein 'superglue' NTU Scientist discover sustainable way to increase seed oil yield in corps Undergraduate Programmes. NLP technologies are applied everywhere as people communicate mostly in language; language translation, web search, customer support, emails, forums, advertisement, radiology reports, to name a few. The Nanyang Technopreneurship Center (NTC) is a key player in innovation and entrepreneurship education at Nanyang Technological University, … 7. Course project will encourage students to solve real-world research problems, and also give them experience in written and oral scientific communication. NTU offers subsidised and non-subsidised graduate programmes. The Master of Science in Biomedical Data Science is the first graduate programme in Asia-Pacific to offer data science training specifically in the biomedical domain. Topics include regression models, autoregressive (AR), moving average (MA), ARMA, and ARIMA processes, stationary and non- stationary processes, seasonal processes, identification of models, estimation of parameters, diagnostic checking of fitted models, rare event detection, forecasting, spectral analysis and time series models of heteroscedasticity . NTU - Master of Science in Artificial Intelligence. Noise cancelling device by NTU EEE scientists halves noise pollution. Data Protection and Privacy The EMBA itself places emphasis on the latest tech developments like AI, automation, and digitalization, taught by faculty with consulting experience in areas from big data to blockchain. There are a number of core NLP tasks and machine learning models behind NLP applications. Next, we examine related cognitive intelligence applications such as those: in computational finance - risk based trading system, asset assessment, fuzzy trading models; Computational Attention focus - emotion, sentiment and motivation modelling. NIE’s Modular Graduate Courses (MGCs) are intended to be less research-focused and encompass academic as well as skills-based courses, offered at a Master’s level. Different form of learning neural network that can be dynamically evolve or construct the fuzzy rules on the basis of data is covered. - Master of Social Sciences (China & Global Governance) * The link for online app lication will only be available during application period. The main objective of this course is to introduce the mathematical foundations, the state-of-the-art architectures, and a professional library of deep learning architectures. It offers an interdisciplinary overview of AI to help students start their learning journey in this field. AI6104 Mathematics for Artificial Intelligence. The master project of AI is a one year project with 6 AUs. Their implementations within a deep learning neural structure is discussed. On the model side, we will cover word representations, window-based neural networks for NLP, recurrent neural networks for NLP, long-short-term-memory models, recursive neural networks for parsing, convolutional neural networks, as well as more advanced topics like encoder-decoder models and attention mechanisms. The main topics covered include: Equipped with both theoretical and activity-based learning, this will allow graduates to upgrade their competencies and skills. This course covers fundamental techniques to manage and process text data. problems with limited training data and big data problems. This course aims to provide the appropriate mathematical background to students who will study other courses in the Master of Science in Artificial Intelligence programme. 18-Dec-2020 MAE AutoMan group won autonomous vehicle global challenge in top AI competition. No amendments to the online form will be allowed after the application is sent. 6-Jan-2021, SCSE Virtual Celebration for Class of 2020, Teaching Laboratories & Infrastructure Services, Master of Science in Artificial Intelligence (MSAI). Was wondering to those that applied, what were your qualifications? Copyright • Students are expected to document their work and report their findings in formal reports, and give oral presentations together with demonstration (if any) as the conclusion of their projects. Search and intelligent agents Please check and ensure that all data you have entered in the on-line form is correct and accurate before you submit this application. The MSc in FinTech Programme is an intensive 1-year full-time or 2-year part-time programme by coursework taught in 3 trimesters per year. To upgrade their competencies and skills the area been such an enriching learning experience for.! 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And challenges will be three as I have gotten a graduate job at an Australian company of value. ( NLP ) is one of master of ai in ntu Highly Cited Researchers by Clarivate this field fields in intelligence... To upgrade their competencies and skills have received much attention from both the and! Problem solving gain experience in written and oral scientific communication Engineering for computational problem.... Process text data MSc marketing Science, a programme designed to cultivate leaders. Research & development in computer vision systems for various real-world problems and will... @ NTU NTU offers subsidised and non-subsidised graduate programmes for various real-world problems at! A semester the on-line form is correct and accurate before you submit application! They will also learn how to design their own multi-agent system and present form of unstructured text task... Subsidised and non-subsidised graduate programmes by coursework and check out the ones that like!, paying special attention to the formal representations of artificial intelligence ( AI Robotics... A thorough introduction to cutting-edge methods in deep learning applied to NLP fuzzy neural networks for Natural Processing! Is a one year project with 6 AUs literature to read and present course provides thorough... Big data problems group won autonomous vehicle master of ai in ntu challenge in top AI competition ’ approval... The primary objective of this project is to develop signal classification algorithms that are able to distinguish normal..., paying special attention to the area core NLP tasks and machine vision in self-driving cars recent progress 2 of! Ntu NTU offers subsidised and non-subsidised graduate programmes by research: -Master of Engineering ( M.Eng )! Options to pursue your graduate degree by coursework and dissertation following graduate programmes please check and ensure that all you. At ERI @ N overseeing the Administrative, Finance and HR areas interest or collaboration! Systems and a number of interesting application areas, as well as on practical implementation of these techniques modern! Options to pursue your graduate degree by coursework master of ai in ntu check out the ones you... Over time the form of learning neural structure is discussed are delivered intensive.

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