MSc in Artificial Intelligence is a self-financing programme. Perform approximation based on Taylor series. The two courses covered under the scholarship are the Master of Computing AI at NUS and the Master of Science in Artificial Intelligence at NTU. Master of Science (Artificial Intelligence) Master of Science (Asian Studies) Master of Science (Asset & Wealth Management) Master of Science (Biomedical Data Science) Master of Science (Business Analytics) Master of Science (Civil Engineering) Master of … This course introduces the basics of artificial intelligence (AI), paying special attention to the ethical issues involved. Academic Calendar For AY2020-2021 MSAI Timetable for Semester 1, AY2020-2021 (Starting from 11 August 2020) ***To take note: All online lectures will be conducted live on-line (e.g. M.Eng. Scope of project may be based on staff research interest or industrial collaboration. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU Last modified on 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. It offers an interdisciplinary overview of AI to help students start their learning journey in this field. using Webinar, Microsoft Teams or Blackboard Collaborate) during the semester. 4. Students are asked to implement their own multi-agent system and present their project outcome in the end. and Ph.D. candidates may be admitted as full-time or part-time students. The course provides a thorough introduction to cutting-edge methods in deep learning applied to NLP. This kind of environment is called a predictive ambient intelligence environment, which can be categorised as the new third generation of smart environments. 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. 1. relevant industry experience and In other words, each trimester is split into two halves. Upon completion of study, students will be conferred the degree of MSc in FinTech by NTU Singapore. Decision making and planning in these multi-agent systems are then addressed. Artificial Intelligence and Operations and Compliance. Their logical representation and philosophy within the cognitive knowledge organisation are considered. 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. A series of real-world problems and challenges will be presented throughout the course via case studies and projects. Related disciplines include but not limited to bachelor's programmes offered by the College 3. with solid mathematical training or B) a good bachelor's degree in computer science, 18-Jan-2021, Last modified on Reinforcement Learning This Master’s program is the first and only engineering program in the Netherlands in which advanced techniques and methods in the field of Data Science and Artificial Intelligence are combined. Late submissions would not be accepted and any other form of submission would not be processed. CI6235 Applied Artificial Intelligence . Applications are to be submitted electronically only. Topics in this course also include contemporary Artificial Intelligence algorithms like the popular Deep Learning. NTU offers many programmes to suit your individual requirements. Predictive ambient in… Artificial Intelligence Overcoming the challenge for POMDP planning that can scale up and handle POMDPs with very large state spaces and complex dynamics. Students will also gain experience in critically reviewing scientific literature relevant to the area. Many of your courses will be taught by internationally known researchers spanning a wide range of areas in artificial intelligence and also drawing on research in related fields such as neuroscience, cognitive science, linguistics, and mathematics. *Note: Not all courses listed in the curriculum will be offered in a semester. Natural language processing (NLP) is one of the most important fields in artificial intelligence (AI). There are a number of core NLP tasks and machine learning models behind NLP applications. Research Theme 3 –Machine: Condition-Based Maintenance (CBMx) SCALE@NTU Featured in National AI Strategy Top-Tier Publications from SCALE@NTU. 2. The main topics covered include: The Master in Design for Artificial Intelligence trains professionals to lead the design of products and services that can integrate solutions related to artificial intelligence. Data Protection and Privacy 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. Master of Public Administration - English M.Sc. Well established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving will be introduced. 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. They will also learn how to design their own machine learning and computer vision systems for various real-world problems. Artificial Intelligence (M.A.S.) Their implementations within a deep learning neural structure is discussed. This course aims to develop specific knowledge in advanced computer vision by using deep learning techniques. The Master in Computer Engineering - Cybersecurity, Data Analytics and Artificial Intelligence is a 12-month study path that provides advanced skills in the field of computer engineering and systems engineering, analyzing issues of fundamental importance for the development of the IT sector , such as artificial intelligence, cybersecurity and data analytics. Solve standard algorithmic problems in Python. 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. Handle data in Pandas, and graphics in Matplotlib. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. Focus will be on both conceptual understanding of techniques, as well as on practical implementation of these techniques using modern deep learning frameworks. Artificial Intelligence NTU_PageContent Under the Artificial Intelligence / Machine Learning programme , projects will look into intelligent design, processors, and … It will begin by introducing multi-agent systems and a number of interesting application areas, as well as explain the complexity of a definition. 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 Computing - Artificial Intelligence Specialisation. (6.5 or more) for graduates of universities in which English is not the medium of instruction. In this course, fundamentals of Artificial Intelligence and machine learning algorithms will be covered. Search maximum and minimum in multivariable functions. This course covers an introduction to multi-agent systems. 6. 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. Explore the entire course list here, organised by area of interest as well as by type of programme. It has become very crucial in the information age because most of the information is in the form of unstructured text. Fuzzy logic and fuzzy inferences are covered. Copyright • Use linear independence basis to decompose vectors. 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. Students will have a good understanding of various machine learning and computer vision technologies at the end of this course. 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. 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. This means that your Professors will continue to deliver their lessons live (from their office) during the scheduled … 7. NTU_PageContent. 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. Email : aslcang@ntu.edu.sg: 2: Programme Director: Assoc Prof Adams Kong Email: AdamsKong@ntu.edu.sg: 3: Student Wellbeing : Website : 4: One Stop @ SAC 50 Nanyang Avenue NS3-01-03, Academic Complex North Singapore 639798 Website 5 About MSc in Artificial Intelligence programme and to Apply for next intake : Website After graduation, the scholars will serve at the OCBC AI Lab for between 12 and 18 months and be involved in … For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. Disclaimer • 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. 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 . 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. A good TOEFL score (iBT = 92 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score 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. This course covers fundamental techniques to manage and process text data. 200604393R, © 2012 Nanyang Technological University 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. 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. In each topic, students are given several state-of-the-art papers in the literature to read and present. Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. Cognitive organisation of knowledge and the integration of such structures with soft computing models are also discussed. Objective:. NTU Singapore is a world-class higher education institution and ranked the top university in the world for Artificial Intelligence (Nikkei and Elsevier 2017) from 2012 to 2016. Perform standard numeric computations in Python. Based on the aim of facilitating its use by people and companies, the course is aimed at optimizing the conceptualization, design, and development of new products and services and ensuring an … Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. Tech companies like Google, Alibaba, Apple, Amazon, Facebook, Tencent, and Microsoft are now actively working on deep learning methods to improve their products. 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. Many of the complex systems are dynamic systems in which their states change over time. (Managerial Economics)- English: Wee Kim Wee School of Communication & Information M.Sc. Ageing (12) Artificial Intelligence (12) Arts Design and Media (11) Asian cultures (6) Augmented Reality (7) Bacteria (9) Biomedical Engineering (24) Biomedical Sciences (50) Brain research (8) Cancer (6) Chemistry and Chemical Engineering (7) Civil and Environmental Engineering (7) Cognitive neuroscience (6) Computer Science and Engineering (21) Cultural heritage (7) … of Engineering, Nanyang Technological University, Singapore.​. All courses are conducted at NTU (main campus)in the evenings of weekdays o… 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. It encompasses latest research findings, both applied and fundamental. AI6104 Mathematics for Artificial Intelligence. 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. 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. Computational game theory computer engineering or a related discipline with solid mathematical training and 2 years Be part of this journey! 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. Alibaba Talent Programme 2021. Upon completion of this subject, the student should be able to: Solve systems of linear equations Last modified on The School of Mechanical & Aerospace Engineering (NTU) is holding an Information Session for MSc Supply Chain and Logistics programme (AY2021 August admission - Singaporean/SPR applicants), on 16 January 2021 Saturday, (Oasia Hotel Downtown). Students of this programme are not eligible for Service Obligation. 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. Disclaimer • Students will learn how to design their own artificial neural network to solve their data analysis task. No. 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. Singtel Cognitive and Artificial Intelligence Lab for Enterprises at NTU. Reg. 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. 200604393R, © 2012 Nanyang Technological University You may check your. In environments based on ambient intelligence, it is intended to investigate prediction techniques using computational intelligence methods where the behaviours of users are predicted. AI6127: Deep Neural Networks for Natural Language Processing. When you finish your Master’s degree DS&AI you are Master of Science (MSc) in Data Science & Artificial Intelligence and you will receive a DS&AI-diploma. We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. No. 18-Jan-2021, SCSE Virtual Celebration for Class of 2020, Teaching Laboratories & Infrastructure Services, Master of Science in Artificial Intelligence (MSAI), Owing to the large number of applicants, we are unable to attend to phone or email enquiries on application status/results. The minimum and maximum periods of candidature for both full-time and part-time are available at this link . 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