Master of Computing - Artificial Intelligence Specialisation. NTU_PageContent. Different form of learning neural network that can be dynamically evolve or construct the fuzzy rules on the basis of data is covered. Conditions of Admissions, please refer to the Graduate Guide, Copyright • For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. Copyright • 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. Related disciplines include but not limited to bachelor's programmes offered by the College This course covers fundamental techniques to manage and process text data. Natural language processing (NLP) is one of the most important fields in artificial intelligence (AI). Topics in this course also include contemporary Artificial Intelligence algorithms like the popular Deep Learning. Many of the complex systems are dynamic systems in which their states change over time. 4. Data Protection and Privacy Applications are to be submitted electronically only. Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. Solve standard algorithmic problems in Python. 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. 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. We examine the semantics of natural language and of … 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. 3. Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. Artificial Intelligence NTU_PageContent Under the Artificial Intelligence / Machine Learning programme , projects will look into intelligent design, processors, and … Last modified on This course aims to develop specific knowledge in advanced computer vision by using deep learning techniques. 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. 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. 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. 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 … The new emerging environment can learn from environmental changes as well as behavioural patterns of occupants. The philosophical foundations of AI ethics AI6127: Deep Neural Networks for Natural Language Processing. 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 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. NTU offers subsidised and non-subsidised graduate programmes. Master of Public Administration - English M.Sc. 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. Search maximum and minimum in multivariable functions. 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. All courses are conducted at NTU (main campus)in the evenings of weekdays o… We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. They will also learn how to code efficiently these new algorithms using PyTorch, one of the most powerful libraries in this field. 16-Dec-2019. Courses offered are subject to availability of instructors and resources. 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 . Learn more 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. 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. 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 Disclaimer • Students will be awarded the Master of Science in Artificial Intelligence after completion of study. A good TOEFL score (iBT = 92 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score (6.5 or more) for graduates of universities in which English is not the medium of instruction. 200604393R, © 2012 Nanyang Technological University 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. Late submissions would not be accepted and any other form of submission would not be processed. The tools for performing such learning via evolutionary and neural computations are examined. In order to nurture R&D talents in Artificial Intelligence and other related areas, Alibaba Group has launched the “Alibaba Talent Programme” in Singapore to support outstanding undergraduate and masters graduates to … using Webinar, Microsoft Teams or Blackboard Collaborate) during the semester. Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. M.Eng. 6. There are a number of core NLP tasks and machine learning models behind NLP applications. The courses in the MSc in FinTech programme are delivered in intensive periods of 7 weeks. 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. relevant industry experience and Their implementations within a deep learning neural structure is discussed. The rise of deep learning leads to a wave of breakthroughs in computer vision, opening up a number of possibilities that are unimaginable before. Their logical representation and philosophy within the cognitive knowledge organisation are considered. Reinforcement Learning Scope of project may be based on staff research interest or industrial collaboration. Alibaba Talent Programme 2021. Reg. 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. 2. CI6235 Applied Artificial Intelligence . In environments based on ambient intelligence, it is intended to investigate prediction techniques using computational intelligence methods where the behaviours of users are predicted. 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. (Managerial Economics)- English: Wee Kim Wee School of Communication & Information M.Sc. Upon completion of this subject, the student should be able to: Solve systems of linear equations In this course, fundamentals of Artificial Intelligence and machine learning algorithms will be covered. This course introduces the basics of artificial intelligence (AI), paying special attention to the ethical issues involved. Last modified on This MSc is taught at the UK's longest established centre for artificial intelligence, which remains one of the best in the world. 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. Perform approximation based on Taylor series. 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. In each topic, students are given several state-of-the-art papers in the literature to read and present. 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. Upon completion of study, students will be conferred the degree of MSc in FinTech by NTU Singapore. 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. This Master's programme focuses on the theoretical symbolic foundations within Artificial intelligence. It will begin by introducing multi-agent systems and a number of interesting application areas, as well as explain the complexity of a definition. Students will have a good understanding of various machine learning and computer vision technologies at the end of this course. With the expanse of machine learning and big data, artificial intelligence is leading the way into the future. Admission Requirements. 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. 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. A lot of new applications emerge, including face recognition, image super-resolution, and machine vision in self-driving cars. 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. (Knowledge Management) 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. 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. Data Protection and Privacy AI6104 Mathematics for Artificial Intelligence. AI6122: Text Data Management and Processing. A) A good honours degree in computer science, computer engineering or a related discipline 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. Disclaimer • Students of this programme are not eligible for Service Obligation. Use linear independence basis to decompose vectors. Symbolic and semantic (Fuzzy representation) knowledge are considered as sound deductive inference systems. Students are asked to implement their own multi-agent system and present their project outcome in the end. 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. Students will also gain experience in critically reviewing scientific literature relevant to the area. This kind of environment is called a predictive ambient intelligence environment, which can be categorised as the new third generation of smart environments. Singtel Cognitive and Artificial Intelligence Lab for Enterprises at NTU. Explore the entire course list here, organised by area of interest as well as by type of programme. This course introduces time series models and the corresponding methods for data analysis and inference. Focus will be on both conceptual understanding of techniques, as well as on practical implementation of these techniques using modern deep learning frameworks. 7. 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 … 232-master of arts (museum studies & curatorial practices) 01-sep-2020: 15-mar … The foundation of AI, history, and recent progress 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. 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. They will also learn how to design their own machine learning and computer vision systems for various real-world problems. No. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU Tech companies like Google, Alibaba, Apple, Amazon, Facebook, Tencent, and Microsoft are now actively working on deep learning methods to improve their products. 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. NTU_PageContent. After graduation, the scholars will serve at the OCBC AI Lab for between 12 and 18 months and be involved in … The course will have a large project component. MSAI programme is an intensive one-year full-time (or 2-year part-time) programme by coursework. *Note: Not all courses listed in the curriculum will be offered in a semester. It encompasses latest research findings, both applied and fundamental. 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. You may check your. 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. Predictive ambient in… It has become very crucial in the information age because most of the information is in the form of unstructured text. computer engineering or a related discipline with solid mathematical training and 2 years of Engineering, Nanyang Technological University, Singapore.. Search and intelligent agents This course covers an introduction to multi-agent systems. Become very crucial in the MSc in FinTech programme are not eligible for Service Obligation limited to bachelor 's offered... 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