This course introduces the basics of artificial intelligence (AI), paying special attention to the ethical issues involved. Handle data in Pandas, and graphics in Matplotlib. The course provides a thorough introduction to cutting-edge methods in deep learning applied to NLP. Techniques for incorporating ethical considerations into AI systems
A lot of new applications emerge, including face recognition, image super-resolution, and machine vision in self-driving cars. They will also learn how to code efficiently these new algorithms using PyTorch, one of the most powerful libraries in this field. Overall, this course will provide good exposure to students who intend to conduct research & development in computer vision. Data Protection and Privacy
Cognitive organisation of knowledge and the integration of such structures with soft computing models are also discussed. 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. A series of real-world problems and challenges will be presented throughout the course via case studies and projects. Earn your master’s degree in AI at Illinois Tech. 1. using Webinar, Microsoft Teams or Blackboard Collaborate) during the semester. Their logical representation and philosophy within the cognitive knowledge organisation are considered. Upon completion of study, students will be conferred the degree of MSc in FinTech by NTU Singapore. 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. It offers an interdisciplinary overview of AI to help students start their learning journey in this field. 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. 200604393R, © 2012 Nanyang Technological University
NTU offers many programmes to suit your individual requirements. 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. Artificial Intelligence and Operations and Compliance. 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. 7. Artificial Intelligence Overcoming the challenge for POMDP planning that can scale up and handle POMDPs with very large state spaces and complex dynamics. and Ph.D. candidates may be admitted as full-time or part-time students. No. 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 … No. 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. The main topics covered include:
A good TOEFL score (iBT = 92 or more, PBT = 600 or more, CBT = 250 or more) or IELTS score
Example applications of ethical AI – AI for Social Good, AI6102 Machine Learning: Methodologies and Applications. Symbolic and semantic (Fuzzy representation) knowledge are considered as sound deductive inference systems. 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. Reg. Use linear independence basis to decompose vectors. This course covers fundamental techniques to manage and process text data. Related disciplines include but not limited to bachelor's programmes offered by the College
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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. Upon completion of this subject, the student should be able to: Solve systems of linear equations Last modified on
Programme Structure. It encompasses latest research findings, both applied and fundamental. Objective：. 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. Conditions of Admissions, please refer to the Graduate Guide, Copyright •
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) … 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. relevant industry experience and
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. Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. AI6127: Deep Neural Networks for Natural Language Processing. CI6235 Applied Artificial Intelligence . With the expanse of machine learning and big data, artificial intelligence is leading the way into the future. Search maximum and minimum in multivariable functions. Students will learn how to design their own artificial neural network to solve their data analysis task. (Knowledge Management) 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. 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 Master in Design for Artificial Intelligence trains professionals to lead the design of products and services that can integrate solutions related to artificial intelligence. Students will be awarded the Master of Science in Artificial Intelligence after completion of study. Solve standard algorithmic problems in Python. The rise of deep learning leads to a wave of breakthroughs in computer vision, opening up a number of possibilities that are unimaginable before. 232-master of arts (museum studies & curatorial practices) 01-sep-2020: 15-mar … Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. Admission Requirements. 5. This means that your Professors will continue to deliver their lessons live (from their office) during the scheduled … Search and intelligent agents
(Managerial Economics)- English: Wee Kim Wee School of Communication & Information M.Sc. 3. 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. The tools for performing such learning via evolutionary and neural computations are examined. *Note: Not all courses listed in the curriculum will be offered in a semester. Disclaimer •
Predictive ambient in… 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. In this course, fundamentals of Artificial Intelligence and machine learning algorithms will be covered. 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 The minimum and maximum periods of candidature for both full-time and part-time are available at this link . MSc in Artificial Intelligence is a self-financing programme. 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 kind of environment is called a predictive ambient intelligence environment, which can be categorised as the new third generation of smart environments. 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 … This MSc is taught at the UK's longest established centre for artificial intelligence, which remains one of the best in the world. MSAI programme is an intensive one-year full-time (or 2-year part-time) programme by coursework. Learn more Many of the complex systems are dynamic systems in which their states change over time. of Engineering, Nanyang Technological University, Singapore.. In each topic, students are given several state-of-the-art papers in the literature to read and present. Artificial Intelligence NTU_PageContent Under the Artificial Intelligence / Machine Learning programme , projects will look into intelligent design, processors, and … 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. Decision making and planning in these multi-agent systems are then addressed. Master of Public Administration - English M.Sc. 16-Dec-2019. Courses offered are subject to availability of instructors and resources. 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. NTU_PageContent. The minimum and maximum periods of candidature for full-time candidates are 12 and 30 months respectively. 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. You may check your. 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.
All courses are conducted at NTU (main campus)in the evenings of weekdays o… NTU_PageContent. Well established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving will be introduced. 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. The courses in the MSc in FinTech programme are delivered in intensive periods of 7 weeks. 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 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. Artificial Intelligence (M.A.S.) 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 introduces time series models and the corresponding methods for data analysis and inference. Students are asked to implement their own multi-agent system and present their project outcome in the end. Natural language processing (NLP) is one of the most important fields in artificial intelligence (AI). 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. They will also learn how to design their own machine learning and computer vision systems for various real-world problems. Reg. The course will have a large project component. Students will also gain experience in critically reviewing scientific literature relevant to the area. 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. Tech companies like Google, Alibaba, Apple, Amazon, Facebook, Tencent, and Microsoft are now actively working on deep learning methods to improve their products. 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. There are a number of core NLP tasks and machine learning models behind NLP applications. Singtel Cognitive and Artificial Intelligence Lab for Enterprises at NTU. We will also cover model cross validation and verification for the assessment of the quality of the constructed/evolved fuzzy neural networks. Applications are to be submitted electronically only. 4. Last modified on
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. 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. Research Theme 3 –Machine: Condition-Based Maintenance (CBMx) SCALE@NTU Featured in National AI Strategy Top-Tier Publications from SCALE@NTU.
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.
Students of this programme are not eligible for Service Obligation. 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. Edge Intelligence. 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. After graduation, the scholars will serve at the OCBC AI Lab for between 12 and 18 months and be involved in … Reinforcement Learning
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. Students will have a good understanding of various machine learning and computer vision technologies at the end of this course. Late submissions would not be accepted and any other form of submission would not be processed. For example, Google replaced their traditional statistical machine translation and speech recognition systems with systems based on deep learning. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU with solid mathematical training or B) a good bachelor's degree in computer science,
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. The master project of AI is a one year project with 6 AUs. Explore the entire course list here, organised by area of interest as well as by type of programme. Their logical representation and Philosophy within the cognitive knowledge organisation are considered sound. Attention to the formal representations of Artificial Intelligence Lab for Enterprises at NTU ( main campus ) in the of. Advanced computer vision systems for various real-world problems of Public Administration - English M.Sc of... An interdisciplinary overview of AI to help students start their learning journey this! Ai6102 machine learning models behind NLP applications start their learning journey in this.. Example applications of ethical AI – AI for Social good, AI6102 machine and... 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