The MS in Data Analytics Engineering is designed to help students acquire knowledge and skills to: Discover opportunities to improve systems, processes, and enterprises through data analytics Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources The Master's of Science degree program in Data Science is an interdisciplinary program hosted by the Department of Computer Science and the Department of Mathematical Sciences.. It situates computing-specific competencies in computer science and statistical related fields including database, data mining, machine learning, and big data within the broader interdisciplinary space Jun 21, · For example, after finishing my Ph.D. in Canada, which was mostly related to e-learning, I decided to work on the design of fundamental data mining algorithms for my post-doctoral studies and to do this in Taiwan in a data mining lab. This was a major change both in terms of research area but also in terms of country
Program & Course Catalog
Master of Philosophy in Computer Science and Engineering Doctor of Philosophy in Computer Science and Engineering. MPhil Full-time: 2 years Part-time: 4 years. Department of Computer Science and Engineering. PG Programs Coordinator: Prof Xiaojuan MA, Associate Professor of Computer Science and Engineering.
The Master of Philosophy MPhil Program seeks to strengthen students' knowledge in computer science and expose them to data mining phd thesis involved in the development, scientific, educational and commercial applications of computer systems. A candidate for an MPhil degree is expected to demonstrate knowledge in the discipline and to synthesize and create new knowledge, making a contribution to the field.
The Doctor of Philosophy PhD Program aims to develop the skills needed to identify research data mining phd thesis related to a practical application, to formulate an original research plan that addresses some of those issues, and to independently create a computing-related solution. A candidate for a PhD degree is expected to demonstrate mastery of knowledge in the chosen discipline and to synthesize and create new knowledge, making an original and substantial contribution to the discipline.
The programs are offered by the Department of Computer Science and Engineering with the following research foci and state-of-the-art facilities, training students with the skillsets to make the useful applications in modern life. Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensor-based activity recognition, multi-agent and game theory, and speech and language processing.
Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications.
Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication, affective computer, visual analytics of big data, intelligent interface for robots, e-learning, healthcare and e-commerce. Pervasive computing and sensor networks, peer-to-peer computing, grid computing, high-performance switches and routers, video delivery and multicasting, multimedia networking, MAC protocols for ad-hoc networks, web cache management, DDOS detection and defense, and resource management and allocation in optical networks.
Program Analysis and Testing, Empirical Software Engineering and Mining Software Repository, Formal Semantics and Verification, Concurrency and Parallel Programming, Compilers and Program Optimization, Foundations of Software and Type Systems, and Blockchain, Smart Contracts and Decentralized Applications.
Design and analysis of algorithms, data structures, computational geometry, inform ory, cryptography, and database theory. Computer vision, computer graphics, medical image analysis, biometric systems, and video processing. The Department has excellent facilities to support its programs and is committed to keeping its computing facilities up to date.
There are about workstations and PCs, including those in four teaching laboratories, three MS Windows Labs and one Linux lab. The Department also runs several research laboratories with specific facilities, including the computer engineering, database, Human-Computer Interaction Initiative, vision and graphics labs.
Specialized project laboratories include:. The Human Language Technology Center, with various corpora and a Linux cluster. The System and Media Laboratory, partially funded by Deutsche Telekom, focusing mobile computing and any interesting topics related to social network, virtual reality and augmented reality; and. The Networking group that maintains different sets of network cluster interconnected with high speed optical connections for Data center and cloud computing research; and.
The file servers are connected with one HDS VPS G and one HDS HUS Storage Area Network SAN system, with a total capacity of more than TB. There is also a pool of high performance servers with GPUs and interconnected with 10GbE switches dedicated for undergraduate courses on parallel computing, Big Data analysis and cloud computing. We also have a private cloud infrastructure for teaching and projects.
PhD: 19 credits. For PhD students, credits transferred from programs completed in other universities will be considered on a case-by-case basis, subject to the approval of the departmental PG Committee.
No UG courses can data mining phd thesis used for credit transfer to the PhD program. Credits from no more than two PG courses can be transferred from outside the Department. Courses used to satisfy the credit requirements must cover at least four established research areas of the Department. In addition to the program requirements, all full-time and part-time PhD students are required to complete the data mining phd thesis requirements, which aim to help students gain a wider exposure to multidisciplinary areas, and attain all-rounded learning by broadening their knowledge base.
PhD students are required to take at least a 3-credit course at level or above outside their programs offered by the School of Engineering. The 3 credits may be satisfied by courses from other Schools upon approval. Details of the requirements are available on the website of the School of Engineering.
All full-time RPg students are required to complete PDEV The course is composed of a hour training offered by the Center for Education Innovation CEIand session s of instructional delivery to be assigned by the respective departments. Upon satisfactory completion of the training conducted by CEI, MPhil students are required to give at least one minute session of instructional delivery in front of a group of students for one term.
PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed. Students are required to complete PDEV The 1 credit earned from PDEV cannot be counted toward the credit requirements, data mining phd thesis.
PhD students who are HKUST MPhil graduates and have completed PDEV or other professional development courses offered by the University before may be exempted from taking PDEVsubject to prior approval of the School.
Students are required to complete ENGG The 1 credit earned from ENGG cannot be counted toward the credit requirements. PhD students who are HKUST MPhil graduates and have completed ENGG or other professional development courses offered by the University before may be exempted from taking ENGGsubject to prior approval of the School.
Full-time RPg students are required to take an English Language Proficiency Assessment ELPA Speaking Test administered by the Center for Language Education before the start of their first term of study.
Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation.
The 1 credit earned from LANG cannot be counted toward the credit requirements, data mining phd thesis. Students are required to complete LANG Students can data mining phd thesis exempted from taking LANG with the agreement of the Department Head and PG Coordinator. Students are required to complete COMP and COMP in two terms.
PhD students are required to pass a qualifying examination within the first 22 months after admission, with a maximum of two attempts. The qualifying examination consists of a comprehensive, written critical survey and review of the student's intended research focus, and a public oral examination.
Students are also required to submit a thesis proposal and defend it at a public oral examination, normally within one year after satisfying the qualifying examination requirement, with a maximum of two attempts. The second attempt must be data mining phd thesis within six months of the first attempt. The thesis proposal requirement must be completed before attempting the final thesis defense, data mining phd thesis. In addition to the existing program requirements, students who opt for the Energy Technology concentration are required to:.
In addition to the existing program requirements, students who opt for the Scientific Computation concentration are required to:. To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission. Applicants have to fulfill English Language requirements with one of the following proficiency attainments:.
TOEFL-Revised paper-delivered test: 60 total scores for Reading, Listening and Writing sections. IELTS Academic Module : Overall score: 6. they obtained the bachelor's degree or equivalent from an institution where the medium of instruction was English. Apply online before the application deadlines.
Step 1 deadline at RGC to obtain an HKPFS reference no. Local Applicants Full-time: 15 Jul Part-time: 15 Jul Local Applicants Full-time: 15 Dec Part-time: 15 Dec More about HKUST. University News Academic Departments A-Z Life HKUST Library. Connect with Us APPLY NOW. Master of Philosophy and Doctor of Philosophy Programs in Computer Science and Engineering. Award Title. Research Foci Artificial Intelligence Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensor-based activity recognition, multi-agent and game theory, and speech and language processing.
Cybersecurity Security, privacy, data mining phd thesis, and cryptography, data mining phd thesis. Data, Knowledge and Information Management Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications.
Human-Computer Data mining phd thesis Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication, affective computer, visual analytics of big data, intelligent interface for robots, e-learning, healthcare and e-commerce. Networking and Computer Systems Pervasive computing and sensor networks, peer-to-peer computing, grid computing, high-performance switches and routers, video delivery and multicasting, multimedia networking, MAC protocols for ad-hoc networks, web cache management, DDOS detection and defense, and resource management and allocation in optical networks, data mining phd thesis.
Software Engineering and Programming Languages Program Analysis and Testing, Empirical Software Engineering and Mining Software Repository, Formal Semantics and Verification, Concurrency and Parallel Programming, Compilers and Program Optimization, Foundations of Software and Type Systems, and Blockchain, Smart Contracts and Decentralized Applications.
Theoretical Computer Science Design and analysis of algorithms, data mining phd thesis, data structures, computational geometry, inform ory, cryptography, and database theory. Vision and Graphics Computer vision, computer graphics, medical image analysis, data mining phd thesis, biometric systems, and video processing. Facilities The Department has excellent facilities to support its programs and is committed to keeping its computing facilities up to date.
LEARNING OUTCOMES. On successful completion of the MPhil program, graduates will be able to: Demonstrate a general understanding of the field of computer science, and knowledge in one of the three major areas including systems, applications and theory; Make a contribution to their specific field of study through either original research or substantial engineering efforts; Communicate effectively and professionally both in writing and oral presentations using appropriate technical languages, and interpret their research or engineering outcome both to a specialist and a general audience clearly; Follow the principles of ethics in their field and in academia; and Demonstrate a mastery of skills and knowledge at a level required for college and university undergraduate teaching in computer science and assessment of student learning.
Minimum Credit Requirement MPhil: 16 credits PhD: 19 credits Credit Transfer For PhD students, credits transferred from programs completed in other universities will be considered on a case-by-case basis, data mining phd thesis, subject data mining phd thesis the approval of the departmental PG Committee.
Required Courses MPhil: 15 credits of postgraduate courses, of which at least 8 credits must be earned at HKUST. PhD: 18 credits of postgraduate courses, of which 12 credits i. A list of PG core courses and their affiliated areas is maintained by the Department. Students must complete two of the PG core courses in the first year of their PhD study, and all four PG core courses by the end of their second year of study. Only one Data mining phd thesis Studies course may be used to satisfy the course requirements.
No undergraduate course can be used to satisfy any of these PG course requirements, data mining phd thesis. PhD students must obtain a grade B or above in each of the following UG courses or equivalent, subject to the approval of the PG Coordinator, data mining phd thesis.
Credits earned from the following UG courses cannot be counted toward the degree requirements. COMP School Requirements on PhD Programs In addition to the program requirements, all full-time and part-time PhD students are required to complete the school requirements, data mining phd thesis, which aim to help students gain a wider exposure to multidisciplinary areas, and attain all-rounded learning by broadening their knowledge base.
Professional Development Course Requirement. PDEV ENGG
Data Mining Topics for Research - PhD Research Topics in Data Mining
, time: 1:23Six important skills to become a succesful researcher | The Data Mining Blog
Custom term paper writing sites uk! Thesis data mining techniques, before dying essay lesson. Order leadership article professional critical analysis essay proofreading site uk professional dissertation chapter ghostwriting website for school? Pay for my botany thesis statement cover letter library assistant job Data, Knowledge and Information Management. Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications. Human-Computer Interaction Jun 15, · Yi-Qi Hu successfully defended phd thesis: Shen-Yi Zhao successfully defended phd thesis: Professor Chen-Ping Hou from National University of Defense Technology visited LAMDA and gava a talk: Hong Qian successfully defended phd thesis: Yao-Xiang Ding successfully defended phd thesis:
No comments:
Post a Comment