M.Phil.-Ph.D. Programme : Area II: Information Systems

 

SEEM 5010 Advanced Database and Information Systems 
SEEM 5330 Speech and Language Processing
SEEM 5470 Knowledge Systems  
SEEM 5560 E-Commerce Systems
SEEM 5620 Data Warehousing for Financial Engineering
SEEM 5640 Human-Computer Spoken Language Systems 
SEEM 5680 Text Mining Models and Application


SEEM 5010 Advanced Database and Information Systems

Database and information system design and control: advanced data structures, query optimization, recovery, concurrency control, deadlock resolution and recovery. Distributed system environment. Object-oriented approach. Engineering application: requirements and proposed solutions. Current Topics.

SEEM5330 Speech and Language Processing
Human-computer interaction using speech and language processing draws from the perspectives of speech science, linguistics, modeling techniques and algorithms from engineering, as well as system implementations.  This course presents fundamentals in speech production and perception, phonetics and phonology and signal processing techniques for speech analysis.  We will then proceed to discuss the probabilistic approaches and statistical methods for speech and language processing, with particular emphasis on automatic speech recognition and text-to-speech synthesis technologies, as well as integrated spoken language systems.  The course will also cover aspects of pattern recognition that are impactful to the practice and implementation of information processing systems.

SEEM 5470 Knowledge Systems

The roles of knowledge systems in problem solving. Automation of commonsense reasoning. Non-monotonic and Plausible reasoning. Representation and reasoning about quantities, measurements, time, space, and physics. Knowledge systems to represent mind, plans and goal.

 

SEEM 5560 E-Commerce Systems

This course introduces some basic principles of information technologies/systems management, business models and strategies for e-commerce. We will cover technologies and infrastructure required to support electronic commerce, for example, open systems, client/server computing, intelligent agents, knowledge extraction and data mining, middleware and plug-ins, etc. Other important topics, such as electronic payment and internet security, will also be covered.
 

SEEM 5620 Data Warehousing for Financial Engineering

This course addresses the data and decision aspects of financial information systems. The data aspect includes collection, cleansing, storage, and retrieval of quantitative and qualitative financial data. The decision aspect include on-line analytical processing on financial data and data mining for nontrivial data pattern and knowledge.

 

SEEM 5640 Human-Computer Spoken Language Systems

Principles and theories underlying the design and implementation of human-computer spoken language systems. Component technologies including multilingual speech recognition, natural language understanding, dialog modelling, speech synthesis. Related topics including acoustic-phonetics in conversational speech. Linguistic features of spoken language, digital signal processing, pattern recognition, machine learning, statistical modelling and artificial intelligence. Software architectures that integrate the various component technologies. Examples of real applications. Students are advised to take ELE3410 before taking this course.

SEEM 5680 Text Mining Models and Application

This course covers basic mining models that are able to discover useful patterns and knowledge from text data. The form of text data ranges from semi-structured representation to free natural language texts. It discusses retrieval models as well as learning models based on user feedback. It also covers advanced models including language modelling, automatic entity extraction, and machine learning models suitable for text. Text mining applications such as knowledge management are presented.