CCST9047 The Age of Big Data [Section 2A, 2015]
ECOM6013 E-commerce technologies [Section 1A, 2015]
CSIS3316 Quantum Information and Computation [Section 2A, 2015]
CSIS0402 System architecture and distributed computing [Section 2A, 2015]
CSIS0327 Computer and network security [Section 1A, 2015]
COMP9601 Theory of Computation and Algorithms Design [Section 1A, 2015]
Scope: Automata, computability and complexity 50%; online algorithms and data struc- tures for text indexing 50%
Prerequisite: undergraduate courses on algorithms and data structures.
Teaching plan:
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Models of computation; finite automata and pushdown automata; automata and lan- guages; deterministic versus nondeterministic computation
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Turing machines and random access machines; equivalence in terms of computability
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Decidability (computability); the halting problem; reduction techniques
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Computational complexity; classes of languages; time-complexity classes
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The classes P and NP; polynomial time reduction; NP-completeness
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Additional NP-complete problems; Cook-Levin theorem
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Approximation algorithms
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Space-complexity; relationship between time and space;
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Online algorithms and competitive analysis
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Paging algorithms and other online problems
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Job scheduling; deadline and flow time scheduling; resource augmentation; energy
efficient scheduling;
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Text indexing: suffix trees and suffix arrays
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Compressed indexes
COMP9301 Systems Design and Implementation [Section 2A, 2015]
COMP9101 Data Analysis and Machine Learning [Section 2A, 2015]
COMP8601 Advanced topics in theoretical computer science [Section 2A, 2015]
COMP8503 Advanced topics in visual analytics [Section 1A, 2015]
COMP8101 Advanced topics in data engineering [Section 2A, 2015]
This course will discuss and study research topics and current problems of interest in the field of data engineering.
COMP7901 Legal protection of digital property [Section 2A, 2015]
COMP7804 E-commerce security cases and technologies [Section 1A, 2015]
COMP7802 Introduction to financial computing [Section 1B, 2015]
This module introduces the students to different aspects of financial computing in the investment banking area. The topics include yield curve construction in practice, financial modelling and modern risk management practice, etc. Financial engineering is an area of growing demand. The module is a combination of financial product knowledge, financial mathematics and computational techniques. This module will be suitable for students who want to pursue a career in this fast growing area.
This is a very practical module. The module is assessed on the basis of individual assignments and a final exam.
COMP7802 Introduction to financial computing [Section 1A, 2015]
COMP7507 Visualization and visual analytics [Section 2A, 2015]
COMP7506 Smart phone apps development [Section 1B, 2015]
Smart phones are now indispensible tool for everyone. They can be used not only for traditional voice communications, but also serve as personal digital assistant, gaming console, media box, or miniature PC that perform tasks that could originally be done only on PC. The versatility of smart phones’ capabilities is actually backup by a wide range of applications (or simply apps).
Smart phones open up another dimension for software developer to develop applications that interact with their users. But since smart phones are nothing like desktop computers (e.g. substantially smaller monitor screen, touch-screen oriented, etc.), special care has to be taken in order to develop successful apps. In this course, students will learn about the design issues of smart phone apps, as well as apps development environments and programming techniques (e.g. Java for Android and Objective-C for iPhones).