DS Course List
STAT2003 Advanced Statistics
高等统计学
This course introduces the basic probability theory and theoretical statistics (probability distributions, estimation and hypothesis test criteria, etc.) so that the students can understand the foundations of general statistical practices and are also well prepared for the advanced subjects like regression analysis, multivariate analysis, and time series forecasting.
Check DetailsGCVM1013 Applied Ethics in Science and Technology
应用伦理学（理工科技类）
This course begins with a brief introduction to ethical theories and principles focusing on some of the issues that are at once universal and timeless. Through discussion, debates, and studying particular cases (from personal stories, newspapers, magazines and films etc.), it is hoped that students will be able to reflect critically on real life issues and make their own decisions. Ethical issues in selected fields according to the students’ majors will be chosen and students will be encouraged to apply the theories they learn.
Check DetailsSTAT3033 Bayesian Statistics
贝叶斯统计
This course will present the relevant theory, methodology and computational techniques of modern Bayesian inference and modelling. The main emphasis of the course will be on how to use the Bayesian thinking, modelling and computation to analyse data with complex structure.
Check DetailsMATH1073 Calculus I
微积分 I
This course introduces the basic ideas and techniques in single variable calculus with mathematical rigour to prepare students for more advanced mathematical and statistical subjects.
Check DetailsMATH1083 Calculus II
微积分 II
This course is a continuation of Calculus I. It provides a solid foundation in multivariable calculus to prepare students for more advanced mathematics and statistical subjects.
Check DetailsSTAT4043 Categorical Data Analysis
属性数据分析
To equip students with statistical methods for analysing categorical data arisen from qualitative response variables which cannot be handled by methods dealing with quantitative response, such as regression and ANOVA. Some computing software, such as SAS, S-PLUS, R or MATLAB, will be used to implement the methods. The learning outcome will be the ability to formulate suitable statistical models for qualitative response variables and to analyse such data with computer software.
Check DetailsGCCH1013 Chinese Thought through the Ages
中国社会思潮
(1) introduce important thought that have produced extremely important and significant impact on Chinese social development from past to present; (2) make a connection with contemporary social status by selecting a number of philosophical issues such as harmony, homogeneity/heterogeneity, conflict and unity, diversity and sustainability etc.; (3) analyse how ‘the past affects the present’, and how Chinese traditional thought has influenced the development and evolvement of contemporary Chinese society; and (4) help the students to have a better understanding of Chinese thought through different historical periods and to strengthen their sense of identity.
Check DetailsCOMP4113 Computer Vision and Pattern Recognition
计算机视觉和模式识别
This course covers basic concepts in computer vision and pattern recognition. Topics include image sensing and camera perception, 2D image analysis such as filters, edge detection and Hough transform, pattern classification, physics-based vision, stereo and motion, and solid model recognition. It concludes with current trends and challenges in computer vision and pattern recognition.
Check DetailsCOMP4023 Computer and Network Security
计算机和网络安全
This course introduces the fundamental concepts and techniques in computer and network security. Topics include basic encryption techniques, cryptographic algorithms, authentication and digital signature, public key infrastructure, access control, security models, as well as their applications to, for example, IP security, Web security, and trusted operating systems. In addition, it discusses other system and programming related security issues, including non-malicious errors, computer viruses, and intrusion detection.
Check DetailsDS4013 Data Mining (For DS students)
数据挖掘
This course introduces latest development of knowledge discovery and data mining concepts and emphasizes on data mining techniques, including data pre-processing, classification, clustering, data association and data warehouse. It can motivate students to analyse big data with modern software.
Check DetailsDS2013 Data Processing Workshop I
数据处理工作坊 I
This workshop aims to lead students to learn independent design, research, and coding on database development. It will help students understand the concept of applying database to solve problems. By building web applications in groups, students will learn how to cooperate with team members, how to document, design, develop, and test web applications, and practice cutting edge software development technologies.
Check DetailsDS3003 Data Processing Workshop II
数据处理工作坊 II
This workshop aims to help students have some practices in working on big data processing. The course will also give a brief introduction of Hadoop platform and how to use Hadoop to do big data analytics. The students are expected to have a clear understanding of Hadoop and its application after this course.
Check DetailsDS3013 Data Processing Workshop III
数据处理工作坊 III
This workshop aims at machine learning with big data. In particular, different machine learning techniques in big data scenario are investigated.
Check DetailsCOMP2003 Data Structures and Algorithms
数据结构和算法
This course develops students’ knowledge of data structures and their associated algorithms. It introduces the concepts and techniques of structuring and operating on Abstract Data Types in problem solving. Common sorting, searching and graph algorithms will be discussed, and their complexity studied.
Check DetailsCOMP4053 Database System Implementation
数据库系统开发
This course provides students with an in-depth knowledge of relational database management systems (DBMS). Topics include data storage, index structures, query evaluation, transaction processing, concurrency control, and crash recovery. In addition, advanced topics such as distributed databases and data warehouses will also be covered.
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