理學碩士學位（數據科學）— 人工智能應用專業專業

與FST合作

所有課程均為必修課程：

CISC7298 Project Report

（必修）6學分

An independent project under the supervision of a faculty staff member. A Project Report focuses on combining existing academic theories or advanced technologies with an evaluation of a case study or industrial project. The goal of this Project Report is to facilitate the integration of practice with academic research.

從以下課程中選擇 4 門必修選修課：

CISC7013 人工智能原理

3 學分

Overview of Artificial Intelligence Application Areas, Languages and Programming Techniques for Artificial Intelligence, Problem Solving, Knowledge-based Systems, Knowledge Representation, Planning, Machine Learning, Natural Language Processing, Genetic Algorithms. Read More

CISC7018 計算機視覺和模式識別

3 學分

This course introduces the fundamentals and advanced topics of computer vision and pattern recognition for postgraduate students. It emphasizes both theory and applications of pattern recognition. Topics include overviews of general computer vision and pattern recognition techniques, statistical decision theory, linear discriminant functions, multiplayer neural and deep networks, supervised learning, unsupervised learning and clustering, and applications of computer vision and pattern recognition. Read More

CISC7021 應用自然語言處理

3 學分

This course covers both the fundamental and advanced topics in Natural Language Processing (NLP), which deals with the application of computational models to text data. In this course, the core tasks in natural language processing will be examined, including minimum edit distance, language modelling, Naive Bayes, Maximum Entropy, text classification, sequence labelling, POS tagging, syntax parsing and computational lexical semantics. Modern NLP applications will be explored such as information retrieval, and statistical machine translation. Students will learn how to formulate and investigate research questions on related topics. Read More

CISC7019 萬維網數據挖掘

3 學分

The course will cover the fundamental concepts, principles and algorithms in the area of Web Mining. It will firstly give an introduction to the concepts of the traditional information retrieval systems and the principles of web search engines, then, the course will extensively discuss techniques and algorithms of web mining, including Link-Base analysis, web page classifications, web advertisement, recommendation algorithms, web information extractions, web image indexing. The course also requires each student to complete a related course project. Read More

CISC7022 大數據處理與分析

3 學分

This course introduces the latest development of data engineering techniques, including data query processing (e.g., multi-dimensional data, sequence data, and spatial-temporal data) in cloud computing and HPC environments. Students will learn study and learn how to formulate and investigate the state-of-the-art problems and solutions on related topics. Read More

CISC7026 深度學習導論

3 學分

This is an introductory course on Deep Learning methods with applications to computer vision, natural language processing, biology, financial data, and more. Students will learn foundational knowledge of deep learning algorithms and get practical experience in building neural networks in modern deep learning frameworks. Experience in Python is helpful but not compulsory. We assume students having background in calculus (i.e., taking derivatives) and linear algebra (i.e., matrix multiplication).