Bachelor of Science with Honours in Data Science and Artificial Intelligence

This course teaches fundamental concepts in calculus and linear algebra. The course aims to provide a transition between school and university mathematics. The course also aims to develop in students understanding the concepts and techniques of differentiation, integration, vectors and matrix operations.

This course is intended to provide conceptual understandings of Probability & Distributions. Probability & Distributions has wide applications to diverse areas in statistics.

Java is one of the most popular languages in the IT professional world. The aim of this course is to provide students with sound foundation in software development using the object-oriented programming language Java.

The course will cover fundamental object-oriented programming concepts such as classes and objects, and the structure of text-based Java applications.

Students will study how to analyze problems and apply object-oriented methodology in software development.

This course aims to provide students with more knowledge in Java programming as well as an introduction to user interface design. Students will study how to design computer user interface, and develop graphical-based computer programs using the Java programming language.

Students will also study how to analyse more difficult problems and apply object-oriented methodology in development.

This is intended to be a first course in computer programming. In this course, students will study how to write computer programs in the Python language to solve simple computing problems.

Students will use fundamental programming and data containers to ease programming effort and to allow writing larger programs to solve problems. Topics include variables, operators, control structures, arrays and strings.

As a sequel to COMPS208F, the aim of this course is to facilitate students to acquire skills for writing larger programs effectively.

Students will study how program structures, software development process, data structures, and algorithms can be used to deal with larger programming tasks. Topics include modular programming, abstract data types, searching and sorting, recursion, and data structures such as linked lists, binary trees, and hash-tables.

The aim of this course is to lay the foundation of discrete mathematics of students which will be used in studying other more advanced programming courses.

Students will study the concepts of discrete mathematics, using different techniques for analysing and solving discrete mathematical problems. Topics include sets, functions, equivalence and induction.

This course aims to provide an explanation of the concepts underlying all relational databases as well as practical experience in applying the concepts in different situations.

Students should develop knowledge about the role of databases and database management systems within the context of information systems. Students should also develop skills in using the database language SQL. Major topics include database environment, database architectures, relational model and database design.

As a sequel to COMPS320F, this course aims to provide students with more advanced concepts of relational databases and more practical experience in different situations.

Students will study more advanced concepts and theories about relational databases. Major topics include Entity-Relation model, normalization, transaction management, and other advanced topics.

Advisory Pre-requisites: Students should have completed most foundation and middle level computing courses.

This course aims to introduce basic concepts and algorithms of artificial intelligence (AI) and to facilitate students to develop advanced programming skills to tackle sophisticated problems, especially using AI algorithms and techniques.

Students will be able to explain the capabilities, strengths and limitations of various AI techniques, as well as AI algorithms and their applications. Students also learn how to apply AI algorithms and programming methods to solve real world problems, and write programs to implement the devised algorithmic solutions.

he course aims to develop in learners the terminology, notations and understanding needed for effective communication with team members during software engineering activities. It also aims to equip learners with the skills to apply software engineering methods and tools in a variety of situation.

As a sequel to COMPS350F, This course aims to develop in learners the know-how of project management recognized as good practices in software development.

This course introduces some of the contemporary techniques, technologies and tools for designing, constructing and deploying flexible server-side Internet applications.

One of the main focuses of this course is to explain and demonstrate the use of cloud computing technologies. Students will learn how to design, construct and deploy scalable and cost-effective applications that are readily deployable on commercial cloud platforms.

The topic may include tools for cloud app development, essential cloud technologies such as linux & git, NoSQL, server-side scripting, server-side MVC, service-oriented architecture, RESTful web services, virtualization, cloud computing concept, service and pricing models, writing and deploying cloud apps.

Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses.

This course introduces the key concepts, techniques and tools that would allow hidden patterns of data to be uncovered. Key topics of this course include: data warehousing, the data mining process, classification, regression, clustering and association mining.

Students will learn how to apply this knowledge to solving typical data mining problems through case studies of real-world applications of data mining techniques.

The topics may include data mining and data warehousing concepts, data mining process and software, classification and regression methods, clustering algorithms, and association rule mining.

This course aims to introduce students to the field of machine learning, and develop them to apply machine learning algorithms to real-world problems. It enables students to have a broad overview of different machine learning and deep learning algorithms with a focus of applying these algorithms into real-world problems through practical activities.

This is a project course. Students will attempt a final year project which should provide an opportunity to integrate knowledge and skills acquired in the programme of study.

The course aims to provide students with a foundation in designing and developing applications for mobile devices. It enables students to understand the principle and learn skills to create and deploy mobile applications with a mobile programming platform.

This course intended for senior students. This course covers principles of computer systems and network security. This courses also discuss various attack techniques and how to defend against them. Topics include network attacks and defenses, malware and social engineering attacks, host security, application security, network security, data security, access control and authentication, and cryptography and encryption.

Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses and should have a solid knowledge in networking or have completed ELEC 3050SEF.