Portal - Bachelor of Computing with Honours in Internet Technology (BCOMPHITJ) Programme

The aim of this course is to introduce a number of basic concepts concerning computing and information technology.

This course takes students to a data-centric point of view of computer systems: how computer processes data to produce useful information, how meanings are represented with data symbols, and how real world data is captured into digital form.

The course also explains how different parts of a computer can work together so that it can perform tasks defined by computer programs.

The aim of this course is to introduce the fundamental skills in web programming for developing internet applications. This course focuses on data processing with small-scale computer programs.

It provides students some ideas about data input and output, data operations, and features and structures of computer programs.

Students will also gain experience of the stages in software development, and especially software testing and debugging.

The course also gives an overview of human-computer interaction and security issues of internet application development.

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.

The aim of this course is to introduce the algorithms in various domains, and techniques for designing efficient algorithms.

It trains student the ability to analyze the time and space complexity and correctness of algorithms and skills to design solutions to problems. Topics include regular and context-free languages and finite and pushdown automata, and the Turing machine.

The aim of this course is to equip students with the fundamentals of the design of computer systems and their major components.

The course begins with a discussion of how to represent data in computer systems and then moves onto the design of a simple programmable computer system. Techniques for improving various aspects of computer system performance will be discussed in the second half of the course.

Major topics include data representation, computer system design, instruction execution model, memory, input/output system, pipelining, and instruction set design.

Advisory Pre-requisites: Students should have completed a number of foundation and middle level computing courses to have adequate background in general computing knowledge.

The aim of this course is to equip students with knowledge about the design of operating systems for the management of system resources.

Students will be allowed to study various methods and algorithms for effectively managing major computing resource types including processors, main memory, and input output devices. Major topics include structure of operating systems, process management, concurrency, synchronization and deadlock, memory management, and input/output management.

Advisory Pre-requisites: Students should have completed a number of foundation and middle level computing courses to have adequate background in general computing knowledge.

This course aims to enable students to create maintainable software in Java to meet a great variety of computing requirements.

This course covers more advanced concepts in object-oriented programming and also more advanced Java technologies for developing sophisticated applications. Through concepts such as reuse, abstraction, encapsulation, inheritance and polymorphism, students should be able to more capably handle higher problem complexity in their programming work. Students will also study how to develop applications with multithreading, networking and security support in Java.

Advisory Pre-requisites: Students should have some background in Java.

The course aims to provide students with a foundation in designing and developing Android applications. Students will study the architecture of the Android platform, design and implement basic Android applications, and apply Android APIs in mobile programming.

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

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.

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

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.

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.

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

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.

Advisory Pre-requisites: Students are expected to have completed at least two semester courses in computer programming and COMP S350F Software Engineering.

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. Students will normally handle one project individually and independently.

After the course, students should be able to explain the state-of-the-art computing and Internet applications related to his/her project, analyze problems and propose solution, implement the proposed solutions with advanced development tools and write effective project reports.

Mandatory Pre-requisites: Please be mindful that students must pass all Year 3 (non-English Language Enhancement) courses (40 credits) and obtain GPA 3.0 or above in the Year 3 courses.

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. Students will normally form a team to handle one project. Performance will be assessed both at the project level and the individual level.

After the course, students should be able to explain the current state of development in the application domain similar to his or her project area, to design, propose, implement and evaluate software system solutions. Students should also be able to collaboratively manage a software system development project and to write effective project reports.

Mandatory Pre-requisites: Please be mindful that students must (1) pass at least 20 credits of COMPS312F, COMPS313F, COMPS320F, COMPS321F, COMPS350F and/or COMPS351F, and (2) have completed at least 105 credits for Year 1 entry, 70 credits for Year 2 entry and 30 credits for Year 3 entry students respectively.

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.

This course develops in students' ability to write programs that can run on computer networks. Students will improve their productivity as network programmers by learning programming frameworks and advanced programming language features.

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

The aim of this course is to develop in students' knowledge and skills in the development of distributed systems and parallel programs. It covers major parallel programming approaches and describes how to model parallel programs with various tools. It also takes students through case studies such as web services and Hadoop.

The topics may include distributed systems concepts, Erlang programming language and its Open Telecom Platform (OTP), hot code swapping, Hadoop and MapReduce, unconventional DB, Petri nets, clock synchronization, global state detection and election algorithms.

Pre-requisites: Students are expected to have completed three semester courses or more using any programming languages. Students are recommended to have taken COMP S362F Concurrent and Network Programming though motivated individuals without S362F will still be able to handle this course.

This course aims to enable students to develop web applications based on mainly Java technologies and the three-tier architecture.

Students should be able to describe essential protocols & technologies for web applications, and apply major models and frameworks for web application development. Major topics include features and models of web applications, mark-up languages, development of web applications with Java technologies such as Java server pages, servlets, database connectivity, and frameworks for boosting productivity.

The topics may include HTTP protocol, markup languages, server-client architectures, Java web application technologies, database connectivity, and web application development with Spring framework.

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

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.

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

This course aims to develop the students' capabilities in applying programming skills to develop serious games and creative applications. The course consists of three parts.

The first part will teach students how to generate interactive and algorithmic graphics using a game engine. The second part discusses various theories and issues in designing a serious game. The third part introduces various technologies and techniques for enhancing the user experience, which includes using sensors to orient a device in physical space and to interact with game objects.

The course will enable students to design and develop serious games and creative applications with an appropriate integration of programming skills and techniques.

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.

Advisory Pre-requisites: Students should have completed most computing courses and should have a solid knowledge in Java.

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.

Advisory Pre-requisites: Students should have a solid background in computing.

This course aims to introduce the concepts and fundamental design principles of modern computer networking in a top-down approach, focusing on the Internet's architecture and protocols. The lecture begins at the application layer and working its way down toward the data link layer of the computer network reference model.

The topics may include delay and loss in packet switched networks, protocol layered architecture, application layer HTTP, transport layer TCP, UDP, network layer routing, addressing, link layer switching, multiple access protocols, MAC addresses and Ethernet.

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

This course should allow those students who have studied basic computer architecture to delve deeper into the technologies for achieving high performance computing.

This course also covers design of modern personal computer design. Topics covered include advanced CPU design, pipelining, hyper-threading, dynamic execution and advanced memory system design issues such as caching and performance. The course will also cover case studies of key CPU architectures, and advanced topics such as design of FPU, GPU, high performance I/O, and parallel computers.

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

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 S305F.

The aim of this course is to provide students with the basic principles of electronic circuits and devices for analyzing simple circuits, and the characteristics of some commonly used electronic devices.

This course aims to give a systematic overview of biomedical informatics from the engineering perspective. It starts with an overview of the different types of biomedical signals, biomedical images, and medical information. The core contents will focus on the working principles and algorithms for the digital processing, analysis, and archiving of biomedical signals, images, and data. Case studies, regulatory issues, and emerging trends will be discussed.

This course consists of two parts. In the first part, students will learn the important theories that underpin the way humans interact with computer-based systems. In the second part, students will learn how to use disciplined approaches to (a) design usable and intuitive interfaces for computer-based systems, and (b) evaluate and compare different interface design with respect to their usability and intended user/business requirements.

This course introduces students to the key concepts, theories and best practices used by user experience engineers to design usable interfaces and improve the quality of interaction with computer-based systems.

This course offers a practical training experience to help students to develop an analyst’s approach to collect and manage scientific data. The course will equip students with important data analytics tools and techniques that include statistical data analytics skills, data visualization, statistical experiments, sampling and inferential statistics, interpretation and decision making to increase credibility and reliability of problem solving.