This module provides students with the fundamentals of database, which is the essence of all information systems.

This module is designed to introduce students to the principles of effective English communication and preparation for the TOEFL or IELTS test, and to enable them to study effectively.

This module aims to provide an basic understanding of software solutions: their analysis, design, development and implementation including appropriate methodologies and skills in the use of an event driven language for open source development (Java). This module focuses on Object Oriented Programming using Java, implementing designs which have been developed using UML to show the direct link between UML and OOP.

Accounting is one of the most essential tools to be used for business model setting, performance measurement, budgeting & planning in any business including non-profits. To understand the basic concept of accounting through this lecture would help you sometime in the future when you are working in a business enterprise to understand 1) how business activities in the enterprise are translated into the financial numbers 2) how to make important business decisions such as long-term resource commitment by utilizing the basic accounting and finance concepts. The module aims to provide foundations to understand basic accounting concepts/principles so that students will be able to read and write financial statements and grasp the idea of basic financial management.

This module aims to provide the student with an introduction to economic decision making. This covers the basics of economic analysis from an engineering perspective, dealing with the principles and methods for analyzing the economic feasibility of alternatives and for making selection decisions among them. The student will learn how to perform economic evaluation and develop cost models for problem solving. Concepts in this class are equally applicable to engineering, business and financial systems problems. Assessment is through a final examination, plus a midterm exam given during the semester.

This module aims to provide the student with the basic concepts of statistics. The student will learn about the sample statistics, various sample distributions and their applications. This module will enable the students to perform statistical analysis of the data obtained in a manufacturing system. Assessment is through a final examination, homework assignments and 1 quiz test about the usage of R software.

This module provides the student with the knowledge on data structures and the basic algorithms that use the data structures and ability to decide one of them for a given problem. Every data structure and algorithm explained in this module will be based on an object oriented concept. The module will also cover advanced object oriented concepts such as the exception handling and generics.

This module is designed to develop those skills identified by employers as being necessary for effective communication and performance at work. It will help you plan your career, create successful job applications and enhance your interpersonal skills. This module is also designed to develop study skills for the TOEFL or IELTS tests.

The module is designed to introduce students to the components of Information Communication Technology (ICT) and the need to study business information systems, understand the concept of a system and identify the importance of a systematic approach to the study of information systems. In addition, there will be coverage of the different types of general information systems that exist in the business organization, introduction to the concept of a systems development framework and associated issues and recognition of the importance of people in the development process. Emphasis will also be placed on how businesses can use ICT to meet their business needs.

This module is an introduction to concepts underlying all computer systems. More specifically, this module provides a programmer's view of how computer systems execute application programs, store information, and communicate with each other. This module also serves as a foundation for modules on operating systems, computer architectures, compilers, programming languages, computer networks, and embedded systems, where a deeper understanding of systems-level issues is required. Topics covered include data representations, assembly languages, processor architectures, the memory hierarchy, operating systems, compilers, linkers and loaders, and high-level application programming interfaces.

The purpose of this module is to provide a comprehensive treatment of commonly used and more recently applied methodologies for technology investment decision making. The module introduces students to an in-depth treatment of a wide-variety of decision making methodologies focused on the subject of investing in IT. Delivery is primarily via a mixture of lectures and project presentations, and assessment is in the form a 120 minutes examination.

This module aims to provide students with the mathematical topics interested in IT fields to understand several systems, processes and algorithms. To achieve this goal, this course introduces the fundamental concepts in linear algebra because linear algebra is a basic for the most mathematical analysis and various applications in IT. This module covers systems of linear equations, matrices, vector spaces, basis, rank, linear transformation, inner product, etc. and presents application areas of linear algebra related with IT. Finally, this module provides a tutorial to apply linear algebra to real problems using a programming language.

In this module, students will conduct laboratory works and application development with database design and implementation, and build essential parts for an operating system. Students will improve their skills in applying what they have learned in ITM411, and extend their understanding in data and system architectures in IT systems. Students will also have an opportunity in developing web applications utilizing DBMS.

The goal of this course is to provide an introduction to the internal operation of modern operating systems. In particular, the course will cover processes and threads, mutual exclusion, CPU scheduling, deadlock, memory management, and file systems.

The module aims to provide students with an understanding of the role and internal operation of computer networks. It introduces basic concepts and technologies, with specific reference to the Internet, in order to give students an understanding of the demands placed upon computer networks, and the technology required for them to successfully support current and emerging applications.

This module briefly covers the financial system and reviews the structure and uses of corporate financial statements. Then, three analytical “pillars” of finance- optimization over time, asset valuation, and risk management- are discussed. Its focus is on principles rather than institutional structures, although some discussion of institutions is given. The module will be delivered via a combination of lectures and directed and independent learning. Assessment consists of quizzes and a final examination. The student will receive formative feedback throughout the lectures.

Technology innovation management is a rapidly emerging area as technological innovation has been at the core of sustainable competitive advantage for firms. The module provides an overview of technological innovation management with an emphasis on the integrative relationship of technology development with strategic planning, marketing, finance, engineering and operations over the entire life cycle of technology. Through a combination of lectures, case studies, and a term-project, this module will examine not only the fundamentals of managing innovation and technological dynamics, but also the formulation and implementation innovation strategies within an organization. Assessment will be made based on case presentations, term-project outputs, and final exam.

This module aims to provide students with the theoretical and practical knowledge and skills to collect, modify, and analyse a large amount of data from various sources. Topics covered in this module include basic unsupervised/supervised learning algorithms, novelty detection algorithms, custering methods, and association rules such as k-nearest neighbour, Naïve Bayesian classifier, decision tree, and support vector machines, clustering algorithms including K-Means and hierarchical clustering, and A-priori rules. This module comprises lectures and programming exercises with Python language to develop the practical skills of data mining. The students are assessed by one quiz in the middle of the semester, the final-exam at the end of the semester, and a set of (2~4) Python programming assignments during the course.

Software engineering is one of modules for Level 5. The objective of this module is to introduce students to the methodologies involved in the development and maintenance of software over its entire life cycle. This module includes several life cycle models, requirement dictation process, analysis modelling and specification, architectural design methods, implementation and testing strategies, verification and validation techniques, and project planning and management.

This module introduces a process-oriented view of the flows of materials, information, products and services through and across organizational functions. All organizations must carefully analyze and document their business processes and must continuously assess the efficiency and effectiveness of these processes to minimize cost and maximize value creation.

This module introduces the programming technologies and design approaches for mobile computing systems. Students study relevant applications to understand them better. This module gives students a chance to construct their own application on a widely-used mobile platform.

This module focuses the study of concepts relating to management science in various informations applied service & operations organizations. The management science is simply a scientific approach to decision making that seeks to best design and operate a system, usually under conditions requiring the allocation of scarce resources. Quantitative methods of analysis used to support decision making in the various operations management activities will be employed to relate theory to practice. Students can obtain broad knowledge of mathematical and probability models. And they are given several problems, which are carefully chosen to practice management science techniques.

Enterprise Resource Planning (ERP) software programs are at the cutting edge of information systems technology. ERP systems help to manage company-wide business processes, using a common database and shared management reporting tools. Student will learn how ERP systems support the efficient operation of business processes by integrating business activities, including sales, marketing, manufacturing, accounting, and staffing. The module will be delivered via a combination of lectures and directed and independent learning. Assessment consists of quizzes and a final examination. The student will receive formative feedback throughout the lectures.

This module aims to provide students with technologies, applications, practices, and skills for continuous iterative exploration and investigation of past business performance along with external data generated from diverse sources such as web and social network service (SNS) to gain insights and drive business planning. Topics covered in this module include statistical and quantitative analysis, explanatory and predictive modelling. While several data mining algorithms including basic unsupervised/supervised learning algorithms are especially empathized in ITM 516 Data Mining module, this module covers the whole process of data mining consisting of data collection, prepressing, modelling and analysis. This module comprises lectures and programming exercises to implement business analytics techniques. The students are assessed by mid-term exam in the middle of the semester, the final-exam at the end of the semester, and a set of (2~4) programming assignments during the course and the term project.

This module focuses on computer security and computer viruses. Both technical and social issues are covered. The students will receive theoretical and practical teaching on computer security related issues.

This module is designed to provide an opportunity for the expression of individual creativity and ability in completing a significant item of work related to the aims and objectives of the Information Technology Management program. Topics for projects may be suggested by students themselves and perhaps may derive from industrial placement experience. However, academic staff will also suggest suitable topics to the students. The student will be provided with a supervisor for their project. This person will provide guidance during the project period on the progress of the work, the direction of the study and the quality of work to be carried out. During the project the student will submit several pieces of work which contribute to the module. During the first half of the first semester students will produce a Terms of Reference document, with advice and support from their supervisor, and will discuss drafts of the Terms of Reference with the supervisor before submitting the final version. (For part-time students the timing may be adjusted if required by the student's study plan.) During the remainder of the semester the student should work on the problem analysis and on the specification of requirements for the product. During this period the supervisor will review the student's work. Students are expected to develop their own reading list that is specific to their chosen project. Students will be required to demonstrate at an early stage that literature is available in the area of the chosen project, that they have assessed seminal articles/texts and that all necessary hardware and software will be available for the duration of the project.

This module provides the student with the knowledge on algorithms and ability to decide the algorithm for a given problem. The module also help student to analyse the efficiency of a given algorithm.

This module is essentially a practical, hands-on application of business principles. It aims to introduce students to consulting methodology and to put students into the real world situation of solving problems for business. There are some simulated consultancy exercises. At the end of the module, each group of students will be expected to present their term project in report format and to give a formal presentation.

This module gives students in-depth knowledge in major concepts and theories to the high-tech marketing practice. Topics can be categorized into three parts: basic marketing principles (marketing processes and planning, market segmentation, marketing mix), high-tech marketing principles (technology-intensive business, chasm theory, and marketing analytics (using R software).

The aim of this module is to use the placement experience to develop and enhance, as much as possible, relevant areas of IT Management. The aims are general because of the wide range of placement opportunities offered by our program's partners and other companies/research centres/universities. This module is designed to promote personal development and a range of interpersonal, intellectual and practical (functional) skills based around and demonstrated through a significant individually negotiated professional placement. It seeks to raise the learner’s awareness of the workplace as a learning environment and extend their capability and enhance their individual effectiveness, employability and business competitiveness. It will seek to develop professional skills in the chosen subject area within the working environment. Students will learn to manage their own placement development by, for example, managing tasks, working with and relating to others, applying knowledge, and applying initiative in work problems. Learners will be expected to reflect on the learning derived from the professional placement.

This module is a follow-up module to Capstone Design I. The module is designed to provide an opportunity for the implementation of Capstone Design I. The practical work for the project designed in Capstone Design I will be carried out during this module in the second semester. During this period the student is expected to produce both the project product and a final report. The report and the product documentation, etc. will be submitted in week 15. On completion of the project, the student will submit a project report which incorporates the earlier analysis report (or a revision of

This course explores the key issues associated with the design and management of Supply Chains. Supply Chain Management (SCM) is concerned with the efficient integration of suppliers, factories, warehouses and stores so that products are distributed to customers in the right quantity and at the right time. This module provides the student with the ability to develop understanding of the concepts, processes and approaches for the operations and supply chain management and strategies in various service and operations in business information systems. Also, students will learn how to apply quantitative methods of analysis to support decision-making in supply chains. Case studies are used to discuss practical and up-to-date supply chain issues.

Organizational Behavior is a field of study that investigates the impact individuals, groups, and structure have on behavior within organizations, for the purpose of applying such knowledge toward improving an organization's effectiveness. This module aims to acquire knowledge on individual, group, and corporate level behavior within organizations, by which students will be ready to cultivate their HR competency needed for carrying out their effective organizational life. This module covers the following themes; 1) Individual Behavior such as Diversity in Organizations, Attitudes and Job Satisfaction, Emotions and Moods, Personality and Values, Perception and Individual Decision Making, and Motivation, 2) Group Behavior such as Communications, and Leadership, 3) Corporate Level Behavior, i.e. HR Policies and Practices. The teaching consists of lecture, team presentation on a given topic or issue, and open/unstructured discussion. The assessment consists of mid-term and final exam(multiple choice + essay), homework report, team presentation. And verbal and written feedback will be given.

This module gives students in-depth knowledge in major concepts and theories to the high-tech marketing practice. Topics can be categorized into three parts: basic marketing principles (marketing processes and planning, market segmentation, marketing mix), high-tech marketing principles (technology-intensive business, chasm theory, and marketing analytics (using R software).

This module aims to provide students with the theoretical and practical knowledge about Artificial Intelligence (AI), especially deep learning. AI is a field that has a long history but is rapidly growing and changing, and deep learning is the most promising technology for implementing human-level AI in recent years. Topics covered in this module are focused on recent deep learning methodologies including multi-layer perceptron, convolutional neural networks, recurrent neural networks and generative models not covered in ITM 516 Data Mining module. The students are assessed by the mid-term exam and the final project at the end of the semester, and a set of (2~4) Python programming assignments during the course.