BSc (Hons) Computer Science (Top-up)

Learning Outcomes

Artificial Intelligence and Machine Learning

On completing the module, the student will be able to:

• Understand and critique the principles of rational reasoning and intelligent behaviour, the similarities and the differences between natural and human intelligence.
• Formulate problems which require AI approach for solving them and choose appropriate agent architectures
• Apply knowledge of the most popular models, methods and algorithms for building and operation of rational agents and for processing information using AI
• Design and develop basic AI programs which demonstrate intelligent behaviour and rational thinking in typical environment using available data sets.
• Understand the Legal, Ethical & Professional Issues brought by AI and comment on the impact of AI on individuals, organisations and the society as a whole.

Career Development Learning

At the end of this module, students should be able to:

• Demonstrate that they can function effectively as independent learners in supervised and unsupervised learning environments, including selecting and applying appropriate methods and procedures to accomplish the required tasks.
• Communicate effectively with internal/external teams, clients, colleagues, decision-makers and budget holders.
• Apply analytical, creative and advanced problem-solving skills relevant to the subject.
• Critically evaluate skills and performance and plan for their systematic improvement.
• Evidence an enhanced understanding and awareness of important commercial, social and professional factors and their impact on society as a whole and business in particular.

Distributed, Cloud and IoT Systems

On successful completion of this module the student should be able to:

• Demonstrate understanding of different principles, infrastructure and models of complex software systems for enterprise data processing – distributed, hierarchical and service-oriented.
• Design software architectures for data processing based on different information technologies, working on different platforms – desktop, portable, embedded, cloud-based and edge-based.
• Interpret, transform and implement data models and software specifications written in pseudo-code, UML modelling notation and XML/JSON markup languages into working code using enterprise programming language.
• Integrate existing software components, off-the-shelf products and cloud services for implementing distributed, mobile, embedded and wearable systems using suitable frameworks, design patterns, development tools and software APIs.
• Consider alternative solutions for implementation of data processing systems, justify design decisions, estimate trade-offs and critically evaluate their impact at different stages of the software system lifecycle.
• Undertake risk assessment and recommend appropriate security policy.

Formal Languages

On completing the module, the student should be able:

• Demonstrate understanding of the advantages of using formal specification and understanding of specifications written by others.
• Develop formal specifications from informal problem statements
• Describe and recognise the characteristics of major established architecture styles
• Evaluate the quality of their specification and implementation, and their experiences of group work, the processes of producing their coursework and the product produced.

Mobile Applications

On successful completion of this module the student should be able to:

• Develop mobile applications that meet business needs for typical mobile devices.
• Integrate existing software components, wireless and Internet services for implementing distributed mobile systems using suitable frameworks, development tools and software APIs.
• Deploy mobile software applications to mobile devises running typical operating system such as Google Android.
• Use industrial IDE for development, integration, testing and deployment of mobile applications on mobile devices.

Project

On completion of the module the student should be able to:

• Carry out independent research and investigative work.
• Apply knowledge, skills and abilities to the solution of a previously unfamiliar real-life problem.
• Apply a structured design process to the development of the solution.
• Apply project management techniques to ensure that the project is completed in a timely manner, meeting the requirements of the appropriate professional body or industry standards.
• Select from a range of alternatives the optimal solution to a problem and to justify that selection, giving due consideration to risk management and security issues.
• Carry that solution through to final implementation, demonstrating an ability to work in a team, if appropriate.
• Formally and correctly report on the progress and outcomes of the process, and reflect upon their personal development, legal, social, ethical and professional issues.