Business & Enterprise Prog
Run by School of Computer Science and Electronic Engineering
20.000 Credits or 10.000 ECTS Credits
Semester 1 & 2
Organiser: Dr Cameron Gray
Overall aims and purpose
This module aims to:
- provide a grouding in contemporary technologies and practices used in industry.
- expose students to underlying theory of modern applications.
- instil a sense of real-world applications, their design and structure.
- provide practical experience of data driven applications.
- further students knowledge of a programming language suited to their programme.
Indicative content includes:
- Modern Web UIs; construction and features.
- Threading and Thread safety.
- Database programming.
- HTTP variables and information exchange.
- Modern software project management tools.
- XML parsing, schemas and its use for information exchange.
Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.
Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.
Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.
Employ appropriate tools to support the software development process.
Design and develop modern UIs for business applications.
Develop data-driven web-based software.
Utilise appropriate data formats for information exchange between systems.
|Class Test 1||25.00|
Teaching and Learning Strategy
Traditional Lecture (2 hrs x 12)
Live code seminars (S1 - 1 hr x 12; S2 2 hrs x 12)
Private study including completing indiviudal assessments.
Group Development Project.
- Computer Literacy - Proficiency in using a varied range of computer software
- Exploring - Able to investigate, research and consider alternatives
- Information retrieval - Able to access different and multiple sources of information
- Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
- Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
- Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team
Subject specific skills
- Knowledge and understanding of facts, concepts, principles & theories
- Use of such knowledge in modelling and design
- Problem solving strategies
- Deploy theory in design, implementation and evaluation of systems
- Knowledge of management techniques to achieve objectives
- Knowledge of information security issues
- Specify, design or construct computer-based systems
- Deploy tools effectively
- Work as a member of a development team
- Development of general transferable skills
- Deploy systems to meet business goals
- Methods, techniques and tools for information modelling, management and security
- Knowledge of systems architecture
- Specify, deploy, verify and maintain information systems
- Defining problems, managing design process and evaluating outcomes
- System Design
- Knowledge and understanding of computational modelling
- Specify, deploy, verify and maintain computer-based systems
- Principles of appropriate supporting engineering and scientific disciplines
Courses including this module
Compulsory in courses:
- G400: BSC Computer Science year 2 (BSC/CS)
- G40B: BSc Computer Science (4 year with Incorporated Foundation) year 2 (BSC/CS1)
- G40F: BSc Computer Science year 2 (BSC/CSF)
- I103: BSc Computer Science with Game Design year 2 (BSC/CSGD)
- I102: BSc Computer Science (with International Experience) year 2 (BSC/CSIE)
- G40P: BSc Computer Science with Industrial Placement year 2 (BSC/CSIP)
- H118: BSc Data Science & Artificial Intelligencetellig year 2 (BSC/DSAI)
- H113: BSc Data Science and Machine Learning year 2 (BSC/DSML)
- H114: BSc Data Science and Visualisation year 2 (BSC/DSV)
- H117: MComp Computer Science year 2 (MCOMP/CS)