CCMAS Course Search

Evaluation of various computer applications and their utilisation in a healthcare environment. Use and competencies in application software such as EPI Info, EPI Data, Health Mapper, SPSS, Microsoft Access and many others. Electronic Health Records compatible software in health data management. 400 Level courses

An in-depth look at software design. Continuation of the study of design patterns, frameworks, and architectures. Survey of current middleware architectures. Design of distributed systems using middleware. Component based design. Measurement theory and appropriate use of metrics in design. Designing for quality attributes such as reliability, performance, safety, security, reusability, etc. Measuring internal qualities and complexity of software. Evaluation and evolution of designs. Lab Work: Practical demonstration of the use of design patterns, frameworks and architectures. Practical simulation of distributed systems. Illustration of component based design. Working with software design software. Use of software metrics measuring software.

Management of the software configuration management process – organisation context for software configuration management, constraints and guidance for software configuration management process. Planning for software configuration management, software configuration management plan, and surveillance of software configuration management. Software configuration identification and software library. Software configuration control – requesting, evaluating and approving software changes, implementing software changes, and deviations and waivers. Software configuration status accounting – software configuration status information and reporting. Software configuration auditing. Key issues in software maintenance – technical issues, management issues, maintenance cost estimation, and software maintenance measurement. Maintenance process – maintenance processes and activities. Techniques for maintenance – program comprehension, re-engineering, reverse engineering, migration, and retirement. Lab Work: Practical demonstration of software configuration management processes. Working with software configuration management software. Illustration of software maintenance processes and activities. Working with software maintenance software. Illustration of software re-engineering and reverse engineering techniques.

Definition of Software Construction; Its importance; Key construction decisions – choice of programming language, selection of major construction decisions. Design in construction – Key design concepts, levels of design, design heuristics. Abstract Data Types (ADTs). Working Classes. High Quality Routines. The Pseudo Code Programming Process. Fundamental Data Types – Numbers, Characters and Strings, Boolean Variables, Arrays, Tables. Types of Statements – Straight Line Code, Loops, Control Structures; Developer Testing and Debugging. Software Craftsmanship – Layout and Style, Documentation, Personal Character. Lab Work: Practicals on the most common tools to ensure good software construction. The features include static code analysers to check that code follows coding conventions, special code searching and editing, collaboration support to allow multiple programmers working simultaneously, support for proper code documentation. Practice with IDEs (such as Visual Study Code, NetBeans and Eclipse) on debugging, compilation, running of code, auto completion and version control.

Software engineering and its place as an engineering discipline; Life cycle of software system: Requirements analysis; development; operation and maintenance; Software metrics: Portability; Re-usability; Correctness; Reliability; Efficiency; Usability; Integrity; Maintainability and Flexibility; Software quality and testing; Software architecture: architecture description languages; pattern-oriented software architecture; component-based development; distributed software architecture using middleware; enterprise application integration; architecture for mobile and pervasive systems and model driven architecture; Advanced modelling: UML extension mechanisms; object constraint language and model checking; Software project management: Study of interpersonal process decision making styles; problem solving concepts and procedures; creative effort; conflict resolution; leadership and assessment; Concepts of motivation; team work and group dynamics; Software engineering and law: intellectual property law; professional ethics and code of conduct; Patents; trademarks; copyright; trade secrets; privacy and confidentiality; contracts and licensing; government regulations; global legal issues including Internet law and cyber crime; Overview of Open Source Software

Software entrepreneurial process. Principles of software business ownership. Identifying software market opportunities. Entrepreneurial software marketing. Software business communication and negotiation techniques. Feasibility analysis. Entrepreneurial financing. Legal issues. Software business plan development. Risk management.

The importance of Software Testing. Understanding Verification and Validation. How to assure it and verify it, and the need for a culture of quality. Avoidance of errors and other quality problems. Inspections and reviews. Testing, verification and validation techniques. Process assurance vs. Product assurance. Quality process standards. Product and process assurance. Problem analysis and reporting. Statistical approaches to quality control Lab WorK: Debugging tools; unit testing – black box and white testing techniques; integration and system testing tools; other testing tools – performance testing, load testing, stress testing, regression testing, security testing; manual testing vs automated testing.

The course consists of three blocks, each consisting of a project assignment, lectures and exercise sessions: Block One includes analysis and modeling of the need for Information exchange for power system control. The aim is to train the students to analyse different perspectives on information necessary for power system control. The project assignment in the block includes implementation of a simple information model for the exchange of data on power systems. Block Two includes basics in programming techniques and computer science focusing on machine learning methods with applications in power systems. The project assignment in the block consists of developing machine learning algorithms for forecasting. Block Three includes Introduction to matlab: Laboratory oriented course designed to introduce students who already have taken a programming course to programming in MATLAB. Topics include introduction to the MATLAB environment, matrix manipulation and computation, MATLAB programming language, writing functions and scripts, and production of 2D graphical output.

Engineering classification of rock and soils; Weathering and weathering factors; Weatherability of minerals; Soil types; Structures and textures in rocks and soils; Clay minerals types; structures; identification and influence on soil properties; Stress and strain in 2 and 3 dimensions; Representation of stress and strain; Theories of elasticity and plasticity; Stress fields and their measurements; criteria of failure and yield; Classification of soils; Flow of water in soil - steady state and transient conditions; Shear strength and its measurement; Limiting conditions in a semi-infinite space; Soil properties and their measurement; Earth pressures; Bearing capacity; Physical Properties of rock; Measurement of Stress/Strain in the laboratory and in the field; Planes of weaknesses

Examination and description of specific chemical properties and processes in soil and in relation to environment; consequences of the processes in relation to environmental quality and pollution; application of basic chemical concepts to the terrestrial system in the examination of the behaviour of solutes and associated solid phases in soils and related resources