SE and Professional Issues in the new BSc Programmes Reiko Heckel

Transcription

1 Computer Science Department SE and Professional Issues in the new BSc Programmes Reiko Heckel Industrial Advisory Board, 25 September

2 New BSc Degrees Computing (BBB/BBC) The knowledge needed for most jobs / further study Core maths and general problem solving skills Computer Science (ABB/BBB) Adds scientific problem solving, AI, logical foundations and theory of computation Increased range of final year options Computing with Management (BBB/BBC) ~70 % Computing ~30% Management Also: with Industry / Europe and MComp degrees Accreditation as BCS Chartered Engineer (CEng) and Chartered Scientist (CSci)

3 Common Core All degrees (including with management) have a common core of modules Mathematics Databases and Web Applications Group project work Skills and Professional Issues Programming in Java HCI Provide a good framework for more degrees, such as other with programmes

4 Variations Computer Science non-core covers Logic and Problem Solving Computation Theory Functional Programming Wider choice of level three options Computing non-core covers Basics of Information Management Computers and Society Finance and Business Computing Some level three options not available (e.g. Concurrency Theory)

5 Software Engineering Modules Year 1: technical foundations and professionalism Program Design (Java) Internet Technologies and Data Bases (PhP/MySQL) Study Skills and Professional Practice Year 2: SE foundations and project Software Engineering and System Development Software Project Management Software Engineering Group Project Year 3: application Individual Project

6 Study Skills and Professional Practice Study Skills Use of classes, assessment, feedback, revision and exams Essay writing, time management; team work Reflection on and plan of personal development. Good scholarship in searching, evaluating and using sources Professional Practice Professional bodies, Computing law (data protection, IPR, ) Essay on data protection in SW development Discussion on test coverage and liability Social and ethical issues Supported by external lecturers Mary Clarkson (BCS) Tom Rushall (Bloomberg)

7 Software Project Management and Professionalism Professional and legal issues as applied to a concrete project Software process models; risk assessment; project planning and execution Languages, methods, and tools for Web applications, preparing for the group project Mini project: Online trading system, also in cooperation with Bloomberg

8 The 2 nd year SE Group Project Real team issues work as part of a team of 5-8 students experience interesting group dynamics Real client understand and capture customer requirements demonstrate and explain the system to the customer Design, implementation and testing following the iterative, model-based Unified Process Produce project reports and system documentation using UML use case and class diagrams, etc. Manage risks and resources Deadlines, illness, problems with tools, Acquire autonomously knowledge and skills required

9 0708 and 0809 Group Project Virtual Teaching Hospital System (VTHS) allows medical student to practice clerking (acquisition and entry of data), diagnosing and managing patients during hospital placements supports remote feedback and supervision of students incorporate existing prototypes and data base tables is based on a medical decision support system (for diagnosis) conceived by Dr John Omara

10 3 rd Year Individual Project Proposals published at the end of year 2 Students sign up with their supervisors Autonomous planning, background research, and development, supported by lectures on SVN version control Academic standards and plagiarism Career planning Report writing and viva preparation Weekly meeting with supervisor Production of reports, presentation of prototype and viva

11 Example Projects Gaming with (Augmented) HCI Controlling a 3D game using gestures detected by webcam Slitherlink Puzzle Game Creator & Solver Visual layout and search strategies in a 2D numeric puzzle Chemical Reaction Rate Analysis Using Graph Transformations Deriving ODEs from transformation rules

12 Technical vs. Management Skills