welcome to the international datamatician course advanced computer study
Post on 11-Jan-2016
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Welcome to the international
Datamatician Course
Advanced Computer Study
Who are we…..
• Education leader– Per Jensen/ Søren Clemmesen
• Student counsellor – Jørn Deutchbein
• Teachers– About 11 teachers
• Student Council (DSR)– Each class have 1-2 members
• Wunderbar– Administration team
• System administration
Who are we…..
• Roskilde Business Academy is a department of Roskilde Business College.
• Studies– Advanced Computer Studies (Datamatician
Cource)– Marketing Economics
• App. 400 students
Study climate
• Creative and challenging• Space for both individuality and teamwork• Modern class rooms• Group facilities
– You are welcome to stay here in the afternoon
• Library– Computer books and students projects
• IT-café• The famous bar : Wunderbar
Subjects
• Company– Its organisation, project management, financial
management• System development
– Analysis, design, project work, user-participation, prototypes, test, strategy
• Programming– Algorithms, data structures, programming languages,
database programming, implementation• Technology
– Security, computer architecture, distributed systems, internet and intranets
Future
• This education paves the way for an all-round IT-career or a further study at the university for a bachelor/master degree.
• As graduate you will be able to work with: – System developing– Programming– Web design– Innovation– Maintenance of IT– …….
Structure of the Advanced computer studies
Software-construction25 ECTS
Computer architecture and Operating systems
10 ECTS
Computer network and distributed systems
10 ECTS
Elective20 ECTS
Special paper15 ECTS
Software architecture anddistributed programs15 ECTS
Software-design15 ECTS
Information technology in organizations10 ECTS
System developing methods15 ECTS
Programing System development
Technology Company
Software-construction Programmng-
languages Databaseprograming Languge theory Quality Algoritms Templates and
patterns Datastructures and
abstract datatypes Concurrency
Computer architecture and Operating systems
Processes architecture Technology
developement Databases
Computer network and distributed systems
security distributed systems Datatransmis sions
network Systems architecture Standard servers Databases
Elective Special paper
Software architecture and
distributed programs concurrency Distributed
programing Software architecture Language theory Quality Algoritms Datastructures and
abstract datatypes Datastructures and
abstract datatypesSoftware-design Models Methods Pre-analysis Analysis
Design Projectwork IT tools experiments Quality
Information technology in organizations • Organizations- og business concerns Framesystems for company management IT-developing/-investment Organisation and IT security
System developing methods Methods Design Projectwork IT-tools experiments Analyse Quality
Teaching practices at DMU Roskilde
• Learning process are organized as project work– Cross-disciplines
• Good old chalk and blackboard
Problem-oriented project work
• We distinguish between 3 different types of project work– The task project– The discipline project– The problem project
• The difference resolves around the degree of freedom and academic breath
The Task Project is characterized by:
• A high degree of advisor planning and control (within the goals of the curriculum)
• Problem domain is chosen
• Technical and academic methods are chosen
The Discipline Project is characterized by:
• A fairly high degree of advisor planning and control (within the goals of the curriculum)
• Disciplines and academic methods are chosen
• The group describes for themselves the problem formulation within the limits of the chosen disciplines
The Problem Project is characterized by
• No advance planning by the advisor• The problem presents itself within a given
area of academic interest• The problem definition guides the choice
of disciplines and technical/academic methods. (That is, within one project context, groups may work with a wide variety of disciplines and technical/academic methods).
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