Course unit

Enterprise Information Systems

Last updated: 26/09/2022

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Course Director(s):

YUGMA Claude

General Description:

Key words:

Big Data

Number of teaching hours

18

Fields of study

Computer Science, Information Systems

Teaching language

French

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority
Understand the key concepts of company architecture and its information systems 2. Understand Essential
Understand management methods for projects and industrialisation 2. Understand Essential
Cover some techniques of key software design and development for interoperability requirements 1. Knowledge Essential
Understand the fundamentals of Cloud Computing and Big Data 2. Understand Important

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: 33 % Project submission: 33 %
Individual oral exam: % Group presentation: 33 %
Individual presentation: % Group practical exercise: %
Individual practical exercise: % Group report: %
Individual report: %
Other(s): %

Programme and content

Type of teaching activity Content, sequencing and organisation
Course

Information systems and company architecture

a.       Presentation of a concrete case/ Applications : Functions / profession, technos

b.      Generalities & Themes

c.       Links with other course units

d.      Principle management referentials of Information Systems 

e.      Company Architecture & Modelling  

Principle fields of piloting IS

a.       Change Management

b.      Life cycles: Demands, Applications, Services/ Build, Deploy, Run 

c.       Governance – Deming PDCA

d.      ITIL

e.      Risks and security

Lean Approach / 6 Sigma – Business Architecture

a.       DMAC

b.      FMEA

c.       Cpk capacity process

Software Architecture 

a.       Web Architecture

b.      SoA, Micro Services, Message Bus

 Computer project management and company architecture

a.       Planning and managing

b.      Agility and managing by value

Cloud Computing and Big Data -

a.       Generalities

b.      Added value, drawbacks

c.       Principle actors

Case study

Presentations