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Master 2IS - Course description

Year 1 - Semester 1

Business intelligence (5 ECTS)

The objectives of this course are to study the concepts associated to Business Intelligence (BI) as well as to conceive and implement the components of a decision support system. First, we study the decision process in the context of a company strategy. Second, we identify the different components of a decision support system, focusing on new concepts like Self-Service BI. Third, we study how to conceive and deploy a datawarehouse (data model, extraction transformation and loading processes, SQL queries). Fourth, we address multidimensional modeling (conceptual, logical and physical models) and implementation. Finally, we study new solutions dedicated to data restitution and data visualisation.
Project management and agility (5 ECTS)

This course will start with an introduction to agile project management and an overview of agile methodologies, with an emphasis on the problematics surrounding the adoption of these practices. Agile planning will then be the central theme of the course, from project initiation, to estimates and release plan, to monitoring iterations. Additional topics will include how to lead an agile team, managing stakeholders engagement, and ensuring delivery of values in agile projects.
Advanced programming (5 ECTS)
The objective of this course is to be able to realise an application combining data management from multiple sources (Internet, files, databases…) with statistical analysis and data visualisation. The course will be divided into three parts, each one involving a final project to be delivered: an initial section on advanced object programming, a second section on implementing algorithms from artificial intelligence, and a final part on Framework-based software development and design pattern..
Prerequisites: basic algorithmic, basic notions of Java programming (variables, cycles, conditionals, classes and methods..), basics of object programming, graphical interfaces.

Data analytics (5 ECTS)
Data analysis is more and more important in the understanding of business and decision making processes that usually include descriptive and predictive analysis. In this course, we address two main problems for computer scientists concerned by data analysis: data collection and data visualization. The course will be divided as follows: first, students will learn how to extract and deal with imperfections in data (data munging). Second, classical calculus techniques will be considered (such as data mining, bayesian inference and regression). Third, the students will focus on communicating the results. The main techniques and principles for interactive visualization will be considered, and students will have the opportunity to experiment different kinds of tools from predefined libraries to specialized software. 
Prerequisites: probability and statistics (basics), database management (SQL), algorithms. 

Year 1 - Semester 2

Business process modelling (5 ECTS)
Business processes (BPs) are widely recognized as an essential component of information systems, given the growing need for organizations to both cooperate with others and coordinate their activities inside their own structure. This course will cover the BP life-cycle, including process design, its enactment as a workflow and also its analysis. Both theoretical backgrounds and practical tools will be presented to allow students to build business information systems. Students will learn how to position BP modelling within information systems, model business processes with the standard BPMN, build business information systems on top of process management systems such as YAWL or Bonita, and measure the quality of a process.
Prerequisites: basics of UML.
Computational intelligence (5 ECTS)

Artificial intelligence is a collection of computational techniques whose applications are revolutionising the way in which we think and make businesses. The objective of this course is to be able to conceive and program two examples of such applications: a recommender system and automated profiling system, and an automated personal assistant. The techniques that will be learned range from machine learning techniques such as clustering and deep learning, to optimisation, knowledge management, inference, and the basics of natural language processing.
Prerequisites: good programming skills, basics of algorithms.
Web services and enterprise architecture (5 ECTS)
This course will present information system qualities and issues, the need for urbanization and how SOC (service-oriented computing) could be used to provide more modular, flexible and interoperable information systems. Student will also design and implement web services in a SOA (Service-Oriented Architecture) context. Students will develop SOAP and REST services and will learn how to orchestrate service-based processes expressed with BPEL. 
Prerequisites: JAVA, BPM.
Product development and entrepreneurship (5 ECTS)
Our global economy is driven by innovation, accounting for more than 80 percent of net new job creation. The global “innovation economy” of the future will require in addition to the traditional skills, such as accounting, finance, marketing, engineering, new skills such as creativity, ideation, startup building or new product management. The main idea in this course is learning how to rapidly develop and test ideas by gathering customer and marketplace feedback. The course extensively relies on Steve Blank and Eric Ries approach of customer building and lean startup. In this course, the student will design an innovation (tangible product) from A to Z (from ideation to prototyping). Teaching objectives include understanding and practicing user-centric techniques to identify valuable insight, opportunities and market trends (such as : qualitative methods, observation, netnography, etc.), discover design thinking, creative/ideation techniques, include consumers in the value creation process and develop a consumer engaging co-creation strategy.

Year 1 - All year long

Professionalisation (12 ECTS)
Objectives: These activities aim at developing all the soft skills that are required for a career in innovation and IT.
Description: The course will be divided into four modules:
  1. One group project per semester, with a dedicated week without other courses (typically in the middle of the semester). In groups of 5 students, one topic given by a teacher will be be developed in depth. The topic will need to use techniques from all the courses taught during the semester.
  2. Personal development courses (15hrs): presentation skills, CV writing, communication
  3. Weekly staff meeting (15hrs): in an informal environment, each student presents a topic that is relevant to her career or the master to the other students, obtaining feedback on her presentation. Once a month, a debate on a topic from the news will be organised and managed by a group of students. Minutes will be taken at every meeting. This will also be an occasion to discuss about issues on the master programme and give feedback on other courses. External speakers may also be invited to participate
  4. Invited conferences
Languages (12 ECTS)
French-speaking students will follow a course on advanced English (A1 level). All other students will attend a course on French as a Foreign Language (with the possibility of obtaining a certified exam by the end of the year

Year 2

The second year of Master 2IS will open in the 2018/2019 academic year.

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