GEST5006-1

Duration

15h Th, 25h Mon. WS

Number of credits

	Master of Science (MSc) in Data Science	5 crédits
	Master of Science (MSc) in Data Science and Engineering	5 crédits
	Master in mathematics (120 ECTS)	4 crédits
	Master in mathematics (60 ECTS)	4 crédits

Lecturer

Michael Schyns

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

No company can survive without a good management information system. Nowadays, a company must be able to collect, analyze and handle huge volume of data in order to answer managerial questions and/or offer new top value services. Amazon, Google, Facebook are obvious successful stories confirming the importance of data management.
Three keywords to define the course:

Management field: Decision Making
Approach: Data analysis (Analytics)
Theory (basics) and applications

In this course, the main question is: How to transform raw "stupid" data into valuable "actionable" information? Common applications in finance are fraud detection, credit risk analysis, risk profile, pricing... Common applications in eCommerce are recommendation tools, converting clicks into customers... Other common applications in Supply Chain Management are revenue management (e.g. airline ticketing), capacity management, diagnosis of production faults, forecasting demand, predictive modeling, advanced reporting based on ERP systems... Common applications in marketing and sales are the analysis of customer loyalty, the analysis of the market basket, the identification of prospective customers)...
This course covers machine learning techniques such as: - data preparation - decision trees - neural networks - linear and logistic regression - market basket analysis - clustering - model analysis
This course includes a SAS certification "Predictive Modeling Using SAS Enterprise Miner". A nice added value to your degree. See below for details:

Learning outcomes of the learning unit

Gaining the knowledge and understanding of the chosen concentration field.
Understanding and being able of using modelization methods.
Capacity to research autonomously and methodically the information needed to solve a complex, transversal management problem.
Integrate autonomously researched information, tools, knowledge and context to build and propose original, creative and viable solutions to concrete complex management problems whether real or simulated.
Providing concrete solutions to a management problem, integrating modelization methods and/or a dimension of technology, innovation or production.
Developing a critical sense (arguing).
Professional capacity for written communication.

Prerequisite knowledge and skills

Basic computer skills Basic statistical knowledge

Planned learning activities and teaching methods

This course is based on a SAS certification program. The students who obtain a mark large enough (threshold set by SAS) also get the SAS external professional certification. The online course provided by SAS is open at the beginning of the year and the exam will be held at the end of the second semester. You can work at your own pace, when you wish, and from where you want (even from your Erasmus location during the first semester while the offline course starts only in February). The SAS exam can be sit at the end of the year at HEC or before in a SAS certified center.
The off-line lectures are optional. During the lectures, we help you to start the training (connection and basics), we perform a simple case study, and we are available to answer questions.

Mode of delivery (face to face, distance learning, hybrid learning)

This is an online course with some otional offline lectures.

Organisational adjustments related to the current health context

A life session will be held if the pandemic situation prevents us to meet at HEC. If the SAS certification cannot be organized on site, then the students will be allowed to choose between two possibilities: 1) The weight of the SAS project will be increased. An oral examination through LifeSize (or similar) will be considered (project and theory). 2) The SAS online certification. However, for the online certification, the price and the availability (and the quality) of the system will depend on SAS and Pearson (no warranty at this time).

Assessment methods and criteria

Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.

Any session :

- In-person

written exam

- Remote

oral exam AND written work

- If evaluation in "hybrid"

preferred in-person

Additional information:

Two parts:

60% Certification exam on computer (by SAS) Remark: the FIRST certification exam is free for my students. A fee may be required to sit a second (or more) time the certification exam. If it is a problem, the student will be allowed to choose between the SAS certification or a local exam (free but without certification).
10% Exercices of the Online Tuto
30% Project on real data

If we cannot organize the local certification due to the pandemic crisis , then the weight of the SAS project will be increased. An oral examination through LifeSize (or similar) will be considered (project and theory)

Work placement(s)

Organizational remarks

Contacts

M. Schyns, HEC-Liege, N1 M.Schyns@uliege.be
F.Peters, HEC-Liege, N1 fpeters@uliege.be

SAS Certification applied analytics