Code
MGSF INF 4801
Level
M1
Field
Informatique
Language
Français/French
ECTS Credits
6
Class hours
54
Total student load
120
Program Manager(s)
Department
- Technologies, Information et Management
Educational team
Introduction to the module
Artificial Intelligence (AI) will disrupt the business and change a significant number of jobs. However, these transformations will be disparate according to the economic sectors and the functions of the company. The uses of AI in companies are varied: predictive maintenance, decision support, increased human expertise. Trades, products and services will be transformed. In particular, the activities of managers will be modified, mostly in the field of decision-making, thanks to algorithms that offer predictive solutions. Focusing on key AI technologies, this course will help you understand their impact on firms, as well as the economic and social issues they raise. It will examine how artificial intelligence can complement, enrich and strengthen the employees of the company rather than simply eliminate jobs.
Evaluation and grading system and catch up exams
Final grade= 50% * Project + 50% * Exam
● The project grade includes the quality of the report and
the presentation
● The final exam will cover all content seen in class
Module Policies
Professor-Student Communication
● The professor will contact the students through their school email address (IMT-BS/TSP) and the Moodle portal. No communication via personal email addresses will take place. It is the student responsibility to regularly check their IMT-BS/TSP mailbox.
● Students can communicate with the professor by emailing him/her to his institutional address. If necessary, it is possible to meet the professor in his office during office-hours or by appointment.
Students with accommodation needs
If a student has a disability that will prevent from completing the described work or require any kind of accommodation, he may inform the program director (with supporting documents) as soon as possible. Also, students are encouraged to discuss it with the professor.
Class behavior
● Out of courtesy for the professor and classmates, all mobile phones, electronic games or other devices that generate sound should be turned off during class.
● Students should avoid disruptive and disrespectful behavior such as: arriving late, leaving early, careless behavior (e.g. sleeping, reading a non-course material, using vulgar language, over-speaking, eating, drinking, etc.). A warning may be given on the first infraction of these rules. Repeated violators will be penalized and may face expulsion from the class and/or other disciplinary proceedings.
● The tolerated delay is 5 minutes. Attendance will be declared on Moodle during these 5 minutes via a QR code provided by the teacher at each course start.
● Student should arrive on time for exams and other assessments. No one will be allowed to enter the classroom once the first person has finished the exam and left the room. There is absolutely no exception to this rule. No student can continue to take an exam once the time is up. No student may leave the room during an examination unless he / she has finished and handed over all the documents.
● In the case of remote learning, the student must keep his camera on unless instructed otherwise by the professor.
Honor code
IMT-BS is committed to a policy of honesty in the academic community. Conduct that compromises this policy may result in academic and / or disciplinary sanctions. Students must refrain from cheating, lying, plagiarizing and stealing. This includes completing your own original work and giving credit to any other person whose ideas and printed materials (including those from the Internet) are paraphrased or quoted directly. Any student who violates or helps another student violate academic behavior standards will be penalized according to IMT-BS rules.
Keywords
IA intelligence atificielle machine learning deep learning