Code
MUSE FIN 3409
Level
L3
Field
Finance
Language
Anglais/English
ECTS Credits
3
Class hours
18
Total student load
60
Program Manager(s)
Department
- Data analytics, Économie et Finances
Educational team
Introduction to the module
This is a fundamental course in finance.
It provides the essential quantitative toolkit for making informed business and financial decisions.
Topics include basic computation tools, linear functions, quadratics, differentiation, time value of money, probability and descriptive statistics.
Learning objectives/Intended learning outcomes
- 2.1 - Develop a critical awareness of highly specialised knowledge, some of which is at the forefront of knowledge, with a view to formulating innovative contributions to complex issues, in line with the strategic plan of organisations and with scientific
Rubrics
Students will be able to use quantitative tools to solve finance problems.
Content : structure and schedule
1. Computation
2. Linear function
3. Quadratics
4. Differentiation
5. Time value of money
6. Probablity
7. Descriptive statistics
Sustainable Development Goals
Goal 9: Industry, innovation and infrastructure
This course contributes to SDG 9 by providing the quantitative foundations needed to model cash flows, risk, and valuation, thereby supporting the design and financing of robust industrial, innovative, and infrastructure investments.
Number of SDG's addressed among the 17
1
Learning delivery
synchrone
Pedagogical methods
Lecture + In-class Exercises
Real world data analysis and examples are an integral part of the course.
Exercise: Solve problem sets after each topic in class and at home if needed.
Evaluation and grading system and catch up exams
Attendance is mandatory for the course.
The final grade of this course consists of two closed-book written exam:
- 40% (1h) mid-term exam
- 60% (2h) final exam
- Bonus points according to the attendance and participation to class discussion.
- In case of absence, the garde of the exam will be 0.
- In case of absence with excuses validated by the administration, the exam will be neutralised.
- There is no resit exam for mid-term exam alone.
- A closed-book written resit exam will be held in case of failing. The resit exam will stand alone for the final grade and will be limited to 10.
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.