MATHEMATICS FOR DECISION SCIENCES 1

Academic year
2025/2026 Syllabus of previous years
Official course title
MATHEMATICS FOR DECISION SCIENCES 1
Course code
ET7002 (AF:558833 AR:322065)
Teaching language
English
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Academic Discipline
SECS-S/06
Period
1st Term
Course year
1
Where
RONCADE
This Mathematic course provides the student with the necessary tools to approach the study of Computer Science and Economics.
Familiarity with scientific language and mathematical rigour necessary to define and approach problems of mathematical analysis. The skill to apply the methodology and the techniques learned.
No prerequisites. Knowledge of elementary functions and limit calculus can help.
The topics will be the follow

- Limitis and continuity of real function
- Differentiation
- Optimization
- Integrals
Essential Mathematics for Economic Analysis

di Knut Sydsaeter, Peter Hammond, Arne Strom
There will be a written exam and exercises will be assigned in class or at home during the lessons.
written
As for the grading of the mark (the method by which marks will be assigned):
A. marks in the range 18-22 will be awarded in the presence of:
- sufficient knowledge and applied comprehension skills with reference to the program;
- limited ability to interpret and/or solve problems;
B. marks in the range 23-26 will be awarded in the presence of:
- fair knowledge and applied understanding with reference to the syllabus;
- fair ability to interpret and/or solve problems;
C. scores in the range 27-30 will be awarded if:
- good or excellent knowledge and applied understanding with reference to the syllabus;
- good or excellent ability to interpret and/or solve problems;
D. Honors will be awarded if the student has excellent knowledge and applied understanding with reference to the
program, excellent judgment and problem solving skills.
Frontal instruction and group activity.
Definitive programme.
Last update of the programme: 19/03/2025