MATHEMATICS FOR DECISION SCIENCES 1

Academic year
2026/2027 Syllabus of previous years
Official course title
MATHEMATICS FOR DECISION SCIENCES 1
Course code
ET7002 (AF:723007 AR:427494)
Teaching language
English
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Academic Discipline
STAT-04/A
Period
1st Term
Course year
1
Where
RONCADE
This course belongs to the fundamentals teaching activities of the bachelor course in Digital Management. In line with the educational objectives of the course, this activity aims to present the main mathematical tools necessary for the analysis of economic phenomena; particular attention will be devoted to the use of formal language and methodological rigor. More specifically, the course aims to provide the main notions of calculus for functions of one real variable.
Knowledge and understanding skills.
Attendance and active participation in lectures, online activities, exercise sessions, together with the individual study will allow the student to acquire the following knowledge and understanding skills:
- know and use the main mathematical tools necessary to represent economic phenomena;
- know the mathematical techniques useful to solve and analyze the proposed models.

Ability to apply knowledge and understanding.
Through the interaction with the instructors and peers and through the individual study the student acquires the following abilities:
- know how to use quantitative instruments to cope with issues related to an economic / business environment;
- know how to choose the most appropriate technique in order to solve the concrete problem under analysis.

Judgment skills, communication skills, learning skills.
Regarding the autonomy of judgment, communication skills and learning abilities, through the personal and group study of the concepts seen in class, the student will be able to:
- formulate rational justifications to the approach used to solve economic / business problems, understanding their relative strengths and weaknesses, by means of hypotheses, data and models;
- know how to formulate and communicate an adequate analysis and economic-financial interpretation of business figures also through the use of mathematical models.
Standard topics covered in secondary school courses are supposed to be known. More specifically, the entire program covered during the course: "Mathematics (Additial Learning Requirements)" offered at Ca' Foscari. As an example, see the syllabus of the CISIA tolc-E test on the page https://www.cisiaonline.it/en/tolc/tolc-e/structure-and-syllabus
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. The exam will consist of two structured exercises designed to test students' skills and ability to apply the knowledge acquired during the lessons.

Exercises similar to those proposed in the final exam are available on the Moodle platform, both in the form of exercise sheets provided by the teacher and in the form of past exam papers or mock written tests.

written

The lecturer has a duty to ensure that the rules regarding the authenticity and originality of exam tests and papers are respected. Therefore, if there is suspicion of irregular conduct, an additional assessment may be conducted, which could differ from the original exam description.

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: 31/03/2026