Calculus and Statistics
A.Y. 2024/2025
Learning objectives
The study of the environment and impacts on health is a complex and challenging job requiring solid scientific and technical competences.
The aim of this course is to give students the basic mathematical and statistical knowledge that are necessary to cope with quantitative activities related to science of life. To reach this aim, it is important that students understand which are the internal structures and the essential procedures of Mathematics and Statistics in order to be able to apply them in their future technical and professional activities.
The aim of this course is to give students the basic mathematical and statistical knowledge that are necessary to cope with quantitative activities related to science of life. To reach this aim, it is important that students understand which are the internal structures and the essential procedures of Mathematics and Statistics in order to be able to apply them in their future technical and professional activities.
Expected learning outcomes
At the end of the course students are expected to be able to:
Develop a logical and mathematical reasoning
Solve problems with differential and integration calculus
Develop basic mathematical models
Select the most appropriate statistical procedures for scientific and laboratory applications
Students will achieve knowledge of:
Fundamental aspects of differential and integral calculus as a base for further courses in their degree program
Fundamental statistical and probabilistic methods as a base for software instruments used in biological and pharmacological laboratories.
Develop a logical and mathematical reasoning
Solve problems with differential and integration calculus
Develop basic mathematical models
Select the most appropriate statistical procedures for scientific and laboratory applications
Students will achieve knowledge of:
Fundamental aspects of differential and integral calculus as a base for further courses in their degree program
Fundamental statistical and probabilistic methods as a base for software instruments used in biological and pharmacological laboratories.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
MAT/07 - MATHEMATICAL PHYSICS - University credits: 6
Practicals: 32 hours
Lessons: 32 hours
Lessons: 32 hours