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B006411 - MATHEMATICS
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2014-15
Course year
First year - First Semester
Belonging Department
Biology (BIO)
Course Type
Single education field course
Scientific Area
MAT/05 - MATHEMATICAL ANALYSIS
Credits
12
Teaching Hours
96
Teaching Term
22/09/2014 ⇒ 23/12/2014
Attendance required
No
Type of Evaluation
Final Grade
Course Content
show
Course program
show
Lectureship
- Last names A-L MASCOLO ELVIRA
- Last names A-L SALANI PAOLO
- Last names M-Z PAPI GLORIA
Teaching Language - Last names A-L
Italian
Teaching Language - Last names M-Z
italian
Course Content - Last names A-L
The concept of function and sequence and their properties. Limits and continuity. The derivative and applications. Integral and Integration techniques. Differential equations.
Mathematical models in population dynamics.
Elementary calculus and distributions.Basics of descriptive statistics.
Mathematical models in population dynamics.
Elementary calculus and distributions.Basics of descriptive statistics.
Course Content - Last names M-Z
The concept of function and sequence and their properties. Limits and continuity. The derivative and applications. Integral and Integration techniques. Differential equations. Mathematical models in population dynamics.Elementary calculus and distributions.Basics of descriptive statistics
Suggested readings - Last names A-L (Search our library's catalogue)
P.Marcellini- C.Sbordone, Elementi di calcolo, Liguori Editore .
P.Marcellini- C. Sbordone, Esercitazioni di Matematica, Liguori Editore, Primo Volume (parte prima e parte seconda).
Recommended reference books
M. Abate, Matematica e statistica. Le basi per le scienze della vita, McGraw-Hill
E. Batschelet, Introduzione alla Matematica per biologi, Piccin.
P.Marcellini- C. Sbordone, Esercitazioni di Matematica, Liguori Editore, Primo Volume (parte prima e parte seconda).
Recommended reference books
M. Abate, Matematica e statistica. Le basi per le scienze della vita, McGraw-Hill
E. Batschelet, Introduzione alla Matematica per biologi, Piccin.
Suggested readings - Last names M-Z (Search our library's catalogue)
Textbooks:
P.Marcellini- C.Sbordone, Elementi di calcolo, Liguori Editore .
P.Marcellini- C. Sbordone, Esercitazioni di Matematica, Liguori Editore, Primo Volume (parte prima e parte seconda).
Recommended reference books
M. Abate, Matematica e statistica. Le basi per le scienze della vita, McGraw-Hill
E. Batschelet, Introduzione alla Matematica per biologi, Piccin.
P.Marcellini- C.Sbordone, Elementi di calcolo, Liguori Editore .
P.Marcellini- C. Sbordone, Esercitazioni di Matematica, Liguori Editore, Primo Volume (parte prima e parte seconda).
Recommended reference books
M. Abate, Matematica e statistica. Le basi per le scienze della vita, McGraw-Hill
E. Batschelet, Introduzione alla Matematica per biologi, Piccin.
Learning Objectives - Last names A-L
Knolewdge acquired (at the end of the course):
Differential Calculus, Integration Techniques Mathematical models for the study of biological problems. Elementary probability and descriptive statistical tools. Distributions.
Competence acquired (at the end of the course):
Graphing and Asymptotes. Calculation of Integrals. Solving differential equations. Position of a mathematical model. Troubleshooting elementary probability. Study of statistical tables.
Skills acquired (at the end of the course):
The course provides knowledge of basic mathematics and its applications with logical rigor and conceptual.
Differential Calculus, Integration Techniques Mathematical models for the study of biological problems. Elementary probability and descriptive statistical tools. Distributions.
Competence acquired (at the end of the course):
Graphing and Asymptotes. Calculation of Integrals. Solving differential equations. Position of a mathematical model. Troubleshooting elementary probability. Study of statistical tables.
Skills acquired (at the end of the course):
The course provides knowledge of basic mathematics and its applications with logical rigor and conceptual.
Learning Objectives - Last names M-Z
Knolewdge acquired (at the end of the course):
Differential Calculus, Integration Techniques Mathematical models for the study of biological problems. Elementary probability and descriptive statistical tools. Distributions.
Competence acquired (at the end of the course):
Graphing and Asymptotes. Calculation of Integrals. Solving differential equations. Position of a mathematical model. Troubleshooting elementary probability. Study of statistical tables.
Skills acquired (at the end of the course):
The course provides knowledge of basic mathematics and its applications with logical rigor and conceptual.
Differential Calculus, Integration Techniques Mathematical models for the study of biological problems. Elementary probability and descriptive statistical tools. Distributions.
Competence acquired (at the end of the course):
Graphing and Asymptotes. Calculation of Integrals. Solving differential equations. Position of a mathematical model. Troubleshooting elementary probability. Study of statistical tables.
Skills acquired (at the end of the course):
The course provides knowledge of basic mathematics and its applications with logical rigor and conceptual.
Prerequisites - Last names A-L
Courses to be used as requirements (required and/or recommended)
Courses required:
Courses recommmended
Courses required:
Courses recommmended
Prerequisites - Last names M-Z
None
Teaching Methods - Last names A-L
Total hours of the course (including the time spent in attending lectures, seminars, private study, examinations, etc...): 300 (25x 12= 300)
Hours reserved to private study and other indivual formative activities: 204 ore
Contact hours for: Lectures (hours): 96
Contact hours for: Laboratory (hours):
Contact hours for: Laboratory-field/practice (hours):
Seminars (hours): 0
Stages: 0
Intermediate examinations: 0
Hours reserved to private study and other indivual formative activities: 204 ore
Contact hours for: Lectures (hours): 96
Contact hours for: Laboratory (hours):
Contact hours for: Laboratory-field/practice (hours):
Seminars (hours): 0
Stages: 0
Intermediate examinations: 0
Teaching Methods - Last names M-Z
Total hours of the course (including the time spent in attending lectures, seminars, private study, examinations, etc...): 300 (25x 12= 300)
Hours reserved to private study and other indivual formative activities: 204 ore
Contact hours for: Lectures (hours): 96
Contact hours for: Laboratory (hours):
Contact hours for: Laboratory-field/practice (hours):
Seminars (hours): 0
Stages: 0
Intermediate examinations: 0
Hours reserved to private study and other indivual formative activities: 204 ore
Contact hours for: Lectures (hours): 96
Contact hours for: Laboratory (hours):
Contact hours for: Laboratory-field/practice (hours):
Seminars (hours): 0
Stages: 0
Intermediate examinations: 0
Further information - Last names A-L
Frequency of lectures, practice and lab:
Lectures (two hours long) four times in the week
Teaching tools
Office hours:
Two hours per week in a fixed day and also following request.
Lectures (two hours long) four times in the week
Teaching tools
Office hours:
Two hours per week in a fixed day and also following request.
Further information - Last names M-Z
Office hours:
Two hours per week in a fixed day and also following request.
Two hours per week in a fixed day and also following request.
Type of Assessment - Last names A-L
written test and oral examination
Type of Assessment - Last names M-Z
Exam modality: written test and oral examination
Course program - Last names A-L
The real number system. The concept of function. Linear, polynomial, rational, irrational, exponential, logarithmic and trigonometric function. Sequence and their properties. Limits and continuity. The derivative and applications. The definite integral. Integration techniques. Basics of functions of several variables. Differential equations. Mathematical models in population dynamics and spread of epidemics. Elementary calculus and distributions. Basics of descriptive statistics. The course includes
Course program - Last names M-Z
The real number system. The concept of function. Linear, polynomial, rational, irrational, exponential, logarithmic and trigonometric function. Sequence and their properties. Limits and continuity. The derivative and applications. The definite integral. Integration techniques. Basics of functions of several variables. Differential equations. Mathematical models in population dynamics and spread of epidemics. Elementary calculus and distributions. Basics of descriptive statistics. The course includes both illustrative examples and exercises.