
Course unit
MATEMATICS AND APPLIED INFORMATICS
AVP7077917, A.A. 2019/20
Information concerning the students who enrolled in A.Y. 2019/20
Modules of the integrated course unit
Course unit organization
Period 

Year 

Teaching method 
frontal 
Prerequisites:

Knowledges of elementary algebra (common denominator, algebraic expressions, simplification), simple and quadratic equations, and simple inequalities are prerequisites of the Mathematics and Applied Informatics course. 
Target skills and knowledge:

On successful completion of the course a student will be able to:
MATHEMATICS
1) understand the basic concepts of mathematical analysis in a real variable;
2) carry out a study of a function in one variable;
3) understand the basic elements of integral calculus;
4) identify maxima and minima of a function in two variables.
APPLIED INFORMATICS
1) use the exploratory data analysis to summarize real/experimental information;
2) interpret the results of statistical analysis, also in terms of biological meaning;
3) use the main features of a spreadsheet (Excel) to manage and analyse the data, and of PowerPoint to present the results using, for example, tables and figures. 
Examination methods:

The successful completion of the Mathematics and Applied Informatics course is achieved after:
 completion of a written exam for the Mathematics module;
 completion of a written exam for the Applied Informatics module.
Both the Mathematics and Applied Informatics examinations are based on questions and exercises. In order to provide the student with the opportunity to measure his/her preparation level, an optional midsemester test will be scheduled. The date of the test is planned in agreement with lecturers holding courses in the first semester of the firs year. A positive outcome of the test does not exempt the student from the final exam. Examples of midsemester tests and final exams used in previous academic years will be provided.
Lecturers of the course will assess the two modules and the final score will be the arithmetic mean of the outcomes of the two modules. 
Assessment criteria:

Assessment criteria to check the preparation of the student are:
1) knowledge of topics presented during classes;
2) ability of using the appropriate terminology;
3) ability of using the appropriate tools and methodologies to solve specific problems. 

