13E081OPM - Selected topics in Mathematics 2

Course specification
Course title Selected topics in Mathematics 2
Acronym 13E081OPM
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 2.0 Status elective
    Condition Mathematics 1
    The goal Introduce students with some mathematical notions and facts which are an extension of knowledge acquired in Mathematics 1 and 2. Capacitate students to use the mathematical apparatus in other courses.
    The outcome Student will easily recognize problems inherent in their technical courses and apply acquired knowledge, especially to solve problems of differential and integral calculus. Student will be capable to analyse basic features of functions in mathematical modeling of different problems. Students get a mathematical basis and also practical hints in treating problems within the scope of their discipline.
    Contents of lectures First order predicate calculus. Metric spaces and convergence. Differential equations : various types and applications. Difference equations and applications. Applications of differential calculus and polinomial analitical properties to numerical equations solving. Some computer tools and packages for integral calculus and other mathematical fields. Graphs and matrices: applications to solving systems of linear algebraic equations.
    Contents of exercises Practical assignments related to the theoretical component (lectures). Through examples, tasks and problems student learns how to apply theorems and basic concepts that are learnt through theoretical contents.
    1. Cvetković D., Lacković I., Merkle M., Radosavljević Z., Simić S., Vasić P., Matematika I - Algebra VIII edition, Akademska misao, Beograd, 2004.
    2. Vasić P., Iričanin B., Jovanović M., Malešević B., Madžarević T., Mihailović B., Radosavljević Z., Simić S., Cvetković D., Collection of problems I, II; Akademska misao , Beograd, 2004.
    3. Merkle M.: Mathematical Analysis - Theory and thousands of problems - Techniques for Students, Akademska misao, Beograd 2005.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    1 1
    Methods of teaching Lectures, tutorials and discussions.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 25 Test paper 50
    Practical lessons Oral examination
    Seminars 25