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13E081PM1 - Practicum - Mathematics 1

Course specification
Course title Practicum - Mathematics 1
Acronym 13E081PM1
Study programme Electrical Engineering and Computing
Module
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 2.0 Status elective
    Condition
    The goal Introduce students, partly through recapitulation of secondary school curriculum, to most important elementary mathematical notions and facts, which make up necessary base for further studying of mathematics. Capacitate students to follow Mathematics 1 and Mathematics 2 courses, and the use the mathematical apparatus in other first year 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.
    Contents
    URL to the subject page https://matematika2.etf.bg.ac.rs/pm1.html
    Contents of lectures Elementary functions. Differential calculus (geometric meaning of derivative, derivatives of elementary functions, rules of differentiation). Integral calculus (primitive function, table of indefinite integrals, basic methods of integration). Elements of mathematical logic (proposition algebra, predicate calculus). Set of numbers. Complex numbers. Functions. Limits. Differential equations.
    Contents of exercises Practical assignments related to the theoretical component (lectures). Computer lab assignments: use and applications of mathematical software packages.
    Literature
    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 (exercises with solving problems), homeworks and discussions.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 70
    Practical lessons 0 Oral examination 0
    Projects
    Colloquia 0
    Seminars 30