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22D105 - Numerical Methods in Chemical Engineering

Course specification
Course titleNumerical Methods in Chemical Engineering
Acronym22D105
Study programmeBiochemical Engineering and Biotechnology,Chemical Engineering
Module
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB4.0Status
    ConditionОблик условљености
    The goalThe objective of the course is to introduce the modern numerical methods to the students, thus enabling efficient solving of numerical problems in the field of chemical engineering.
    The outcomeAfter the course, the student is capable of using modern numerical methods and their implementation in industrial and real chemical engineering problems.
    Contents
    Contents of lecturesGenetic (evolutionary) algorithms. Neural networks. Оptimization. Еxcel. Matlab. Python.
    Contents of exercisesOptimization algorithms and computer software application in solving practical chemical engineering problems.
    Literature
    1. Jovanović, J.D., Grozdanić, D.K., Programiranje sa numeričkim metodama, TМF, Beograd 2017.
    2. Nagar S., Introduction to Python for Engineers and Scientists, Apress 2018.
    3. Gerald,C.F.,Wheatley,P.O., Applied Numerical Analysis, Addison-Wesley, Reading, Mass. 1984.
    4. Chang,H.-Y.,Over,I.E., Selected Numerical Methods and Computer Programs for Chemical Engineers, Sterling Swift, Manchaca, Tex. 1981.
    Number of hours per week during the semester/trimester/year
    LecturesExercisesOTCStudy and ResearchOther classes
    11
    Methods of teachingLectures (1h weakly) Computer exercises (1h weakly)
    Knowledge score (maximum points 100)
    Pre obligationsPointsFinal examPoints
    Activites during lecturesTest paper
    Practical lessons30Oral examination
    Projects
    Colloquia
    Seminars