22D105 - Numerical Methods in Chemical Engineering
Course specification | ||||
---|---|---|---|---|
Course title | Numerical Methods in Chemical Engineering | |||
Acronym | 22D105 | |||
Study programme | Biochemical Engineering and Biotechnology,Chemical Engineering | |||
Module | ||||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 4.0 | Status | ||
Condition | Облик условљености | |||
The goal | The 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 outcome | After the course, the student is capable of using modern numerical methods and their implementation in industrial and real chemical engineering problems. | |||
Contents | ||||
Contents of lectures | Genetic (evolutionary) algorithms. Neural networks. Оptimization. Еxcel. Matlab. Python. | |||
Contents of exercises | Optimization algorithms and computer software application in solving practical chemical engineering problems. | |||
Literature | ||||
| ||||
Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
1 | 1 | |||
Methods of teaching | Lectures (1h weakly) Computer exercises (1h weakly) | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | |||
Practical lessons | 30 | Oral examination | ||
Projects | ||||
Colloquia | ||||
Seminars |