| NAME OF THE COURSE |
Mathematical Tools in Chemical Engineering |
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Code |
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Course teacher |
Prof Davor Rušić |
Credits (ECTS) |
4.0 |
|
Associate teachers |
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Type of instruction (number of hours) |
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Status of the course |
Elective |
Percentage of application of e-learning |
0 % |
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| COURSE DESCRIPTION |
Course objectives |
To familiarize students with the mathematical tools and their meaning in chemistry and chemical engineering. |
Course enrolment requirements and entry competences required for the course |
|
Learning outcomes expected at the level of the course (4 to 10 learning outcomes) |
To analyze the problem, conduct calculations, to conclude the possibilities of a mathematics software program used. |
Course content broken down in detail by weekly class schedule (syllabus) |
Week 1: Convert text from Word into MathCad and editing text in this tool.
Week 2: Introduction to mathematical tools and application of text from MathCad
Week 3: Data input and graphical display
Week 4: 2D graphics
Week 5: 3D Graphics
Week 7: Mathematical functions and zero point
Week 8: First colloquium
Week 9: The intersection of the curve
Week 10: Derivatives and integrals
Week 11: Matrix algebra
Week 12: Equations
Week 13: The flow function
Week 14: A correlational-regression analysis
Week 15: Second colloquium
Exercises:
Week 1: Convert text from Word into MathCad and editing text in this tool.
Week 2: Introduction to mathematical tools and application of text from MathCad
Week 3: Data input and graphical display
Week 4: 2D graphics
Week 5: 3D Graphics
Week 7: Mathematical functions and zero point
Week 8: First colloquium
Week 9: The intersection of the curve
Week 10: Derivatives and integrals
Week 11: Matrix algebra
Week 12: Equations
Week 13: The flow function
Week 14: A correlational-regression analysis
Week 15: Second colloquium |
Format of instruction: |
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Student responsibilities |
Student responsibilities: Regular attendance and active participation at lectures, seminars and exercises |
Screening student work (name the proportion of ECTS credits for eachactivity so that the total number of ECTS credits is equal to the ECTS value of the course): |
Class attendance |
2.0 |
Research |
0.0 |
Practical training |
0.0 |
Experimental work |
1.0 |
Report |
0.0 |
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Essay |
0.0 |
Seminar essay |
0.0 |
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Tests |
0.0 |
Oral exam |
0.0 |
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Written exam |
1.0 |
Project |
0.0 |
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Grading and evaluating student work in class and at the final exam |
Grading and evaluating student work in class and at the final exam
A student can pass a part or the entire exam by taking two partial tests during the semester. Students who do not pass the partial exams have to take an exam in the regular examination term. During the examination terms students take written and oral exam.
Scoring: <55% insufficient;55-66% sufficient (2); 67-79% good (3); 80-92% very good (4); 93-100% excellent (5) |
Required literature (available in the library and via other media) |
Title |
Number of copies in the library |
Availability via other media |
D. Rušić, E. Bacci, Matematički alati |
0 |
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Optional literature (at the time of submission of study programme proposal) |
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Quality assurance methods that ensure the acquisition of exit competences |
Quality assurance methods that ensure the acquisition of exit competences:
Quality of the teaching and learning, monitored at the level of the
(1) teachers, accepting suggestions of students and colleagues, and
(2) faculty, conducting surveys of students on teaching quality. |
Other (as the proposer wishes to add) |
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