Separation Processes
Code: 106041 ECTS Credits: 6| Degree | Type | Year | Semester |
|---|---|---|---|
| 2500897 Chemical Engineering | FB | 2 | 1 |
Contact
- Name:
- Laura Prat Baiget
- Email:
- laura.prat@uab.cat
Teaching groups languages
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
Teachers
- Francisco Javier Mora Gine
Prerequisites
The subject does not officially require any prerequisites, but it is assumed that the student has completed and passed the Mathematis of the first year. It is required to have practice in differentiating and integrating one-variable functions.
Objectives and Contextualisation
It is a basic subject that introduces one of the most important mathematical tools for modeling and solving real problems that appear in engineering: vector analysis. At the end of the course, the student:
- will get familiar dealing with functions of several variables and vector fields.
- will be able to deal with curves and surfaces in space and the equations that describe them.
- will understand the meaning of the basic concepts of vector analysis.
- will learn to use the vectorial analysis tools to identify and calculate physical magnitudes.
- will understand the theorems of vectorial analysis and their use in the formulation of some physical theories.
Competences
- Apply relevant knowledge of the basic sciences, such as mathematics, chemistry, physics and biology, and the principles of economics, biochemistry, statistics and material science, to comprehend, describe and resolve typical chemical engineering problems.
- Develop personal work habits.
- Work in a team.
Learning Outcomes
- Apply the methods and basic concepts of differential and integral calculus of a variable to the description and calculation of magnitudes.
- Apply the methods for solving differential equations to the analysis of deterministic phenomena.
- Make one's own decisions.
- Work cooperatively.
Content
Vector analysis.
1. Vector functions. Curves in space. Tangent and normal vectors.
2. Functions of several variables. Curves and level surfaces. Partial derivatives Gradients and directional derivatives. Chain rule. Tangent planes. Maximum and minimum values.
3. Multiple integration. Double integrals on elementary domains. Iterated integrals. Triple integrals Applications of the double and triple integrals. Change of variables.
4. Line and surface integrals. Vector fields. Rotational and divergence. Integral lines. Theorem of Green. Theorem of divergence
Methodology
In the learning process it is fundamental the own work of the student, with the help of the professor.
The hours of class are distributed in:
Theory classes: The teacher introduces the basic concepts corresponding to the subject, showing examples of their application. The student will have to complement the explanations of the professors with the personal study.
Problem sessions: By completing sets of exercises, the comprehension and application of the concepts and tools introduced in the theory class is attained . The student will have lists of problems, a part of which will be solved in the problem classes. Students should work on the remaining ones as part of their autonomous work.
Seminars: to reach a deeper understanding of the subject the students work in group on more practical problems. Some seminars will deal with computer-aid approach to solving problems.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Activities
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Problem sessions | 15 | 0.6 | 2, 1 |
| Theory classes | 30 | 1.2 | 2, 1 |
| Type: Supervised | |||
| Seminars | 5 | 0.2 | 2, 1, 3, 4 |
| Type: Autonomous | |||
| Personal study | 30 | 1.2 | 2, 1, 3 |
| Problem solving | 64.5 | 2.58 | 2, 1, 3 |
Assessment
A continuous assessment is performed based on three controls:
a) Two written tests combining theory and problems, one P1 related to part A, another P2 related to part B.
b) A grade from the seminars.
Submissions in b) are manadatory, with no resit assesment.
If both P1, P2 have been attended, a grade Q1 is generated according to Q1=0,2·S+0,4·(P1+P2). If Q1 is at least 5, the final grade is Q1.
Students with Q1<5 and having submitted b), may attend a resit exam, with grade R.
The final grade Q2 after the resit exam is Q2=0,20·S+màx{0,4·(P1+P2),0,8·R}.
Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Mid-term Exam combining theory and problems | 40% | 2 | 0.08 | 2, 1, 3 |
| Mid-term Exam combining theory and problems | 40% | 2 | 0.08 | 2, 1, 3 |
| Seminar exams | 20% | 1.5 | 0.06 | 2, 1, 3, 4 |
Bibliography
Main:
S. L. Salas, E. Hille. Cálculo de una y varias variables. Ed. Reverté, 1994.
Cálculo Vectorial.J.E. Marsden y A.J.Tromba, Addison Wesley Longman
Software
None is needed.