Material and Energy Balances (5 ECTS)

Code: TX00EC55-3001

General information

Enrollment: 03.05.2021 - 06.06.2021; Registration for the implementation has ended.

Timing: 23.08.2021 - 17.12.2021; Implementation has ended.

Number of ECTS credits allocated: 5 ECTS

Mode of delivery: On-campus

Unit: (2019-2024) School of Smart and Clean Solutions

Teaching languages: Finnish

Seats: 0 - 45

Degree programmes: Biotechnology and Chemical Engineering

Teachers: Eija Koriseva; Timo Laitinen

Groups: TXM20S1
Bio- ja kemiantekniikan tutkinto-ohjelma päivä

Course: TX00EC55

No reservations found for implementation TX00EC55-3001!

Objective

On completion of the course the student will be able to solve material and energy balances.

The course objectives are to acquire such a level of knowledge and skills in equations, matrices and vectors that are required in other studies in the student’s own field of specialization. The course will also enhance the student’s computer aided computational skills.

Content

1. Material and energy balances
2. Solving pairs of equations
3. Matrix algebra
4. Solving systems of linear equations
5. Determinedness of systems of linear equations
6. Vector algebra
7. Computer aided mathematics

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student is able to define process material and energy balance. The student is able to solve pairs of equations and elementary matrix computations.

Assessment criteria, good (3)

The student is able to define process material and energy balance. The student is able to solve pairs of equations and elementary matrix computations. The student is able to solve also nonlinear pairs of equations.

Assessment criteria, excellent (5)

The student is able to define process material and energy balance. The student is able to define material balance and is able to define system in matrix form and solve them using some mathematical software. The student is able to apply systems of linear equations to at least one type of major application in the student’s own field of specialization etc. The student is able to interpret data and models from a vectorial point of view.

Assessment criteria, approved/failed