Basics of Thermodynamics (3 cr)
Code: TE00CI65-3002
General information
- Enrollment
-
04.08.2025 - 21.08.2025
Registration for introductions has not started yet.
- Timing
-
25.08.2025 - 19.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- Finnish
- Seats
- 20 - 40
- Degree programmes
- Bachelor's Degree Programme in Energy and Environmental Technology
Evaluation scale
0-5
Objective
The purpose of the course
You will learn the basics of thermodynamics which are required to understand energy production and analysis of closed systems. In addition, you will learn logical problem solving.
Eur-ACE competences
PRACTICAL APPLICATIONS OF THE TECHNOLOGY
You have the ability to identify, formulate and solve thermodynamic problems related to closed systems. You know how to use well-established analytical and computational methods suitable for the situation.
KNOWLEDGE AND UNDERSTANDING
Your knowledge and understanding of the basics of thermodynamics of closed systems is at the level necessary to achieve the other learning objectives of the Energy and Environmental Engineering degree program.
Learning outcome
After completing this course you are able to identify the basic principles of thermodynamics and solve simple problems regarding thermodynamics of closed systems.
Content
The state postulate, different forms of energy, the first law of thermodynamics, heat, work, energy balance, energy conversion efficiencies, property tables, phase changes, ideal gas processes, closed system processes and specific heat capacities.
Materials
The course uses videos and pdf lecture material made by the teacher.
The course material is based on the following book:
Y. A. Cengel & M.A. Boles, Thermodynamics, An Engineering Approach (8th edition with SI units) [other editions are okay as well]
Teaching methods
The course uses the flipped classroom method. The students familiarize themselves with the material in advance and the questions arising from the material and exercises are discussed during the teaching sessions.
Exam schedules
The schedule for the exams will be announced during the first lecture.
Student workload
Lectures - 10 h
Final exam - 3 h
Self-study - 68 h
Assessment criteria, satisfactory (1)
Grade 1
You are able to identify the basic principles of the course subjects and the models used to describe the physical systems. You are able to solve simple problems related to the course subjects. You are able to read charts and tables. Your solutions may contain some mistakes.
Grade 2
You are able to identify the basic principles of the course subjects and the models used to describe the physical systems. You are able to solve basic problems related to the course subjects by using examples. You are able to read charts and tables. Your solutions may contain some mistakes.
Assessment criteria, good (3)
Grade 3
You undestand the basic principles of the course subjects and the models used to describe the physical systems. You are able to solve basic problems related to the course subjects. You are able to read and produce charts and tables. Your solutions may contain some mistakes.
Grade 4
You undestand the basic principles of the course subjects and the models used to describe the physical systems. You are able to solve challenging problems related to the course subjects. You are able to read and produce charts and tables. Most of your solutions don't have any mistakes.
Assessment criteria, excellent (5)
Grade 5
You undestand the basic principles of the course subjects and the models used to describe the physical systems. You are able to solve challenging problems related to the course subjects. You are able to read and produce charts and tables. Are are able to estimate the suitability of the used models for the problems at hand. Your solutions contain only few small careless mistakes.
Qualifications
The basic knowledge of mechanics, fluid mechanics, heat transfer mechanisms, elementary functions, equation solving and linear regression are required.
Further information
The course is evaluated on the basis of exercises and final exam.
The first assignment of the course must be completed within three weeks of the start of course. Those who do not complete the task will be removed from the course.