Code ENS 202
Term 201801
Title Thermodynamics
Faculty Faculty of Engineering and Natural Sciences
Subject Engineering Sciences(ENS)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Gozde ?nce -gozdeince@sabanciuniv.edu,
Language of Instruction English
Prerequisites
(only for SU students)
NS102 MATH101 NS101 MATH102
Mode of Delivery Formal lecture,On-line task/distance,Recitation,Group tutorial
Planned Learning Activities Interactive,Learner centered,Communicative,Discussion based learning,Task based learning,Guided discovery
Content

Fundamental concepts and mathematical tools ; thermal equilibrium; Zeroth Law and definition of temperature; equations of state; First and Second Laws; thermodynamic potentials (enthalpy, Helmholtz, Gibbs) and the Maxwell relations; first order phase transitions; critical phenomena; Third Law, negative temperatures; introduction to statistical mechanics. Also part of the "core course" pools for the BIO, MAT, ME,TE degree programs.

Objective

To equip the students with a basic understanding of equilibrium, both from a macroscopic and a microscopic viewpoint, so that they can (i) perform the energy balance for a system and analyze the energy transfer processes in the system; (ii) interrelate various thermodynamic functions so that hard-to-measure properties may be determined through the measurable ones; (iii) develop a basic understanding of phase behavior.

Learning Outcome

State and explain general concepts used in thermodynamics including the system and its surroundings, mechanisms of energy transfer; state versus path function.
Interpret the basic assumptions of the ideal gas law and illustrate how the van der Waals equation of state rectifies these assumptions to lead to a gas <-> liquid phase transition behavior and the critical point.
Apply the first law of thermodynamics by performing a detailed balance of energy transfer for a variety of real systems involving thermal energy.
Calculate efficiency in energy conversion;
Distinguish between thermodynamic potentials, their first derivatives, including chemical potential, and second derivatives.
Using published data, such as heat capacity, calculate the internal energy, enthalpy, entropy, Gibbs and Helmholtz free energy changes of a system with respect to a reference state.
Apply Maxwell?s Relations to quantify non-measurable thermodynamic properties;
Identify reversibility and spontaneity in changes towards equilibrium.
Describe the physical, structural, and thermodynamic properties of equilibrium phases and phase transformations in single and two-component systems
Apply the Clausius-Clapeyron equation to construct the equilibrium phase diagram in a single-component system
Determine the changes in thermodynamic properties in ideal, non-ideal, dilute, and in regular solutions
Apply the Gibbs Phase Rule in order to set up an engineering system;
Identify and interpret a simple eutectic diagram; identify miscible versus immiscible systems; define the spinodal line
Apply the Lever Rule to determine the phase composition in a multi-phase field;

Programme Outcomes

 Common Outcomes For All Programs 1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2 2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 3 3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4 4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4 5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4 Common Outcomes ForFaculty of Eng. & Natural Sci. 1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5 2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5 3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5 4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 3 5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3 6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2 7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 4 Materials Science and Nano Engineering Program Outcomes Required Courses 1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 5 2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 4 3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 5 Mechatronics Engineering Program Outcomes Core Electives 1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 5 2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 3 Molecular Biology, Genetics and Bioengineering Program Outcomes Core Electives 1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 4 2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 5 Industrial Engineering Program Outcomes Area Electives 1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 3 2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 4 3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 2 Electronics Engineering Program Outcomes Area Electives 1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 5 2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 3
 Assessment Methods and Criteria Percentage (%) Final 20 Midterm 40 Exam 10 Assignment 10 Participation 10 Homework 10
 Recommended or Required Reading Textbook Thermodynamics, Statistical Thermodynamics & Kinetics, 3/EThomas Engel, Philip ReidISBN-13: 9781292020679http://catalogue.pearsoned.co.uk/product?isbn=9781292020679 Readings -- Thermodynamics of Materials, Vol. I by D.V. Ragone (ISBN 0-471-30885-4)-- Physical Chemistry by Atkins & de Paula -- Thermodynamics by Cengel & Boles Course Web https://sucourse.sabanciuniv.edu/portal/site/ENS202-201601