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Code CHEM 202
Term 201602
Title Kinetics of Materials
Faculty Faculty of Engineering and Natural Sciences
Subject Chemistry(CHEM)
SU Credit 4
ECTS Credit 7.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Yuda Yurum -yyurum@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
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Mode of Delivery Formal lecture,Field work/field study/on-the-job,Laboratory
Planned Learning Activities Interactive,Learner centered,Communicative,Discussion based learning,Task based learning,Case Study
Content

Molecular motion in gases, motion in liquids, diffusion, empirical chemical kinetics, the rate laws, chain reaction kinetics, polymerization kinetics, catalysis, reactive encounters, activated complex theory, dynamics of molecular colision, the growth and structure of solid surfaces, adsorption, catalytic activitiy at surfaces, processes at electrodes, electrochemical processes, power production and corrosion.Laboratory experiments related to the topics in the course.

Learning Outcome

Outcome -1:Describe the origin of empirical kinetics and identify the order of simple reaction, and to rate laws
Identify and discuss main features of simple collision theory
Describe the concept of potential energy surfaces and be able to explain the main features of them
Estimate the comprehension of elementary reaction kinetics and reaction mechanisms, and appreciate the differences between overall and elementary reactions
Identify the steady state and rate determining step approximations
Describe the kinetic principles underlying complex reactions (e.g., polymers)
Describe the kinetic principles underlying photochemical reactions
Adopt a systematic approach to identify the order of a simple reaction, and calculate the individual and overall orders, rate constants and activation energies of Arrhenius reactions
Develop an ability to describe and undertake appropriate experiments to determine the rate laws and activation energies of simple reactions
Use the main features of collision theory and apply it to calculate the reaction kinetic parameters for simple systems
Apply the steady state and rate determining step approximations to more complicated systems, such as Lindemann mechanism, enzymatic systems and solution phase systems (including understanding diffusion and activation controlled reactions)
Demonstrate proficiency in assembling basic laboratory glassware (m) Perform fundamental laboratory techniques
Make and record relevant experimental observations, and interpret the results
Work with other students in small groups to complete clearly defined tasks
Adopt a systematic approach to problem solving

Programme Outcomes
 
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 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice.
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 Communicate effectively in Turkish and English by oral, written, graphical and technological means.
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.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems.
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose.
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.
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.
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas.
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development.
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.
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.
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.
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.
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.
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa.
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.
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy.
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.
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.
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.
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 40
Assignment 10
Group Project 20