Course Descriptions

HSS Elective-III

Why Teach Chemistry to Engineers? Matter-Its Properties and Measurement, Uncertainty and Significant Figures, Dimensional Analysis. Atoms and Atomic Theory, Atomic Mass and Mole Concept. Chemical Compounds, Molecular and Ionic Compounds, Composition, Oxidation States. Chemical Reactions, Stoichiometry, Reactions in Solutions, Limiting Reactant. Introduction to Reactions in Aqueous Solutions, Precipitation, Acid-Base, and Oxidation-Reduction Reactions, Titrations. Gases, Gas Laws, Ideal Gas Equation, Gases in Reactions, Mixtures of Gases, Kinetic Molecular Theory. Electrons in Atoms, Electromagnetic Radiation, Atomic Spectra, Quantum Theory, Electron Configurations. The Periodic Table and Some Atomic Properties.

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Engineering profession and its disciplines. Engineering education. Mechanical, Automotive and Mechatronics engineering programs at Işık University. Engineering ethics. Design in Engineering. Communication in engineering. Future of engineering profession.

Engineering materials and their properties. Atomic bonding and order. Crystal structures and their properties. Crystal defects and their effects on properties of materials. Solid state diffusion. Elastic and plastic deformation of materials. Phase concept and phase diagrams. Fe-Cementite phase diagram. Phase transformations and TTT Diagrams. Basic heat treatments for metals and alloys. Engineering materials: metals, polymers, ceramics and composites. Principles of corrosion and protection.

Introduction, samples, populations, and the role of probability. Sample mean, median, range and standard deviation. Graphical plots. Probability, sample space, events, Venn diagram, multiplication rule, permutation, and combination. Probability of an event, conditional probability, Bayes’ rule. Discrete and continuous data. Random variables, discrete and continuous probability distributions, joint probability distributions. Mathematical expectations. Mean, variance, covariance and correlation of random variables. Some continuous and discrete probability distributions. Normal distribution, area under the Normal Curve and its applications. Fundamental sampling distributions, central limit theorem. Estimation. Maximum likelihood estimation. Testing a statistical hypothesis. Simple linear regression and correlation coefficient.

Electrical Theory Basics. Structure of Electric Vehicles. Types of Hybrid Vehicles. Structure of Hybrid Electric Vehicles. Battery Technology. Regenerative Braking. Modeling, Analysis and Control of Electric and Hybrid Vehicle Systems

Complementary Elective-I

Data description. Text analysis. Summary and paraphrase of simplified research articles and data charts. IMRAD Summary. Critical thinking and logical argumentation skills to express an informed opinion. Presentation of information to an audience in an academic setting.

Introduction to basic IT theory and terminology. Basic skills in a word processor programs, such as MS Word to create documents, format text, apply styles. Basic skills in a spreadsheet program, such as MS Excel, to create and format spreadsheets, including the use of mathematical formulas and to summarize given data in the form of graphics.