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Manufacturing Process
"Manufacturing Processes" explores the fundamental methods and technologies used in the transformation of raw materials into finished products. The subject provides in-depth knowledge of various manufacturing techniques such as casting, forming, machining, joining, and advanced manufacturing (like additive manufacturing). It emphasizes material behavior, process selection, tool design, and quality control, equipping students with the theoretical and practical understanding required to optimize production systems in mechanical and industrial engineering domains
Computer Aided Design & Analysis
This course introduces students to the fundamentals and advanced techniques of computer-aided design (CAD) and analysis. It focuses on the geometric modeling of components, assemblies, and systems using modern CAD software. Emphasis is placed on the integration of Finite Element Analysis (FEA) tools for stress, thermal, and dynamic simulations to predict real-world behavior of mechanical parts and assemblies. Students will gain practical skills in 2D drafting, 3D modeling, meshing, and result interpretation, preparing them for design validation and optimization in engineering applications.
Mathematics III (PDE, Probability & Statistics)
This course equips engineering students with essential mathematical tools for modeling and analyzing complex physical systems. It is divided into three core modules: Partial Differential Equations (PDEs): Students learn to formulate and solve first and second-order PDEs, classify them, and apply methods such as D’Alembert’s solution, Duhamel’s principle, and separation of variables. Applications include heat conduction, wave propagation, and vibrational problems in mechanical and thermal systems. Probability Theory: This section introduces foundational concepts like random variables, probability distributions, expectation, and moments. It also covers key discrete and continuous distributions relevant to real-world data modeling. Statistics: Focused on data interpretation, students explore sampling, estimation, hypothesis testing, correlation, and regression analysis—crucial for engineering applications involving uncertainty and decision-making under variability. Together, these modules provide the analytical backbone needed for advanced subjects in fluid dynamics, thermodynamics, signal processing, and beyond.
Applied Thermodynamics
Applied Thermodynamics builds upon the foundational principles of classical thermodynamics to analyze real-world engineering systems involving energy conversion and fluid flow. The course focuses on the thermodynamic analysis of power-producing and power-consuming devices such as internal combustion engines, gas turbines, steam power plants, compressors, and nozzles. Emphasis is placed on combustion processes, the behavior of pure substances and ideal gases, property relations, and the application of the first and second laws to open and closed systems. Key topics include fuel types and combustion stoichiometry, energy balances in reacting systems, entropy and availability analysis, psychrometrics, and thermodynamic cycles such as Otto, Diesel, Rankine, and Brayton. The course also introduces the principles of chemical equilibrium and the use of real gas models where appropriate. Through theoretical derivations, practical examples, and numerical problem-solving, students gain the ability to evaluate and optimize thermal systems for efficiency and performance.
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