Historical background, Types, Manufacturing Methods, Functions, Typical Applications; Geosynthetic Testing, Physical, Mechanical, Construction survivability and durability testing of Geotextiles and Geogrids; Principles of Soil Reinforcement, Types of Reinforcement, Testing, Allowable loads for design (creep etc.), Elements of Design + NCMA Method, Fill Material, Detailed Design of Reinforced Soil Walls (BS 8006), Reinforced Slopes (BS 8006), Facia and Construction Methodology, Specifications, Bearing capacity Improvement, Embankments on soft soils, Basal Reinforcement – Design, Geocell – Design, Construction and Specification, IRC/MORTH Guidelines, Case Histories; Filteration and Drainage, Principles, Typical applications, Dams, French Drains, Testing, Design Principles, Specifications; Pavements and Airports; Influence of cyclic loading, Design for soft soils (unpaved) and new construction – Granular layers, GS in Bituminous Pavements – new construction and rehabilitation, Construction and specifications, Rural Road applications, Railway Tracks, Indian experiences; Natural fibre Materials, Jute and Coir Geotextiles - Products, Processes; Environmental Control, Erosion Control, Mechanics of Erosion, Methods of Control, Products, Design for various conditions, Silt Control, Land slides – Occurrence and methods of mitigation, Liners for Pounds and Canals; Engineered Landfills, Municipal Solid Waste, Hazardous Waste Landfills, Site location –MOEF Guidelines, Covers and liners, GCLs, Material aspects and, Design, construction and maintenance, the Indian Scenario
The right edge is defined by the technical and strategy corners. Product Management is best known for this edge of the triangle. This edge is Agile Development’s definition of a Product Owner. On this edge, the PM focuses on defining the overall product, details, working mechanisms, defines user stories and cases (how will a user use a feature), and guides the development team of scientists, engineers or programmers. This role owns the responsibility of defining the product, features, and evolution. Toward the strategic end the Product Owner works to define the future migration path, new features, modules and add-ons, and is responsible for both the short and long term future roadmap of the product or service. As shown on the PM Triangle titles such as Strategic Product Manager, Roadmap Architect, and Technical Strategist help define the Product Owner edge.
Market Structure; Perfect Competition, Monopoly, Oligopoly; Elements of Market Structure: Concentration, Product Differentiation, Barriers to Entry; Effect of Technology on Market Structure; Theory of Pricing; Basics, Bundling and Tying, Multipart Tariff, Peak Load Pricing, Advance and Over booking, Quality based pricing; Decision making under uncertainty; Role of Information; Asymmetric Information: Adverse Selection, Market Signaling, Contracts, Moral Hazards; Efficiency Indicators.
Overview of optical communications; Planar optical wave guides, modes and the eigenvalue equation, single-mode and multimode fiber; Group velocity and material dispersion, inter-modal and intra-modal dispersion, attenuation, pulse dispersion, fiber bandwidth, dispersion management; wavelength division multiplexing (WDM) concepts, Signal degradation, attenuation, dispersion and its compensation; Optical sources, semiconductor lasers and light emitting diodes, structure, spectral and temporal properties, modulation schemes; Photo-detectors, structure, operation, quantum efficiency, responsivity, spectral and temporal response; Detection schemes, coherent and non-coherent detection, performance analysis; WDM components, splitters, isolators, circulators, fiber Bragg gratings (FBG), Fabry-Perot and thin-film filters; Optical amplifiers, erbium doped fiber amplifiers
This graduate level course will focus on the competing definitions and paradigms of globalization, drawing from a variety of disciplines including sociology, economics, political science and culture studies. It will include discussions on global production networks, development debates, role of global governance institutions and global inequalities. In addition, the course will analyze sources, consequences and modalities of transnational migrations and related issues of identity, belonging, citizenship and diaspora, with particular attention to how definitions of gender and sexuality are reproduced, deployed and negotiated in these processes. Overall, the course is open to myriad forms of economic, social and cultural globalization in our times.
In this course students will critically read and comment on selected readings from recent scholarship focused on understanding Indian modes of thought and ways of being before the full-fledged entrenchment of British colonialism. Readings will focus on cultural transformations relating to the production of regional literatures, the interactions of multiple religious traditions, mobility of social groups and the disintegration of centralized modesof governance among others. The late-medieval/pre-modern period will be explored with a view to understand how and why India became fertile soil for colonial enterprises, and what epistemic shifts (if any) resulted in these formative encounters.
Introduction to linear algebra, (Matrices, differential equations and states), linear time invariant systems and its solutions, mulitivariate systems introduction, state space analysis of continuous systems, controllability, observability, stability with respect to state space analysis, Conversion between transfer function and state space models, Lyapnov theorem for stability, full state back control design, pole placement and control, overview of important concepts in stochastic data analysis, Kalman filters for state estimation, Discussion on Kalman filter as Best Linear Unbiased Estimate (BLUE), Introduction to Model predictive control (MPC) for linear systems with emphasis on linear quadratic control; Advanced topics based on Time criteria: Case studies with emphasis on use of Kalman filters with MPC for state estimation and control.
Fundamental concepts in stochastic systems; white noise processes; Autocorrelation function, partial autocorrelation function; stationary time series models such as AutoRegressive (AR) and Moving Average (MA) models, ARMA process, relationship between AR and MA process, Yule walkers equations; review of Fourier transform, Discrete Fourier Transform; spectral analysis, spectral theory of stationary processes, periodogram and properties, smoothed spectrum, ARMA spectral estimation, data differencing and introduction to ARIMA (AutoRegressive Integrated Moving Average) models, introduction to seasonal models, discussion on outliers and developing models in presence of outliers, brief overview of ARCH (AutoRegressive Conditional Heteroskedastic) models.
Macroscopic conduction principles, heat diffusion equation; Convection: Conservation principles, overview of differential & integral equations for the laminar and turbulent boundary layers, heat and mass transfer in laminar & turbulent external and internal boundary layers; convective heat and mass transfer at high velocities; Elements of statistical thermodynamics and quantum theory for heat transfer applications; Kinetic theory and micro/ nano fluidics; Thermal properties of solids and the size effect; Electron and Phonon Transport; Non-equilibrium energy transport in nano-structures; Fundamentals of thermal radiation; Radiative properties of nano-materials
Preliminaries: Introduction to consumer behavior, attention and perception, memory, motivations, valuation, self-conceptualization, framework of consumer decision making; Product search: Information search and sampling, processing limitations and overload, decision strategies and heuristics, contingent decision making and selection, influence of brands; Price perception: Conception of price as a stimulus, reference prices and thresholds, theories of price perception, processing price frames, judgments based on price, influence of price changes; Consumers through the lens of the econometric method: Introduction to rational choice framework, preferences, demand curves and decisions, applications of rational choice and demand; Consumers through the lens of marketing research: Introduction to marketing research, measuring pre and post purchase behavior, pricing strategies, sample insights and case studies.
Linear Algebra: Vectors in Rn; Vector subspaces of Rn; Basis of vector subspace; Systems of Linear equations; Matrices and Gauss elimination; Determinants and rank of a matrix; Abstract vector spaces, Linear transformations, Matrix of a linear transformation, Change of basis and similarity, Rank-nullity theorem; Inner product spaces, Gram-Schmidt process, Orthonormal bases; Projections and least-squares approximation; Eigenvalues and eigenvectors, Characteristic polynomials, Eigenvalues of special matrices; Multiplicity, Diagonalization, Spectral theorem, Quadratic forms. Differential Equations: Exact equations, Integrating factors and Bernoulli's equation; Orthogonal trajectories; Lipschitz condition, Picard’s theorem; Wronskians; Dimensionality of space of solutions, Abel-Liouville formula; Linear ODE’s with constant coefficients; Cauchy-Euler equations; Method of undetermined coefficients; Method of variation of parameters; Laplace transforms, Shifting theorems, Convolution theorem.