IT in Building Science
International Institute of Information Technology, Hyderabad
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Mathematical Modelling & Analysis

  • Ordinary differential equations
  • Fourier series and Fourier transforms
  • Laplace transform
  • Linear algebra
  • Eigen value problems
Tools: Matlab

Statistics, Probability Models and Optimization

  • Probability
  • Random variables
  • Random process
  • Hypothesis testing
  • Linear statistical models
  • Linear / non-linear programming

Object Oriented Programming
Object and classes, data abstraction, polymorphism, inheritance and other OOP concepts

Data Structures and Algorithms
Arrays, Lists, Stacks, Queues, Trees and Sorting algorithms including implementations

Databases
Database design process, data models, relational and distributed database system, SQL, normalization, file structures and indexing, query processing and optimization, transaction management, concurrency control and recovery

Web Technologies
Combining different software technologies to produce working systems rapidly. Use of java to glue together different utilities, technologies and packages, elements of database programming, network programming, web programming, GUIs

Electives in IT
In addition to the foundation courses, the students are encouraged to take advanced courses in IT

  • Computer Networks
  • Distributed Database Management Systems
  • Computer Graphics
  • Software Engineering

Computer Methods for Structural Design
Advanced design of structures using generic algorithms:

  • Limit State theory of reinforced concrete
  • Design of beams, columns, slabs for bending & shear
  • Design of building frames
  • Design of foundation
  • Development of algorithms for computer aided design

Linear Analysis of Structures
Analysis of structures covering major areas related to:

  • Analysis of plane and space trusses and frames.
  • Direct stiffness method
  • Developing computer programmes for analysis of structures.
Tools: STAAD, CATIA, ANSYS

Finite Element Analysis

  • Discretization by finite elements
  • Element stiffness matrix
  • Derivation by energy methods
  • Assembly of elements
  • One dimensional elements
  • 2D Elements (Triangular and quadrilateral)
  • Isoparametric formulations
  • Gauss quadrature
  • Solutions of problems in theory of elasticity
  • Eigenvalue problems & Time varying problems
Tools: Matlab, ANSYS

Structural Dynamics by FEM

  • Discrete systems - single degree of freedom and multi degree of freedom
  • Modal analysis
  • Structural response of frames to time varying loads
  • Earthquake Resistant Buildings

Illumination Engineering
Theoretical foundation and computational approaches in building illumination:

  • Light and vision
  • Light sources and their classification
  • Lighting calculations using zonal cavity method and point-by-point method
  • Lighting design
  • Lighting simulation
  • Day lighting
  • Light control
Tools: Lumen Micro, Radiance, Rayfront

Heating, Ventilation & Air Conditioning

  • Heat transfer
  • Thermal insulation
  • Thermal comfort
  • Climatology
  • Heat gain/losses through building components
  • Thermal body
  • Ventilation
  • Air conditioning
  • Solar passive concepts
  • Thermal simulation of buildings
  • Calculation of heat loads
  • HVAC Equipment

Functional Efficiency and Services
Design optimization for minimization of energy loads. Acoustics, fire protection, elevators, wiring, access control and indoor air quality
Tools : Power DOE, DOE, Energy Plus, GenOpt, Fire Dynamics Simulation

Integrated Building Design

  • This project based course is in response to the increasing demands from the building industry for a more integrated approach to education as a means of securing closer and more effective collaboration among building design professionals.
  • The course provides the opportunity for graduate building design professionals (architectural, Structural and management) to work in multidisciplinary teams in an integrated design studio environment.
  • The course focuses on the application of advanced design methods, strategies and technologies, the categorical imperative to design for sustainability, and professional practice and management issues.

 

Computer Aided Design and Visualization
Basic concepts of graphics, hands on practice on standard packages like Architectural Desktop 2000i, 3D Studio Max and CATIA for 3D views and walkthroughs as applied to the buildings.

Building Automation

  • Control theory
  • Sensor technology
  • Fuzzy Logic concepts and applications
  • Wireless sensors
  • Electronic circuits
  • BACnet, Lon works, X-10 protocols.
Tools: Matlab

 

Intelligent Buildings

  • Applications of artificial intelligence techniques in buildings to improve building performance and comfort.
  • Use of techniques like Fuzzy Logic, Neural Networks, and Genetic Algorithms to make intelligent systems.
  • Hardware implementation and study of such systems in laboratory
Tools: Matlab