Teaching

Course Contents:

1. Introduction; image formats and statistics; Earth Engine and JS overview

2. Band correlation/covariance, image enhancements and filtering

3. Spectral transformations and band combinations 

4. Clouds, clouds, and even more clouds; radiance and reflectance in the atmosphere and on the ground

5. Unsupervised classification

6. Supervised classification

7. Machine learning & accuracy assessment

8. Change detection and temporal compositing

9. Time series analysis and trend detection

Course Contents:

1. Overview of pc operating systems

2. An overview of Microsoft Word, tools of formatting and editing word documents

3. An overview of Microsoft Excel, entering, editing and managing data, formatting and data analysis, mathematical computations: general formula, building and editing charts

4. Application of power point 

Course Contents:

1. Town and country planning: Definition, Characteristics of successful planning Rural – Urban functional relation: Describing the relation

2. Different zones, Major land use component of a town: CBD, Residential area, Industrial area, Open space, Urban fringe, Transport system

3. Basic principles of land-use planning: Introduction, Main objectives of urban planning

4. Basic principles of Transportation system: Transportation Linkage, Mobility vs Accessibility

5. Town Centre: Definition and examples, Function of a town Centre, Land uses in central area, Form/ shape of town Centre, Objectives of planning a town Centre, Basic requirements

6. Principles of designing a town: Principles, things to consider, rules Spatial relationship of different land uses in Town Centre: Broad land use groups, Relationship of various land uses Modern concept of designing the town center: Inherent problems, designing as precinct, two level and multi-level form

7. Urban modeling for planning support: Basic land use modeling concepts, Land use allocation vs transformation model, Problems and prospects, Land use modeling cellular automata model, Agent based model, Main characteristics, components, Examples

8. Urban planning and sustainable development: Concepts of sustainable development, Urban planning and sustainable development, Local level planning and sustainable development

9. Residential Neighborhood Planning: Concepts and purpose, Aims and objectives of neighborhood planning, Size of the neighborhood, Density standards of a residential area

10. The road network and concept of environmental area, Principles of planning pedestrian pathway system

11. Industrial location policy: Need for policy, Classification of industry, Reasons for concentration of industry, Advantage and disadvantages of concentration, Advantage and disadvantages of dispersion, Needs of industry, Means to control location of industry

12. Open space: Concepts of open space, Classification of open space, Open space standards

13. Commercial and employment center: Types of commercial and employment land use, Types of activity centers, the plan making process for employment and commercial center, Space requirement

14. Shopping Center: Definition, type, class, steps for shopping center development

15. Selected terms in urban planning composition: Urban planning concept, City image, Height level, Skyline, Silhouette, Veduta, Urban axis, View axis, protected view and view horizon, View-prominent place, Target point of view, Scale and proportions, Gradation, contrast and stress

16. Application of basic principles and rules of urban planning composition: Perception of the territory, spatial analysis, spatial design

Course Contents:

1. Introduction to Computer Based Statistical Analysis: Introduction to computer aided software, basic structure of the Software e.g. SPSS, variable declaration, rules for variable declaration, Open and Save files, Conversion of database from one format to another

2. Database Preparation: Database preparation basics, Data Entry, Coding and recoding, compute, sorting, ranking, splitting, merging, select cases etc.

3. Database management: elimination data redundancy, linking database, data query: making query, compound and complex query

4. Frequency Distribution: Introduction and purpose of the analysis, Generation of Frequency distribution, custom table, reports and associated statistics e.g. mean, median, mode, variance, standard deviation

5. Cross Tabulation: Introduction, Cross tabulation, exact tests, Chi-square and associated statistics e.g. Phi and Cramer’s V, Cell display, Input-Output Analysis Formatting, Reports

6. Missing values and multiple responses: Working with missing values, multiple response, reliability analysis Hypothesis Testing: Hypothesis testing (One sample T-test, Paired Sample T-test, Independent T-test and ANOVA)

7. Correlation and Regression: Methods of Correlation and interpretation, Factor Analysis/Principal Component Analysis (PCA), Coefficients, Model summary 

8. Non-parametric Test

9. Charts and Graphs: Bar, Pie, Box-plot, Scatter plot, Histogram, P-P plot, Q-Q plot

10. Working with outputs

Course Contents:

1. Fundamental concept on zoning and FAR: Techniques for regulating land use, calculate floor areas and building height; Use zoning practice in Bangladesh: Zoning ordinances enactment and amendment, meeting obligation of municipalities; Height zoning, Density zoning: Practice in worldwide

2. Introductory concept on land use and land classification process: Perspectives of land use analysis; Information required for land use planning and land classification plan: process of analysis, components of land classification plan, sequence of land use plan making process

3. Land use classification system in Bangladesh: procedure, hierarchy and categories

4. Urban Renewal: Basic concepts, methods, cause and consequent approaches

5. Development of management plan: identifying components, function and process

6. Structure plan, Local plan, Action plan, Subject plan, Master plan: Form, process, analysis, interpretation and preparing

7. Urban growth, smart growth and urban sprawl: Types, reasons, advantage and disadvantage

8. Smart City: Concept, components, necessity, path to smart city

9. Models of urban structure: Concentric zone theory, sector theory, multiple nuclei theory, garden city, vertical city etc.

10. Urban development: Challenges, procedure to choose urban pattern, projection of urban land requirements, address informality, integrating informal settlements within city, urban development plan of CDA

11. Urban spatial structure: Preferences, promoting mix land use

12. Residential Area Plan Making Process: Functions, design concepts: neo-traditional concepts, Clarence Perry, Radburn, TOD concept, Suburban neighborhood model, locational requirement, suitability analysis, space requirements, holding capacity, local support facilities, synthesizing residential area design

13. Commercial Area Plan Making Process: Land use associated with commercial and employment center, commercial area plan making process, prerequisite for selecting site, computing future space

14. Special area planning: Industrial parks, Airport, Metro and Heritage site etc.

15. Concepts of conservation and preservation, prerequisites, decision support tools, commonly experienced problems, political, institutional framework

16. Land Development: Concept, process, examples, pros and cons of site and services scheme, slum, squatter upgrading, incremental development, guided land development, land sharing, land readjustment, land banking, land ceiling, excess condemnation

17. Compact development: form, structure, relationships

18. Sustainable city planning techniques: UNDP goal, path to achieve goal, concept on resilience of cities, climate change adaptation for cities, planning techniques for combating extreme events

Course Contents:

1. Zoning Regulation: Identifying fundamental concept of zoning and implementing in a real scale project area

2. Land use analysis: Analysis can be done for land use influence on commercial, residential and communication network and vice versa; Land development: Projects related to urban renewal, slum renewal, land readjustment etc.

3. Assessing quality of urban environment: built environment and livelihood encompassing it can be analyzed

4. Master Plan Preparation: For an arbitrary urban area, peri-urban area or a locality

5. Commercial Area Plan: New commercial land preparation, Service area determination

6. Sustainable Development: Making sustainable urban form concept a reality through 3D model with justifications

Course Contents:

1. Concept of remote sensing: Definition, principle of remote sensing and its measurement 

2. Instrument, remote sensing processes (statement of the problem, data collection, data to information conversion and information presentation), types of remote sensing systems/sensors, different resolutions of remote sensing systems/ sensors (spatial, spectral, temporal and radiometric resolution), concept of swath and nadir, remote sensing application, advantage and limitation

3. Electromagnetic radiation principles

4. Electromagnetic radiation models, atmospheric energy-matter interaction, terrain energy-matter interactions, energy-matter interaction at sensor

5. Element of visual interpretation: Concept, why it is a powerful scientific tools, elements and method of visual interpretation

6. Digital image processing

7. Remote sensing platforms: Sensor characteristics, advantage, disadvantage

8. Applications of Landsat, GOES, ATLAS, AMS, HRV, IRS, ASTER, Quick Bird, IKONOS, OrbView, ADS-40, MODIS, AVIRIS

9. LIDAR remote sensing: Basic concept, advantages and applications

10. Aerial photography and platform: History of aerial photography and platform, vantage point, cameras, filters and film

11. Photogrammetry: Development of photogrammetry, classification of photogrammetry, photogrammetry processes, geometry of aerial photographs, scale and height measurement on single vertical aerial photographs

12. Stereoscopic measurement of object height or terrain elevation, digital elevation model, orthophotos and planimetric features

13. Use of deep learning models for object based image classification and analysis

Course Contents:

1. Case studies in transportation policy and planning

2. Forecasting travel demand: collection of data, developing and calibrating a model

3. Analysis of transportation facilities and system performance

4. Analysis/ preparation of a local transport plan

5. Circulation and formulation of plan along with policy outlines

6. Development of transport planning and design options

Course Contents:

1. Hilly Zones of Bangladesh: Definition, Historical perspective of Hilly zones of Bangladesh

2. Current Physical scenario of Hilly Zones of Bangladesh: Flora (Type/Location), Fauna (Type/Location), and geological (Soil and minerals – Types and Location)

3. Human Settlements and Infrastructure scenario of Hilly zone: silting, logging of drainage system, slums settlement in the hills, communication (road, water network, Telephone network) health/education

4. Hilly zone Planning and Management Organization: Objectives, structure, Functions, working process, accomplishment and constraints

5. Emerging issues of Hilly zones of Bangladesh: Characteristics and impact of Hilly area’s community clash

6. Coastal Zone Planning: Definitions/concepts of coastal zone, characteristics of the coastal zone (location, climate, geomorphology, hydro-morphology, ecology, vulnerability, natural disasters, people and livelihood, infrastructure, resources etc.)

7. Issues addressed by CZ Planning and Management: Principles/approaches, resource use conflict, population growth and poverty, illegal activities, climate change, pollution, biodiversity conservation, policy and institutional gaps and conflicts

8. Planning tools of Coastal Zone Management: Tools and techniques of coastal zone management

9. Existing planning initiatives in Detail Area Plan or in other acts 

Course Contents:

1. Introduction to the GIS Software, Interface of ArcGIS

2. Collection of co-ordinate and data in the field survey using GPS

3. Processing of Field survey data in ArcGIS and Geo-referencing, Base Map Preparation and Attribute data management

4. Preparation of Layout, Spatial analysis (Vector and Raster)

5. Suitability Analysis, Watershed Analysis and Network Analysis

6. River profile mapping using HEC-RAS, Coastal monitoring using DSAS

7. Introduction to Python for data visualization using ArcPy

8. Sources of remote sensing data and procedure of collection

9. Landsat raw data processing, AOI file preparation, Color composite image preparation

10. Image preprocessing, Image classification (supervised, unsupervised and accuracy assessment)

11. Visual interpretation of images

12. Google Earth Engine

13. Machine learning approaches for geo-data analysis