Week	Name	Description
	Theory
	Practicals
	Course outline
26 February - 4 March	1.1.1 Population
	1.1.2. Dynamics
	1.1.3. Population dynamics
	1.1.4. Stock assessment
	introduction
	1.2.1. Concept of population
	1.2.2. Concept of stock
	Concept of population and unit stock
	1.3.1. Mixed stock
	1.3.2. Limitations in the assessment of tropical fish stocks
	Characteristics of mixed stock
	1.4.1. Aims of stock assessment
	1.4.2. Stock assessment
	1.4.3. Fish abundance
	1.4.4. Surplus production
	1.4.5. production rate
	1.4.6. Production functions
	1.4.7. Maximum Sustainable Yield (MSY)
	Principles of stock assessment
	1.5.1. Fishery-dependent data
	1.5.2. Fishery-independent data
	1.5.3. Biological data
	1.5.4. Fisheries data
	1.5.5. Basic elements for the description of a fishery
	1.5.5.1. For Analytical model
	1.5.5.2. For Surplus production model
	1.5.5.3. For swept area method
	Data requirement of stock assessment
	1.6.1. Spatial and temporal variations
	1.6.2. Starategies to be followed
	Biological structure of fisheries resources in space and time
	1.7.1. Indicators
	1.7.2. Economic and Social Indicators
	1.7.3. Uses of indicators
	1.7.4. Biological indicators
	1.7.5. Inclusion criteria
	1.7.6. Fisheries Indicators and data sources
	1.7.7. Classification of some indicators following the PSR framework
	Indicators of dynamics in fishery resource
	1.8.1. Sample
	1.8.2. Sampling fish
	1.8.3. Types of sampling
	Sampling techniques
5 March - 11 March	2.1.1. Introduction
	2.1.2. Laws of population structure
	2.1.3. Laws of growth
	2.1.4. Fish growth in tropical and temperate waters
	2.1.5. Biological features of population
	Population age structure
	2.2.1. Introduction
	2.2.2 Life span of a Fish
	2.2.3 Construction of life table
	2.2.4 Mathematical models
	2.2.4.1 Density independent model for organisms with discrete breeding season
	2.2.4.2 Density dependent model for population with discrete breeding season
	2.2.4.3 Density independent model for populations which breed continuously
	2.2.4.4 Density dependent model for populations which breeds continuously
	2.2.5 Virtual population analysis
	2.2.6 Cohort Dynamics
	Theory of life tables
	2.3.1 Introduction
	2.3.2. Petersen’s method
	2.3.3. Modal class progression analysis
	2.3.4. Integrated method
	Age determination-integrated method
12 March - 18 March	3.1.1. Introduction
	3.1.2. Growth
	3.1.3. Growth parameters
	3.1.3.1. Length infinity or Asymptotic length
	3.1.3.2. Growth coefficient or curvature parameter (K)
	3.1.3.3. Initial condition parameter / Arbitrary origin of growth (t0)
	3.1.3.4. L max
	3.1.3.5. Growth rate
	3.1.3.6. von Bertalanffy’s growth equation
	3.2.1. Introduction
	3.2.2. Growth parameters and its application
	3.2.3. Data needed to estimate growth parameters
	3.2.4. Methods / equations used to study growth parameters
	3.2.4.1. Gulland and Holt Plot
	3.2.4.2. Ford – Walford plot & Chapman’s method
	3.2.4.3. Chapman’s method
	3.2.4.4. Bagenels’ least square method
	3.2.5. Estimation of growth parameters for Elasmobranches
	3.2.6. Estimation of growth parameters for crustaceans
	3.2.7. Growth Co-efficient
	Determination of growth parameters
19 March - 25 March	4.1.1. Introduction
	4.1.2. Types of Mortality
	4.1.3. Application of mortality parameters
	4.1.4. Estimation of total instantaneous mortality (Z)
	4.1.4.1. Estimation of Z by exponential equation
	4.1.4.2. Estimation of ‘Z’ by age composition data
	4.1.4.3. Estimation of Z from CPUE
	4.1.4.4. Estimation of Z using LFD and selection parameters
	4.1.4.4.1. Estimation of Z by means of a catch curve
	4.1.4.4.2. Estimation of Z by growth and selection parameters (Beverton and Holt equation)
	4.1.4.4.3. Powell – Wetherall method
	4.2.1. Introduction
	4.2.2. Application
	4.2.3. Estimation of ‘M’
	4.2.3.1. Pauly’s empirical formula
	4.2.3.2. Correlation of ‘M’ with longevity of fishes (Pauly’s method)
	4.2.3.3. Rikhter and Efanov’s formula
	4.3.1. Introduction
	4.3.2. Estimation of ‘F’
	4.4.1. Exploitation ratio
	4.4.2. Exploitation rate
	Exploitation rate and exploitation ratio
26 March - 1 April	5.1.1. Introduction
	5.1.2. Selection Process and Selectivity
	5.1.3. Bell shaped selection curve
	5.1.4. Sigmoid shaped selection curve
	5.1.5. Gill Net selectivity
	5.1.6. Factors influencing the selectivity to Gill nets
	5.1.7. General information needed
	5.2.1. Introduction
	5.2.2. Selectivity
	5.2.3. Factors affecting the selectivity of trawls
	5.2.4. Methods of measuring the selectivity of trawls
2 April - 8 April	6.1.1. Introduction
	6.1.2. Objectives
	6.1.3. Surplus production model
	6.1.3.1. Schaefer model
	6.1.3.2. Fox model
	6.1.4. Procedure
	6.1.5. Uses of the surplus production model
	6.2.1. Introduction
	6.2.2. Concept of MSY
	6.2.3. Merits and demerits of MSY
	6.2.4. FMSY & FMAX
	6.2.5. Limitations of MSY approach
	6.2.6. Maximum Economic yield (MEY)
	Maximum sustainable yield & maximum economic yield
	6.3.1. Introduction
	6.3.2. Swept area method
	6.3.3. Biomass Estimation
	Swept area method
	6.4.1. Introduction
	6.4.2. Methods of estimation of potential yields
	6.4.2.1. Gulland Equation
	6.4.2.2. Ricker equation
	6.4.2.3. Cadima’s formula
	6.4.2.4. Schaefer and Fox model
	Estimation of potential yields in (more or less) virgin stocks
9 April - 15 April	7.1.1. Introduction
	7.1.2. Yield / recruit model of Beverton and Holt
	7.1.3. Assumption to be taken for using Analytic model
	7.1.4. Derivation of the model
	7.1.5. Input data needed
	7.1.6. Equation
	7.1.7. Calculation procedure
	Beverton and Holt's yield per recruit model
	7.2.1. Introduction
	7.2.2. Equation
	Beverton and Holt's relative yield per recruit model
	7.3.1. Introduction
	7.3.2. Mean age and size in the yield
	Biomass per recruit model
	7.4.1. Yield curves
	Yield curves
16 April - 22 April	8.1.1. Introduction
	8.1.2. Principles
	8.1.3. Parameters to be entered for all groups
	Ecopath
	8.2.1. Introduction
	8.2.2. Applications
	8.2.3. Collection of Data
	Monte carlo simulation model
23 April - 29 April	6.5.1 Introduction
	6.5.2 Recruitment
	6.5.3 Ricker bell shaped curve
	6.5.4. Beverton and Holt model
	6.5.5. Cushing model
	6.5.6 Relative response model
	Models used for stock recruits and parent stock
30 April - 6 May	9. 1.1 Introduction
	9.1.2 Growth overfishing
	9.1.3 Recruitment overfishing
	9.1.4 Ecosystem overfishing
	10.1.6.Regulary measures
	10.1.6. Eumetric fishing
	Overfishing
	9.2.1 Introduction
	9.2.2 Fishing effort
	9.2.3 Catchability coefficient
	9.2.4 Standardisation of fishing effort
	CPUE
	9.3.1 Introduction
	9.3.2 Open accent catch
	10.4.1. Introduction
	10.4.2. Origins of public policy
	10.4.3. Principles of Public Action
	10.4.4. Current regulatory objectives
	10.4.4.1. Conservation
	10.4.4.2. Allocation of fishing rights
	10.4.4.3. Orderly fishing
	10.4.4.4. Prevention of waste
	10.4.4.5. Protection of public health
	10.4.5. Regulatory decisions
	10.4.6. Regulation of a large oceanic fishery
	10.4.7. Methods of regulation
	10.4.8. International Plans of Actions (IPOAs)
	10.4.9. Bycatch reduction technologies
	10.4.10. Pointers from CCRF and IPOAs for responsible fishing
	10.5.1. Introduction
	10.5.2. Excerpts Pertaining to Fisheries from the law of the Sea
	10.5.3. Conservation of the living resources
	10.5.4. Utilization of the living resources
	Implementation of the new law of the sea
7 May - 13 May	Introduction
	Objectives
	Collection and processing of Length Frequency Data
	Integrated method of Pauly
	Tenets of the Integrated method of Pauly
	Points to be noted while drawing curves
14 May - 20 May	Introduction
	Objectives
	Procedure
	Problem
	Length and weight converted to VBGF growth curves
	Calculation
	Results
21 May - 27 May	Introduction
	Objectives
	Procedure
	Problem : 1
	Solution
	Problem : 2
	Solution
	Results
28 May - 3 June	Introduction
	Objectives
	Procedure
	Problem
	Results
4 June - 10 June	Introduction
	Objectives
	Procedure
	Problem
11 June - 17 June	Objectives
	Problem
	Solution
18 June - 24 June	Introduction
	Problem
	Solution
	Result
25 June - 1 July	Introduction
	Problem
	Result
2 July - 8 July	Objectives
	Problem
9 July - 15 July	Introduction
	Problem 1
	Problem 2
	Solution for purse seine
	Solution for both trawl net and purse seine
	Solution for both trawl net and purse seine
16 July - 22 July	Introduction
	Problem
	Schaefer model
	Fox model
23 July - 29 July	Introduction
	Problem
	Conclusion
30 July - 5 August	Introduction
	Procedure
6 August - 12 August	Introduction
	Table 1
	Problem
13 August - 19 August	Swept Area Method
	Solution
20 August - 26 August	Computer Packages for Stock Assessment Studies