Video Lectures

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Chapter 1 : Business Intelligence
Topic : Effective and timely decisions
Content : Introduction, Effective and timely decisions, Complex decision making process in rapidly changing conditions 24 MB ,16:8 MIN , THEORY


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Chapter 1 : Business Intelligence
Topic : Data, information and knowledge
Content : Data, Information, Knowledge 15 MB ,9:58 MIN , THEORY


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Chapter 1 : Business Intelligence
Topic : The role of mathematical models
Content : The Role of Mathematical Models in Business Intelligence 10 MB ,6:39 MIN , THEORY


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Chapter 1 : Business Intelligence
Topic : Business Intelligence Architecture
Content : Business Intelligence Architecture, Data Sources, Data Warehouse, Data Mart, BI Methodologies 21 MB ,12:30 MIN , THEORY


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Chapter 1 : Business Intelligence
Topic : Business intelligence architectures
Content : Cycle of a business intelligence analysis 12 MB ,7:44 MIN , THEORY


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Chapter 1 : Business Intelligence
Topic : Ethics and business intelligence
Content : Ethics and business intelligence 3 MB ,2:19 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Definition of system
Content : Definition of system, Abstract Representation of System, A closed cycle marketing system with feedback effects, Effectiveness and Efficiency 20 MB ,12:57 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Representation of the decision-making process
Content : Rationality and Problem Solving, The structure of the problem-solving process, Criteria, Evaluating the Alternatives, Exclusion and Evaluation. 29 MB ,19:18 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Representation Of The Decision-Making Process
Content : Decision Making Process, Intelligence, Design, Choice, Implementation , Control 15 MB ,9:43 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Representation of the decision-making process
Content : Types of Decisions : Based on Nature, Based on Scope, Structured, Semi Structured, Unstructured, Strategic, Tactical, Operational Decisions 16 MB ,10:10 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Representation of the decision-making process
Content : Approaches to the Decision making process : Rational approach, Political-organizational approach , Absolute rationality, Bounded rationality? 7 MB ,4:16 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Evolution of Information System
Content : Evolution of Information System 15 MB ,10:2 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Definition of Decision Support System
Content : Definition of Decision Support System 3 MB ,2:14 MIN , THEORY


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Chapter 2 : Decision support systems
Topic : Development of decision support system
Content : Development of decision support system, Planning, Analysis, Design, Implementation, The major critical factors that affect the degree of success of a DSS, Integration, Involvement, 17 MB ,12:47 MIN , THEORY


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Chapter 1 : Mathematical models for decision making
Topic : Structure of Mathematical Models
Content : Structure of Mathematical Models 15 MB ,9:37 MIN , THEORY


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Chapter 1 : Mathematical models for decision making
Topic : Development of a model
Content : Development of a model, Problem Identification, Model Formulation, Development of Algorithms, Implementation and Testing 20 MB ,13:20 MIN , THEORY


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Chapter 2 : Mathematical models for decision making
Topic : Classes of Models
Content : Classes of Models, Predictive Models, Explanatory models, Time Series models, Optimization models, Project management models, Risk Analysis Models, Waiting line models 17 MB ,11:26 MIN , THEORY


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Chapter 2 : Data Mining
Topic : Definition of data mining, Representation of input data
Content : Introduction, Data Mining Activates, Prediction, Interpretation, Models and Methods of Data mining, Application of Data Mining, Types of Attributs 35 MB ,21:1 MIN , THEORY


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Chapter 2 : Data Mining
Topic : Data mining process
Content : Data Mining Process, Definition of objectives, Data Gathering and Integration, Exploratory Analysis, Attribute Selection, Model Development and Validation, Prediction and Interpretation 11 MB ,7:40 MIN , THEORY


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Chapter 2 : Data Mining
Topic : Analysis Methodologies
Content : Analysis Methodologies, Supervised learning, unsupervised learning, data mining tasks 17 MB ,16:47 MIN , THEORY


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Chapter 3 : Data Preparation
Topic : Data validation, Data transformation, Data reduction
Content : Data Validation, incompleteness, noise, inconsistency, Incomplete Data, Elimination, Inspection, Identification, Substitution, Data Affected by Noise, Data Transformation, Standardization, Feature Extraction, Data Reduction, 32 MB ,21:7 MIN , THEORY


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Chapter 1 : Classification
Topic : Classification problems
Content : Classification Problems, Probabilistic structure of the learning process for classification 24 MB ,13:4 MIN , THEORY


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Chapter 1 : Classification
Topic : Classification Problems
Content : Taxonomy of Classification Model 10 MB ,6:2 MIN , THEORY


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Chapter 1 : Classification
Topic : Evaluation of Classification Model
Content : Accuracy, Speed, Robustness, Scalability, Interpretability 10 MB ,6:9 MIN , THEORY


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Chapter 1 : Classification
Topic : Bayesian Methods
Content : Bayesian Methods, Bayesian Networks 7 MB ,4:25 MIN , THEORY


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Chapter 1 : Classification
Topic : Logistic regression, Neural networks
Content : Logistic Regression, Sigmoid Function, Neural Networks, Neural Network Structure, Single Layer Feed Forward Neural Networks (Perceptron), Multilayer Feed Forward Neural Networks, Learning Neural Networks 15 MB ,9:20 MIN , THEORY


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Chapter 1 : Classification
Topic : Support Vector Machines
Content : Support Vector Machines, Support Vector Machine Classification 7 MB ,4:16 MIN , THEORY


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Chapter 1 : Classification
Topic : Evaluation Of Classification Model
Content : Holdout Method, Repeated Random Sampling 11 MB ,6:55 MIN , THEORY


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Chapter 2 : Clustering
Topic : Clustering methods
Content : Taxonomy of clustering methods, Clustering, Partition Methods, Hierarchical Methods, Density based Methods, Grid based methods 23 MB ,13:51 MIN , THEORY


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Chapter 2 : Clustering
Topic : Clustering methods
Content : Type of Attributes, Affinity Measures, Numerical Attribute, Binary Attribute, Nominal Categorical Attribute, Ordinal Categorical Attribute 18 MB ,10:59 MIN , THEORY


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Chapter 2 : Clustering
Topic : Partition Method
Content : K-Means Clustering 15 MB ,9:19 MIN , THEORY


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Chapter 2 : Clustering
Topic : Evaluation of clustering models ‚??, Performance Indicators‚??
Content : Evaluation of clustering models ‚??, Performance Indicators‚?? 7 MB ,4:43 MIN , THEORY


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Chapter 2 : Clustering
Topic : Silhouette coefficient ‚??
Content : Silhouette coefficient ‚?? 3 MB ,2:32 MIN , THEORY


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Chapter 1 : Marketing models
Topic : Relational Marketing
Content : Relational Marketing, Motivation and Objectives 18 MB ,11:10 MIN , THEORY


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Chapter 1 : Marketing models
Topic : Relational marketing
Content : Decision making options for relational marketing strategy 8 MB ,5:0 MIN , THEORY


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Chapter 1 : Marketing Models
Topic : Salesforce Management
Content : Salesforce Management, Planning, Assessment 4 MB ,3:2 MIN , THEORY


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Chapter 1 : Marketing Models
Topic : Salesforce Management
Content : Salesforce Management, Decision process in salesforce management, Salesforce Design, Organizational Structure, Sizing, Sales territories, 18 MB ,11:22 MIN , THEORY


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Chapter 1 : Marketing models
Topic : Components of relational marketing strategy, Network of relationships involved in relational marketing strategy, An environment for relational marketing analysis, types of data feeding a data mart for relational marketing analysis
Content : Components of relational marketing strategy, Network of relationships involved in relational marketing strategy, An environment for relational marketing analysis, types of data feeding a data mart for relational marketing analysis 11 MB ,7:52 MIN , THEORY


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Chapter 1 : Marketing Models
Topic : Components of relational marketing strategy
Content : Components of relational marketing strategy 11 MB ,7:52 MIN , THEORY


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Chapter 1 : Marketing models
Topic : Cycle of relational marketing analysis, Lifetime value, Main relational marketing tasks
Content : Cycle of relational marketing analysis, Lifetime value, Main relational marketing tasks 9 MB ,6:53 MIN , THEORY


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Chapter 1 : Marketing models
Topic : Acquisition, Acquisition campaigns, Retention
Content : Acquisition, Acquisition campaigns, Retention 10 MB ,6:27 MIN , THEORY


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Chapter 2 : Logistics and Production Models
Topic : Supply Chain Optimization
Content : Supply Chain Optimization 11 MB ,5:41 MIN , THEORY


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Chapter 2 : Logistics and Production Models
Topic : Optimization models for Logistic Planning
Content : Tactical Planning, Extra Capacity, Multiple resources, Backlogging, Minimum Lots & Fixed Costs, Bill of Materials, Multiple Plants 32 MB ,17:54 MIN , THEORY


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Chapter 2 : Logistics and Production Models
Topic : Revenue Management System, Decision Processes in revenue management, Decision making processes
Content : Revenue Management System, Decision Processes in revenue management, Decision making processes 10 MB ,6:9 MIN , THEORY


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Chapter 3 : Development envelopment analysis
Topic : Development envelopment analysis, Efficiency Measures, Efficient Frontier, The CCR Model
Content : Development envelopment analysis, Efficiency Measures, Efficient Frontier, The CCR Model 17 MB ,11:33 MIN , THEORY


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Chapter 3 : Data Envelpment analysis
Topic : Identification of good operating practices, Cross Efficiency Analysis
Content : Identification of good operating practices, Cross Efficiency Analysis 3 MB ,1:47 MIN , THEORY


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Chapter 3 : Data Envelpment analysis
Topic : Identification of good operating practices
Content : Identification of good operating practices 3 MB ,1:54 MIN , THEORY


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Chapter 3 : Data Envelpment analysis
Topic : Identification of good operating practices, Virtual inputs and virtual outputs , Weight restrictions ‚??
Content : Identification of good operating practices, Virtual inputs and virtual outputs , Weight restrictions ‚?? 4 MB ,2:44 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Knowledge Repository
Content : A comprehensive view of knowledge repository 5 MB ,3:33 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Knowledge Management
Content : Knowledge Management, knowledge, characteristics of knowledge, Relationship among data, information and knowledge, Explicit and Tacit Knowledge, Taxonomy of knowledge, 25 MB ,15:59 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Approaches to Knowledge Management
Content : The process approach to knowledge management, The practice approach to knowledge management 18 MB ,12:11 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Information Technology in knowledge management
Content : The KMS cycle 6 MB ,4:17 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Knowledge Management Activities‚??
Content : Knowledge Management Activities‚?? 3 MB ,1:55 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Roles of the people in knowledge Management
Content : Roles of the people in knowledge Management 8 MB ,5:58 MIN , THEORY


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Chapter 1 : Knowledge Management
Topic : Learning Organisation & Organisational Transformation
Content : Learning Organisation & Organisational Transformation 12 MB ,9:7 MIN , THEORY


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Chapter 2 : Artificial Intelligence and Expert Systems
Topic : Artificial Intelligence
Content : Artificial Intelligence, Turing Test, Advantages of Artificial Intelligence vs Human Intelligence, Difference between Artificial Intelligence and Human Intelligence 18 MB ,12:58 MIN , THEORY


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Chapter 2 : Artificial Intelligence and Expert Systems
Topic : Expert Systems
Content : Basic Concepts of Expert Systems, Experts, Expertise 14 MB ,10:4 MIN , THEORY


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Chapter 2 : Artificial Intelligence and Expert Systems
Topic : Knowledge and Inference Rules, Development of Expert Systems
Content : Knowledge and Inference Rules, Development of Expert Systems, 24 MB ,16:52 MIN , THEORY


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Chapter 2 : Artificial Intelligence and Expert Systems
Topic : Features of Expert System
Content : Features of Expert System 4 MB ,3:31 MIN , THEORY


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Chapter 2 : Artificial Intelligence and Expert Systems
Topic : Applications of Expert Systems, Structures of Expert System, Knowledge Engineering, The process of Knowledge Engineering, Knowledge Verification and Validation, Knowledge Representation, Production Rules, Inference Rules, Inferencing in ES,
Content : Applications of Expert Systems, Structures of Expert System, Knowledge Engineering, The process of Knowledge Engineering, Knowledge Verification and Validation, Knowledge Representation, Production Rules, Inference Rules, Inferencing in ES, 28 MB ,19:24 MIN , THEORY


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