MAKAUT COURSE MATERIALS

Supporting materials for class lectures

MB106

QUANTITATIVE TECHNIQUES

 

 

 

MB301

ENTREPRENEURSHIP & PROJECT MANAGEMENT

MIS301

RELATIONAL DATABASE MANAGEMENT SYSTEM

 

 

 

MB106

 

Lecture 1 – Linear Programming: Introduction, Formulating minimization problems. Click to open

Lecture 2 – Linear Programming: Formulating  maximization/minimization  problems. Click to open

Lecture 3 –Linear Programming: Graphical solution. Click to open

Lecture 4 – Linear Programming: Graphical solution continued. Click to open

Lecture 5 – Linear Programming: Simplex Method. Click to open

Lecture 6 – Linear Programming: Big M Method. Click to open

Lecture 7 – Linear Programming: Big M Method continued. Click to open

Lecture 8 – Duality of LP and its interpretation. Click to open

Lecture 9 –Duality of LP and its interpretation continued. Click to open

Lecture 10 – Duality and it’s Economic Interpretation. Click to open

Lecture 11 – Transportation Problems. Click to open

Lecture 12 –Transportation Problems-Feasible solution (VAM). Click to open

Lecture 13 – Transportation Problems-Optimal solutions. Click to open

Lecture 14 – Transportation Problems-Unbalanced Profit maximization problems. Click to open

Lecture 15 – Assignment Problems-Hungarian Method. Click to open

Lecture 16 – Unbalanced Assignment Problems. Click to open

Lecture 17 –Game Theory. Click to open

MB301

 

Lecture 1 – INTRODUCTION TO ENTREPRENEURSHIP. Click to open

Lecture 2 – CONTRIBUTION OF ENTREPRENEURS TO SOCIETY. Click to open

Lecture 3 -Innovation Management. Click to open

Lecture 4 – Idea Management System. Click to open

Lecture 5 – Divergent v/s Convergent Thinking. Click to open

Lecture 6&7 – Qualities of a prospective Entrepreneur & Factors determining competitive advantage. Click to open

Lecture 8 – Industry and Competitor Analysis. Click to open

Lecture 9&10 – Market Segment & Blue Ocean Strategy. Click to open

Lecture 11&12 – TRIZ (Theory of Inventive Problem Solving), Achievement motivation theory of
entrepreneurship – Theory of McClelland. Click to open

Lecture 13&14 – Information: Government incentives for entrepreneurship. Click to open

Lecture 15&16 – Harvesting Strategies , Sustaining Competitiveness, Maintaining Competitive Advantage, Changing Role of the Entrepreneur. Click to open

Lecture 17 – Funding new ventures – bootstrapping, crowd sourcing, angel investors, incubation,
acceleration. Click to open

Lecture 18 – SISI, KVIC, DGFT, SIDBI. Click to open

Lecture 19 – Project Report Preparation. Click to open

MIS301

 

Lecture 1 – DBMS AND THREE TIER ARCHITECTURE. Click to open

Lecture 2&3 –Concepts of tables, records, attributes, keys, integrity constraints, data independence. Click to open

Lecture 4&5 –Models of Database Architecture. Click to open

Lecture 6&7 –The Relational Model And Relational Algebra. Click to open

Lecture 8&9 –Structured Query Language(SQL)-1. Click to open

Lecture 10,11&12 –Structured Query Language(SQL)-2. Click to open

Lecture 13&14 –Structured Query Language(SQL)-3. Click to open

Lecture 15&16 –Structured Query Language(SQL)-4, Database Security & Authorization (concept of GRANT / REVOKE)Click to open

Lecture 17&18 – Integrity and Security: concept of triggers, stored procedures. Click to open

Lecture 19&20 – Database Design: ER modeling [Entity-Relationship Diagrams (ERD). Click to open

Lecture 21,22&23 – Database Design: Functional Dependencies, Normalization  & denormalization. Click to open

Lecture 24&25 –System Implementation Techniques: Query Processing & Optimization , Transaction Processing Concepts. Click to open

Lecture 26&27 – System Implementation Techniques: Concurrency Control and Recovery Techniques. Click to open

Lecture 28&29 – Indexing concepts: Ordered indices. Click to open

Lecture 30&31 – Concepts of hashing (static, dynamic). Click to open

Lecture 32&33 – Advanced Data Models & Emerging Trends. Click to open