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View Scheme/Syllabus Search Upload Type: Program: System Type 1 st Semester: MBA I Semester Scheme: Scheme Financial Administration MBA I Semester: Scheme Marketing Management MBA I Semester: Scheme MBA Pharmaceutical Management I Semester ... E-mail: egov@rgpv.ac.in ; VC HelpDesk .
UNIT1: Introduction to Operating Systems: Function, Evolution, Different types of Operating Systems, Desirable Characteristics and features of an O/S.
Scheme/Syllabus. Disclaimer: This is the Institute Service Portal of RGPV Polytechnic Wing, Bhopal, developed with an objective to enable a single window access to information and services being provided by the various sections of Institute.
AL702(A) AI in Gaming. Course Objective: The students should be able to understand and use AI techniques for generating efficient, intelligent behavior in games. Additional attention is to be given to AI algorithms for improving game play experience.
Introduction, Mechanism of lubrication, Classification of lubricants, significance & determination of Viscosity and Viscosity Index, Flash & Fire Points, Cloud & Pour Points, Aniline Point, Acid Number, Saponification Number, Steam Emulsification Number and related numerical problems.
Mar 24, 2024 · The students can download the RGPV syllabus 2024 from the official website and it is essential for the students to have access to the direct links of the syllabus to plan, prepare and execute their study timetable for the courses.
Download and view the latest RGPV syllabus and timetable in PDF.
Introduction to energy systems and resources; Introduction to Energy, sustainability & the environment; Overview of energy systems, sources, transformations, efficiency, and storage; Fossil fuels (coal, oil, oil-bearing shale and sands, coal gasification) - past, present & future, Remedies & alternatives for fossil fuels - biomass, wind, solar,...
Module 1: Calculus: (10 hours): Rolle’s theorem, Mean Value theorems, Expansion of functions by Mc. Laurin’s and Taylor’s for one variable; Taylor’s theorem for function of two variables, Partial Differentiation, Maxima & Minima (two and three variables), Method of Lagranges Multipliers.
Module 1: Wave nature of particles and the Schrodinger equation (8 lectures)
