NRSC Scientific Assistant SA2 Syllabus
National Remote Sensing Centre Hyderabad Scientific Assistant Syllabus
Mathematics
(1) Real Analysis
(2) Elementary Number Theory
(3) Groups and Rings
(4) Linear Algebra
(5) Ordinary and Partial Differential Equations
(6) Vector Calculus
(7) Solid Geometry
Statistics
(1) Probability
(2) Distribution Theory
(3) Estimation
(4) Testing of Hypotheses
(5) Non-Parametric Tests
(6) Multivariate Tests
(7) Sampling Techniques
(8) Linear models and analysis of experimental designs
(9) Optimization Techniques
Computer Science
(1) Mathematical Foundations
(2) Computer Organization
(3) Programming – Programming in C, Object oriented programming concepts including classes, Polymorphism, Inheritance, and Programming in C++, Java and Python
(4) Data Structures
(5) Design and Analysis of Algorithms – Algorithm complexity, Algorithms Design Techniques – Divide and Conquer, Greedy Method, Dynamic Programming, Backtracking, Branch and Bound, NP-Hard and NP-Complete Problems.
(6) Principles of Programming Languages – BNF, Variables, Data Types, Control Structures, Scope and Extent, Data Abstraction, Concurrency concepts, Exception Handling, Functional Programming and Logic Programming.
(7) Compiler Design
(8) Operation Systems
(9) Database Management Systems
(10) Computer Graphics
(11) Computer Networks
(12) Software Engineering
(13) Object oriented Analysis and Design
(14) Network Security
(15) Distributed Operating Systems
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