Solved UGC NET NOV 2020 - Computer Science & Applications

UGC NET Exam Prep: Master Computer Science with Comprehensive Video Lectures

Boost your preparation for the UGC NET exam with this in-depth course covering 150 solved questions! This resource includes 50 questions for Paper I (common to all subjects) and 100 questions for Paper II, focusing on Computer Application & Internet. Perfect for the UGC NET November 2020 exam.

Course Highlights:

• Extensive Question Coverage: 150 solved questions to reinforce your understanding.
• Targeted Content: Specifically designed for the UGC NET Computer Science exam.
• Video Lectures: 2 videos for Paper I and 10 videos for Paper II, providing clear explanations.
• Comprehensive Syllabus Coverage: Video lectures cover these key topics:
  • Discrete Structures and Optimization: Fundamental concepts for problem-solving.
  • Computer System Architecture: Understanding the inner workings of computer systems.
  • Programming Languages and Computer Graphics: Essential for software development.
  • Database Management Systems: Managing and organizing data effectively.
  • System Software and Operating System: The foundation of computer operations.
  • Software Engineering: Principles for building reliable software.
  • Data Structures and Algorithms: Efficiently organizing and manipulating data.
  • Theory of Computation and Compilers: The theoretical basis of computation.
  • Data Communication and Computer Networks: Connecting computers and networks.
  • Artificial Intelligence (AI): Exploring intelligent systems and problem-solving.

Sample Questions & Concepts Covered:

• Programming (while loop): Understanding loop termination and variable values. (#programming #whileLoop)
• XML vs. HTML: Distinguishing between data representation and display. (#xml #html #difference-html-xml)
• Operating Systems (Pipelining): Calculating speedup in pipelined systems. (#OperatingSystem)
• Graph Theory (DFS & BFS): Analyzing graph traversal and relationships. (#graphTheory #DiscreteStructure&Optimization #UGC #NET #UNIT_I)
• Theory of Computation (Turing Machines): Decidability and undecidability of languages. (#TuringMachine #theory_of_Computation)
• Artificial Intelligence (AI) Problem Solving: Exploring heuristic search techniques and knowledge representation. (#AI #artificial_Intelligence)
• Operating Systems (Disk Scheduling): Applying shortest seek time first algorithm to optimize disk access. (#os #OperatingSystem)
• Bit String Ordering: Lexicographic ordering of binary strings.
• Input/Output Operations: Matching concepts related to programmed input-output, interrupt-initiated I/O, and handshaking.

Teaching Approach:

With 18 years of teaching experience and an MTech in Computer Science, the lectures are delivered in Hindi, employing a heuristic approach to ensure easy comprehension of each question. We focus on practical understanding and application of concepts.