MTech 2nd Semester Syllabus (2024)
Last Updated :
07 Mar, 2024
MTech program allows students to dive deeper into their chosen engineering field, by providing them advanced knowledge and skills. In this process, the second semester of the program plays a crucial role in solidifying the foundation laid in the first semester and introducing students to more specialized topics. To help you out we have created this article which provides a comprehensive overview of the MTech 2nd Semester Syllabus for the year 2024, highlighting the key areas of study and preparing students for a successful semester.
MTech CSE 2nd Semester Syllabus
Subject
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Unit-wise Syllabus
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Books
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Advanced Software Engineering
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Unit 1: Advanced Software Development Methodologies:
- Agile methodologies (Scrum, Kanban) compared to traditional approaches (Waterfall)
- DevOps principles and practices for continuous integration and delivery
- Microservices architecture and its benefits
- Cloud-based software development and deployment
Unit 2: Advanced Design Patterns:
- Design patterns for object-oriented programming (Gang of Four patterns) and beyond
- Architectural patterns for scalability, maintainability, and resilience
- Design patterns for distributed systems and microservices
Unit 3: Advanced Software Testing Techniques:
- Model-based testing, performance testing, security testing, mutation testing
- Test automation frameworks and tools
- Continuous testing and integration with development process
Unit 4: Advanced Software Quality Management:
- Software quality metrics and measurement
- Quality assurance and quality control processes
- Agile testing methodologies and tools
- Software reliability and maintainability”
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- “Software Engineering: A Practitioner’s Approach” by Roger S. Pressman
- “Agile Software Development: Principles, Patterns, and Practices” by Robert C. Martin
- “Clean Code: A Handbook of Agile Software Craftsmanship” by Robert C. Martin
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Computer Networks and Security
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Unit 1: Advanced Network Protocols:
- Deep dive into TCP/IP protocol suite (TCP congestion control, UDP reliability)
- Routing protocols (RIP, OSPF, BGP) and their routing algorithms
- Application-layer protocols (HTTP, DNS, SMTP) and their security considerations
Unit 2: Network Security:
- Cryptographic algorithms (symmetric, asymmetric) and their applications
- Network security threats (DoS, DDoS, malware) and mitigation strategies
- Secure communication protocols (HTTPS, TLS, VPN)
- Intrusion detection and prevention systems (IDS, IPS)
Unit 3: Wireless Networks and Security:
- Wireless network technologies (Wi-Fi, cellular networks) and their vulnerabilities
- Security protocols for wireless networks (WPA, WPA2)
- Mobile security challenges and solutions
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- “Computer Networking: A Top-Down Approach Featuring the Internet” by Kurose and Ross
- “Cryptography Engineering: Design Principles and Practical Applications” by Niels Ferguson, Bruce Schneier, & Tadayoshi Kohno
- “Network Security Essentials: Applications and Standards” by William Stallings
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Theory of Computation
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Unit 1: Automata Theory:
- Finite State Automata (FSA), Regular Languages, Deterministic and Non-deterministic FSA
- Pushdown Automata (PDA), Context-Free Languages (CFL)
- Pumping Lemma for Regular and Context-Free Languages
Unit 2: Computability Theory:
- Turing Machines, Halting Problem, Church-Turing Thesis
- Recursive Functions and their properties
- Gödel’s Incompleteness Theorems and their implications
Unit 3: Complexity Theory:
- Big O notation for complexity analysis
- P, NP, NP-Completeness and hardness of problems
- Approximation algorithms and their limitations
Unit 4: Algorithmic Paradigms:
- Divide-and-conquer, Greedy algorithms, Dynamic Programming
- Backtracking, Branch and Bound techniques
- Parallel and distributed algorithms
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- “Introduction to Automata Theory, Languages, and Computation” by John E. Hopcroft & Jeffrey D. Ullman
- “Computability and Complexity: From Languages to Machines” by Elaine Rich & David Gries
- “Gödel, Escher, Bach: An Eternal Golden Braid” by Douglas R. Hofstadter
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Conclusion
This comprehensive overview of the MTech 2nd Semester Syllabus (2024) for Computer Science Engineering has equipped you with a roadmap for the next leg of your academic journey and by actively engaging with the advanced concepts covered in each subject, diligently practicing the techniques, and seeking guidance from faculty, you can solidify your understanding and prepare yourself for professional success in the field.
FAQs
1. What are the core subjects in the MTech 2nd semester syllabus for 2024?
The core subjects in the MTech 2nd semester syllabus for 2024 typically include advanced topics related to the specialization chosen by the student, such as advanced algorithms, machine learning, and software engineering.
2. Are there any elective courses offered in the MTech 2nd semester syllabus for 2024?
Yes, students usually have the option to choose elective courses based on their interests and career goals, such as data mining, artificial intelligence, or cybersecurity.
3. How can I access the detailed MTech 2nd semester syllabus for 2024?
You can usually find the detailed MTech 2nd semester syllabus for 2024 on the official university website or by contacting the academic department responsible for the MTech program.
4. Are there any changes or updates to the MTech 2nd semester syllabus for 2024 compared to previous years?
Changes to the MTech 2nd semester syllabus for 2024 may include the addition of new courses, updated content to reflect industry trends, or modifications to existing courses based on feedback from students and faculty.
5. Can students provide feedback on the MTech 2nd semester syllabus for 2024?
Yes, students are encouraged to provide feedback on the MTech 2nd semester syllabus for 2024 through official channels such as course evaluations, feedback forms, or discussions with faculty members to help improve the quality of the program.
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