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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Information Theory, Coding and Cryptography certification course is a 12-week duration programme. The students must have a basic exposure to linear algebra and probability theory, as well as, a course in digital communications is a prerequisite for this course. The certification course is designed for both undergraduate and postgraduate level students.
The certification course covers an extensive curriculum that includes an introduction to information theory, variable length codes, optimum quantizer, noisy channel coding theorem and introduction to error control coding. Through Information Theory, Coding and Cryptography certification by NPTEL students will gain in-depth knowledge of various codes such as systematic codes, cyclic codes, and hamming codes.
Also Read: Online Programming Courses & Certifications
The Highlights
- 12 Weeks Duration
- Video Course
- Completion Certification
Programme Offerings
- assignments
- Transcripts
- hands-on training
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Delhi |
Eligibility Criteria
Academic Qualifications
The Information Theory, Coding and Cryptography online course prerequisite is the students must have a basic exposure to linear algebra and probability theory, and a course in digital communications.
Certification Qualifying Details
Upon the completion of the Information Theory, Coding and Cryptography certification course, the students will be able to receive a certificate.
What you will learn
After completing the Information Theory, Coding and Cryptography certification syllabus, the students will gain a deep understanding of information theory and source coding. They will also learn the theory of linear block codes (including cyclic codes, BCH codes, RS codes and LDPC codes), convolutional codes, turbo codes, TCM and space-time codes.
The students will be able to apply the learnt principles and theorems after the completion of the Information Theory, Coding and Cryptography certification training. The course helps students better understand by providing applications of the theory in real-world scenarios. With hands-on experience in the subject, they will be able to function effectively on real-world projects.
Who it is for
The Information Theory, Coding and Cryptography certification course is beneficial for aspiring students to develop their skills and knowledge. It will be also beneficial for:
Admission Details
To join the Information Theory, Coding and Cryptography classes, follow the steps mentioned below:
Step 1: Browse the link mentioned below:
https://nptel.ac.in/courses/108102117
Step 2: "Login In" and Sign In with a Google account or create a separate account.
Step 3: With the necessary details, fill out the registration form, submit it and join the course.
The Syllabus
- Lecture 1: Introduction to Information Theory
- Lecture 2: Entropy, Mutual Information, Conditional and Joint Entropy
- Lecture 3: Measures for Continuous Random Variable, Relative Entropy
- Lecture 4: Variable Length Codes, Prefix Codes
- Lecture 5: Source Coding Theorem
- Lecture 6: Various source coding techniques: Huffman, Arithmetic, Lempel Ziv, Run Length
- Lecture 7: Optimum Quantizer, Practical Application of Source Coding: JPEG Compression
- Lecture 8: Introduction to Super Information
- Lecture 9: Channel Models and Channel Capacity
- Lecture 10: Noisy Channel Coding Theorem
- Lecture 11: Gaussian Channel and Information Capacity Theorem
- Lecture 12: Capacity of MIMO channels
- Lecture 13: Introduction to Error Control Coding
- Lecture 14: Introduction to Galois Field
- Lecture 15: Equivalent Codes, Generator Matrix and Parity Check Matrix
- Lecture 16: Systematic Codes, Error Detection and Correction
- Lecture 17: Erasure and Errors, Standard Array and Syndrome Decoding
- Lecture 18: Probability of Error, Coding Gain and Hamming Bound
- Lecture 19: Hamming Codes, LDPC Codes and MDS Codes
- Lecture 20: Introduction to Cyclic Codes
- Lecture 21: Generator Polynomial, Syndrome Polynomial and Matrix Representation
- Lecture 22: Fire Code, Golay Code, CRC Codes and Circuit Implementation of Cyclic Codes
- Lecture 23: Introduction to BCH Codes: Generator Polynomials
- Lecture 24: Multiple Error Correcting BCH Codes, Decoding of BCH Codes
- Lecture 25: Introduction to Reed Solomon (RS) Codes
- Lecture 26: Introduction to Convolutional Codes
- Lecture 27: Trellis Codes: Generator Polynomial Matrix and Encoding using Trellis
- Lecture 28: Vitrebi Decoding and Known good convolutional Codes
- Lecture 29: Introduction to Turbo Codes
- Lecture 30: Introduction to Trellis Coded Modulation (TCM)
- Lecture 31: Ungerboek‘s design rules and Performance Evaluation of TCM schemes
- Lecture 32: TCM for fading channels and Space Time Trellis Codes (STTC)
- Lecture 33: Introduction to Space Time Block Codes (STBC)
- Lecture 34: Real Orthogonal Design and Complex Orthogonal Design
- Lecture 35: Generalized Real Orthogonal Design and Generalized Complex Orthogonal Design
- Lecture 36: Introduction to Cryptography: Symmetric Key and Asymmetric Key Cryptography
- Lecture 37: Some well―known Algorithms: DES, IDEA, PGP, RSA, DH Protocol
- Lecture 38: Introduction to Physical Layer Security: Notion of Secrecy Capacity
- Lecture 39: Secrecy Outage capacity, Secrecy Outage probability, Cooperative jamming
Evaluation process
The candidates must write an exam and score a minimum of 25% in assignments and 75% in the written exam, out of a total of 100 marks, to receive a certificate.
IIT Delhi Frequently Asked Questions (FAQ's)
This certification course is a 12-week duration programme and is core type. The course is designed for both undergraduate and postgraduate level students.
This course curriculum includes an extensive curriculum such as an introduction to information theory, Fire Code, introduction to Reed Solomon (RS) Codes, and Viterbi Decoding and Known good convolutional Codes.
The prerequisite for this certification course is the students must have basic exposure to linear algebra and probability theory, and a course in digital communications.
This certification course supports several industries such as Telecommunication companies, Internet companies, and Information security companies.
Yes, students can pursue this certification course, if they are pursuing their undergraduate or postgraduate degree.