## Communications, Signal Processing and Learning Group

### MTech Course Structure

Core Courses (9+2+2 Credits) |
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Random variables & stochastic processes (3) |

Matrix theory (3) |

Courses from core basket (3) |

Labs (2) |

English communication (1) |

Industry lectures (1) |

Elective Courses (15 credits) |
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Divided into 3 baskets (Communications, Signal Processing, Learning) |

Students must take at least 2 credits from each basket |

Thesis (24 Credits) |
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Work on project with a faculty advisor |

Early exposure to project |

Greater emphasis on research and development |

Course structure common for 2-year MTech and 3-year MTech programmes

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### Fees, stipend

- Fee Details will be updated in July 2023
- 2-year MTech (TA) students get stipend from MoE
- 3-year MTech students get a stipend from project
- Exposure to research work right from the start of the program
- Typical Monthly stipend: Rs 12,400/-

#### Stipend:

### MTech admissions

- 2-year MTech: Online application, typically open during mid-March to mid-April.
- 3-year MTech
- August admissions: online application typically open during mid-March to mid-April
- January admissions: online application typically open during November

### Admission Process

Admission to the MoE sponsored MTech (TA) programme for candidates with a GATE score is via COAP.

All other admissions will involve a written test and/or interview

### Exam and Interview:

- Linear algebra/matrix theory
- Probability theory, random variables and random processes
- Convex and non-convex optimization
- Real and complex analysis
- Exam & interview to test how well you can solve problems mathematically
- We expect clear understanding of fundamentals (NOT formula-based approach)
- We look for ability to improvise and willingness to learn

Engineering uses mathematical tools to solve real-world problems. Many problems in Communications, Signal Processing and Learning primarily rely on

Things to keep in mind:

### Focus of Written Test

- Linear algebra
- Probability theory & random variables
- Mathematical aptitude

#### Interview has a broader scope

- Linear algebra, probability, math aptitude, programming aptitude
- Communications, Signal Processing
- Your area of interests and previous projects

Linear Algebra |
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Vector spaces, linear independence, basis, dimension |

Inner product and norm |

Matrix algebra, rank, eigenvectors, determinant |

Solving systems of linear equations |

Special matrices (diagonal, triangular, orthogonal, symmetric etc.) |

Probability & Random Variables |
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Probability density and distributions |

Combinatorial probability |

Binomial, exponential, normal, Poisson, exponential random variables |

Jointly distributed random variables |

Mean, variance, mode etc. |

Independence, Conditional probability, Bayes theorem |

### References

- David Lay, “Linear Algebra and its Applications”, Pearson.
- Gilbert Strang, “Linear Algebra and its Applications”, Cengage.
- Erwin Kreyszig, “Advanced Engineering Mathematics”, John Wiley & Sons.
- Athanasios Papoulis and S. Unnikrishna Pillai, “Probability, Random Variables and Stochastic Processes”, McGraw Hill.
- Sheldon Ross, “A First Course in Probability”, Pearson.

### MTech 3 Year RA Placements

Academic Year | Avg CTC (in Lakh INR) | Min CTC(in Lakh INR) | Max CTC(in Lakh INR) |
---|---|---|---|

2019-20 | 35.33 | 22.5 | 52.45 |

2020-21 | 22.5 | 22.5 | 22.5 |

2021-22 | 22.59 | 11.5 | 40.24 |

#### List of recruiters:

Bharti Airtel, Yokogawa, TCS, Samsung Semiconductor, Qualcomm, Philips, Mediatek, Rakuten, Steradian Semiconductors

### Self-Sponsored MTech Placements

Academic Year | Avg CTC (in Lakh INR) | Min CTC(in Lakh INR) | Max CTC(in Lakh INR) |
---|---|---|---|

2021-22 | 24.74 | 11.71 | 40.24 |

#### List of recruiters:

Accenture S&C, Qualcomm,Mathworks, Mediatek,Rakuten,BEL

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