myIIT
Course Work
On joining the Institute every student is required to plan his/her coursework in consultation with a Faculty Advisor.
Credit Requirements
All students of the MS programme are normally required to complete the prescribed 34 credits within the first two semesters from the date of joining, by completing the coursework prescribed by the faculty advisor.
In addition, the research scholars should complete PP/NP course on Communication Skills.
MS students will be allowed to take additional courses beyond the prescribed 34 credits, with the approval of APEC.
MS students will be allowed to take only one UG course for credit requirements.
Additional details on course work can be found in MS-R.4.1 in MS Rule Book
Performance Requirements
A MS student must fulfil the following performance requirements:
A student MUST get at least CC grade in EVERY course (other than optional) registered as a credit course, including seminar.
Academic Probation to the students having lower grade than the minimum requirement for continuation of their studies may be given. For students who have scored grade lower than CC in at most one course in their first semester may be offered an academic probation, with appropriate conditions decided by APEC.
List of PG Courses from EECE Department | |||
S.No | Course Code | Name of Course | L-T-P-C |
| 1 | EE 601 | Analog IC Design | 3-0-0-6 |
| 2 | EE 602 | Probability Models | 3-0-0-3 |
| 3 | EE 603 | Electric Drives for EVs - I | 3-0-0-3 |
| 4 | EE 604 | Electric Drives for EVs - II | 3-0-0-3 |
| 5 | EE 605 | Probability Theory and Random Processes | 3-0-1-6 |
| 6 | EE 606 | Pattern Recognition and Machine Learning | 3-0-0-6 |
| 7 | EE 607 | Power System Dynamics and Control | 2-0-1-6 |
| 8 | EE 608 | Wireless Communication | 3-0-0-6 |
| 9 | EE 609 | Pattern Recognition and Machine Learning | 3-0-3-9 |
| 10 | EE 610 | VLSI Design | 3-0-0-6 |
| 11 | EE 611 | Neural networks and deep learning (NNDL) Laboratory | 0-0-3-3 |
| 12 | EE 612 | Pattern Recognition and Machine Learning (PRML) Laboratory | 0-0-3-3 |
| 13 | EE 613 | Speech Processing Laboratory | 0-0-3-3 |
| 14 | EE 614 | Data Analysis and Visualization Lab | 0-0-3-3 |
| 15 | EE 620 | Neural Networks and Deep Learning | 3-0-0-6 |
| 16 | EE 621 | Speech Processing | 3-0-0-6 |
| 17 | EE 622 | Multivariable Control Systems | 3-0-0-6 |
| 18 | EE 623 | Advanced Power Electronics and Drives | 3-0-0-6 |
| 19 | EE 624 | Optimization Theory and Algorithms | 3-0-0-6 |
| 20 | EE 625 | Design of Power Converters | 2-0-1-6 |
| 21 | EE 626 | VLSI Technology | 3-0-0-6 |
| 22 | EE 627 | Advanced Power Systems | 3-0-0-6 |
| 23 | EE 628 | Modeling and Control of Renewable Energy Resources | 3-0-0-6 |
| 24 | EE 629 | Probability Models and Applications (PMA) | 3-0-0-6 |
| 25 | EE 630 | Advanced Topics in Speech Processing | 3-0-0-6 |
| 26 | EE 631 | Advanced Electric drives | 2-0-2-6 |
| 27 | EE 632 | System design of electronic products | 3-0-0-6 |
| 28 | EE 633 | Mixed signal VLSI Design | 3-0-0-6 |
| 29 | EE 634 | Linear Algebra and its Applications | 3-0-0-6 |
| 30 | EE 635 | Speech Processing | 3-0-3-9 |
| 31 | EE 636 | Advanced Analog Circuits | 3-0-0-6 |
| 32 | EE 637 | Physics of Nanoscale Devices | 3-0-0-6 |
| 33 | EE 638 | Advanced Topics in Control Systems | 3-0-0-6 |
| 34 | EE 639 | Modern Statistics for Engineers | 3-0-0-6 |
| 35 | EE 640 | Game Theory with Control Applications | 3-0-0-6 |
| 36 | EE 641 | Renewable Energy | 3-0-0-6 |
| 37 | EE 642 | Microgrid Dynamics and Control | 3-0-0-6 |
| 38 | EE 643 | Power System Operation and Control | 3-0-0-6 |
| 39 | EE 644 | Power System II | 3-0-0-6 |
| 40 | EE 645 | Electrical Machines II | 3-0-0-6 |
| 41 | EE 646 | Advanced Topics in Artificial Intelligence | 3-0-0-6 |
| 42 | EE 647 | Introduction to Machine Learning | 3-0-0-6 |
| 43 | EE 648 | Nanoelectronics | 3-0-0-6 |
| 44 | EE 650 | Introduction to Aerial Robots | 2-1-0-6 |
| 45 | EE 651 | Dynamics and control of aerial robots | 2-1-0-6 |
| 46 | EE 652 | Autonomous navigation | 2-1-0-6 |
| 47 | EE 653 | Electric Vehicles: Systems and Components | 3-0-0-6 |
| 48 | EE 654 | Smart Grid | 3-0-0-6 |
| 49 | EE 655 | Data Science and Visualization Lab | 0-0-3-3 |
| 50 | EE 656 | VLSI Testing and Testability | 3-0-0-6 |
| 51 | EE 657 | Introduction to HIL testing methods | 1-0-1-3 |
| 52 | EE 658 | Battery Technology | 3-0-0-6 |
| 53 | EE 659 | Electric Vehicles: Systems and Components | 2-0-2-6 |
| 54 | EE 660 | Introduction to Electric Drives | 3-0-0-6 |
| 55 | EE 661 | EV Charging and Ancillary Services | 3-0-0-6 |
| 56 | EE 662 | Advanced Methods in HIL Testing of Electric Transportation Systems | 2-0-2-6 |
| 57 | EE 664 | Electric and Hybrid Vehicles | 3-0-0-6 |
| 58 | EE 665 | Robotics and Automation | 3-0-2-8 |
| 59 | EE 666 | Intro to EV Architecture | 1.5-0-3-3 |
| 60 | EE 667 | Stochastic Process and its Applications | 3-0-0-3 |
| 61 | EE 668 | Mathematics for Data Science I | 3-0-0-3 |
| 62 | EE 669 | Mathematics for Data Science II | 3-0-0-3 |
| 63 | EE 670 | Fundamentals of Speech Processing (FSP) | 3-0-0-3 |
| 64 | EE 671 | Machine Learning of Speech Processing (MLSP) | 1.5-0-0-3 |
| 65 | EE 672 | Deep Learning of Speech Processing (DLSP) | 1.5-0-0-3 |
| 66 | EE 673 | Pattern Recognition | 3-0-0-3 |
| 67 | EE 693 | Machine Learning (Ml) | 1.5-0-0-3 |
| 68 | EE 675 | Artificial Neural Networks (Ann) | 3-0-0-3 |
| 69 | EE 676 | Deep Learning (Dl) | 1.5-0-0-3 |
| 70 | EE 677 | Introduction to Battery Management Systems | 3-0-0-3 |
| 71 | EE 678 | PWM Techniques | 3-0-0-3 |
| 72 | EE 679 | Signals, Systems and Controls | 3-0-0-3 |
| 73 | EE 680 | Digital Signal Processing and Communications | 3-0-0-3 |
| 74 | EE 681 | Machine Learning (Ml) | 1.5-0-3-3 |
| 75 | EE 682 | Computational Techniques And Optimisation | 1.5-0-3-3 |
| 76 | EE 683 | Embedded Systems | 1.5-0-3-3 |
| 77 | EE 684 | Design of Power Converters | 1.5-0-3-3 |
| 78 | EE 687 | Optimization Methods for Wireless Communication and Machine Learning | 3-0-0-6 |
| 79 | EE 688 | Physics of Transistor | 3-0-0-6 |
| 80 | EE 689 | Semiconductor Radiation Detectors | 3-0-0-6 |
| 81 | EE 701 | Power Semiconductor Devices | 3-0-0-6 |
| 82 | EE 706 | Advanced Topics in Signal Processing | 3-0-0-6 |
| 83 | EE 703 | Stochastic Control and Learning for Networked systems | 3-0-0-6 |
| 84 | EE 704 | Theory of Machine Learning | 3-0-0-6 |
| 85 | EE 705 | Seminar | |
