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AKTU Special Topics in Artificial Intelligence (MNAM701) Syllabus PDF – B.Tech Minor Degree in Artificial Intelligence and Machine Learning
Special Topics in Artificial Intelligence MNAM701
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Official AKTU syllabus of Special Topics in Artificial Intelligence (MNAM701) for B.Tech Minor Degree in Artificial Intelligence and Machine Learning – 4 credits, L-T-P 3-1-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Special Topics in Artificial Intelligence
Download PDFMNAM701 · 4 credits · L-T-P 3-1-0
Course Outcomes
At the end of course , the student will be able to understand
| CO 1 | To give fundamental knowledge to the students so that they can understand what the AI is and study important topics related to the field. |
| CO 2 | To understand various AI techniques. |
| CO 3 | To decide when to use which type of AI technique |
| CO 4 | To understand the role of uncertainty measures and principles in AI. |
Course Content
| Unit | Topic | Proposed Lecture |
|---|---|---|
| I | Bayesian Filtering; Recurrent Neural Networks, Deep Neural Networks, Deep Reinforcement Learning. | 09 |
| II | Self-Play Networks, Generative Adversarial Networks, Learning from Concept- Drifting Data Streams. | 07 |
| III | Audio Signal Processing Basics, mirtoolbox contains many useful audio processing library functions, VOICEBOX: Speech Processing Toolbox for MATLAB, Audio processingin Matlab. | 09 |
| IV | Architectures for second generation knowledge based systems, Distributed AI and its applications. | 10 |
| V | An introduction to neurocomputing and its possible role in AI, The role of uncertainty measures and principles in AI. | 7 |
Text Books
- Dr. Nilakshi Jain, Artificial Intelligence: Making a System Intelligent, John Wiley & Sons.
- Artificial Intelligence & Soft Computing for Beginners, 3rd Edition-2018, by Anindita Das, Shroff Publisher Publisher.
- Artificial Intelligence: A Modern Approach, 3rd Edition, by Stuart Russell and Peter Norvig, Pearson Publisher.
- New Artificial Intelligence (Advanced), Takashi Maeda and Fumio Aoki, Ohmsha Publisher.
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