Artificial Intelligence and Machine Learning detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 4th Sem scheme and its subjects, do visit IT 4th Sem 2021 regulation scheme. The detailed syllabus of artificial intelligence and machine learning is as follows.
Course Objectives:
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Unit I
PROBLEM SOLVING 9 Introduction to AI – AI Applications – Problem solving agents – search algorithms – uninformed search strategies – Heuristic search strategies – Local search and optimization problems – adversarial search – constraint satisfaction problems (CSP)
Unit II
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Unit III
SUPERVISED LEARNING 9 Introduction to machine learning – Linear Regression Models: Least squares, single & multiple variables, Bayesian linear regression, gradient descent, Linear Classification Models: Discriminant function – Probabilistic discriminative model – Logistic regression, Probabilistic generative model -Naive Bayes, Maximum margin classifier – Support vector machine, Decision Tree, Random forests
Unit IV
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Unit V
NEURAL NETWORKS 9 Perceptron – Multilayer perceptron, activation functions, network training – gradient descent optimization – stochastic gradient descent, error backpropagation, from shallow networks to deep networks -Unit saturation (aka the vanishing gradient problem) – ReLU, hyperparameter tuning, batch normalization, regularization, dropout.
Practical Exercises:
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Course Outcomes:
At the end of this course, the students will be able to:
- Use appropriate search algorithms for problem solving
- Apply reasoning under uncertainty
- Build supervised learning models
- Build ensembling and unsupervised models
- Build deep learning neural network models
Text Books:
- Stuart Russell and Peter Norvig, Artificial Intelligence – A Modern Approach, Fourth Edition, Pearson Education, 2021.
- Ethem Alpaydin, Introduction to Machine Learning, MIT Press, Fourth Edition, 2020.
Reference Books:
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For detailed syllabus of all other subjects of Information Technology, 2021 regulation curriculum do visit IT 4th Sem subject syllabuses for 2021 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.