Artificial Intelligence In Healthcare
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Follow on Instagram for UpdatesArtificial Intelligence In Healthcare Syllabus — Unit-wise Content
The official GTU curriculum for Artificial Intelligence In Healthcare (subject code 4360307) as prescribed for ELECTRICAL · Semester 6 divides the course into 3 units, covering 21 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (4360307)Unit 1 Introduction to Artificial Intelligence
- 1.1. Intelligence: Define, Types, Human and Machine Intelligence.
- 1.2. Artificial Intelligence (AI): Basic of AI, Strong AI, Weak AI, Reactive machines, Limited Artificial Intelligence in Healthcare Course Code: 4360307 NITTTR Bhopal – GTU - COGC-2021 Curriculum
- 1.3. History of Artificial Intelligence
- 1.4. Need for Artificial Intelligence
- 1.5. Relationship between Artificial Intelligence, Machine Learning and Deep Learning
- 1.6. Advantages, Disadvantages and Future of Artificial Intelligence
- 1.7. Applications of Artificial Intelligence
Unit 2 Fundamental of Artificial Neural Networks
- 2.1. Basic of Artificial Neural Network (ANN)
- 2.2. History of ANN
- 2.3. Biological Neuron
- 2.4. Architecture of an artificial neural network
- 2.5. Types of Artificial Neural Networks: Feedback ANN, Feed-Forward ANN
- 2.6. Types of Learning: Supervised, Unsupervised and Reinforcement
- 2.7. Advantages of Artificial Neural Network
- 2.8. Disadvantages of Artificial Neural Network
- 2.9. Applications of Artificial Neural Networks
Unit 3 Supervised Learning Models
- 3.1. Introduction of Supervised Learning: Define Regression, Classification, Clustering, Real- world Applications Examples.
- 3.2. Steps in Supervised learning.
- 3.3. Types of supervised learning algorithms:
- 3.3.1. Regression: Linear Regression, Regression Trees, Non-Linear Regression, Bayesian Linear Regression, Polynomial Regression.
- 3.3.2. Classification: Random Forest, Decision Trees, Logistic Regression, Support vector Artificial Intelligence in Healthcare Course Code: 4360307 NITTTR Bhopal – GTU - COGC-2021 Curriculum Note: The UOs need to be formulated at the ‘Application Level’ and above of Revised Bloom’s Taxonomy’ to accelerate the attainment of the COs and the competency.
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