Introductory Concepts: Perceptron, multilayer perceptron, deep learning as composite functions, Loss functions, activation functions, backpropagation, deep learning frameworks (e.g., TensorFlow, PyTorch, Keras). Optimization Algorithms and Regularization Techniques; Convolutional Neural Networks (CNNs): architecture, pretrained models, transfer learning, backpropagation; Sequence Modeling: Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTMs), Gated Recurrent Units (GRUs), attention mechanisms, and their backpropagation; Encoderdecoder models.

Industrial Management: Development of Management thought-Management Functions – planning – organizing – power and authority-organization structures – span of control – delegation, leadership, directing and controlling-management by objectives-forecasting models.

Awareness of the impact of environment on quality of life – natural resources – biological systems – bio-geo chemical cycles – chemical processes; water treatment operations, water sampling, storage, quality measurement – oxygen demand – detection of pollutants– current environmental issues; pollutants, global warming, causes and consequences, air pollution, organic and inorganic air pollutants, smog-acid mine drainage, accumulation of salts in water– soil formation; micro and macro nutrients in soil, pollutants in soil – green chemistry: an alternative tool for reducing pollution – enginee