- Understand the Big Data Platform and its Use cases
- Provide an overview of Apache Hadoop
- Provide HDFS Concepts and Interfacing with HDFS
- Understand Map Reduce Jobs
- Apply analytics on Structured, Unstructured Data.
- Exposure to Data Analytics with R.
- Teacher: Dr. Fazlul Hasan Siddiqui
Introduction to AI; Advanced search techniques in AI: Heuristic
search, Local search, Adversarial search; Genetic and evolutionary
algorithm, Knowledge-based system design: Propositional logic,
First-order logic, Planning logic, Modeling constraint satisfaction and
optimization problems in MiniZinc; Advanced plan generating systems:
Automated classical planning, Partial-order planning (POP), SAT
Planning, Hierarchical task network (HTN) planning; Bayesian network and
probabilistic reasoning: Uncertain reasoning, Probabilistic reasoning,
Bayesian Network, Dynamic Bayesian Network; Introduction to deep
learning: Deep belief network, Deep neural network, deep learning for
natural language processing and computer vision; Introduction to
Robotics and Robot programming.
- Teacher: Fazlul Hasan Siddiqui