Objectives: By the end of the course, you will know: > History and Structure of databases > How to design a database > How to convert the design into the appropriate tables > Handling Keys appropriately > Enforcing Integrity Constraints to keep the database consistent > Normalizing the tables to eliminate redundancies
Objectives: • To be able to formulate machine learning problems corresponding to different applications. • To understand a range of machine learning algorithms along with their strengths and weaknesses. • To understand the basic theory underlying machine learning. • To be able to apply machine learning algorithms to solve problems of moderate complexity. • To be able to read current research papers and understands the issues raised by current research.
Objectives: • To apply the fundamentals of Computer Systems Design and IT in devising IT solutions. • To Design, simulate, and analyze digital hardware. • To Interface between basic hardware and software computing systems. • To Simulate and evaluate different computing architectures.
