All Course (166)

Data Structures AND Algorithms | 2023F

• 16 Lessons

Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such

Data Structures AND Algorithms | 2023C

• 16 Lessons

Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such

Data Structures AND Algorithms | 2023E

• 16 Lessons

Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such

Data Structures AND Algorithms | 2023D

• 16 Lessons

Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such

Data Structures AND Algorithms | 2023B

• 16 Lessons

Examining the concepts of data structures and algorithms that can be applied to computer programs. The discussion begins with understanding algorithms and simple algorithms such

Mathematical Statistics | 2023F

• 16 Lessons

This course examines sampling distributions, methods for estimating parameters (Moment method, maximum likelihood function, Bayesian estimator) and hypothesis testing theory.