BECMoodle: All courses

To outline an overview of exploratory data analysis.
To implement data visualization using Matplotlib.
To perform univariate data exploration and analysis.
To apply bivariate data exploration and analysis.
To use Data exploration and visualization techniques for multivariate and time series data

To critically analyze the efficiency of alternative algorithmic solutions for the same problem
To illustrate brute force and divide and conquer design techniques.
To explain dynamic programming and greedy techniques for solving various problems.
To apply iterative improvement technique to solve optimization problems
To examine the limitations of algorithmic power and handling it in different problems.

To analyze and design combinational circuits.
To analyze and design sequential circuits
To understand the basic structure and operation of a digital computer.
To study the design of data path unit, control unit for processor and to familiarize with the hazards.
To understand the concept of various memories and I/O interfacing.

To extend student’s logical and mathematical maturity and ability to deal with abstraction.
To introduce most of the basic terminologies used in computer science courses and
application of ideas to solve practical problems.
To understand the basic concepts of combinatorics and graph theory.
To familiarize the applications of algebraic structures.
To understand the concepts and significance of lattices and boolean algebra which are widely used in computer science and engineering.

II AI & DS