For students of first year

Course name: Introduction to programming in python 

Course outcomes:

After successful completion of this course, student will be able to:

CO 1: Interpret the fundamental Python syntax and semantics and be fluent in the use of Python control flow statements.

CO 2: Express proficiency in the handling of strings and functions.

CO 3: Determine the methods to create and manipulate Python programs by utilizing the data structures like lists,  dictionaries, tuples and sets.

CO 4: Identify the commonly used operations involving file systems and regular expressions.

CO 5: Articulate the object oriented programming concepts such as encapsulation, inheritance and polymorphism as used in Python.

For students of second year : 

Course name: Python for Scientific Computing and data visualization.

Course outcomes:

After successful completion of this course, student will be able to:

CO 1 : Describe the needs and requirements of scientific computing and to familiarize python programming language for scientific                      computing and data visualization.

CO 2 : Approximate an array/matrix with matrix decomposition using Python

CO 3 : Implement numerical integration and differentiation using Python

CO 4 : Solve ordinary differential equations for engineering applications using Python

CO 5 : Compute with exported data from instruments using Python

CO 6 : Realize how periodic functions are constituted by sinusoids using Python

CO 7 : Simulate random processes and understand their statistics using Python

For students of third year

Course name : Computer Vision and AI

Course Outcomes:

After successful completion of this course, student will be able to:

CO 1: Write, Test and Debug Python Programs

CO 2: Identify basic concepts, theories and methods in the field of computer vision.

CO 3: Develop and apply computer vision techniques for solving practical problems.

CO 4: Develop hands-on experience to process images using AI.

CO 5: Use different machine learning techniques to design AI based solutions for real world problems.

For students of final year

Course name: Industrial oriented Semi custom layout design using Cadence and Microwind tool 

Course Outcome: 

After successful completion of this course, student will be able to:

CO1: Familiarise with Microwind and Cadence  CAD tools

CO2: To analyse and implement various CMOS circuits using Micro wind and Cadence

CO3: Generate interest for the students to do work on core.