Academic Year: 2021-2022 II Year II Sem Course Exit Survey

MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

Department of Computer Science & Engineering(DATA SCIENCE)

1.Strongly disagree
2.Disagree
3.Neutral
4.Agree
5.Strongly agree


A red asterisk (*) indicates required questions.

  1. 20MAT112 DISCRETE MATHEMATICAL STRUCTURES*

          1 2 3 4 5    
      CO1:Construct automata, regular expression for any pattern.Evaluate elementary mathematical arguments and identify fallacious reasoning (not just fallacious conclusions) for develop syntax of programming languages.   
      CO2:Apply the concepts inclusion/exclusion principle and the pigeonhole methodology in data structure and algorithm.   
      CO3:Learn elementary proofs and properties of modular arithmetical results; and explain their applications such as in coding theory and cryptography   
      CO4:Apply proof techniques towards solving problems in Boolean algebra and computer circuit designing.   
      CO5:Apply graph theory models and finite state machines concepts to solve critical networking issues, shortest path problems, scheduling, etc.   


  1. 20HUM101 ECONOMICS AND FINANCIAL ACCOUNTING FOR ENGINEERS*

          1 2 3 4 5    
      CO1:Understand Engineering economics basic concepts.   
      CO2:Analyze the concepts of demand, elasticity, supply, Production, Cost Analysis and its essence in floating of an organization.   
      CO3:Compare different market structures and identify suitable market.   
      CO4:Demonstrate an understanding and analyzing the accounting statements.   
      CO5:Exhibit the ability to apply knowledge of ratio analysis and capital budgeting techniques in financial statement analysis and investment evaluation respectively.   


  1. 20CSD107 OPERATING SYSTEMS FUNDAMENTALS*

          1 2 3 4 5    
      CO1:Write shell scripts using korn shell.   
      CO2: Create processes & threads and implement the various process scheduling techniques   
      CO3:Analyse the concurrent processing and deadlock situations.    
      CO4:Design algorithmic solutions to solve memory management problems.    
      CO5:Implement the different types of file management techniques.   


  1. 20CSD108 PYTHON FOR DATA SCIENCE*

          1 2 3 4 5    
      CO1:Identify phases involved in the life cycle of Data Science.   
      CO2: Preprocess and manage the data for efficient storage and manipulation in Python.   
      CO3: Realize the various data analytics techniques for labeled/columnar Data using Python Pandas.   
      CO4:Explore a flexible range of data visualizations approaches in Python.   
      CO5: Analyze various Machine learning algorithms for data modeling with Python.   


  1. 20CSD109 DESIGN AND ANALYSIS OF ALGORITHMS
    *

          1 2 3 4 5    
      CO1:Analyze the performance of different algorithms.   
      CO2:Identify optimal solution for different problems using greedy method and dynamic programming.   
      CO3:Implement various graph based algorithms.   
      CO4:Make use of backtracking and branch & Bound methods to solve real world problems.   
      CO5:Understand the complexity of NP problems and Approximation algorithms.   


  1. 20CSD206 OPERATING SYSTEMS FUNDAMENTALS LABORATORY*

          1 2 3 4 5    
      CO1:Understand the use of Linux commands   
      CO2: Compare the performance of processor scheduling algorithms   
      CO3:Design algorithmic solutions for process synchronization problems   
      CO4:Analyze the performance of various file management schemes   
      CO5: Implement different page replacement algorithms.   


  1. 20CSD207 PYTHON FOR DATA SCIENCE LABORATORY
    *

          1 2 3 4 5    
      CO1: Illustrate the use of various data structures.    
      CO2: Analyze and manipulate Data using Numpy and Pandas.    
      CO3:Creating static, animated, and interactive visualizations using Matplotlib.    
      CO4: Understand the implementation procedures for the machine learning algorithms.    
      CO5:Identify and apply Machine Learning algorithms to solve real-world problems using appropriate data sets.    


  1. 20CSD208 DESIGN AND ANALYSIS OF ALGORITHMS LABORATORY*

          1 2 3 4 5    
      CO1:Analyse the performance of different algorithms.   
      CO2: Apply various problem solving approaches   
      CO3: Identify optimal solution for different problems using greedy method and dynamic programming.   
      CO4: Implement various graph based algorithms.   
      CO5:Make use of backtracking method to solve real world problems.   


  1. 20ENG601 CORPORATE COMMUNICATION*

          1 2 3 4 5    
      CO1:Read articles from magazines and newspapers   
      CO2:Participate effectively in informal conversations   
      CO3:Introduce themselves and their friends and express opinions in English   
      CO4:Comprehend conversations and short talks delivered in English   
      CO5:Write short essays of a general kind, draft Reports and personal letters and emails in English.   


  1. 20HUM901 INDIAN CONSTITUTION*

          1 2 3 4 5    
      CO1:Understand the functions of the Indian government   
      CO2:Understand and abide the rules of the Indian constitution.   
Nandhini M