Academic Year: 2022-2023 II Year I Sem (A sec)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. 20MAT111 PROBABILITY AND STATISTICS FOR COMPUTER SCIENCE*

          1 2 3 4 5    
      CO1:Understand the probability concepts and their importance in engineering.   
      CO2:Apply discrete and continuous probability distributions to solve various engineering problems.   
      CO3:Get an idea about joint density functions, distribution functions to the random variables and analyse the multivariate problems in engineering    
      CO4:Apply the method of least squares to estimate the parameters of a regression model. grammar.   
      CO5:Perform Test of Hypothesis as well as calculate confidence interval for a population parameter for single sample and two sample cases.   


  1. 20CSD103 COMPUTER SYSTEM ARCHITECTURE*

          1 2 3 4 5    
      CO1: Design digital circuits for computer components.   
      CO2:Implement fixed-point and floating point arithmetic unit.   
      CO3:Understand the basics structure of computers, operations and instructions.   
      CO4:Understand pipelined execution and parallel processing architectures.   
      CO5:Analyze the various memory systems and I/O communication.   


  1. 20CSD104 DATA STRUCTURES USING PYTHON*

          1 2 3 4 5    
      CO1:Describes the Abstract Data Types, Arrays, Sets and Maps   
      CO2:Explains the Algorithm Analysis, Searching and Sorting   
      CO3:Understand the Linked Structures, Stacks, and Queues   
      CO4:Examine the Advanced Linked Lists, Recursion, and Hash Tables   
      CO5:Construct of Advanced Sorting, Binary Trees, and Search Trees   


  1. 20CSD105 OBJECT ORIENTED PROGRAMMING - JAVA
    *

          1 2 3 4 5    
      CO1:Choose object-oriented programming concepts for problem solving.   
      CO2: Create and use packages and interfaces.   
      CO3:Develop multithreaded applications with synchronization.   
      CO4:Provide computed based solutions by using java collection framework and I/O classes   
      CO5:Design GUI based applications   


  1. 20CSD106 FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE*

          1 2 3 4 5    
      CO1:Formulate a problem and build intelligent agents.   
      CO2:Apply appropriate searching techniques to solve a real world problem.   
      CO3:Evaluation of different uninformed search algorithms on well formulate problems along with stating valid conclusions that the evaluation supports.    
      CO4:Formulate and solve given problem using Propositional and first order logic.   
      CO5: Formulate and solve given problem using Propositional and first order logic.    
      CO6: Apply reasoning for non-monotonic AI problems.    


  1. 20CSD203 DATA STRUCTURES USING PYTHON LABORATORY*

          1 2 3 4 5    
      CO1:Describes the Abstract Data Types, Arrays, Sets and Maps   
      CO2:Explains the Algorithm Analysis, Searching and Sorting   
      CO3:Understand the Linked Structures, Stacks, and Queues   
      CO4:Examine the Advanced Linked Lists, Recursion, and Hash Tables   
      CO5:Construct of Advanced Sorting, Binary Trees, and Search Trees   


  1. 20CSD204 OBJECT ORIENTED PROGRAMMING - JAVA LABORATORY*

          1 2 3 4 5    
      CO1:Solve real world problems using OOP techniques.   
      CO2:Implement string handling and file handling methods.    
      CO3: Design multithreaded applications with synchronization.   
      CO4:Develop web applications using AWT components.   
      CO5:Create GUI based applications   


  1. 20CSD205 FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE LABORATORY*

          1 2 3 4 5    
      CO1:Formulate a problem and build intelligent agents.   
      CO2: Apply appropriate searching techniques to solve a real world problem   
      CO3:Evaluation of different uninformed search algorithms on well formulate problems along with stating valid conclusions that the evaluation supports.   


  1. 20CHE901 ENVIRONMENTAL SCIENCE

          1 2 3 4 5    
      CO1:Ability to understand the natural environment, its relationship with human activities and need of the day to realize the importance of the renewable energy sources.   
      CO2:The knowledge of various ecosystems and their importance along with the concepts of food chains, food webs and ecological pyramids.   
      CO3:Familiarity with biodiversity, its importance and the measures for the conservation of biodiversity.   
      CO4:The knowledge about the causes, effects and controlling methods for environmental pollution, along with disaster management and solid waste management.   
      CO5:Awareness about the sustainable development, environmental ethics, social issues arising due to the environmental disorders.   


  1. 20CSD602 ANDROID APPLICATION DEVELOPMENT

          1 2 3 4 5    
      CO1:Work on android basic components and Install android   
      CO2:Create User Interfaces with various Layouts and views using android building blocks   
      CO3:Work with Broadcast Receivers and Services   
      CO4:Create Database in Android, Store and Retrieve data using SQLite and Content Providers   
      CO5:Develop widgets, Wall papers for an android application and write programs based on Sensors   
Nandhini M