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Computer Science

ayesha.rashid

Created on January 15, 2021

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Transcript

Computer Science

START

Basics, Tools, Outcomes

TEXT

QUOTE

index

IMAGE

VIDEO

PROCESS

COMPARISON

TIMELINE

MAP

DATA

TEAM

THANKS

Major Areas of Computer Science Tools used in Computer Science Real Time Applications

Introduction to Computer Science

  • Computer Hardware
  • Computer Software
  • Introduction to Communication Technology
  • Database Systems
  • Computer Programming
  • Artificial Intelligence
  • Machine Learning

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Computer Hardware and Software , Database Systems

  • Brief discussion on necessary hardware
  • System software and Application software
  • Computer permanent and temporarily strategy
  • Hardware and software installation
  • Introduction to Database Systems
  • System development lifecycle
  • create a Case Study
  • Entity Relationship Diagram
  • Normalization
  • Implementation

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Artificial Intelligence (AI), Machine Learning (ML)

  • Introduction, history and goals of AI
  • Approaches and Applications of AI
  • Single and multipurpose projects
  • Future and conclusion of AI
  • Introduction, history and goals of ML
  • Supervised, unsupervised learning and reinforcement learning algorithms
  • Perceptron learning
  • Artificial Neural Networks
  • Machine Learning VS Artificial Intelligence
  • Machine Learning VS Deep learning

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"Everyone sholud learn how to code, it teaches you how to think"

Steve Jobs (1955 - 2011)

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Tools used in CS

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Self Video on ICT

Major Tools Used in CS

  • Git and Github
  • Phython
  • MySQL
  • MS SQL server management studio
  • Weka
  • RapidMiner
  • Google Cloud AutoML
  • Scikit Learn
  • TensorFlow

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DBMS: Software Development Lifecycle

  • Problem Identification
  • Requirement Gathering
  • Analysis on gathered requirements
  • Design
  • Analysis
  • coding
  • Implementation
  • Deployment
  • Maintance

Phases to develop a Computer Software

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Machine learning

Supervised Learning

Unsupervised Learning

Reinforcement

  • Data set extraction
  • Data preprocessing
  • Training and Testing data division
  • Algorithm selection
  • Training
  • evaluation with test set
  • classifier
  • Data Extraction
  • Data Preprocessing
  • Algorithm Selection
  • classifier
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Machine Learning

Artificial Intelligence

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AI VS ML VS DL

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Flow of Course Execution

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Introduction to Computer and Communication Network

Database Systems

Introduction to Computer Science

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Machine Learning

Artificial Intelligence

summerize the course

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Ayesha Rashid

Associate Lecturer Department of Computer Science

THANKS